< + > Inside Oracle’s Playbook: What the Health and Life Sciences Summit Means for Healthcare Leaders

At the Oracle Health and Life Sciences Summit in Orlando, Oracle made several notable announcements regarding its provider, payer, and life sciences platforms – all centered on tighter integration with the rest of the Oracle ecosystem, especially when it comes to AI.

The clear message from keynotes by Seema Verma, EVP & GM Oracle Health & Life Sciences; Larry Ellison, Chief Technology Officer;  and Mike Sicilia, CEO: Oracle is moving beyond the traditional EHR boundary. The tech giant is applying its enterprise expertise in finance, supply chain, cybersecurity, and cloud infrastructure to deliver much needed administrative relief to healthcare.

Key Takeaways from the Oracle Health & Life Sciences Summit

• Enterprise scale meets clinical care: Oracle is using its deep footprint in enterprise resource planning (ERP), human resources, finance, and supply chain to solve healthcare problems that legacy EHR architectures struggle to accomodate.
• Modular and agnostic integration: Oracle is delivering on its promise to play nice in the healthcare sandbox, designing AI agents, patient portals, and data exchange tools that work across non-Oracle platforms like Epic.
• Native AI over bolt-on tools: Rather than pasting chatbots on top of older code, Oracle has rebuilt its clinical and operational workflows with embedded, context-aware AI agents. They are not resting on the laurels of their Clinical AI Agent (AI Scribe) which has been well received and implemented by its customers. A notable change from prior Summits – customers were actively speaking about the difference these AI agents from Oracle have made in the lives of their clinicians and the care they deliver to patients.
• Upstream revenue cycle intervention: New RCM capabilities tackle prior authorizations, coding, and denials before bill drop, tying hospital reimbursement directly to corporate treasury and general ledger systems.

Borrowing Enterprise Prowess for Healthcare

Healthcare likes to believe it is unique. While that may technically be true, healthcare can learn a lot from other industries that have much more advanced processes in areas like HR, supply chain management, financial analysis, and resource planning.

As Seema Verma noted on stage, Oracle is taking the capabilities it perfected in defense, finance, and advanced manufacturing to deliver a more secure, compliant cloud foundation in healthcare. In manufacturing and logistics, for example, Oracle already has agentic AI agents that can detect when supplies are running low, automatically trigger new orders, POs and budget adjustments so that the needed items arrive well before shortages happen. It is not hard to imagine this same approach working well for healthcare consumables and medications.

Playing Nice with Others

Oracle is delivering on its promise to integrate smoothly with competitors. Rather than locking health systems into a proprietary walled garden, Oracle is introducing tools designed to run across multiple EHR environments.

The redesigned Oracle patient portal is completely EHR-agnostic. Patients can query their longitudinal record using natural language, pulling test results and summaries whether their health system runs on Oracle Health, Epic, or another EHR.

An interesting one-line comment from Verma highlighted this play-nice-with-others approach. She mentioned that Oracle is working on a project with Children’s Hospital of Philadelphia (CHOP), a prominent Epic customer, to exchange data via the Oracle Health Information Network.

As Ellison noted in his keynote at the Summit, health systems that love a specific Oracle capability should be able to adopt it without undertaking a full system replacement.

Shifting AI Upstream in the Revenue Cycle

Oracle announced an expansion of native AI across its Revenue Cycle Management (RCM) portfolio, targeting reimbursement friction before it starts. Most hospital billing teams burn endless hours reworking denied claims, tracking missing pre-authorizations, and chasing delayed payments. Oracle is pushing automated intelligence into scheduling, patient intake, and documentation.

The new RCM capabilities deliver concrete advantages across three key groups:

• For Providers: Clinical document integrity and autonomous coding agents flag charting gaps and generate contextual CPT recommendations before bill drop, protecting earned revenue and reducing administrative burdens on clinicians.
• For Payers: Autonomous prior authorization tools evaluate coverage rules in real time, package required clinical evidence, and streamline interactions, creating clear, audit-ready submissions.
• For Patients: By verifying coverage and out-of-pocket estimates before the encounter begins, patients avoid unexpected bills and confusing administrative hurdles after receiving care.

Crucially, Oracle plans to link clinical RCM directly into Oracle Fusion Cloud Applications. This synchronizes acute care charge generation with general ledger accounting, cash treasury management, and executive analytics.

Purpose-Built Precision: The New Oncology EHR

Cancer care represents one of the most fragmented and cognitively exhausting specialties in medicine. In response, Oracle unveiled the Oracle Health Oncology EHR, an ambulatory platform purpose-built around cancer treatment journeys.

The platform pulls together genomic profiles, pathology reports, imaging scans, and social determinants of health into a single unified timeline. Embedded AI assistants streamline tumor board preparation, calculate complex cumulative chemotherapy dosing limits, and guide multi-disciplinary teams through evidence-based regimens.

Rather than requiring oncologists to assemble fractured records from multiple databases, the system contextualizes changes since the last visit and coordinates next steps across navigators and infusion teams.

Other Notable Announcements from the Summit

• Oracle Life Sciences Data Intelligence: This connected analytics platform blends domain-trained AI with real-world health data covering more than 122 million de-identified longitudinal patient records, allowing researchers to explore clinical cohorts using natural language.
• Buck Institute and ARPA-H Longevity Collaboration: The Buck Institute is using Oracle Life Sciences Data Intelligence to identify early biomarkers of frailty and age-related decline, supporting a federal initiative to qualify an FDA-grade Intrinsic Capacity Score.

Questions Healthcare IT Leaders are Asking

How does Oracle’s revenue cycle strategy differ from standalone RCM vendors? Most third-party point solutions focus on repairing errors downstream after claims are created. Oracle embeds AI directly into registration, scheduling, and charting to catch coding errors and missing prior authorizations before bill drop. Connecting these clinical encounters directly to Oracle Fusion ERP gives hospital CFOs real-time visibility into net cash realization.

Can healthcare organizations use Oracle’s new AI tools without replacing their core EHR? Yes. Oracle is building modular, agnostic layers. Features like the redesigned patient portal, clinical data exchange tools, and specific AI agents are built to run on top of third-party platforms like Epic, allowing health systems to adopt specific Oracle tools without executing a massive migration.

What makes the new Oracle Health Oncology EHR distinct? Standard EHRs often struggle to organize multi-disciplinary cancer treatment data. The Oncology EHR unifies genomics, pathology, and longitudinal imaging into a chronological timeline. It also incorporates AI workflows that assist with tumor board reviews, calculate lifetime chemotherapy dosing limits, and coordinate nurse navigator tasks.

How is Oracle addressing privacy concerns around clinical AI models? Oracle operates its AI within enterprise cloud guardrails, isolating clinical workflows from public consumer tools. Clinicians interact with native models in secure, compliant environments, ensuring patient health information is protected from public data scraping or unauthorized model training.

Learn more about Oracle Health and Life Sciences at https://www.oracle.com/health/

< + > Hello Patient Acquires Converse Health to Expand AI Agents Across the Full Patient Conversation, from First Call to Follow-Up

Hello Patient, the agentic AI company reinventing patient communications from the front office to the back office, today announced it has acquired Converse Health, an AI workflow automation company built for outpatient medical practices. Converse Health expands Hello Patient’s front-office capabilities with AI agents that handle the document and chart work that surrounds a patient visit. Now, high-volume outpatient providers, from primary and urgent care to ENT, dental, and specialty practices, can use Hello Patient to automate much of their administrative work, from the first phone call through the back office.

Converse Health was founded in 2023 by Louis Sallerson, Val Zinchenko, and Adam Teitelman to build custom administrative workflows for independent medical practices in dermatology, women’s health, pain medicine, and orthopedics. The company raised $1.3 million and grew to serve dozens of practices.

“Operations leaders are being forced to bolt AI onto existing systems and buy solutions one task at a time, which is unmanageable. Practices want to redesign their workflows and decision-making around AI agents,” said Alex Cohen, Founder and CEO at Hello Patient. “Our AI agents carry real conversations so every call gets answered and patients’ needs are handled from start to finish. Converse Health brings the same automation to the back office, and the busywork stops landing on staff so they can focus on care instead of administrative tasks.”

Practices lose patients at the front desk. Up to 42% of patient calls and texts go unanswered during busy hours. The back-office work that follows the call is just as costly. A referral arrives as a fax that someone opens, classifies, matches to a patient, and files before any care gets scheduled. A patient calls to schedule a follow-up, hits voicemail, calls back, and gets a busy signal. Staff spend the day playing phone tag with patients, referring offices, and payers, and the appointment never gets booked.

Most of the administrative work in a practice follows a similar workflow: answer the call, route the fax, book the follow-up the chart asked for, send the payer what it wants. Hello Patient now automates the majority of work across a practice’s operations, giving staff time back for the patient standing in front of them. Practice leaders also get a single view of how the operation actually runs and one company accountable for it.

“The agents have been a great addition to our practice,” said Jeff Craven, COO at Ortho1, an orthopedic group running this back-office technology across 100% of their incoming referrals, successfully scheduling 57% of engaged patients and processing referrals in half the time. “We were inundated with incoming referrals. The agent has shouldered a significant portion of our proactive outreach without requiring any additional support from our staff.”

Converse Health provides an AI layer that reads and writes to EHRs and delivers automation in days. The acquisition transforms these back-office capabilities into an agentic workflow using Hello Patient:

• Referral and Fax Intake: Agents open incoming faxes, identify what each one is, match it to a patient record or create one, and file the document where staff expect to find it
• Chart-Driven Follow-Up: Agents read the clinical note and incoming labs, find the patients whose follow-up window has passed without an appointment, and reach out to book them
• Authorization Paperwork: Agents pull patient and procedure details from the chart, compose the request for authorization, and route it to staff for review before it reaches the payer
• Records and Registration: Agents complete registration from a phone call, retrieve imaging, and fulfill medical records requests

“Hello Patient already sits at the front door of thousands of practices, so Converse Health becomes a natural extension,” said Sallerson, who joins Hello Patient as product leader for back-office and specialty workflows. “Together, we can deliver these back-office capabilities at real scale and cover a practice’s operations end-to-end with one AI layer. Doctors and their staff keep the exam room. We’ll convert more patients at the front desk and handle the paperwork before the visit and the follow-up after it.”

Converse Health capabilities are available as part of the Hello Patient agentic AI platform now.

About Hello Patient

Hello Patient is a healthcare AI company that runs the operations of outpatient healthcare practices, from the first patient call through the back office. Its AI agents handle every patient conversation, inbound and outbound, across voice, text, and web chat. Agents answer calls, book appointments, run new-patient intake, answer insurance questions, take refill requests, follow up after visits, do recall outreach, convert referrals, and handle billing and collections. Founded in 2024 and based in Austin, Texas, Hello Patient integrates with the EHR, practice management, and CRM systems that healthcare runs on, including ModMed, athenahealth, and eClinicalWorks. Hello Patient is HIPAA-compliant, SOC 2 Type 2 certified, and signs a BAA with every client. Learn more at hellopatient.com.

Originally announced September 15th, 2026.

< + > Role of Analytics and Patient Engagement Tools in Acquiring, Retaining, and Personalizing Experiences for Healthcare Consumers

Most people have a lot of choices now when it comes to their health journey. If they don’t like your location, your staff, etc. they can often just pick a new place to go instead. This makes it vital to acquire, retain, and personalize the experience for their healthcare consumers. To get a better understanding of how to do this, we reached out to our brilliant Healthcare IT Today Community to ask — what role do analytics and patient engagement tools play in acquiring, retaining, and personalizing experiences for healthcare consumers? Below is what they had to share.

Karin Hayes, Senior Vice President, Analytics Products and Services at OptimizeRx
Before healthcare appointments, patients are already influenced by advertising across social media, streaming TV, search, patient portals, and increasingly AI-powered assistants that answer questions about symptoms, treatment options, cost, and access, shaping expectations well before they see a provider. AI-powered health IT platforms can transform this journey by identifying the patients most likely to benefit from therapy, the providers caring for them, and the optimal channels, messaging, and timing for engagement.

AI can also improve campaign planning by recommending more effective audience strategies, channel mix, and content optimization to maximize reach, engagement, and marketing ROI. The greatest impact comes from aligning direct-to-consumer (DTC) and healthcare professional (HCP) engagement. Privacy-safe DTC campaigns educate patients ahead of visits, while EHR-integrated messaging delivers clinically relevant insights to providers at the point of care, supporting more informed conversations and treatment decisions.

By connecting AI, demand-side platforms (DSPs), EHR networks, and privacy-safe data, life sciences organizations can move beyond traditional advertising toward more intelligent engagement, ultimately improving efficiency, accelerating time to therapy, and supporting better patient outcomes.

Jason Griffin, Managing Director of Digital Health Strategy and Cyber Security Practice at Nordic
Analytics and engagement tools help organizations move from reactive communication to personalized, proactive engagement. By combining clinical, operational, and consumer data, healthcare organizations can better understand patient preferences, identify care gaps, and deliver more relevant communications. That could mean helping a patient schedule preventive care, reminding them about follow-up appointments, or providing educational content tailored to their needs.

From an acquisition and retention standpoint, these tools help organizations understand what consumers value and where friction exists in the care journey. The ability to measure engagement, access patterns, and outcomes gives leaders actionable insights that can improve both the patient experience and organizational performance. The key is having trusted, connected data. Personalization becomes much more effective when organizations can create a complete view of the patient rather than relying on information trapped in separate systems.

Michael Dalton, Founder and CEO at Ovatient
Analytics and patient engagement tools help health systems understand demand, reduce friction by guiding patients to the most appropriate care, and sustain relationships over time. From an acquisition standpoint, they can show where consumers are searching for care, where scheduling breaks down, which campaigns convert, and which populations are failing to fully engage. From a retention standpoint, the more important question is what happens after the first visit: whether patients return, establish a longitudinal care relationship, complete follow-ups, and stay connected to the system. The goal is not engagement for engagement’s sake, but shared accountability between a better-informed patient and a better-informed care team to create better health outcomes.

Beth Godsey, GM Insights at Tendo
Healthcare measures clinical outcomes, but the missing layer is understanding the process steps in between, specifically how care is actually being delivered. Analytics closes that gap only when you’re measuring the actions being taken (or not) to deliver care: not just what happened, but how it happened. The organizations genuinely moving the needle use operational and engagement data to identify dropout points, unmet needs, and moments where the care delivery process broke down before it could support a positive outcome. Understanding how someone experienced their path through the system so you can bridge the distance between clinical results and patient satisfaction before the gap widens.

Nicola Wodlinger, CEO at mBIOTA Labs
Patient engagement tools are most powerful when they do two things at once: lower the barrier to entry and raise the standard of care behind it. Nowhere is this more clear than in conditions that people are reluctant to discuss, especially digestive health, where embarrassment and uncertainty keep patients from seeking help until symptoms escalate.

Insurance-covered digital platforms have shown that low-friction, personalized entry points draw these patients in. But acquisition is only the first step. The real value emerges when engagement channels double as triage and education. Live concierge sessions give patients one-on-one time that builds trust and surfaces red flags a static intake form might miss. Educational webinars can keep patients engaged and let them arrive better prepared and feel more confident in the platform, their treatment, and the physicians guiding it.

Together, these tools do more than attract patients. They build the engagement and trust that keep people committed to their care. And when patients are engaged and supported, with credentialed clinicians ready to step in when a case calls for more, the result is improved compliance, greater satisfaction, and better patient outcomes.

Michael Meucci, President and CEO at Arcadia
Consumers increasingly expect healthcare experiences to reflect the same level of personalization they encounter in other industries. Analytics and patient engagement tools help organizations understand a patient’s clinical needs and the channels they are most likely to engage with. It’s helping organizations determine which patients need outreach, what intervention is most likely to be effective, and when action is most likely to improve outcomes.

By combining clinical, behavioral, and engagement data, healthcare organizations can move from broad outreach campaigns to individualized engagement strategies that prioritize resources where they can have the greatest impact. For example, some patients respond best to text messages, others to phone calls, apps, email, or outreach in their preferred language and at specific times of day. Analytics help organizations deliver the right message through the right channel at the right moment, improving engagement while also supporting better adherence, stronger patient relationships, and better outcomes.

Chris Schneider, Chief Marketing Officer at IQVIA Digital
Healthcare consumers don’t move through a tidy funnel; they move through a journey full of hesitation and emotion. Analytics allow marketers to finally see this path clearly enough to reach them with empathy and retain them with relevance. Analytics and engagement tools are evolving from a way to reach healthcare consumers into the foundation of a genuinely personalized health experience, one that anticipates needs rather than just responding to them. We’re moving toward a future where the right guidance finds a person at the exact moment it matters, and where every interaction — grounded in strong standards for privacy and trust — makes the next one smarter, more relevant and more human.

Greg Mortimer, VP of Marketing at Receptive
Analytics and engagement tools let healthcare companies do something the traditional model rarely could: stay present between appointments, not just during them. The best implementations use that presence to reinforce the care relationship: a timely check-in, a progress signal, a reminder that someone’s ready to listen. Beyond measuring retention, these tools can now predict when someone is about to disengage—and enable action before that happens.

Amber Gill, CEO at Receptive
Analytics tell us where patients are getting stuck, and engagement tools help us keep them moving forward. Healthcare shouldn’t end when an appointment ends. The best platforms use technology to stay connected, keep people engaged, and help them achieve better outcomes.

Kamya Elawadhi, Co-Founder and President at Doceree
Analytics and engagement tools are only as valuable as the intelligence layer underneath them. Generic platforms can track behavior, but healthcare demands something deeper: the ability to interpret clinical context, predict need, and deliver relevance at the precise moment it matters. The organizations winning in consumer healthcare are those using behavioral, clinical, and engagement signals simultaneously, not in silos. In healthcare, personalization is not about better marketing — it is about better access to care. When the right information reaches the right consumer at the right moment, acquisition improves, retention strengthens, and, most importantly, patients are more likely to initiate and stay on treatment, ultimately improving patient care.

Dr. Scott Schell, Chief Medical Officer at Cognizant
Analytics and engagement platforms help organizations understand who their consumers are, and where they experience friction across their care journey. Historically, healthcare measured encounters. Increasingly, organizations are measuring behavior: abandoned appointments, incomplete referrals, medication adherence, care plan engagement, communication preferences, and access barriers. Those insights enable more personalized experiences and more targeted interventions. The most valuable analytics then become about operational performance and not marketing responses. Understanding why patients disengage, where delays occur, and which workflows create unnecessary effort frequently produces greater value than simply increasing digital engagement metrics.

So many great insights to consider here! Huge thank you to everyone who took the time out of their day to submit a quote to us! And thank you to all of you for taking the time out of your day to read this article! We could not do this without all of your support.

What role do you think analytics and patient engagement tools play in acquiring, retaining, and personalizing experiences for healthcare consumers? Let us know over on social media, we’d love to hear from all of you!

< + > This Week’s Health IT Jobs – September 23, 2026

It can be very overwhelming scrolling through 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:

• Senior Director, Danaher Business System Leader – QARA – Cytiva
• Admitting Officer I – UI Health, Revenue Cycle – UI Health
• VP IT Applications – UVM Health – UVM Medical Center
• Patient Service Representative (PSR) – Abrazo Health
• Chief Information Officer – Stanford University School of Medicine
• Healthcare Data Analyst (Managed Care) – Novacore
• Epic Physician Liaison – Powers Health
• Director, Revenue Cycle Technology & Automation – UVM Health – UVM Medical Center
• Patient Services Representative Associate – Corewell Health
• Chief Medical Officer – San Juan Regional Medical Center
• Sr. Director, IT Service Lines – OneOncology
• Health Information Specialist I – Datavant
• Program Coordinator I- Environmental Medicine – Mount Sinai Health System
• Director, Technology Architect – Seattle Children’s
• HIPAA Compliance Auditor – McLeod Health
• Oncology Data Specialist – UPMC
• Director Clinical Informatics – HCA Healthcare
• Senior Consultant, Healthcare Performance Improvement – Revenue Cycle – Forvis Mazars US
• Medical Claim Analyst – CVS Health
• Senior Director, Network Patient Experience Informatics – Westchester Medical Center Health Network

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.

< + > PerfectServe Uses AI to Transform Healthcare Workflow Orchestration

After 30 years of orchestrating workflows and connecting systems across providers and IT vendors, PerfectServe continues to expand what it offers provider organizations, including a new AI layer called ConnectiveIQ that will underpin all of its AI-native products moving forward. The first ConnectiveIQ-infused product, Intelligent Answering, offers AI call handling and launched in August. CEO Guillaume Castel shares in our recent interview that ConnectiveIQ allows much higher benefits for the data they have been handling all this time.

Castel’s goal for PerfectServe is to “get the right information to the right person at the right time using the most appropriate channel, no matter where.” He says that, thanks to their deployment of an AI agent, PerfectServe is finding more ways to relieve busy clinicians and staff of tasks that don’t need their attention to be resolved. More and more, patients who call in to a provider can get answers through AI, with an operator or clinician picking up the phone only if a person is really needed.

Modern patient care extends outside the provider to multiple settings, even to the home, and customers want systems that can work together across all of these settings.

The 30 years’ worth of data they have accumulated allows for speedy advances in voice recognition and other AI-driven improvements to their system.

Integration with all parts of the IT infrastructure remains a priority for PerfectServe. In addition to a major investment in AI, Castel says that about one-third of their budget over his time as CEO has gone into integration, both with EHRs and with other systems, including those of competitors.

Castel identifies their customers’ priorities as retention of staff (given high rates of burnout across the industry), improving operational effectiveness, and return on investment. Customers are facing labor shortages with a negative impact on quality of care, and difficulties staying afloat financially. Rural providers have it worst.  These are all areas where PerfectServe is making an impact with their customers.

In the niche that PerfectServe occupies—which Castel says is consolidating—trust is a key trait to grow and to retain customers. Any AI they use must be able to show its reasoning, in order to maintain the trust for which the company is known.

Check out our interview with Guillaume Castel from PerfectServe to learn more about the evolution of the company and the wide variety of ways their technology can be plugged in to help healthcare organizations with important clinical workflows.

Learn more about PerfectServe: https://www.perfectserve.com/

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PerfectServe is a proud sponsor of Healthcare Scene.

< + > Medallion Acquires Andros to Expand AI-Native Credentialing Across Health Plans and Provider Organizations

The Acquisition Brings Over One Million Providers Across Nearly 400 Healthcare Organizations and Health Plans onto a Single Credentialing Platform

Medallion, the only AI-assisted credentialing and enrollment platform with expert oversight, today announced it has acquired Andros, an NCQA-certified credentials verification organization that has credentialed providers for health plans, health systems, provider groups, and telehealth companies since 2013.

The acquisition makes Medallion the largest AI-native credentialing platform in the country and advances its strategy to bring credentialing, enrollment, licensing, and provider data management onto one system for every organization that touches a provider record.

“Over the past 13 years, Andros has developed strong, trusted relationships with many of the top health plans in the country,” said Derek Lo, Founder and CEO at Medallion. “The success Andros has already achieved will only be strengthened by Medallion’s AI-native credentialing solution.”

Andros customers will gain access to Medallion over time, including automated primary source collection, AI agents that handle provider outreach and follow-up, real-time status tracking, and the credentialing specialists Medallion embeds alongside its automation.

“Our customers have pushed us for 13 years to make credentialing faster and more accurate, and we have delivered on that in a category where most people accept the status quo,” said Jake Hirschfeld, VP of Sales at Andros. “Joining Medallion enables us to deliver the next chapter of meaningful work to our customers.”

Medallion will continue to serve health plans, health systems, provider groups, digital health companies, and telehealth organizations, spanning credentialing, payer enrollment, licensing, and provider data management.

Bailey & Company served as the exclusive financial advisor to Andros for this transaction. Terms of the transaction were not disclosed.

About Medallion

Medallion is the only AI-assisted credentialing and enrollment platform with expert oversight, built to deliver speed and accuracy at scale, with contract-backed performance. Healthcare organizations are empowered to manage and grow their provider networks with unparalleled speed, accuracy, and elevated provider satisfaction levels with our AI-assisted model, freeing teams to focus on what matters most: delivering care. Through this, Medallion enables healthcare organizations to prioritize clinical excellence instead of admin overhead.

Medallion has been named to the 2026 and 2025 Inc. 5000 lists of America’s fastest-growing private companies and ranked on Inc. magazine’s 2026 list of Fastest-Growing Private Companies in the Pacific Region. The company was named one of LinkedIn’s Top Startups in both the U.S. and San Francisco for 2025, recognized on the Newsweek Excellence Index 2025, and named to Inc.’s 2026 Best Workplaces list and Glassdoor’s Best Places to Work in 2025. Medallion is paving the future of provider network management. To learn more, visit Medallion.co or join the conversation on LinkedIn.

Originally announced September 15th, 2026.

< + > CIO Podcast – Episode 122: C-Suite Executive Roles with Saad Chaudhry

For the 122nd episode of the CIO podcast hosted by Healthcare IT Today, we are joined by Saad Chaudhry, CEO at Evergreen Healthcare Partners, and former CIO, to talk about the roles of C-suite executives! We kick this episode off by discussing what went into Chaudhry’s decision to move from being an IT leader at a provider organization to now being the CEO at Evergreen. Next, we debate why we think more CIOs don’t become CEOs. Then, Chaudhry shares how what keeps him up at night has changed as he transitioned from a CDIO of a large health system to a CEO of a commercial business.

We then use this transition to our advantage. CIOs often say they’re the business leaders who happen to lead tech. Since Chaudhry has gone from the outside perspective to being the subject of that belief, we dig into whether or not he still believes that to be true. Next, we talk about what Chaudhry was hesitant to say when he was a CIO that he’s willing to share more openly now.

Then, we take a look at the recent Epic UGM to get Chaudhry’s and Evergreen’s reactions. We also discuss the challenges CIOs face and how they should be managing them. Next, we dig into where Chaudhry thinks CIOs should be investing in managed services and when it makes sense to keep things in-house. Lastly, we wrap this episode up with Chaudhry giving his advice to CIOs today.

Here’s a look at the questions and topics (inspired by the suggestions of Sarah Hatchett, CIO at Cleveland Clinic, and Shakeeb Akhter, CDO at Memorial Sloan Kettering) we discuss in this episode:

• What went into your decision to move from being an IT leader at a provider organization to now being CEO at Evergreen?
• Why do more CIOs not become CEOs?
• How has what keeps you up at night changed as you transition from a CDIO of a large health system to a CEO of a commercial business?
• CIOs often say they’re business leaders who happen to lead tech. Now that you’re actually running a business, do you still believe that?
• What’s something you were maybe hesitant to say when you were CIO that you’re willing to share more openly now?
• What’s your and Evergreen’s reaction coming out of the recent Epic UGM? What are the challenges CIOs face, and how should they be managing them?
• Where do you think CIOs should be investing in managed services, and when does it make sense to keep things in-house?
• What advice would you give to a CIO today?

Now, without further ado, we’re excited to share with you the next episode of the CIO Podcast by Healthcare IT Today.

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