Saturday, May 31, 2025

< + > Weekly Roundup – May 31, 2025

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week.

Reducing Wait Times, Improving Appointment Scheduling, and Ensuring Timely Communication. Every provider is seeking to address these concerns. Experts in the Healthcare IT Today community recommended agentic AI, self-scheduling, care orchestration, automated prior authorization, and pre-visit paperwork, among other solutions. Read more…

Designing Tech That Empowers Patients to Take an Active Role in Their Care. We asked the Healthcare IT Today community how to make this happen, too. Responses included proactive outreach, behavioral profiling, streamlined scheduling, remote monitoring, and intuitive data platforms. Read more…

Online Booking Improved the Patient Experience and Cut Call Center Costs. Florida-based My Health Onsite went from 0% to 80% of appointments booked online in one year. What helped, Jason Tomlinson and Jason White told Colin, was using a “reason-for-visit” based system that only showed providers who could meet patients’ needs. Read more…

Inside eHealth 2025: Why Healthcare CIOs Should Pay Attention. As a preview of Canada’s biggest health IT event, Colin interviewed Shelagh Maloney, CEO at Digital Health Canada. They discussed the increased presence of patients and startups at the event, as well as the potential to collaborate with policymakers. Read more…

Life Sciences Today Podcast: AI Workflows. Danny Liberman caught up with Nate Beyor at Salt AI to learn about the benefits of building and scaling AI workflows without extensive coding expertise. Read more…

Healthcare IT Today Podcast: The Latest KLAS Reports. John and Colin discussed what stood out in the acute care EHR, data and analytics, management consulting, and PACS assessments. Read more…

How Technology Can Heal Healthcare’s Human Flaws. Michael Campana at Amitech Solutions lost his oldest daughter, Cassidy, to cardiac arrest at just 29. Clinicians dismissed her acuity and failed to act with the diligence her life deserved. Michael said automated triage, systematic follow-ups, workflows to accommodate bereavement, and bias mitigation could have helped. Read more…

Agentic AI Is Driving a New Frontier for Intelligent Care and Operational Excellence. Rameez Chatni at Cloudera outlined administrative and clinical use cases for agentic AI and provided a roadmap for adoption that includes modern data infrastructure, strong governance, and pilots that will deliver high ROI. Read more…

Emerging Threats to AI-Based Diagnostics and Clinical Decision Support Tools. Bad actors can manipulate or reverse engineer AI models or damage data sets, noted Ed Gaudet at Censinet. Healthcare leaders should assess the risk of their AI tools – and make sure staff know which use cases are the most risky. Read more…

Are Managed Print Services a Prescription for Healthcare Efficiency? Offloading print management tasks can be a welcome relief for overburdened IT and clinical staff, said Jeff Wilson at Flex Technology Group. The key is ensuring security and compatibility with existing print environments. Read more…

This Week’s Health IT Jobs for May 28, 2025: Roles in clinical risk management, benefits management, and clinical quality assessment. Read more…

Bonus Features for May 25, 2025: 49% of patients who avoid portals say it’s because of data security concerns, and 61% of patients would pay a premium for a better experience. Read more…

Funding and M&A Activity:

Thanks for reading and be sure to check out our latest Healthcare IT Today Weekly Roundups.



Friday, May 30, 2025

< + > Is tech the answer to Europe’s growing healthcare workforce crisis?

As workforce shortages in healthcare continue to worsen, particularly in primary care and nursing, the demand for a resilient, skilled and adaptable healthcare workforce has never been greater.

< + > A Father’s Grief, a Professional’s Hope: How Technology Can Heal Healthcare’s Human Flaws

The following is a guest article by Michael Campana, VP of Marketing at Amitech Solutions

This is a story about loss, systemic failure, and the unrelenting hope that technology can prevent others from enduring the same pain. It’s a father’s grief – my grief – transformed into a professional’s mission.

A Needless Death

Today marks the anniversary of losing my oldest daughter, Cassidy, to cardiac arrest at age 29. Her name is etched into my heart, alongside questions that may never be answered. Cassidy was autistic, struggled with speech and verbalization, and was hypotonic, a low muscle tone condition that weakened her muscles and made communication and activity a daily struggle. Despite these challenges, she approached life with quiet determination.

In the final months before her passing, Cassidy was concerned about her dramatic weight gain, 152 pounds in just one year, and met with a weight loss doctor. In that meeting, she was prescribed a common GLP-1 weight loss drug. The practitioner collected no medical history and ordered zero blood work. Instead of losing weight, she continued to gain weight at an alarming rate, another 30 pounds in just 6 weeks. Additionally, she developed significant edema with her body swelling grotesquely and her skin weeping fluid. Because of this, she was forced to quit her job and became bedbound. Six weeks after her initial visit, she had a follow-up meeting with the same doctor to discuss these developments. The doctor noted every concern – even pointing out the severe edema in Cassidy’s ankles and feet – but deferred action to her primary care physician where we had an appointment already scheduled for the end of June, another six weeks later. We were given no sense of urgency, no recognition of the ticking clock beneath her symptoms. It should be noted that the doctor’s office was located within a hospital with an ER just steps away, but we were told it was fine to wait another six weeks. Sadly, she passed on May 30, one week and five days after that follow-up appointment.

The First Failure: A System That Didn’t See Her

The first failure was one of prioritization: clinicians dismissed her acuity. Cassidy’s edema and rapid weight gain should have been red flags for cardiac stress, yet her case was treated as routine. Her autism and hypotonia may have unwittingly overshadowed her physiological needs, a tragic example of how biases or rushed judgments can cloud clinical urgency and lead to preventable medical errors. Were these caregivers overworked, as is all too common in healthcare today? Yes, but they were also caregivers who overlooked a young woman in clear distress.

The Second Failure: A System That Didn’t Hear Us

The second failure came in the emergency room, minutes after her death. Amid our shock, a patient advocate told us no autopsy would be performed. It was “natural causes,” they said. They explained that we could have the autopsy if we chose to, but we would have to pay the cost ourselves. Hoping for answers and some closure, we told them that we wanted the autopsy, which they acknowledged. We also agreed to cover the out-of-pocket fee, which they said would be around $6,000. (Sidebar:  What is “natural” about a 29-year-old dying suddenly of cardiac arrest with no known cause?) We left the ER that morning believing three promises would be honored: an autopsy would happen (we told the patient advocate twice that we wanted the autopsy), her organs would be donated (her lifelong wish), and that she’d be cremated. But that’s not what happened.

After receiving her body from The Gift of Life organ donation center, the funeral home revealed to us that no autopsy was performed, and the organ and tissue donation meant that it was too late for an autopsy. Our frustrations continued when we reached out to the patient advocate, who suddenly did not recall our multiple requests for an autopsy. The hospital’s apathy and disorganization, not cost or our consent, robbed us of answers. Cassidy’s caregivers, in her final moments and beyond, failed to act with the diligence her life deserved. We were left with agonizing voids: Why did her heart fail? Could we have done something different? Could this have been prevented?  A lifetime of questions with no hope for answers. The indifference of those entrusted with her care compounded our grief.

The Promise of AI, Intelligent Automation, Data Analytics

Cassidy’s story isn’t just about what went wrong, it’s about what could have gone right. If you’ve ever felt invisible in a healthcare setting, you will understand why the intervention of technology, where human systems fail, matters.

For 35 years, I’ve worked in healthcare technology, advocating for tools, like AI in patient safety, to ease the burden on frontline workers. Cassidy’s death was not just a failure of overwhelmed systems, but of human attention. Clinicians dismissed her symptoms; administrators mishandled our final wishes. Technology alone cannot cure complacency, but it can force accountability into workflows where human judgment falters.

How Technology Could Have Changed Cassidy’s Story

  1. AI-Driven Triage & Escalation
    When Cassidy’s specialist noted her edema and dramatic weight gain, an AI system could have overridden the nonchalant referral process. For example, an AI system could correlate her symptoms with cardiac patterns common in hypotonia patients, flag her case as high-risk, and trigger critical interventions, such as same-day laboratory tests, an automated cardiologist alert, or an immediate referral to the ER just down the hall. No more relying on harried clinicians to “get around to it.”
  1. Automated Accountability
    A system tracking referrals and follow-ups could have escalated Cassidy’s delayed primary care appointment. This is the power of healthcare accountability: forcing systems to act when humans default to inertia. If her PCP’s schedule was full, an automated intelligent scheduler might have identified cancellations or routed her to an available provider. The “wait six weeks” mindset, a product of inertia, not necessity, would have been challenged.
  2. Bereavement Workflows with Teeth
    In the ER, our agreement to pay for an autopsy was lost in a fog of paperwork and passive assumptions. An automated bereavement platform could have required documented confirmation of an autopsy consent, syncing directly with the coroner’s office and funeral home. Digital documentation of Cassidy’s (and our) end-of-life wishes regarding donation, cremation, and autopsy would have created binding directives immune to human error or memory lapses.
  3. Bias Mitigation in Diagnostics
    Agentic AI could have countered diagnostic overshadowing. By cross-referencing Cassidy’s symptoms against data from patients with similar disabilities, it might have alerted clinicians: “Edema + rapid weight gain in verbally challenged autistic patients: 68% correlation with cardiac events.” Her care could have shifted from “manage later” to “act now.”

A Path Forward, Without Hype

Technology will not erase human complacency, nor absolve caregivers of their duty to see patients fully. Cassidy deserved clinicians who fought for her, not systems that enabled passivity. But tools exist to make indifference harder, to force urgency into workflows, transparency into handoffs, and accountability into every decision. It isn’t about pardoning human failures; it’s about preventing them. Every delayed diagnosis, every missed symptom, every broken promise to grieving families represents a preventable medical error and an opportunity for technology to intervene by:

  • Demanding attention where human focus wanes.
  • Enforcing protocols when human judgment is rushed.
  • Honoring consent even when humans overlook it.

A Promise to Cassidy

Cassidy’s death left me with unanswerable questions but also resolve. I still believe in the promise of the American healthcare system. Not because it is blameless, but because it is filled with people who want to do better. They deserve tools that make it impossible to do less.

To honor my daughter’s memory, I’ll keep fighting for solutions like AI in patient safety, intelligent automation, and data analytics. Not as industry buzzwords, but as digital guardians for the vulnerable. Not as profit centers, but as protective systems for people like Cassidy. Her story doesn’t have to be yours. Demand better systems. Insist on healthcare accountability. Advocate for the vulnerable. Share Cassidy’ story.

For Cassidy, who deserved more than assumptions. Who, like every patient, deserved to be seen.

About Michael Campana

Mike is a seasoned product marketing and creative strategist with over 35 years of healthcare marketing and sales experience. His extensive background spans enterprise services and solutions in the healthcare provider, payer, and pharmaceutical & life sciences segments, with a particular focus on providing market insight, analysis, and execution in support of brand strategy and value proposition creation. Prior to his role at Amitech, Mike drove healthcare marketing efforts for notable companies such as Healthcare Triangle, Conduent, Ricoh, Siemens Medical, and NextGen Healthcare. This wealth of experience has honed his expertise in navigating the complex landscape of healthcare marketing. Michael holds a BSBA degree in marketing from the University of South Florida. He currently resides in the Philadelphia, PA area, where he and his wife, Rebecca, have raised their three daughters.



< + > Centauri Health Solutions Acquires MedAllies, Broadens Health Data Network to Support Mission Critical Use Cases

Transaction Adds 1,000 Hospitals, 5,000 Ambulatory Organizations, and 125,000 Healthcare Providers to Industry-Leading Nationwide Clinical Exchange Network

Centauri Health Solutions, a Phoenix, Arizona-based health information technology company, announced its acquisition of MedAllies, a New York-based Health Information Service Provider (HISP) and Qualified Health Information Network (QHIN) focused on health data connectivity and clinical data exchange.

A trailblazer in healthcare interoperability, MedAllies serves more than 1,000 hospitals/health systems, 5,000 ambulatory organizations, and 125,000 healthcare providers, ensuring the secure and seamless transmission of critical health information through national networks. This acquisition boosts Centauri’s solutions with industry-leading integration, messaging, and record location services, enhancing access to care and financial support for patients, especially the most vulnerable.

“Centauri is the perfect partner for MedAllies. Our shared vision for interoperability and bi-directional exchange is essential to advancing healthcare,” said Dr. John Blair, CEO at MedAllies. “We are excited to offer our clients the broadest clinical exchange network to support mission-critical use cases.”

Mike McNelis, Centauri Co-Founder and CEO, added, “The addition of MedAllies strengthens our commitment to intelligently deliver clinical data solutions in a manner and form that facilitates value creation and empowers shared risk initiatives. Connecting the MedAllies HISP and best-in-class Care Enabled Network/QHIN with Centauri’s network and AI solutions offers significant value to all our clients.”

The acquisition was supported by Centauri’s lead investor, Abry Partners, along with Silversmith Capital Partners and SV Health Investors. Santander served as the financial advisor to MedAllies with HunterMaclean as legal counsel. Kirkland and Ellis was legal counsel to Centauri for the transaction.

About Centauri Health Solutions

Centauri Health Solutions offers technology-enabled solutions to health systems and health plans for various healthcare programs, including Medicare, Medicaid, Commercial, and Exchange. Through collaboration with clients, we improve the lives and health outcomes of patients and members through compassionate outreach, sophisticated analytics, and intelligent clinical data delivery. Centauri addresses market issues such as uncompensated care in health systems, risk-adjusted revenue for specialized populations, and enhances access to and quality of care measurement. Headquartered in Phoenix, Arizona, Centauri Health Solutions employs 1,500 associates nationwide. Centauri has been listed on the Inc. 5000 from 2019-2022, and the 2020 Deloitte Technology Fast 500 list. More details can be found at centaurihs.com.

About Abry Partners

Abry Partners is one of the most experienced and successful sector-focused private equity investment firms in North America. Since its founding in 1989, the firm has completed over $90 billion of leveraged transactions and other private equity or preferred equity placements. Currently, the firm manages over $5.0 billion of capital across its active funds. For more information about Abry Partners, visit abry.com.

About Silversmith Capital Partners

Founded in 2015, Silversmith Capital Partners is a Boston-based growth equity firm with $3.3 billion of capital under management. Silversmith’s mission is to partner with and support the best entrepreneurs in growing, profitable technology and healthcare companies. Representative investments include ActiveCampaign, Appfire, Apryse, DistroKid, impact.com, Iodine Software, LifeStance Health, Onbe, and Webflow. For more information, including a full list of portfolio investments, visit silversmith.com or follow the firm on LinkedIn.

About SV Health Investors

SV Health Investors is a private equity firm dedicated to investments in the healthcare and life sciences sector. Founded in 1993, with offices in Boston and London, SV manages >$2.0 billion across multiple investment strategies. SV’s dedicated healthcare growth-buyout strategy seeks to partner with experienced management teams to accelerate the success of innovative healthcare companies across outsourced services, life sciences and medical products, tech-enabled healthcare services, and healthcare information technology. Over the past 30+ years, SV has invested in 250+ healthcare companies. For more information about SV, visit svhealthinvestors.com.

Originally announced April 24th, 2025



< + > Tasmania enters 'Bluegum' phase of digital health transformation and more briefs

Also, the Victorian government has announced over $280 million in funding to make its virtual emergency department permanent.

Thursday, May 29, 2025

< + > Connected health needs more provider collaboration for better data integration

Deloitte researchers say IoT technologies could make for more agile health systems and better patient outcomes – if challenges to more widespread adoption can be resolved.

< + > Agentic AI is Driving a New Frontier for Intelligent Care and Operational Excellence in Healthcare

The following is a guest article by Rameez Chatni, Global Director AI Solutions – Pharmaceutical and Life Sciences at Cloudera

The last two years have seen an adoption boom of agentic AI. No longer confined to research labs or theoretical discourse, these intelligent agents—AI systems capable of making decisions and acting autonomously—are now being rapidly integrated into enterprise workflows. And healthcare is one of the most promising frontiers for these tools.

According to a recent study from Cloudera, over half of IT leaders have begun implementing agentic AI in the last two years, with 21% adopting the technology just within the past year. This rapid uptake reflects a pivotal moment: agentic AI has evolved from an emerging concept to a practical tool, accelerated by breakthroughs in large language models and automation technologies between 2023 and 2024.

This is more than a technological trend—it’s a strategic imperative. Nearly 60% of IT leaders surveyed believe that delaying AI adoption into 2025 could leave their organizations at a competitive disadvantage. For healthcare providers facing rising operational costs, clinician burnout, and escalating patient expectations, agentic AI is no longer a luxury—it’s a necessity.

Healthcare-Specific Use Cases: From Administrative Lift to Clinical Insight

While agentic AI adoption is generally widespread, the individual use cases across industries are quite different. For example, highly regulated industries such as finance and healthcare show a greater concern for compliance and transparency, whereas the technology sector is more concerned with integration complexity and talent gaps. Each industry must address a unique mix of obstacles—technical, organizational, and ethical—when rolling out AI agents.

With this, the leading use cases in healthcare include:

  • Appointment Scheduling (51%) – AI agents streamline patient access by automating complex scheduling workflows across departments and systems
  • Diagnostic Assistance (50%) – Clinicians are using AI-powered agents to analyze imaging or lab results, accelerating time-to-diagnosis and reducing the risk of oversight
  • Medical Records Processing (47%) – By automating administrative tasks, AI agents free up time for clinicians to focus on direct patient care

While these are the most common use cases across healthcare currently, there are several other workflows where agents can be implemented. For example:

  • Patient Flow Optimization: AI agents that predicts admission/discharge patterns to optimize bed allocation
  • Staffing Optimization Agents: Agents that forecast patient volumes and acuity to recommend optimal staffing levels
  • Supply Chain Management: Agents that predict supply needs and optimize inventory levels
  • Prior Authorization Agents: Systems that gather required documentation and manage insurance authorization processes
  • Coding and Billing Agents: AI that analyzes clinical documentation to suggest appropriate billing codes

Imagine a diagnostic agent trained on millions of X-ray images that can flag early-stage pneumonia or lung abnormalities invisible to the untrained eye. Or an agent that is dedicated to scheduling and rescheduling appointments, lifting the burden off of healthcare providers’ shoulders. Such tools are not replacing clinicians but augmenting them, offering evidence-based insights that enhance decision-making, improve diagnostic accuracy, and potentially save lives.

These agents are making a huge impact in reducing healthcare professional burnout, helping to manage busy workloads and streamline patient interaction. Another recent study shows that healthcare facilities using agentic AI for administrative tasks have led to a 40% reduction in those tasks and a 35% improvement in patient outcomes.

The Trust Imperative: Addressing AI Bias and Ethical Concerns

While every industry must navigate its own challenges with AI adoption, healthcare brings a unique mix of regulatory, ethical, and operational concerns. Data privacy, transparency, and compliance are top of mind, particularly given the industry’s heightened scrutiny under laws like HIPAA and the increasing emphasis on ethical AI use. One of the most pressing challenges facing agentic AI is the risk of algorithmic bias, where flawed or incomplete training data can skew results and perpetuate systemic inequities.

A landmark study from Yale University recently highlighted the pervasiveness of bias across the AI lifecycle—from data collection and model training to deployment and real-world application. When diagnostic tools are trained on non-representative datasets, they can underperform for underrepresented populations, leading to misdiagnosis and compromised care.

One example is disparities in treatment recommendations. A study published in Nature Medicine found that AI models have been seen to recommend different treatments for patients with identical clinical profiles based solely on socioeconomic status. Specifically, wealthier patients were more often advised to undergo advanced diagnostic tests like CT scans or MRIs, while lower-income patients were less likely to receive such recommendations.

For healthcare organizations, this is a call to action. Building trustworthy AI requires a commitment to inclusive data practices, transparency in decision-making, ethical governance from the ground up, and comprehensive bias testing– all of which require a modern data architecture to effectively manage. With a modern data architecture, healthcare organizations can prevent unauthorized manipulation or unintentional bias injection as well as easily support compliance with regulations like HIPAA or GDPR, ensuring ethical operations. A modern data architecture will also help combat unintentional AI bias by providing greater control to ensure that AI models are trained on correct, diverse, and representative datasets, pulling from secure data from various demographic groups to minimize biases that arise from homogeneous training data.

A Roadmap for Responsible Adoption in 2025 and Beyond

To fully realize the potential of agentic AI in healthcare— and beyond— organizations must take deliberate steps to prepare their infrastructure, people, and policies. Here are four key recommendations:

  • Modernize Your Data Infrastructure— Data privacy, quality, and interoperability are foundational to AI success; healthcare providers must invest in secure, unified platforms capable of handling the volume and complexity of health data, while maintaining rigorous privacy controls
  • Prioritize High-Impact, Low-Risk Projects— Start with contained use cases that offer measurable ROI, such as internal IT helpdesk agents or patient intake agents, before scaling to more complex clinical applications
  • Establish Accountability and Governance— AI agents don’t just provide insights—they take actions. Clear accountability structures must define who is responsible for their outcomes: developers, users, or the operations team; from there, build robust governance frameworks to ensure responsible deployment
  • Upskill Teams for Human-AI Collaboration—Equip staff with hybrid skills that bridge clinical expertise and AI literacy; encourage a culture of collaboration where AI is seen not as a threat, but as a partner in care

One main thing to remember when deploying agents is that they do not have to be autonomous right away. Ensuring that there is a human in the loop is essential for compliance in regulated industries like healthcare. These agents are meant to act as an assistant with tasks that can easily be automated, but are not meant to be a replacement for the human worker, especially when patients’ lives are potentially at stake.

Agentic AI is not just another wave of digital transformation—it’s a paradigm shift in how healthcare is delivered, experienced, and managed. By embracing this technology thoughtfully, healthcare leaders have a once-in-a-generation opportunity to drive better outcomes, enhance operational resilience, and create a more intelligent, equitable healthcare system. 

About Rameez Chatni

As Global Director AI Solutions—Pharmaceutical and Life Sciences at Cloudera, Rameez Chatni has more than a decade of experience and a robust skill set across biomedical, data, and platform engineering, machine learning, and more. Most recently, Rameez served as the Associate Director of Data Engineering at AbbVie, a biopharmaceutical company. He is passionate about creating end-to-end, innovative, and robust technical solutions for pressing business and customer-centric problems. Rameez holds a bachelor’s degree and a master’s degree in Electrical Engineering and a PhD in Bioengineering, both from Purdue University.



< + > Epicore Biosystems Expands Series B to $32M to Power Global Growth of Sweat-Sensing Wearable Technology

New Investment Fuels Expansion of Connected Hydration Wearables, Cloud Analytics, and Next-Gen Biomarker Validation

Epicore Biosystems, a digital health solutions leader developing advanced sweat-sensing wearables, today announced an additional $6M in Series B funding, bringing its total Series B raise to $32M. The follow-on round includes new backing from a San Francisco-based investor and marquee angel investors, along with continued support from Alumni Ventures and Joyance Partners.

This latest investment follows Epicore’s initial $26M Series B raise led by the Steele Foundation for Hope, and positions the company to accelerate its global expansion and scale next-generation sweat-sensing technologies.

Epicore wearables measure sweat composition and fluid losses, as well as important physiological markers like skin temperature, motion, and thermal flux to detect early signs of fatigue, heat exhaustion, and performance. The impact of its flagship product, Connected Hydration, has been detailed for industrial workers and athletes, most recently in Nature Digital Medicine, and piloted at major professional sports activation events like the 2025 Super Bowl. Connected Hydration is the first smart wearable solution to capture new hydration data streams and deliver real-time haptic alerts to guide personalized hydration routines, helping wearers stay ahead of their cognitive and physical recovery needs.

With fresh capital, Epicore is focused on key growth initiatives, including:

  • Expanding its Connected Hydration solution into industrial markets in Australia, the Middle East, and Asia
  • Scaling real-time cloud analytics with personalized hydration guidance and recommendations
  • Validating novel biomarkers for applications in kidney health and stress management

“Connected Hydration seamlessly captures multiple sweat and physiology biomarkers, and provides real-time haptic feedback, allowing the wearer to manage their hydration, fatigue, and recovery needs,” said Dr. Roozbeh Ghaffari, Co-Founder and CEO at Epicore Biosystems. “We’re thrilled to have mission-driven investors onboard who recognize both the value of new data streams and the utility of biosensor technologies to transform safety, well-being, and productivity.”

Epicore’s sweat-sensing wearables include the Gx Sweat Patch, commercialized in partnership with PepsiCo and Gatorade for hydration and wellness management of athletes, the Discovery Patch Sweat Collection System (FDA Class I registered) for clinical trials, and the Connected Hydration wearable and cloud platform tailored for industrial workers. These solutions provide real-time point measurements and continuous monitoring capabilities that address the full spectrum of needs for physically demanding occupations and wellness applications.

“Epicore’s biosensing technologies deliver precisely what large industries and enterprises need — science-backed digital tools to protect workers, boost productivity, and improve lives,” said Michael Edelhart, Managing Director at Joyance Partners. “We are proud to support the team’s efforts to fundamentally transform the way we approach hydration health, wellness, and performance at a global scale.”

Epicore’s growing list of enterprise partners includes Chevron, PepsiCo, Gatorade, United Airlines, Bechtel, Denka, Nitto, the U.S. Air Force, the Office of Naval Research, and the U.S. Army. Its biowearable solutions are deployed worldwide across energy, construction, manufacturing, aviation, and shipping sectors.

To learn more about Epicore and its solutions, visit epicorebiosystems.com.

About Epicore Biosystems

Epicore Biosystems is a digital health company spun out of Northwestern University’s Querrey Simpson Institute for Bioelectronics and the John Rogers Laboratory. Epicore has developed advanced sweat-sensing wearables that provide real-time personalized health insights. Their clinically validated biowearable solutions and cloud analytics are deployed globally and licensed by leading Fortune 1000 companies, the Department of Defense, and the National Institute of Health. To learn more, visit epicorebiosystems.com. Follow Epicore on LinkedIn.

Originally announced May 1st, 2025



Wednesday, May 28, 2025

< + > Emerging Cyber Threats to AI-Based Diagnostics and Clinical Decision Support Tools

The following is a guest article by Ed Gaudet, Founder and CEO at Censinet

As hyperbolic words go, transformation ranks near the top of the list. Yet, when something is truly transformative, it’s undeniable. And that is exactly what we have been witnessing with the use of artificial intelligence (AI) within the healthcare industry: a true digital transformation revolution.

With the AI healthcare market valued at $26.69 billion in 2024, and projected to reach over $600 billion by 2034, this transformation is not only reducing operational friction and administrative burden across healthcare organizations, but, more importantly, has the potential to improve patient outcomes through better diagnostics and clinical decision support..

However, this exciting transformation comes at a cost: increased cybersecurity risks — many of which healthcare professionals are not yet prepared to handle.

How AI Diagnostics and CDS Tools Could Be Targets

Before AI, traditional diagnostic and CDS systems prioritized the protection of patient data when it came to cybersecurity; however, as AI-based systems are increasingly involved in the interpretation of data for care-related decisions, the stakes have changed: cyberattacks on these systems no longer mean the potential loss of data, they can mean direct harm to the patient. Some of the techniques employed by bad actors include:

  • Model Manipulation: Adversarial attacks are when the actors make small but targeted changes to the input data, which in turn causes the model to analyze the wrong data; for example, a malignant tumor may be mistaken for a benign one, leading to catastrophic consequences
  • Data Poisoning: Attackers who access training data for AI model development can damage it, which leads to harmful or unsafe medical recommendations
  • Model Theft and Reverse Engineering: Attackers can obtain AI models through theft or logical examination to extract the model’s weaknesses, then either build new malicious versions or replicate existing models
  • Fake Inputs and Deepfakes: The injection of artificial patient information, manipulated medical records, and imaging results through systems leads to misdiagnosed treatments
  • Operational Disruptions: Medical institutions are using AI systems to make operational decisions, such as ICU triage; the disablement or corruption of these systems creates serious operational disruptions that put both patients at risk and result in critical delays throughout entire hospitals

Why the Risk is Unique in Healthcare

A mistake in healthcare could easily mean life and death. Therefore, wrong diagnoses due to a corrupted AI tool are more than a financial liability; it is an immediate threat to people’s lives. Furthermore, recognizing a cyberattack can take time, but the compromise of an AI tool can be instantly detrimental if clinicians use faulty information to make decisions on their patients’ treatment. Unfortunately, securing an AI system in this industry is extremely hard due to legacy infrastructures and limited resources, not to mention the complex vendor ecosystem.

What Healthcare Leaders Must Do Now

It is critical that leaders in the industry consider this threat carefully and prepare accordingly. Data is not the only asset that requires heavy protection, AI models, the training processes, and the entire ecosystem need protecting as well.

Here are key steps to consider:

  • Conduct Comprehensive AI Risk Assessments: Conduct thorough security evaluations before implementing any AI-based diagnostic or Clinical Decision Support (CDS) tools to understand risks and vulnerabilities, and plan for extended downtime in these systems..
  • Implement AI-Specific Cybersecurity Controls: Follow cybersecurity practices made for AI systems by conducting adversarial attack monitoring and model output validation, as well as ensuring secure algorithm update procedures
  • Secure the Supply Chain: Require third-party vendors to provide detailed information about model security, along with training data and update procedures; research by the Ponemon Institute has found that vulnerabilities in third-party vendors have accounted for 59% of healthcare breaches, therefore, healthcare organizations must ensure risk-focused contractual language enforces explicit cybersecurity measures that pertain to AI technologies
  • Train Clinical and IT Staff on AI Risks: Both clinical personnel and IT staff need thorough training about approved use cases and the particular security weaknesses existing within AI systems; the staff must receive training that enables them to recognize irregularities in AI output, indicating potential cyber manipulation or model hallucinations.
  • Advocate for Standards and Collaboration: Healthcare organizations should advocate for rigorous AI-specific standards and regulations, as well as collaborate and share identified vulnerabilities in AI technologies; the Health Sector Coordinating Council and HHS 405(d) program provide essential foundations, yet additional measures are necessary

The Future of AI in Healthcare Depends on Trust

AI has significant potential to transform care delivery and hospital operations; however, if cyber threats compromise these advancements, trust among clinicians and patients can quickly erode—jeopardizing not only adoption but patient safety itself.

Security must be embedded at every stage of AI development and implementation—it is not only a clinical and operational imperative but a moral one. Healthcare leaders have a responsibility to safeguard AI-driven diagnostics and clinical decision support tools with the same rigor applied to other critical systems. The future of healthcare innovation depends on trust as its foundation. Without secure, reliable AI systems that enhance clinical performance, we cannot earn or sustain that trust.

About Ed Gaudet

Ed Gaudet is the Founder and CEO at Censinet, with over 25 years of leadership in software innovation, marketing, and sales across startups and public companies. Formerly CMO and GM at Imprivata, he led its expansion into healthcare and launched the award-winning Cortext platform. Ed holds multiple patents in authentication, rights management, and security, and serves on the HHS 405(d) Cybersecurity Working Group and several Health Sector Coordinating Council task forces.



< + > Health data without borders

The European Health Data Space marks a major milestone in EU-wide health data sharing, aiming to empower citizens and enable secure, interoperable digital healthcare.

< + > This Week’s Health IT Jobs – May 28, 2025

It can be very overwhelming scrolling though job board after job board in search of a position that fits your wants and needs. Let us take that stress away by finding a mix of great health IT jobs for you! We hope you enjoy this look at some of the health IT jobs we saw healthcare organizations trying to fill this week.

Here’s a quick look at some of the health IT jobs we found:

If none of these jobs fit your needs, be sure to check out our previous health IT job listings.

Do you have an open health IT position that you are looking to fill? Contact us here with a link to the open position and we’ll be happy to feature it in next week’s article at no charge!

*Note: These jobs are listed by Healthcare IT Today as a free service to the community. Healthcare IT Today does not endorse or vouch for the company or the job posting. We encourage anyone applying to these jobs to do their own due diligence.



Tuesday, May 27, 2025

< + > Kettering Health says radiation oncology is back online after ransomware attack

Less than a week after a cyberattack caused the Ohio-based health system to shut down some of its care offerings, cancer patients again have access to radiotherapy treatments.

< + > Inside eHealth 2025: Why Healthcare CIOs Should Pay Attention

This year’s eHealth conference (#eHealth2025) in Toronto, Ontario will once again be a gathering of must-know digital health leaders in Canada. The conference also features more patient participants than ever to go alongside the energy brought by the startups in attendance. Learn more in this exclusive interview.

Healthcare IT Today sat down with Shelagh Maloney, the CEO of Digital Health Canada – a member-supported not-for-profit professional association that connects and empowers individuals as well as organizations working on digital health in Canada. Digital Health Canada is one of the organizers of the annual eHealth conference.

I asked Maloney what attendees can expect at this year’s event, what she is looking forward to the most, and why digital health leaders from Canada AND the United States should be at the conference.

Key Takeaways

  1. Patient voices will play a bigger role than ever before. A record number of patients are participating this year, bringing firsthand insight into what works—and what doesn’t—when it comes to digital health adoption and design.
  2. Startups are shaking things up. eHealth2025 is seeing a surge in startup participation, creating more opportunities for established players to connect with emerging innovators and fresh ideas.
  3. If you’re doing business in Canada, this is the room to be in. With national organizations like CIHI and Canada Health Infoway co-hosting, and a packed exhibitor floor, eHealth is the best place to understand how policy, vendors, and providers align in the Canadian healthcare system.

More Patient Involvement

For years, patients were the audience. Now, they’re becoming the contributing authors of the digital health story in Canada. The eHealth conference has committed itself to incorporate and embrace the patient voice for the past five years. It is nice to see that trend continue at eHealth2025.

“We’ll have more patients at this conference than we’ve ever had,” shared Maloney. “For the past five years we had a patient partner program. This year we had a record number of patients apply. We had a lot of interest from the patient community. When they’re at the table, it changes the dynamic.”

[NOTE: Shelagh and I both agree there is still a lot more work to be done to fully incorporate the patient voice in Canadian healthcare]

Bringing patient voices into the conversation earlier can help avoid costly design missteps, improve adoption, and drive tech initiatives that actually work in the real world. If you’re not already including patient input in your roadmap reviews or pilot testing, you’re likely missing a critical perspective.

Startups Are Raising the Stakes for Innovation
eHealth is one of my favorite places to engage directly with Canada’s digital healthcare startups. Why? Because if you are a startup at this conference (attending or presenting) it means you have real traction with healthcare organizations. According to Maloney, startups will be “taking it to the next level” this year at eHealth2025.

“There will be a lot of startups,” confirmed Maloney. “The big vendors are really excited to meet the startups because they don’t get that chance to interact with them. The startup community is taking it to the next level and will change the dynamic. They’re small, they’re hungry, and they just think differently.”

For digital health and health IT leaders, eHealth2025 will be a chance to explore how agile, niche startups can fill the gaps your current platforms or services don’t address. A quick scan of the startup zone could reveal solutions for faster data integration, better patient engagement, or specialized AI tools that are already being tested in Canadian healthcare organizations.

The Place Where Policy, Providers, and Platforms Align
There are plenty of places to talk about digital health, but few where you can actually see the full Canadian healthcare ecosystem come together in one place. eHealth brings together national organizations like CIHI, Canada Health Infoway and Digital Health Canada alongside health agencies from all levels of government, private vendors, startups, and healthcare providers.

That mix gives US and Canadian digital health denizens a rare opportunity to observe—and influence—how policy is turning into practice.

“All the big players are going to be there,” said Maloney. “The entire industry is going to be there. I’m excited about just having everybody together in one room.”

Bringing Digital Health Together in Canada

If your organization is looking to expand into Canada or adapt to new provincial regulations, this is where you need to be. You will meet key players who make purchasing and policy decisions across the Canadian healthcare ecosystem. You will also hear, first-hand, the challenges that healthcare organizations are facing and what they are doing to solve them.

Learn more about the eHealth conference at https://www.e-healthconference.com/

Learn more about Digital Health Canada at https://digitalhealthcanada.com/



< + > Teladoc Health Acquires UpLift, Expanding Consumer Access to Mental Health Care Services Through Covered Benefits

Acquisition Broadens Access to Virtual Mental Health Services with In-Network Health Plan Relationships Representing More Than 100 Million Covered Lives

Teladoc Health, the global leader in virtual care, today announced it has acquired UpLift, an innovative and tech-enabled provider of virtual mental health therapy, psychiatry, and medication management services.

The acquisition supports the company’s strategy to further enhance its leadership position in virtual mental health, including the ability for consumers served by its BetterHelp segment to access benefits coverage for mental health services. UpLift serves the health plan market and has arrangements covering over 100 million lives, a network of over 1,500 mental health professionals, important capabilities, and a talented team.

BetterHelp, as the largest consumer-oriented virtual therapy business of its kind, will leverage its market-differentiated experience and activation capabilities to provide consumers the ability to access their insurance coverage benefits through its relationship with UpLift. Therapists serving BetterHelp will also have an opportunity to be considered for inclusion in the benefits coverage network, based on the respective requirements, needs, and interests.

“BetterHelp was founded to remove the traditional barriers to therapy and make mental health care more accessible to everyone,” said Fernando Madeira, President at BetterHelp. “We believe joining forces with UpLift will help us advance that mission — especially for those seeking to use their coverage benefits — while also driving topline revenue growth that will help sustain and expand our impact over time.”

“Teladoc Health is uniquely positioned to help us accelerate the impact of our mission,” said Kyle Talcott, Founder and CEO at UpLift. “We are proud of our ability to help health plans expand access for their members to high-quality, affordable mental healthcare with leading patient outcomes. We couldn’t be more excited and confident that our health plan partners, patients, and providers will greatly benefit from the scale and expanded capabilities that this partnership brings to them.”

In addition to BetterHelp, Teladoc Health’s Integrated Care segment offers a range of digital tools, coaching, therapy, and psychiatry services for employers and health plans, and completed nearly a million mental health visits in 2024.

UpLift will continue to be led by its existing CEO, Kyle Talcott, and continue to serve the marketplace, with ongoing responsibility for its provider network management, quality and patient outcome oversight, and the acceptance and administration of insurance coverage.

Teladoc Health acquired UpLift in an all-cash transaction for $30 million, with up to $15 million in additional contingent earnout consideration. UpLift’s 2024 revenue was approximately $15 million. The transaction closed on April 30, 2025, and the results of UpLift will be included in the company’s BetterHelp reporting segment going forward.

About Teladoc Health

Teladoc Health empowers all people everywhere to live their healthiest lives by transforming the healthcare experience. As the world leader in virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person’s health journey. Teladoc Health leverages more than two decades of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals. For more information, please visit teladochealth.com.

Originally announced April 30th, 2025



Monday, May 26, 2025

< + > Pakistan explores AGI use in diagnostics, nurses' training

It has recently received $22 million in foreign direct investment to launch a national AI program.

< + > New AI-powered smart robots deployed at Mackay Memorial Hospital

The Taiwanese hospital also looks to expand the generative AI-powered robots across departments.

Sunday, May 25, 2025

< + > National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

It is set to try out the technology with the National University Hospital and Tan Tock Seng Hospital. 

< + > Singapore looks at applying agentic AI in healthcare

Meanwhile, a platform for the secure testing of generative AI has been made available to health professionals. 

< + > Bonus Features – May 25, 2025 – 49% of patients who avoid portals say it’s because of data security concerns, 61% of patients would pay a premium for a better experience, plus 31 more stories

Welcome to the weekly edition of Healthcare IT Today Bonus Features. This article will be a weekly roundup of interesting stories, product announcements, new hires, partnerships, research studies, awards, sales, and more. Because there’s so much happening out there in healthcare IT we aren’t able to cover in our full articles, we still want to make sure you’re informed of all the latest news, announcements, and stories happening to help you better do your job.

News and Reports

Partnerships

Products

News from the SIIM25 Annual Meeting

Sales

Company News

People

If you have news that you’d like us to consider for a future edition of Healthcare IT Today Bonus Features, please submit them on this page. Please include any relevant links and let us know if news is under embargo. Note that submissions received after the close of business on Thursday may not be included in Bonus Features until the following week.



Saturday, May 24, 2025

< + > Weekly Roundup – May 24, 2025

Welcome to our Healthcare IT Today Weekly Roundup. Each week, we’ll be providing a look back at the articles we posted and why they’re important to the healthcare IT community. We hope this gives you a chance to catch up on anything you may have missed during the week.

Real Talk on Medical Misinformation. At this year’s MaRS Health Impact event, Colin Hung heard a call to action to do a better job of telling the science story and sharing information in a consumable way. On a more positive note, he also identified five standout medical device and digital health companies addressing patient transfers, concussion detection, and more. Read more…

Automating Healthcare Form Processing in the Cloud. Among other key benefits, automated processing of forms speeds up care delivery. That can be crucial when hospital admission is necessary, Maggie Peña at Interlace Health told Brittany Quemby. Read more…

Finding the Right Technology Partner Makes All the Difference. Colin connected with Lyron Deputy, CEO at Delaware Sleep Disorder Centers, to learn about the role of self-scheduling and payment solutions in improving patient satisfaction. Read more…

Life Sciences Today Podcast: A Challenge to Neuralink. Dr. Rotem Kopel sat down with Danny Liberman to explain ABILITY Neurotech’s breakthrough in brain-computer interface development. Read more…

CIO Podcast: Private 5G Networks. Christian Lindmark at Stanford Health Care joined John to discuss why connectivity matters in the hospital and how a private 5G network has helped hospital operations. Read more…

Why AI Voice Is Finally Making Noise in Healthcare. Zain Qayyum at Medsender talked about the popularity of virtual receptionists that handle patient scheduling and automatically update EHRs. The most successful tools are both flexible and simple. Read more…

How Personalized Patient Engagement Cuts Through the Noise. The dimensions of patient segmentation are more intricate and multifaceted than marketing personas. Automation is the key to personalizing interactions to personal characteristics and preferences, said Kristen Jacobsen at RevSpring. Read more…

Integrated Scheduling and Engagement Empowers a Cohesive Patient Journey. While scheduling is an obvious starting point for patient outreach, ongoing omnichannel communication drives deeper engagement, according to Bryant Hoyal at Relatient. Read more…

Tech-Driven Strategies for Strengthening Patient Relationships. Poor communication contributes to patient churn. Organizations need an approach to engagement that enables consistent, empathetic outreach, said Kamal Anand at TeleVox and Mosaicx. Read more…

Bring Together Retrospective and Prospective Views to Transform Risk Management. While data silos hinder the effectiveness of risk models, Jay Ackerman at Reveleer said uniting retrospective and prospective risk adjustment creates a powerful feedback loop that’s further augmented with AI. Read more…

This Week’s Health IT Jobs for May 21, 2025: Roles in privacy, safety, and patient engagement. Read more…

Bonus Features for May 18, 2025: 64% of healthcare orgs expect more value-based care revenue in 2025, plus 53% of providers report success using AI for clinical documentation. Read more…

Funding and M&A Activity:

Thanks for reading and be sure to check out our latest Healthcare IT Today Weekly Roundups.



Friday, May 23, 2025

< + > HIMSSCast: Forecasting AI and health IT regulation under a Trump White House

There have been many big changes in health and tech policy so far in the president's second term, and there will probably be many more to come. An attorney discusses how health IT developers should be charting strategic course for the years ahead.

< + > Ascend Learning Acquires myTIPreport to Enhance MedHub Offering

Originally announced May 1st, 2025



< + > Korea's National Cancer Center to deploy robotic bronchoscopy and more briefs

Also, Gleneagles Hospital Chennai in India is embarking on brain health research to develop AI-powered solutions.

< + > Malaysia pilots medicine drone delivery

It will be introduced to 400 National Information Dissemination Centre hubs by 2027.

< + > Budget 2025: NZ’s scant funding for digital

Funding covers the upcoming 24/7 primary care telehealth, mental and addiction telehealth, and Pharmac's digitalisation. 

Thursday, May 22, 2025

< + > Plenful Raises $50M Series B to Expand AI-Powered Healthcare Automation Platform

New Funding will Accelerate Plenful’s Platform Expansion to Enhance Operational Efficiency and Deepen Adoption Across Top Healthcare Systems

Plenful, the leading AI workflow automation platform modernizing healthcare operations, today announced a $50 million Series B funding round. The round is co-led by Mitchell Rales, Co-Founder of Danaher Corporation, who also joins Plenful’s board and Arena Holdings, with participation from Notable Capital, Bessemer Venture Partners, TQ Ventures, Susa/Kivu Ventures, and other leading investors. This brings Plenful’s total funding to $76 million and will accelerate product development and go-to-market efforts to meet growing demand across the healthcare ecosystem.

“Healthcare teams have long been under immense strain from the sheer volume and complexity of their work. The need for change has never been more urgent,” said Joy Liu, Founder and CEO at Plenful. “Plenful was built by healthcare operators for healthcare operators, and as such, we deeply understand the mission-critical work these teams do every day. By partnering closely with our customers and automating workflows, we’re offering a better way for healthcare staff to work. One that improves compliance, drives revenue, saves time, and supports their teams and the patients they care for.”

Solving Healthcare’s $1 Trillion Admin Problem

The U.S. healthcare system spends nearly $1 trillion each year on administrative tasks — a burden that contributes to labor shortages, employee burnout, and a growing crisis in access to quality care. A Google Cloud/Harris Poll survey found that 81% of medical staff and 77% of claims staff say that administrative work contributes to burnout, with two-thirds of providers expressing serious concern over human error in these processes. Yet most healthcare organizations still rely on outdated systems, complicating workflows with siloed, messy data across multiple formats and touchpoints. Critical institutional knowledge often lives only in the heads of a few overburdened employees, creating additional risk and fragility in day-to-day operations.

Plenful’s platform automates these workflows using AI purpose-built for healthcare. It handles messy, disparate workflows across formats, systems, and departments, reducing errors and streamlining operations while providing real-time reporting and task management for healthcare staff. Leading healthcare organizations like Medical University of South Carolina (MUSC), Cencora, Renown Health, Shields Healthcare Group, and Samaritan Health use Plenful to decrease time and costs, drive compliance, and unlock new revenue.

Expanding Across Use Cases and Markets

Plenful’s most widely adopted use cases include prior authorization, 340B compliance and missed opportunity auditing, and order and referral data entry. With this new funding, the company will expand its platform to address more unmet needs across healthcare, deepening its presence in the pharmacy, health systems, provider groups, and payor markets where it’s already seeing strong traction.

“Plenful is tackling some of healthcare’s toughest challenges with an AI platform that’s already driving meaningful, measurable results for their customers,” said Board Member and Danaher Corporation Co-Founder, Mitchell Rales. “And what truly gets me excited is the team. Joy is a visionary leader with remarkable learning agility and deep healthcare expertise, supported by a team whose execution and creativity are exceptional.”

“The healthcare market is ripe for transformation, and Plenful is positioned to lead that shift,” said Chelcie Taylor, Investor at Notable. “Their ability to deliver immediate ROI and drive efficiency at scale gives them a significant edge as healthcare organizations increasingly turn to AI to solve entrenched administrative challenges.”

Trusted by Industry Leaders, Proven at Scale

Plenful has experienced over 4x year-over-year growth and is now trusted by more than 60 leading U.S. healthcare organizations, underscoring strong market demand for proven, AI-driven automation in healthcare.

“What could take a large team many hours only takes seconds with Plenful, and the reporting they provide is more accurate than our previous solution,” said Savannah Randolph, Pharmacy Services Analyst at Samaritan Health Services. “We’ve reduced our time spent by 96%; it’s incredible. Plenful has enabled us to redeploy staff to higher-value tasks and operate more efficiently overall. And with their scalable platform, we’re excited to expand into other use cases to continue unlocking value.”

“Plenful’s team has been a true pleasure to work with,” shares Adam Porath, Vice President of Pharmacy at Renown Health. “They come from pharmacy operations themselves; they just get it. We’re expanding our use of the platform this year and looking forward to realizing even more operational efficiencies.”

“We couldn’t be more excited about what’s ahead,” Liu shares. “This funding allows us to invest deeply in our team as we scale, especially across machine learning, engineering, product, partnerships, and customer success. We’re building for the long term, and that starts with growing a world-class team to support our customers and deliver on our vision.”

About Plenful

Plenful is the leading AI workflow automation platform transforming how healthcare teams work. Built to empower healthcare operators and the patients they serve, Plenful enables healthcare organizations to scale operations with speed, precision, and intelligence. By combining deep human expertise with purpose-built AI, Plenful automates complex workflows to eliminate inefficiencies, enhance compliance, and unlock critical revenue. Trusted by top pharmacies, health systems, providers, and payors, Plenful powers smarter, faster, and more affordable healthcare operations. To learn more, visit plenful.com.

Originally announced April 30th, 2025



< + > Persivia Powers the Next Era of Digital Health with Strategic $107 Million Investment and AI Innovation Patent

Persivia, the company behind one of the healthcare industry’s most advanced digital health platforms, today announced two major developments—a $107M investment from Aldrich Capital Partners and the issuance of U.S. Patent No. 12,254,975 B2 for its Health Data Processing System. This dual milestone signals a new era for healthcare, as Persivia prepares to scale its proven AI-first platform and transform how care is delivered, measured, and managed across the continuum.

The newly granted patent protects the core AI capabilities behind CareSpace, Persivia’s modular digital health platform. Unlike typical platforms that merely surface data, CareSpace uses Soliton, a now-patented AI engine to ingest, analyze, prioritize, and deliver actionable insights in real time. This allows care teams to respond to the most urgent needs, manage complex patient populations, and streamline workflows—all from a unified interface.

Aldrich’s investment—completed at the end of February—provides the financial firepower to expand quickly and invest deeply in platform innovation, client success, and go-to-market execution.

It also puts Persivia in a position few companies can claim: deeply funded, clinically validated, and now legally protected as the innovator of a patented AI-driven platform.

“This isn’t just a win for Persivia, it is a great day for US healthcare as a whole,” said Dr. Mansoor Khan, CEO at Persivia. “With the industry-leading platform, new capital, and a newly issued patent, we’re ready to deliver on a vision that’s been 20 years in the making—solving healthcare’s toughest challenges with an AI core that is now patented, proven, and deployed at scale.”

At the heart of this transformation is CareSpace, a digital health platform designed to help organizations thrive while transitioning from fee-for-service to value-based care. It supports a wide range of use cases – from data, care, quality, and population health management to analytics, virtual care, risk adjustment, and many more. Built on a modular architecture with the Soliton AI engine at its core, CareSpace gives healthcare organizations the flexibility to deploy exactly what they need, when they need it, without the overhead of point solution sprawl.

“Most healthcare AI solutions today are point solutions that bolt on to existing platforms,” said Dr. Fauzia Khan, CMO at Persivia. “The CareSpace platform is built around the Soliton AI engine, which resides at the heart of the system. This vision of AI at the heart of all data flows, analytics, and workflows forms the basis for our patent, which was applied for in early 2020, long before AI was the buzzword it is now.”

As the healthcare industry faces mounting pressure to do more with less, Persivia is delivering a platform that combines speed, intelligence, and interoperability, driving better outcomes, lowering costs, and reducing burnout. With the issuance of this patent, the company is sending a clear message: the era of intelligent, AI-driven care has arrived, and Persivia is leading it.

To learn more about Persivia and the patented AI system powering CareSpace, visit persivia.com.

About Persivia

Persivia delivers an AI-powered platform that helps healthcare organizations work smarter. By unifying clinical, claims, social, and operational data into one intelligent system, Persivia turns complex data into real-time insights that drive decisions, streamline workflows, and improve performance across the board.

Whether it’s powering value-based care, optimizing risk, improving quality, or managing cost and utilization. Learn more at persivia.com. The platform gives payers and providers the tools to move faster, act earlier, and operate more efficiently.

Headquartered in Marlborough, MA, Persivia supports 200+ hospitals and 12,000+ clinicians nationwide.

Originally announced May 7th, 2025



< + > Weekly Roundup – August 2, 2025

Welcome to our Healthcare IT Today Weekly Roundup . Each week, we’ll be providing a look back at the articles we posted and why they’re impo...