We hope you’ll enjoy these experts’ insights.

Staci Josten, BSN, RN, CCDS, COO, Mid Revenue Cycle at e4Health

Amy Larsson, VP TruBridge Encoder at TruBridge, an IKS Health company

Caleb Manscill, President at Vyne Medical, an MRO company and Matt Wildman, Chief Commercial Officer at MRO

Sid Mehta, President & Chief Growth Officer at Access Healthcare

J.J. Melin, RN, BSN, Executive Director of HIM and CDI at Accuity

Shawn Fichter, CEO & Head of Product at Legacy Data Access

Jeff Whitmore, CRO at ChartMate

Outro

Rhapsody Axon is the AI behind Rhapsody’s products. It’s built in, not added on top. Axon understands the details of an organization’s environment and the external standards it has to meet.

Axon can guide engineers through building an integration in Rhapsody or Corepoint. Rhapsody Axon Broadcast, a new product for health tech companies, uses Axon to turn their technical documentation into playbooks that healthcare organizations can find and build from.

During much of our interview, Day describes the cultural and business shift available to an organization that uses AI this way. Instead of obsessing over the backlog of feature requests and bugs, they can look for new ways to serve clients and their patients. Day uses the phrase “faster time to value,” referring to producing products faster and serving new clients. The question becomes “What can we do next?”

When determining the value and costs of adding AI, Day recommends avoiding simplistic metrics such as lines of code. Instead, business leaders should measure outcomes such as time to product, or how often an engineer had to change the outcome to match the requirements.

He also warns that with faster coding and requirements processing, the organization’s bottleneck might move to testing or some other stage.

Finally, people with deep knowledge of standards and clinical concepts are still important in the age of AI. They are doing less of the clerical work of checking documents and moving up to orchestration and review.

Find out more details about how Rhapsody is using AI to make integration engineers more efficient in our interview with Kevin Day.

Learn more about Rhapsody: https://rhapsody.health/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

Rhapsody is a proud sponsor of Healthcare Scene.

Here are my key observations from the event.

Featuring: Andrew Robinson and Aisling Cunningham from CenTrak, Richard Robins and Riley Barlow from University of Utah Health, Trina Geiss from Rauland, Andrew Arroyo from Ascom, Andi Thomas

Key Takeaways from CenTrak 2026 User Conference

• Asset tracking remains highly valuable. One customer boosted their Baxter infusion pump use from 81 percent to 97 percent without purchasing new equipment.
• Staff duress is the most compelling use case. Up to 63 percent of healthcare workers experience workplace violence. Giving staff wearable panic buttons combined with real-time location data is critical for physical safety.
• Safety now extends beyond hospital walls. A new mobile app connects with existing staff badges and uses smartphone GPS. This protects employees in parking lots, remote clinics, and home health visits.
• Banning the word “tracking” wins clinical buy-in. Ascension overcame staff pushback by rebranding their rollout as “locating” technology. This simple change reinforces the focus on safety rather than punitive monitoring.
• Bluetooth Low Energy reduces hardware barriers. Modern locators are paper-thin stickers with long battery lives. This lighter footprint drives down infrastructure costs and makes facility-wide deployment possible.
• Return on adoption vs return on investment. Financial returns only happen when clinical teams actually use the technology. Measuring active usage gives organizations a much more realistic sense of their project success.

The Bottom Line

I am amazed by the level of passion people have for real-time location technology right now. Every attendee I spoke with was incredibly enthusiastic about these solutions. Combining lighter Bluetooth hardware with high-impact staff safety applications creates massive potential for healthcare. You need raving fans to drive clinical changes. CenTrak clearly has them, and I cannot wait to see what they deliver next.

What this conversation revealed

Why is staff duress driving real-time location system adoption? Workplace violence impacts over half of all healthcare workers. Hospitals desperately need solutions to protect their clinical teams. Wearable panic buttons with pinpoint location accuracy provide an immediate security response. This clear safety benefit helps secure necessary clinical buy-in.

What is Return on Adoption in healthcare IT? Return on adoption measures how actively staff use a newly deployed technology. Traditional financial returns are lagging indicators. Adoption is a leading indicator because tools only deliver value when clinical teams actually integrate them into their daily workflows.

Learn more about CenTrak at https://centrak.com/

CenTrak is a sponsor of Healthcare Scene.

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

• Virtual Chief Information Officer (vCIO) – Healthcare – Meriplex
• eDiscovery & Cybersecurity Analyst – GE HealthCare
• VP, Artificial Intelligence Vendor Governance & Oversight (Remote) – Molina Healthcare
• Chief Medical Information Officer Regional Executive Director – AdventHealth
• Security Threat Analyst – Harris Health
• Analyst I, Healthcare Data – Boston Children’s Hospital
• Chief Operating Officer – McLaren Health Care
• Patient Access Acute Coordinator – Intermountain Health
• President – Ascension
• Trauma Data Specialist – Nebraska Medicine
• BH Hospital Chief Executive Officer – Department of Behavioral Health and Developmental Services
• CyberSecurity Analyst II – Jefferson Health
• Data Coordinator I- Environmental Medicine – Mount Sinai Health System
• Chief Executive Officer – Encompass Health
• Health Record and Information Technician PACE – Sentara Health
• Enterprise Security Architect – UT Medical
• Chief Data and Insights Officer – AdventHealth
• Cyber Security Engineer – ScaleHealthTech
• Privacy Manager – AdventHealth
• Chief Executive Officer – Acadia Healthcare

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.

Stoltz says that the weak points where most fraud occurs are connections, such as when one person is processing a bill and has to ask another person for approval. Malicious intruders take advantage of these connection points by using LinkedIn, social media, and other online information to find the executives and key employees in health care companies.

Darling agrees that many people are busy and in a hurry to expedite a payment, and therefore don’t validate the vendor requesting payment or other actors in the system. The use of credit cards has made billing systems more complicated and therefore harder to use safely.

Stoltz says that paper checks are the most targeted form of payment by fraud, not only in health care but in society generally. Moving to electronic payments is critical.

Stoltz and Darling also discuss the value of partnering with a payment processor such as ECHO. Their expertise takes on some of the burden of dealing with this complex task. Validation of parties can be automated. Plus, the ECHO payment solution is embedded directly in the MEDITECH EHR.  This integration helps to streamline the process for hospitals and creates a smaller attack surface for fraudsters.

Check out our interview with Elliot Darling from MEDITECH and Tyler Stoltz from ECHO to learn more about fraud in healthcare and what your healthcare organization should be doing to reduce your risk.

Learn more about ECHO: https://www.echohealthinc.com/

Learn more about MEDITECH: https://ehr.meditech.com/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

ECHO is a proud sponsor of Healthcare Scene.

He sees growth as a “mindset,” where solutions are not one-time fixes but evolve through dialog and working together. Many clients start by treating Access Healthcare as just a vendor, but come to see the company as a partner, a “deep embedded relationship,” perhaps after they put together a difficult solution quickly by understanding exactly what the client needs.

Regarding AI, Mehta says that we can’t do what we need to do without technology, and that solutions combine human expertise with AI.

He also discusses worries that clients have with a company that employs a team globally, and that the key is for the people dealing with each client to emulate their culture. He says that Access Healthcare has to “serve internal staff too,” recognizing their unqiue needs.

To better serve clients, they employ the data collected during their 14 to 15 years of experience to show what is possible, what can and cannot be achieved. Many pilots work well because top resources were thrown at them, but scaling up is where the product really proves itself.

Check out our interview with Sid Mehta from Access Healthcare to learn more about how their approach to RCM can help your organization.

Learn more about Access Healthcare: https://www.accesshealthcare.com/

Listen and subscribe to the Healthcare IT Today Interviews Podcast to hear all the latest insights from experts in healthcare IT.

And for an exclusive look at our top stories, subscribe to our newsletter and YouTube.

Tell us what you think. Contact us here or on Twitter at @hcitoday. And if you’re interested in advertising with us, check out our various advertising packages and request our Media Kit.

 Access Healthcare is a proud sponsor of Healthcare Scene.

Patients have raised important questions about consent and AI scribes, including in lawsuits alleging doctor-patient conversations were recorded without permission. Such concerns must be taken seriously, and they point toward a clear path forward, where transparency and consent is embedded into how these tools are used from the get-go.

It matters that we get this right as AI scribes increasingly provide value for doctors and patients: they cut back time doctors spend writing notes by as much as 21 minutes per day – time doctors can give back to patients and fewer late nights catching up on documentation. 

Technology can make care safer. One federally funded review found hospital drug orders entered by computer were almost half as likely to contain an error than paper orders – preventing an estimated 17 million estimated medication errors per year. With clear consent, AI scribes can build on that progress, so patients get both privacy they expect and the attentive, accurate care that they deserve.

The shortage

The U.S. is expected to be short 86,000 physicians by 2036, according to the Association of American Medical Colleges. Federal projections show nonmetro areas will have just 42% of the physicians they need by 2038, compared with 95% in metro areas. It takes a decade to train a doctor; the doctors we do have need time back right now, not later. 

Paperwork eats time

For each hour physicians spend with patients, almost  two go to screens and desk work, plus one to two hours at home nightly. And family physicians spend 5.9 hours of an 11.4-hour day in the electronic health record.

When The Permanente Medical Group gave 7,260 physicians AI scribes, they saved an estimated 15,791 hours in about a year, or 1,794 workdays. Almost half of patients said their doctor spent less time at the computer and not a single one reported their visit got worse.

Why we built Sully

Ahmed: I watched my mother suffer serious harm from a medication error. This wasn’t an isolated event; the right information didn’t reach the right person in time. Such errors injure more than 1.5 million Americans in hospitals every year.

Amit: I was diagnosed with type 1 diabetes at 2. My care has always depended on data being correctly read. I began working on technology for automated insulin delivery with my dad when I  was t 8, began research at Stanford at 16  and joined Sully at 19.

Sully builds AI agents for the work that surrounds each visit, like scheduling, intake, documentation, coding and follow-up. Sully also shares what a health system learns about every patient, so that every doctor walks in with a full picture. Doctors remain in charge, and, when our models disagree, a human being reviews each case. 

Washington works on supply

We’re encouraged that Congress is weighing the bipartisan Resident Physician Shortage Reduction Act to fund more residency slots, as well as a bill extending visa waivers for rural doctors. The Centers for Medicare & Medicaid Services is additionally sending states $50 billion over five years through its Rural Health Transformation Program, including for tech. These efforts have our full support, but realistically, it will take years to experience the fruits of these policy changes. 

While these bills add doctors, the bipartisan COMPLETE Care Act would stretch psychiatrists we have by paying primary care practices to bring them in as consultants. That’s critical– by 2037, the U.S. is projected to have only enough adult psychiatrists for under half patients who need one. 

Risks and a blind spot

With AI, it’s imperative we move carefully. States have introduced more than 280 health AI bills this year and enacted 33. Many of them require that patients are told when AI is involved in their care. Meanwhile, the gloves are off in Washington, which is slugging it out as to whether to override them. Regulators have also proposed dropping rules that make vendors disclose how clinical AI is tested. The industry should keep disclosing anyway.

Trust is falling. Only 42% of adults say they’re open to AI in their own care, down from 52% in 2024. Yet 51% have used AI for an important health decision without a medical professional. When people can’t see a doctor, they turn to chatbots alone.

Federal health IT regulators should remain highly skeptical, because scrutiny is essential for robust public health. 

A full stop on AI in health care is the wrong prescription for the moment

Some thoughtful people want to halt AI in medicine until every question is answered. We understand the instinct. But the status quo is the much bigger safety risk. Instead of pausing medication errors, let’s move forward carefully.  A halt would not fix medication errors, the rural or mental health practitioner shortage or the hours upon hours lost to paperwork and ceded to physician burnout. Instead, it would lock them in, leaving patients with the most human-error prone tools.

The better path? The one medicine takes with any new treatment: first test carefully, next disclose honestly, always ask for consent, and keep the human physician in charge. Publish the results transparently. Hold companies like ours to that standard, now and always.

About Ahmed Omar

Ahmed Omar is a co-founder and the CEO of Sully. He started the company after his mother was seriously harmed by a medication error, and he set out to build technology that could help prevent similar mistakes. Today he leads a company developing autonomous AI agents that help physicians manage clinical operations and spend more time with patients. His focus is moving healthcare AI beyond chatbots to agents that handle real-world clinical work, while keeping physicians in control.

About Amit Kumthekar

Amit Kumthekar is a co-founder and the Chief Product Officer at Sully. Diagnosed with type 1 diabetes at age 2, he jailbroke insulin pumps to build automated insulin delivery systems with his dad at 8 and became one of the youngest sponsored principal investigators at Dexcom when he was 18. His early research now underpins several of Sully’s patents and papers. At Sully, he leads product, engineering, and applied AI, turning clinical AI research into systems that fit real healthcare workflows, expand clinicians’ capacity, and improve the care patients receive.⁠

Zocdoc Acquires Sohar Health to Make Insurance Easier to Navigate for Patients and Providers

First Acquisition in Zocdoc’s Nearly 20-Year History Marks a Continued Investment in Healthcare Access Infrastructure as the Company Expands Beyond Its Marketplace to Power Access to Care Everywhere Patients Search

Zocdoc, the healthcare access infrastructure that connects patients to great care, today announced it has acquired Sohar Health, a healthcare technology company that automates insurance benefits eligibility checks, making it easier to find and verify patients’ coverage. The transaction, which closed on October 2nd, 2026, marks the first acquisition in Zocdoc’s nearly 20-year history. As Zocdoc expands its healthcare access infrastructure, it is investing in scaling capabilities that make the path to care simpler for patients and providers, including insurance verification.

Zocdoc knows the strength of Sohar’s differentiated technology and team firsthand, as this acquisition builds on an existing relationship. The two companies have worked closely together since 2025, when Zocdoc selected Sohar as its insurance technology partner after evaluating many other solutions on the market. Sohar stood out, particularly in its ability to find patients’ coverage with minimal inputs. Since then, Sohar’s technology and expertise have become an important part of Zocdoc’s work to make insurance easier to navigate for patients and providers alike.

Investing in Healthcare Access Infrastructure at Scale

This acquisition comes at a moment when Zocdoc is investing in scaling its reach. Earlier this month, the company announced a significant expansion with the launch of Zocdoc’s Care Access Network, opening the infrastructure it built for its marketplace over nearly two decades to power access to care everywhere patients search.

Partners including Amazon Health AI, Gemini, Yelp, Healthgrades and Blue Shield of California can connect their users to real-time availability and booking with more than 200,000 providers across 200+ specialties and 10,000+ insurance plans, directly on their properties — powered by Zocdoc. The Sohar acquisition builds on that expansion, adding insurance technology to make coverage verification more seamless at scale, both on Zocdoc and across its partner network…

Full release here, originally announced October 14th, 2026.

Diverge Health Merges with Medical Home Network to Strengthen Value-Based Care for Safety-Net Providers and Patients

The Combined Company is Creating a New Standard to Drive Better Outcomes for Providers Dedicated to Under-Resourced Communities

Diverge Health, an organization that partners with primary care practices to strengthen the care they deliver to underserved patients, today announced they are merging with Medical Home Network (MHN), a public benefit corporation (PBC) that partners with federally qualified health centers (FQHCs) to build healthier communities. The combined company will create one of the largest value-based care organizations in the country dedicated to under-resourced communities.

The merger brings together two mission-aligned organizations with a shared founding history in Medicaid, proving their models on the hardest-to-reach and most socially complex populations before expanding into Medicare. MHN has spent more than 15 years working alongside community health centers and launched one of the first and most successful FQHC-focused Medicaid ACOs nationally. Diverge has largely built its network across independent primary care practices and invested heavily in community-based care teams, delivering a 2% reduction in population-level medical loss ratio with a national payer and a 6% increase in patients visiting their primary care provider in 2025.

Together in 2027, the companies will partner with nearly 100 FQHCs, more than 300 independent practices, and over 20 Medicaid and Medicare payer partners across nine states, supporting nearly 500,000 members and $3 billion in medical spend. The combined organization will embed local community health teams alongside partner practices so that providers can proactively address patients’ clinical, behavioral, and social needs and reduce total cost of care. The company’s proprietary risk modeling identifies rising-risk patients early and puts those insights and auto-generated care plans in the hands of local teams. Through continued investments in AI, the company aims to lower the cost of engaging each patient while extending providers’ reach and preserving the relationships patients already trust.

“Value-based care is notoriously hard, especially in Medicaid, but strengthening our country’s primary care backbone and supporting their patients to live their healthiest lives is a moral imperative,” said Binoy Bhansali, Co-Founder and CEO at Diverge Health…

Full release here, originally announced October 13th, 2026.

What’s cool about going to a user conference this many years in a row (Plus, we get to attend their Health Center and Enterprise Summits) is that you can see the trajectory of the company in a different way.  As I was considering what was presented this year, I felt like eClinicalWorks had finally packaged many of the AI and UI projects they’d been working on into one place.  I also saw an increased effort to share more of what they were doing to improve their EHR and practice management along with their newer healow Genie and Sunoh.ai solutions that layer on top of and integrate nicely with the eClinicalWorks EHR.

I shared most of the announcements, statistics, and perspectives that were shared on the keynote on social media.  I’ve embedded them below with some additional commentary for those that missed it.

Congrats to Girish and the team on 27 years.  I love that he shared that he wasn’t nervous to go on stage, but was excited for another user event.

I think the stats kind of speak for themselves.  Although, the stat that really stood out to me was how many new customers they landed last year.  That kind of growth in a pretty saturated market is pretty impressive.  eClinicalWorks is positioned to be around for a long time to come.

I’d say that these were the big announcements at the conference.  Although, we’d kind of already heard about most of them.  I was a little surprised by how well they’d been doing internationally.  Plus, as I mentioned in the post above, the fact that they have 4 hospital customers is big and the first FQHC pharmacy is live.  I’ll be really interested to see where that goes.  Live customers is where the rubber really meets the road.

In case you weren’t sure if eClinicalWorks was really committed to their hospital solution, this graphic shows you the depth of solutions that they’re building into the solution.  I don’t think most people appreciate the number of solutions that are needed to compete in the hospital market, but this slide does a pretty good job of showing much of what’s required.  The volume of software needs is pretty amazing to consider.

I was pretty fascinated by this promise from Girish during the keynote.  I think most practices would like to be “faster, smarter, and more profitable.”  As you’ll see below, there are a number of things they’re working on to help medical practices achieve just those results.

This slide was really fascinating to me.  It didn’t include my favorite examples of technology making healthcare better: legibility of notes and finding a patient’s chart.  When have you last heard a joke about doctor’s handwriting?  How many times have you called medical records to pull the paper chart for you?  That’s right, EHRs literally solved being able to read what’s in the chart and you can search the patient’s name and have the full chart at your fingertips instantly.  The list in this image are other great examples of ways technology has improved healthcare.

Of course, once those improvements are commonplace, we take them for granted.

I thought this was a really incredible way to describe what’s happening with AI.  The size of the investment is massive.  Hard to say if the impact will match the investment, but what is clear is that better solutions will come to healthcare from all of this investment.  In fact, they already are.  I’d also argue that you can resist it all you want, but it’s coming either way.

We’ve long talked about the value of being a system or record.  There’s a power in that positioning.  I’ve often called the EHR the “database of healthcare.”  I imagine Girish and many other EHR vendors would not like that positioning.  Working to not just be a system of record, but being a System of Intelligence is a good way to suggest you’re moving beyond just being a database of healthcare information.

When I talk about eClinicalWorks working on how they’re “packaging” all of the various work they’ve been doing, the Smart Canvas is the best example.  I’d describe it as the new UI layer for eClinicalWorks users with AI powering the interface in really interesting ways.

We’ve talked for a long time at Healthcare IT Today about how the EHR’s UI was going to morph so that the UI for each doctor would be different.  We’ve also mentioned how each patient should have different information pushed to the doctor in the UI.  I feel like Smart Canvas is bringing these ideas and more together into the eClinicalWorks UI.

I’m really interested in seeing where the battle for GenAI clinical knowledge goes.  It seems like UpToDate will be the big winner since they’re largely powering the backend of most of the solutions out there.  However, healow IQ within eClinicalWorks is pretty compelling because it has access to the clinical information for a patient.  That feels different than the standalone solutions to me.  I’ll be interested to hear what others think.

I generally don’t share a lot of the detailed updates that they show at EHR user conferences.  However, their reaction to new features is always fun.  This is particularly true at eClinicalWorks where they encourage the crowd’s reactions.  In some ways, I describe it more like a pep rally with a lot of applause and cheering.  It’s easy to forget how much time healthcare spends in the EHR.  A great new feature can improve their work lives in really significant ways.

I’ve never understood the complaints about too many clicks in the EHR (think about how many times I had to click for this article).  However, time spent in an EHR is worth tracking.  Amazing to see eClinicalWorks made their new interface 43% faster.

It’s not sexy to talk about some of the practice management solutions like forms designers, RCM, and document and image AI solutions.  However, they end up being some of the most impactful.

If you’ve read Healthcare IT Today for a while, you’ve heard Amy’s story of her daughter before.  Although, she keeps finding cool new ways to reframe the impact healthcare has on her daughter and how technology can help.

I also love “the status quo has risks too.”  I usually say that doing nothing can be even more damaging than the risks of technology and AI.  That’s an important concept.

It’s easy to go back to old habits for how to configure the EHR software.  It was impressive that eClinicalWorks was leveraging similar voice AI that’s helping doctors and nurses is also being used to help those who are building and configuring the software.

They didn’t have as much focus on healow Genie at this year’s keynote, but I definitely heard good things about it from a lot of the users at the event.  It’s really cool that Genie is now being leveraged for CCM conversations.  Makes total sense to leverage the technology this way.

In the past I wouldn’t have celebrated these device integrations the same way.  However, now the devices available to consumers have become so much more clinically relevant.  This is cool that device data can be shared with your doctor this way.

Last year I proclaimed the AI Workbench as one of the coolest new efforts from eClinicalWorks.  It still is one of the most exciting.  I can’t wait to see what solutions medical practices build using this technology.  There are so many mundane things we do in healthcare that is outside the EHR, but needs info and/or access to the EHR and this solution can help.  They had a hackathon type event where people came with their ideas and the team being the AI workbench showed them how it could be done.  I can’t wait to see at the next eCW event the most popular ways AI workbench is being used by medical practices.

Girish kind of ran out of time to really dive into these concepts in depth.  I was kind of disappointed because I think it would have been very educational.  However, his list of what a healthcare AI agent should have is useful to consider as you look at AI agents for your organization.

Also, the agent store is interesting.  I’ll be really interested to see how that develops over time and who they allow to put products in the store.

The above items really have stuck with me.  The first is a culture shift that healthcare organizations need to consider.  Where am I (and some will say, can I) allow technology to do something without human intervention?  That’s a big leap, but is where we’re heading.

I also loved that Girish pointed out that technology alone can’t solve the problems.  This largely goes back to a company culture too.  If a medical practice resists the latest technology, then you’re going to miss out on a lot of the benefits.  It’s worth acknowledging that change is hard and comes with certain costs (time, pride, and money).  However, it does take an organizational effort to adopt technology and adapt processes to what the new technology can do if they want to reach the results of a faster, smarter, and more profitable practice that Girish talked about.

There was certainly a lot more that was talked about and shared at the eClinicalWorks National Conference, but those are some of the big highlights.  What do you think?  What’s your reaction to all these announcements?  Let us know on social media.

Here’s a preview of the topics we bet on in this episode:

• Over/Under the number of new health IT regulations before the end of the year: 3
• Over/Under the percentage of healthcare organizations that will have an AI agent in production by the end of 2026: 50%
• Over/Under the percentage of health systems that will seriously consider replacing their EHR in the next five years: 25%
• Over/Under the percentage of patients who will use AI to help them decide where/how to get care in 2026: 77%
• Over/Under the percentage of healthcare data that will still be effectively inaccessible or difficult to use because of interoperability/data-quality issues at the end of 2026: 30%
• Over/Under the percentage of prior auth that will be substantially automated by the end of 2027:  63%
• Over/Under the number of people who will be at the HLTH conference: 12,000
• Over/Under the number of videos Healthcare IT Today will do in the Fall: 175

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

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If you work in Healthcare IT, we’d love to hear where you agree and/or disagree with the perspectives we shared. Feel free to share your thoughts and perspectives in the comments of this post, in the YouTube comments, with @Colin_Hung or @techguy on Twitter, or privately on our Contact Us page. Let us know what you think of the podcast and if you have any ideas for future episodes.

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