Friday, April 3, 2026

< + > Health IT April Fool’s Day Jokes – Fun Friday

I know that April Fool’s Day was a few days ago, but we thought we’d save the health IT related April Fool’s Day jokes that were shared for our Fun Friday edition.  It felt a little light this year on jokes, but there were some pretty good ones in case you missed them.

If it’s April Fool’s then you have to highlight Epic who always goes all out.  They literally replace their homepage with great April Fool’s day announcements.  This year they had these three.

Epic MomChart – I kind of want this feature actually.

Epic Penny is Now Nickel – I’m really curious to see how the LLMs deal with this joke.  Will it know that it was an April Fool’s Day joke?

Chart with Art – I’d never really thought about how introverts would feel about AI medical scribes.  Something to think about.  And funny!

It’s great to see Christina Farr get in on the April Fool’s day action with this announcement.  Of course, my reply to her is that she described a lot of health IT companies out there.

Michael Stamatinos gave a nice April Fool’s Day style shout out to all the corporate workers out there.  If you’ve been there, you know.

Thanks for the fun on April Fool’s Day and hopefully you enjoyed some good humor as you head into the weekend.  Thanks for reading and being part of our great health IT community.



< + > Fiber as the Foundation for AI, Telemedicine, and Big Data in Healthcare

The following is a guest article by Tony Thakur, Chief Technology Officer at Great Plains Communications

A radiologist waiting on an AI-assisted scan. A physician conducting a virtual follow-up with a remote patient. A healthcare system securely moving massive volumes of patient data between facilities and the Cloud.

In each of these moments, outcomes don’t just depend on technology; they depend on the network driving that technology. 

Healthcare is undergoing one of the most consequential digital transformations in its history. Artificial intelligence is accelerating diagnostics and clinical decision-making. Telemedicine is expanding access to care beyond traditional walls. Big data is reshaping everything from patient outcomes to operational efficiency. Behind every application is an often-overlooked reality: innovation only performs as well as the connectivity supporting it.

Tony Thakur, Chief Technology Officer at Great Plains Communications, has spent decades designing, engineering, and operating high-capacity fiber networks that support mission-critical industries, including healthcare. From connecting hospitals and clinics to regional data centers, to delivering low-latency, redundant routes that support real-time applications, he’s seen firsthand how network performance directly impacts care delivery, security, and trust. Tony says, “In healthcare, innovation doesn’t necessarily fail because of technology. It fails when the network and automation aren’t able to keep up.”

Fiber infrastructure has quietly become the backbone of modern healthcare, not as a faster internet option, but as foundational infrastructure that enables advanced care to operate reliably, securely, and at scale.

This article explores why a high-capacity, reliable fiber network is no longer a nice-to-have for healthcare organizations, but a strategic requirement for delivering advanced patient care today and for what comes in the future.

AI in Healthcare Demands Speed, Symmetry, and Stability

AI applications in healthcare rely on the ability to move large volumes of data quickly and securely. Imaging files, real-time monitoring data, and machine-learning models require networks that can handle heavy upstream and downstream traffic without delay or degradation. Tony explains, “AI in healthcare only works when data can move without delay. If your network introduces latency or bottlenecks, it limits how effective point-of-care tools will be.”

In practice, this becomes clear when healthcare organizations connect imaging systems, analytics platforms, and AI workloads to regional or Cloud-based data centers. Large diagnostic files must move upstream just as efficiently as they move downstream, and insights must return in near real time to support clinical decision-making. Fiber’s symmetrical speeds and ultra-low latency eliminate bottlenecks that can slow diagnoses or limit the effectiveness of AI-assisted tools.

Telemedicine Only Works When the Network Does

Telemedicine has evolved far beyond basic video visits. Today’s virtual care includes high-definition video, remote diagnostics, real-time device monitoring, and seamless access to electronic health records, often happening simultaneously.

Reliable telemedicine depends on consistency, not just bandwidth. Fiber-based networks deliver predictable performance during peak usage, eliminating buffering, lag, and dropped connections that can compromise clinical accuracy and patient trust. “Telemedicine depends on trust, and trust disappears the moment a connection freezes, drops, or lags during a clinical interaction,” stated Thakur.

In more remote areas and for patients located far from their trusted specialist, surgeon, or provider, fiber-powered connectivity plays an even larger role. It enables equitable access to specialists, ongoing treatment, and post-care monitoring, bringing high-quality healthcare into patients’ homes regardless of geography. In these settings, network reliability directly influences access, outcomes, and continuity of care.

Big Data Requires Big Infrastructure

Healthcare organizations generate and consume massive volumes of data every day, from patient records and imaging to compliance reporting and research analytics. As systems move toward centralized platforms and Cloud-based applications, the ability to transport data securely and efficiently becomes essential.

Fiber networks provide the scalability and redundancy required to support these data-intensive environments. They allow healthcare systems to move information securely between facilities, connect to regional or national data centers, and expand capacity as demands grow without the need to re-engineer the network every few years.

Reliability and Security Aren’t Optional

In healthcare, downtime isn’t just inconvenient; it can be life-threatening. Fiber offers higher reliability than legacy copper or wireless alternatives, with fewer points of failure and greater resilience during peak demand or adverse conditions.

Equally important, fiber supports advanced security architectures that help protect sensitive patient data and meet strict regulatory requirements. Purpose-built fiber networks enable segmentation, redundancy, and secure routing strategies that form the foundation of a comprehensive cybersecurity approach. Thakur explains it this way. “Fiber isn’t about speed for speed’s sake. It’s about building a foundation that healthcare systems can rely on as data, applications, and patient expectations continue to grow.”

As threats increase and compliance requirements evolve, network design becomes a critical component of operational risk management.

The Future of Healthcare is Built on Fiber

AI, telemedicine, and big data are no longer emerging trends; they are core components of modern healthcare delivery. As these technologies continue to evolve, the networks that support them must be ready to scale, adapt, and perform without compromise.

Fiber is more than faster connectivity. It is the infrastructure that enables smarter diagnostics, broader access to care and data-driven decision-making, laying the groundwork for a more resilient, equitable and connected healthcare system.

As healthcare organizations continue planning for the future, the question is no longer whether fiber is necessary, but how quickly can they build the foundation required to support the next generation of care.

About Tony Thakur

Tony Thakur is the Chief Technology Officer of GPC, where he guides the company’s technology vision and works to enhance its robust fiber network. He also implements new product technologies, identifies national geographic network expansion opportunities, and introduces automation efficiencies.

Thakur has held C-level and senior executive positions during his two decades in the telecommunications sector. In this time, he has launched numerous programs and services related to technology infrastructure development, networking, and cloud connectivity.

Thakur graduated with a Master of Science in Engineering Management from the Florida Institute of Technology and has a Bachelor of Science in Electrical Engineering from the University of Texas in Arlington.



< + > Chartis Acquires Leap AI | Viventium Expands HCM Platform with Acquisition of Perks4Care

Check out today’s featured companies who have recently completed an M&A deal, and be sure to check out the full list of past healthcare IT M&A.


Chartis Acquires Leap AI, Accelerates Healthcare Innovation Through AI and Technology Transformation

Chartis, a leading healthcare advisory firm, today announced it has acquired Leap AI, pioneers in AI-driven healthcare solutions. Leap AI builds AI-enabled products and solutions as a key enabler of healthcare innovation—from workflow automation to superior user experience to groundbreaking R&D.

“As AI becomes industrialized across healthcare, organizations risk losing the ability to innovate against their unique friction points. Off-the-shelf platforms can’t match solutions built around an organization’s specific challenges, data, and operations,” said Chartis Chief AI & Digital Officer Tom Kiesau. “Leap AI brings deep healthcare expertise in AI development and product design, along with experience launching complex, first-of-their-kind solutions. Together with our clients, we’ll design and deploy AI solutions to improve how healthcare is delivered.”

Leap AI senior leaders will join the Chartis Center for AI & Digital Transformation, led by Kiesau, under the brand Chartis Leap AI Studio. The core team will maintain and implement a strong pipeline of future-forward, technology- and AI-based ideas and solutions for the healthcare industry.

“We’re excited to join Chartis and expand the impact of our new colleagues,” said Ali Paasimaa, Senior Partner, Head of Chartis Leap AI…

Full release here, originally announced March 19th, 2026.


Viventium Expands HCM Platform with Acquisition of Perks4Care to Strengthen Caregiver Retention Solutions for Post-Acute Care Providers

Viventium today announced the strategic acquisition of Perks4Care, a rewards and recognition platform built specifically for the post-acute care workforce. The acquisition expands Viventium’s ability to help care providers recruit, engage, and retain caregivers through targeted recognition and incentive programs.

Perks4Care enables care organizations to award caregivers points that can be redeemed for gift cards, while allowing providers to customize rewards programs around their operational goals and workforce priorities.

The acquisition comes at a time when caregiver shortages remain one of the post-acute care industry’s most pressing challenges. Perks4Care was developed by industry veterans Joe Kraus and Linda Donev, founders of Soneto, an operations management system used by hundreds of providers, including several of the nation’s largest franchise systems and corporate operators.

Drawing on more than 30 years of post-acute care experience operating care organizations and building technology for the sector, Kraus and Donev created Perks4Care to address persistent caregiver retention challenges and improve the caregiver experience. Their approach recognizes the critical role caregivers play in supporting individuals, families, and communities.

“Improving the caregiver experience is central to Viventium’s mission,” said Navin Gupta, CEO at Viventium. “Perks4Care gives providers a simple but powerful way to recognize caregivers in real time. By bringing Perks4Care into the Viventium ecosystem, we are helping post-acute care organizations build cultures where caregivers feel appreciated and valued.”

“One of Perks4Care’s distinguishing features is that it is truly caregiver-centric,” said Joe Kraus, Co-Founder of Perks4Care…

Full release here, originally announced March 19th, 2026.



Thursday, April 2, 2026

< + > Caregility Connects the Patient with Virtual Nursing

Around the world, according to Mike Brandofino, President and Chief Operating Officer of Caregility, declines in clinical staff are leading to declines in the quality of care and the patient experience. At the recent HIMSS conference, we stopped by their example hospital room where he demonstrates the elements of connected healthcare that Caregility have created to facilitate virtual nursing.

The Hospital Room of the Future shown in the demo consists of two types of technologies: sensors to report important events to a virtual staff, and communications tools to let that staff collaborate with the patient.

Among the sensors are wide-angle and zoom cameras with night vision, microphones that can pick up quiet sounds from anywhere in the room and can flag signals such as stress in the patient’s voice, a virtual stethoscope, a sensor that detects the patient’s breathing rate, motion detectors that note when a patient stands or leaves the room, and even an incontinence sensor.  The smart, connected hospital room has more than arrived.

Using a panel, a patient or nurse can turn a TV set into a two-way communication device, then bring in clinicians and family members for a discussion. A dashboard allows scheduling and tasks assignment. Virtual nurses can monitor 64 patients at one time on one device.

Watch the video for details and to learn about the benefits of the connected hospital room.

Learn more about Caregility: https://caregility.com/

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Caregility is a proud sponsor of Healthcare Scene.



< + > Ramsoft OmegaAI and Blume Review: A Hands-On PACS and Portal Walkthrough

At Healthcare IT Today, we are continually evolving to bring you closer to the technology that is driving our industry forward. That means getting hands-on with the software to share honest impressions based on first-hand observation. It’s all about giving you the same behind-the-scenes look we get.

Our goal? To help you make more informed decisions by showing you exactly what a platform looks like in action, beyond the standard marketing pitch.

In this walkthrough, we are taking a close look at two solutions from Ramsoft: OmegaAI, their cloud-based RIS/PACS platform, and Blume, their patient portal. We tip our hat to the Ramsoft team. They kindly handed over the keys to their demo environment and gave us unfiltered access to their executives so we could ask the hard questions.

I am not a radiologist, so I won’t be speaking to the clinical efficacy or making a formal recommendation. Instead, I am diving deep into the usability, the workflow, and the overall experience.

What This Walkthrough Revealed

  • Zero-Footprint Speed: See how large imaging files load almost instantaneously in a standard browser without any heavy application installs.
  • Dynamic Worklists: Watch how AI and appointment logic can automatically organize and prioritize a radiologist’s queue, replacing the old first-in, first-out bottlenecks.
  • Patient-Friendly Portals: Discover how the Blume portal uses AI to instantly translate complex medical jargon into plain English directly on the patient’s screen.

Radiology Has Changed

Why did we want to review these two specific solutions? Because the reality of radiology has fundamentally changed. Radiologists aren’t just reading from a dark room in the basement of a hospital anymore; they are reading from home, which means you can’t always expect them to have a super high-power PC.

A true zero-footprint, browser-based system is now necessary to provide nearly instant access to images wherever you are. Furthermore, with the constant demand to do more with less, software must actively streamline administration. By leveraging AI to autonomously handle scheduling, eligibility checks, and workflow orchestration, platforms like this eliminate manual steps and reduce friction across the board.

The Bottom Line

I was particularly impressed by how customizable OmegaAI is—from the dynamic worklists to the hanging protocols that remember your exact multi-monitor layout preferences. It just gets out of its own way. And while I was initially skeptical about a standalone radiology patient portal, Blume won me over by sticking to the basics: easy scheduling, simple file uploads, and accessible reports.

Fast loads – check. Intuitive design – check. Patient-centric AI – check. Overall, Ramsoft has built a platform that feels modern, accessible, and remarkably easy to navigate.

What Health IT Leaders Are Asking

Is Ramsoft OmegaAI a true zero-footprint RIS/PACS?
Yes. Unlike legacy systems that require heavy client-side applications, OmegaAI runs entirely in a standard web browser like Chrome. There is zero installation required, which eliminates the headache of IT approvals and platform incompatibilities. It delivers massive imaging files almost instantaneously, making it highly effective for radiologists reading from home or configuring complex hanging protocols across multiple monitors without needing a high-powered workstation.

How does Ramsoft Blume differ from a standard EHR portal?
Blume is purpose-built for the radiology journey. While comprehensive EHR portals often bog patients down with overwhelming, generalized medical records, Blume focuses strictly on what a radiology patient needs: scheduling imaging appointments, uploading prior files, and viewing results. Most impressively, it embeds AI to instantly translate complex medical jargon in radiology reports into plain English. This targeted approach reduces friction for the patient and prevents unnecessary follow-up calls to the clinic for clarification.

Learn more about Ramsoft at https://www.ramsoft.com/

Ramsoft is a sponsor of Healthcare Scene.



< + > How Agentic AI is Reshaping the Future of Revenue Cycle Management – and the Work Behind It

The following is a guest article by Karly Rowe, President at Inovalon’s Provider Business

The way providers work has reached a tipping point. Mounting administrative burden, less time with patients, and tightening margins are pushing physicians – and in some cases entire organizations – out of practice.

The data underscores the urgency:

  • Physicians spend an average of 15.5 hours per week on paperwork and administrative tasks
  • Nearly 35% of physicians intend to leave their current role within five years
  • Roughly 60% of physicians are likely to leave the profession entirely

Financial pressures compound the workforce strain. Nearly four in ten hospitals are operating at a loss, and among those with positive margins, one in ten reports margins below 10%. Clinicians, revenue cycle teams, and healthcare leaders need technology that helps them work faster without sacrificing accuracy, trust, or confidence that critical tasks are being completed correctly.

The reality is driving increased interest in agentic AI. From automating time-consuming steps like prior authorization and eligibility verification to preventing denials and accelerating appeals, agentic AI is reshaping how healthcare organizations manage complex workflows. When deployed thoughtfully, AI acts as a co-pilot, handling repetitive tasks, supporting decision-making, and allowing human expertise to remain firmly in control. The result is not only greater efficiency, but more engaged teams and more resilient operations.

Opportunities for Agentic AI in Healthcare

Agentic AI refers to systems with advanced reasoning capabilities that can independently complete defined tasks and infer next steps – such as identifying missing patient information during check-in or anticipating documentation requirements before submission. These agents accelerate manual processes while maintaining quality, accuracy, and trust across clinical and operational teams.

Within the revenue cycle, two areas stand out as especially ripe for transformation: prior authorization and claims management.

Prior Authorization

Prior authorization is required for many procedures, medications, tests, and care transitions. It remains one of the most burdensome administrative processes in healthcare. According to physicians, 93% report that prior authorization delays care, and nearly one-third say those delays have led to serious adverse events for those patients.

Requests are often delayed due to missing information, repeated submissions, and appeals, creating weeks of uncertainty for patients awaiting care. Throughout this process, physicians are expected to manage appeals while balancing full patient panels and other administrative responsibilities. Payers, meanwhile, must repeatedly review the same requests as they are resubmitted with incremental updates.

Recent CMS updates require decisions within 72 hours for urgent requests and 7 days for standard requests. While these timelines represent progress, they largely ask already-strained organizations to move a broken process faster.

Agentic AI offers a meaningful shift. Instead of clinicians starting from a blank form, AI agents can generate a complete prior authorization request by anticipating payer requirements and populating the necessary documentation upfront. Physicians then review and validate the submission rather than building it line by line. If a request is denied, the agent can interpret the rejection and draft appeal documentation for clinical review, significantly reducing turnaround time while preserving physician oversight.

Claims Management

Reducing claims denials remains a top priority for healthcare leaders, and agentic AI plays a powerful role in prevention and remediation. Many denials originate at the front-end of the revenue cycle, where incomplete or inaccurate patient data slips through registration and intake. These small errors compound downstream, resulting in backlogs, rework, and delayed reimbursement.

When agentic AI is embedded across both front- and back-end workflows, providers can increase accuracy at every step. Front-end teams can use AI agents to validate demographics, benefits, and secondary or tertiary coverage before services are rendered. On the back-end, AI agents can review claims prior to submission to verify payer-specific requirements, flag denial risk, and explain why a claim may be vulnerable.

Because claims accuracy depends on clinical documentation, agentic AI can also support clinicians by ensuring diagnoses and procedures are fully and appropriately documented. This creates a more complete clinical record, supports accurate ICD-10 coding, and ultimately contributes to better patient care and financial outcomes. Unlike static rules engines, AI agents continuously learn from outcomes, exceptions, and payer behavior, improving performance over time.

Trust and Oversight Will Determine AI’s Impact

As providers explore agentic AI across the revenue cycle and beyond, speed and automation must be balanced with strong governance. The most successful implementations prioritize transparency, explainability, and human validation at every step.

AI agents should never operate as black boxes. It is the shared responsibility of healthcare leaders across finance, operations, clinical teams, and IT to ensure AI is deployed thoughtfully, monitored closely, and designed to support, not replace, human judgment.

The true value of agentic AI lies in empowerment. By offloading repetitive, manual tasks to purpose-built agents, healthcare professionals can focus on higher-value work — supporting patients, improving care coordination, and strengthening the financial health of their organizations. Providers that succeed will not be those that adopt the most AI, but those that operationalize it responsibly, at scale, with humans firmly at the center.

About Karly Rowe

Karly Rowe is President of Inovalon’s Provider business, where she leads the organization delivering software solutions to tens of thousands of healthcare providers nationwide. She has full financial and operating responsibility for the Provider business, overseeing customer operations, partnerships, and commercial strategy while working cross-functionally across product, engineering, sales, marketing, finance, and HR to drive scale and performance. Prior to Inovalon, Karly held senior product and strategy leadership roles at Experian Health, where she brought data-driven products to market and built strategic partnerships across EHRs, healthcare technology vendors, and pharmacy standards organizations. She holds a Master of Business Administration from Arizona State University and a Bachelor of Arts in Marketing and Retail Management from Syracuse University.



< + > Health Universe Raises $6M | Verily Secures $300 Million Investment

Check out today’s featured companies who have recently raised a round of funding, and be sure to check out the full list of past healthcare IT fundings.


Health Universe Raises $6M to Integrate AI Agents into Healthcare Organizations

Secure, HIPAA-Compliant Platform Reduces Months of Manual Work to Days for Leading Research Institutions and Health Systems

Health Universe, the enterprise AI platform that automates complex healthcare workflows, today announced $6 million in seed funding led by Kleiner Perkins, bringing its total funding to $9.5 million to date. The round follows a 2023 pre-seed backed by Susa VenturesTwelve Below, and Oncology Ventures. The new capital will accelerate adoption across leading academic medical centers (AMCs), health systems, and life sciences organizations as Health Universe establishes itself as the definitive AI infrastructure layer for healthcare, oncology, and clinical research.

Healthcare organizations are under mounting pressure as clinician burnout rises, staff are overwhelmed by administrative burdens, and clinical trial timelines routinely stretch nearly eight months before a single patient is enrolled. While AI tools have demonstrated promise across healthcare, most systems remain black boxes, making them difficult to audit and to safely deploy in high-stakes clinical environments. Health Universe addresses this gap by providing a secure, compliant workspace to deploy inspectable, auditable agents designed for regulated healthcare settings. In less than a year since launching Navigator, the platform has processed over 170M clinical documents.

Health Universe serves as an AI workflow engine for healthcare organizations, enabling them to build, deploy, and govern autonomous and human-in-the-loop agents within a secure, ONC-certified, HIPAA-compliant environment. Its platform includes:

  • Navigator: A secure organizational workspace for deploying, managing, and monitoring agents that run over a patient record; users can retrieve patient records from TEFCA, FHIR, or direct upload and run off-the-shelf agents, custom agents, or vendor contributed agents
  • Explorer: A population-level workspace to build cohorts and execute agents
  • Observer: Monitors agents for cost, hallucination, and high-risk scenario flagging
  • Oncology Agents: Transforms fragmented medical records into structured, source-linked oncology summaries, including diagnosis, staging, biomarkers, treatment history, and disease progression, reducing hours of chart review to minutes; deployed at several leading oncology practices and New York Cancer and Blood Specialists
  • Clinical Trials Agents: A multi-agent system that converts brief study synopses into comprehensive 75-page clinical trial protocols, with automated ClinicalTrials.gov submissions and Institutional Review Board workflow integration. Built in conjunction with Duke Clinical Research Institute

“Healthcare doesn’t need another chatbot,” said Dan Caron, Founder and CEO at Health Universe…

Full release here, originally announced March 19th, 2026.


Verily Secures $300 Million Investment to Advance its Precision Health AI Strategy

Funding Round Led by Series X Capital, with Additional Backing from Alphabet, UCHealth, and the University of Colorado Anschutz

Verily today announced a $300 million investment round led by Series X Capital, with participation from Alphabet, UCHealth, the University of Colorado Anschutz, and other investors, to advance the next phase of its precision health AI strategy. With this funding round, Alphabet will be a significant minority investor in Verily, while no longer having a controlling stake.

“Today is an important step in our mission to bring the promise of precision health to everyone,” said Stephen Gillett, Chairman and CEO at Verily. “From research to care, our customers need solutions that bring the best of clinical and scientific rigor together with AI to deliver the next generation of healthcare – one that is as precise as it is personal. Series X Capital, Alphabet, UCHealth, the University of Colorado Anschutz, and our many investors will be fantastic partners in this transformation of healthcare.”

With this investment, Verily has transitioned its legal structure from an LLC to a corporation, with the official new name of Verily Health Inc, and plans to accelerate its AI-native precision health platform strategy and roadmap to help customers harmonize their healthcare data, model, and deploy actionable intelligence into research and care workflows.

Verily has recently announced a number of commercial partnerships, including a new collaboration with Samsung’s Galaxy Watch to help life sciences customers accelerate clinical research through biomarker development on the Pre platform, and a strategic partnership with Salesforce, announcing integration of the Verily Pre Platform with Agentforce Health to power enterprise precision health solutions. These announcements build on Verily’s recent strategic collaboration with UCHealth, the University of Colorado Anschutz, and RefinedScience, who are using the Verily Pre platform for AI-powered research and care transformation.

“Series X Capital was established in collaboration with Google’s X, The Moonshot Factory to scale moonshot technologies into consequential, world-changing companies. We are extremely excited to lead this milestone round for Verily, as they drive commercial momentum as a leader in precision health,” said Gideon Yu, Founder and Managing Partner at Series X Capital.

Verily initially graduated from Google X ten years ago, as one of Alphabet’s earliest “Other Bets”, with a focus on breakthrough science and health tech innovation…

Full release here, originally announced March 19th, 2026.



< + > Health IT April Fool’s Day Jokes – Fun Friday

I know that April Fool’s Day was a few days ago, but we thought we’d save the health IT related April Fool’s Day jokes that were shared for ...