< + > Ditch the Security Snapshots. Why TripleKey Says Point-in-Time Audits Must End.

Security in healthcare is tough. Threats keep increasing rapidly. The attack surface is expanding. It feels incredibly overwhelming today. A hidden weapon in this battle against nefarious actors is time…or more accurately timeliness. One healthcare organization changed their approach to security and made time their ally.

I sat down with Patrick McGill, President and CEO of Community Health Network, and Jon Brown from TripleKey. We discussed the overwhelming pace of security threats and why moving away from point-in-time security audits to real-time vulnerability scanning better protects operations.

What This Conversation Revealed

• Patient Safety Risks: Large scale attacks shut down critical hospital systems and delay care. By elevating cybersecurity to a clinical priority, leaders protect patient safety and ensure care delivery.
• Outdated Audits: Point in time security audits become obsolete the very next day. By implementing continuous real-time monitoring, health systems spot and address new vulnerabilities instantly.
• Slow Patching Cycles: Waiting months to patch vulnerabilities leaves networks highly exposed to immediate exploits. Using live data to trigger rapid mitigation drastically shrinks the window of exposure.

Cybersecurity Is a Patient Safety Mandate

Security is no longer just an IT problem. It is a fundamental requirement for delivering care. When large scale attacks occur, the consequences extend far beyond exposed data.

“We previously thought that it [cybersecurity] was IT technical security,” explained McGill. However, that compartmentalized thinking is no longer accurate. “When you look at the last few years, the large-scale attacks that have occurred in healthcare, it is clearly a patient safety issue. Patients simply cannot get treated when the system is under attack.”

Ditch the Snapshot for Continuous Monitoring

Annual security audits provide a false sense of comfort. They capture a single moment in time. The reality of modern networks is much messier.

McGill compared these reviews to cleaning a house. “I would see that we would do a security or a technical review, and you get a snapshot in time,” McGill shared. “That’s like coming into somebody’s house and it’s clean and everything’s in place, but the next day the kids have destroyed it and everything’s out of place”.

Healthcare needs continuous visibility. Relying on static security audits no longer works.

Brown agreed, emphasizing the need to leave paper-based assessments behind. “Getting rid of forms and moving to facts all builds the trust that we need for our patients,” noted Brown. He added that the industry must move to a “data driven process and using real-time data to actually mitigate the issues”

Speed to Mitigation is the Only Defense

The traditional patching cycle is broken.

“We’re seeing attackers actually have an exploit the same day that that vulnerability’s announced, but it may take two months to get the vulnerability patched by the health system,” warned Brown.

Organizations must move faster. “By using real time data such as triple key, we know when the vulnerability is there and we know immediately how to mitigate it,” Brown explained. Shrinking that timeline is the ultimate goal.

The Health IT Reality

The reality is that healthcare security is a race against time. The days of relying on periodic assessments and slow patching schedules are over. IT leaders must embrace continuous monitoring and rapid mitigation to protect their organizations. If you cannot spot a vulnerability in a timely manner and fix it immediately, your patients are at risk.

What Healthcare IT Leaders Are Asking

Why is real-time monitoring necessary for healthcare security?
Real-time monitoring is essential because threat actors move incredibly fast. A point in time security audit only validates the environment at that exact moment. By the next day, new vulnerabilities can emerge or configurations can change. Continuous monitoring allows healthcare IT teams to see their true risk posture at all times and respond immediately to new threats.

How does delayed patching impact patient safety?
When health systems take months to apply security patches, they leave their networks open to immediate exploitation. If an attacker breaches the network through an unpatched vulnerability, they can shut down critical clinical applications. This directly impacts patient safety because clinicians lose access to the tools they need to deliver care safely.

How can health systems speed up their mitigation efforts?
Health systems can accelerate mitigation by moving away from manual compliance forms and adopting data-driven security tools. These platforms provide immediate visibility into where vulnerabilities exist across the enterprise and offer direct paths to fix them. Having a shared, transparent view of the data allows internal teams and vendor partners to collaborate quickly and close security gaps.

Learn more about TripleKey at https://www.triplekey.com/

Learn more about Community Health Network at https://www.ecommunity.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.

< + > Key Ideas on How to Scale AI with UC San Diego Health and Notable

One of the most important topics at the HIMSS conference was the focus on AI in actual practice versus AI in theory.  Plus, a key part of this conversation was does the AI solution scale to the problem or does it just work as a pilot.

In the session “Build, Deploy, Transform: UC San Diego Health’s AI Playbook” presented by Karandeep Singh, MD, MMSc, Chief Health AI Officer at UC San Diego Health, Jeffrey Pan, Director at UC San Diego Health, and Aaron Neinstein, MD, Chief Medical Officer at Notable, we got a heavy dose of what’s really working at scale with AI.  Plus, they share some key insights into the mindset shift that’s needed to really benefit from the healthcare AI solutions out there.

Here are some of the key insights and perspectives they shared during the session along with some additional commentary.

I love 2 elements of this session.  The idea of reimagining is a really good one.  I know when I first implemented an EHR we replicated the previous workflow.  Then, we went back and redesigned the workflow based on what the EHR could do that we couldn’t have even thought about previously.  I think AI is forcing us to go straight to reimagining workflows because of what’s possible now.

I also love that they approached this as a system wide project.  We’re going to have a lot of shadow AI projects that were done by departments and that can lead to all sorts of drama later.

These stats are a great example of being able to reimagine a process.  When a human is auditing something it’s expensive and time consuming.  The right AI technology can make reviewing everything trivial.

I know many healthcare organizations that still live in this scarcity mindset.  To be fair, it’s a hard mindset shift to make.  The above audit example is a good one to reinforce this concept as well.  When we’re human constrained, scarcity is real.  With technology, we can often change from a world of scarcity to abundance.  That shift in thinking is a powerful one that I’ve seen play out across healthcare organizations.  Can we reach out to every patient?  Can we audit every claim?  Can we follow up on every low balance?  etc etc etc.  All of thse are a challenge with humans, but are possible with technology.

The beauty of healthcare is that we’re all impacted by what happens here.  One thing I love about this story is that the AI technology can adapt to the person regardless of age and tech skill.  However, at its core is ensuring that the patient has the best experience possible.

I’ve often told people that if you don’t want to reach me, send a letter.  I barely check my mailbox.  However, I check my email, texts, phone calls all day every day.  Plus, mailing is expensive.  The AI should consider a patient’s preference, but the opportunity to be able to do outreach to 100% of patients is a powerful one.  Obviously, that’s proven out in the amazing no-show and cancellation rates that they described.  When it comes to surgery prep, this translates to a massive ROI.  Plus, many healthcare organizations have capacity issues and long wait lists.  Improving no-shows and cancellations can help get patients seen sooner.

Another major theme at the HIMSS conference was orchestration.  It was great to see this highlighted in this session as well.  Orchestration really has become key.  Plus, deep integration with Epic is powerful as well since most providers aren’t going to visit another system.

What a powerful idea.  How much time has your organization spent thinking about “should we automate this workflow?”

I find that this shift almost happens naturally once you start implementing AI.  In fact, it’s why every healthcare organization should start implementing AI.  The act of doing something expands the minds of your users and enlivens their creativity for what’s possible.  Of course, the real challenge today is that every few months AI is progressing so that what wasn’t possible 3 months ago is now possible.  That’s the most exciting and also challenging parts of what’s happening with AI right now.

Where are you at in this framework of healthcare AI agent adoption?  Have you started linking agents?  Have you seen the power of linked agents?  What seems clear to me is that you don’t generally jump to linked agents.  You have to start with specific agents and then can link them over time.

I think that this is one of the things that holds many organizations up.  They have fear of the “what if it goes wrong.”  It’s an important question to ask and test.  I love this session’s comment about it not needing to solve everything.  Escalating something it can’t solve can still be a win for your organization without putting anything at risk.

This reminds me of the reality that we often want to compare AI against perfection.  That’s always been a mistake.  We should be comparing AI against the alternative.  The reality is that humans aren’t perfect either.  However, we allow much more grace for humans than AI.  That often holds organizations back from benefiting from the improvement that AI can provide.  Don’t throw out the benefits of AI because it can’t solve everything for you now.

Trust really is the key to any AI implementation.  If they don’t trust it, they won’t use it.  This is a nice framework for building trust in an AI solution at your organization.

What did you think of this session on implementing AI at scale with UC San Diego Health and Notable?  Has your experience implementing AI been similar to there’s?  What else would you add to the conversation?  Let us know on social media.

< + > Continuity Without Workarounds: How Payers Stabilize Digital Mailroom + Paper-to-EDI Intake During Disruption

The following is a guest article by Vidhya Bhat, Chief Product Officer, Digital Transformation, Imagenet

Disruption doesn’t just slow intake—it changes behavior. In most payer environments, operations continue running, but leaders begin reassessing operational risk, redundancy, and long‑term exposure across their intake infrastructure. During that reassessment, teams often introduce “temporary” workarounds to reduce perceived risk or maintain throughput: forwarding emails, routing documents through shared drives, manually tracking exceptions in spreadsheets, or creating side processes that bypass normal checks.

Those workarounds are understandable. They’re also where operational and data‑handling risk tends to grow—because visibility breaks down, exceptions pile up, and handoffs become inconsistent. The payers who manage disruption effectively tend to prioritize control, not just speed. They maintain continuity planning—keeping intake moving without losing governance.

For many organizations, the core dependency isn’t simply physical mail handling. It’s compliant, accurate paper‑to‑EDI conversion and downstream transmission. That’s why continuity planning needs to explicitly include EDI accuracy, validation, monitoring, and traceability—not only channel consolidation.

What Changes During Disruption: Three Predictable Failure Modes

1) Multimodal Intake Breakdowns

When inbound content arrives through too many channels (mail, fax, email, portals, ad hoc uploads, electronic feeds), the organization loses a single source of truth. Tracking becomes manual, prioritization becomes inconsistent, and downstream teams inherit variability.

What it looks like: multiple inboxes, inconsistent naming conventions, unclear ownership, and the classic “I thought your team had it.”

Why it matters: fragmentation makes it harder to manage backlog, enforce consistent handling, and report status in a defensible way—especially when volumes surge.

2) Data Quality Breaks Drive Exceptions

Disruption increases exceptions: missing data, unclear document types, misrouted items, duplicates, and urgency conflicts. Without governed exception handling, exceptions become informal escalations—often through side channels that aren’t trackable or auditable.

What it looks like: “urgent” items jumping queues, ambiguous ownership, resolution happening over chat or email, and aging backlog without clear disposition paths.

Why it matters: unmanaged exceptions drive rework, create quality drift, and introduce compliance exposure because decisions and edits are not consistently captured.

3) Breakdown in End-to-End Visibility (Including EDI)

When teams move fast through workarounds, the organization loses defensible visibility—who touched what, what changed, where it went, and when it was handed off. That’s not just a compliance concern; it’s an operational one.

In parallel, paper‑to‑EDI workflows can become brittle under stress. If validation is inconsistent or acknowledgements aren’t monitored, the organization may not know whether EDI output was accurate, complete, and successfully transmitted.

What it looks like: unclear handoffs, limited reporting, difficulty reconstructing what happened during a surge, and uncertainty about EDI transmission outcomes.

A Practical Framework: Five Design Principles for Resilient Payer Intake

Principle 1: Build a Controlled Intake Pipeline

Resilience starts with consolidation. A controlled pipeline acts as a centralized intake engine, ensuring inbound content is normalized before routing—so channel differences don’t create process differences. This is often the fastest way to reduce fragmentation and regain operational control.

In continuity terms: one governed pathway for intake, classification, routing, and status tracking—rather than a collection of side processes.

Principle 2: Govern Exceptions with Ownership and Escalation

Exceptions are inevitable. Uncontrolled exception handling is not. A governed model includes defined queues by exception type, clear owners, standardized resolution steps, and escalation paths that are traceable—not informal.

When exception governance is designed well, disruption doesn’t force teams to abandon controls; it simply increases volume through a system built to handle it.

Principle 3: Explicitly Anchor Continuity on Paper‑to‑EDI Controls

Continuity isn’t complete if EDI output quality or transmission reliability is uncertain. A resilient approach includes defined conversion rules, validation checkpoints, and monitoring for downstream transmission status (e.g., acknowledgements) so paper‑originating work can move through compliant, defensible pathways—even under surge conditions.

The objective: protect outbound EDI data quality, reduce preventable exceptions, and maintain confidence that transmissions are accurate, complete, and on time.

Principle 4: Standardize Handoffs Into Payer Systems

A stable intake function isn’t complete until downstream teams receive work consistently. Standardized handoffs reduce variability and prevent operational debt from building up in claims, correspondence, enrollment, appeals, and other back‑office operations.

Regardless of whether an item arrived by mail, fax, email, portal, or electronic feed, downstream teams should receive it in a consistent, workflow‑ready format with the metadata they need to process it—so disruption doesn’t multiply downstream rework.

Principle 5: Embed QA and Traceability Into the Workflow

Speed during disruption can’t come at the expense of accuracy and defensible processing. Embedding validation and QA—especially for high‑risk document types—helps stabilize quality even when volumes surge.

In practice, this means applying business rules and checks, flagging uncertain outputs, routing them into role‑based review workflows, and maintaining end‑to‑end traceability (often via a Document Control Number or equivalent identifier).

The Technical Building Blocks That Make Continuity Scalable

In a modern multimodal intake environment, continuity at scale depends on a handful of building blocks working together. The exact configuration varies by payer, but the components below show up consistently in high‑control models:

• Intelligent Document Processing (IDP): OCR‑driven ingestion, document classification, and data extraction
• Validation workflows: business rules and checks that flag inconsistent or incomplete data
• Confidence‑based routing: low‑confidence fields are flagged and routed into role‑based validation/QC queues
• Unique item tracking: a Document Control Number (DCN) or equivalent identifier to maintain end‑to‑end traceability across channels and work queues
• Secure transport options: controlled portals and secure transfer methods such as SFTP/FTP for inbound feeds (as required)
• Identity and access governance: SSO/MFA and, where required, additional controls backed by audit‑ready logging
• Integration + delivery layer: standardized handoffs and paper‑to‑EDI conversion pipelines that support downstream transmission reliability and audit‑ready traceability

The point is not to “add more technology.” It’s to ensure that when disruption occurs, throughput can increase without governance collapsing—because the workflow was designed to prevent uncontrolled side channels from becoming the default.

To pressure-test your intake readiness against 10 core controls, reference the Digital Mailroom + Paper-to-EDI Continuity Checklist

The Takeaway: Continuity Is Operational Control at Scale

In payer environments, disruption is rarely a single‑point event—it’s a stress test that exposes where intake is fragmented, where exceptions aren’t governed, and where visibility is too fragile. The strongest continuity posture doesn’t rely on heroics. It relies on controls: centralized intake, governed workflows, standardized handoffs, embedded QA, EDI validation, and traceability.

For payer leaders evaluating readiness, a simple question is often the most revealing: Can we maintain throughput under disruption without creating uncontrolled workarounds?

A Practical Next Step

If disruptions are creating backlogs, exceptions, or intake delays, a structured review of intake channels is often the fastest place to start. Map your channels, document exception pathways, and identify paper‑to‑EDI dependencies. Then confirm whether you have a controlled intake pipeline, governed exception handling, embedded QA, and end‑to‑end traceability.

A targeted review can quickly surface single points of failure, EDI exposure, and the controls required to stabilize throughput under surge—without creating new risk through workaround‑heavy processes.

Imagenet works with payer organizations to stabilize digital mailroom intake through centralized intake orchestration, governed workflows, and end‑to‑end traceability—with explicit support for paper‑to‑EDI continuity and downstream transmission reliability. Imagenet is positioned as a lower‑risk, scalable, future‑ready (AI/ML‑enabled) alternative for payers reassessing intake exposure. To talk with our experts about continuity options, visit our Digital Mailroom Continuity page.

About Vidhya Bhat

Vidhya Bhat is Chief Product Officer, Digital Transformation at Imagenet, where she leads the strategic direction, commercialization, and growth of Imagenet’s Digital Mailroom and Print-to-EDI (P2E) solutions. With 20+ years in healthcare technology, she is a recognized subject matter expert in document management, workflow automation, and operational efficiency—helping leading healthcare organizations modernize intake, improve productivity, and reduce avoidable operational friction.

< + > This Week’s Health IT Jobs – March 18, 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 Business Systems Analyst – CHEO
• Peer Review/Quality Coord Assistant – Outcomes Specialist – CarolinaEast Health System
• Business Change Director – Epic Systems – Elevance Health
• Social Worker – DaVita Kidney Care
• Director, IT – Server and Storage – Community Health Systems
• Cybersecurity Lead – Medical Devices – Analog Devices
• Quality – Document Training Coordinator – Bristol Myers Squibb
• Social Care Manager – StrongSteps Behavioral Health
• Government Healthcare Data Consultant – Mercer
• Investigator (Fraud, Waste & Abuse) – Cotiviti
• Medical Device IoMT Security Specialist – Insight Global
• Forms and Records Analyst, Vital Records – Washington State Department of Health
• HIM Clinical Data Analyst, Remote, Health Information Management – Baptist Health
• Community Health Worker – Essentia Health
• Cybersecurity Risk Manager – Healthcare – Baylor Scott & White Health
• Healthcare Data Analyst – Sentara Health
• Provider Data Coordinator – VNS Health
• Community Health Worker – Oak Street Health, part of CVS Health
• Cybersecurity Risk Assessment Analyst – Mercor
• Social Determinants of Health (SDOH) Coordinator – POOL – AtlantiCare

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.

< + > AI Can Bring a Golden Era for Medicine

Ruben Amarasingham, MD, Chief Medical Officer at Smarter Technologies, is often asked by medical students whether they’re in the right profession. He responds that we may be entering a “golden era” for practicing medicine, thanks to AI.

In the age of generative AI, it can follow clinical sessions and produce doctors’ notes; AI can also automate much of the frustrating and time-consuming tasks related to revenue cycle management. But now AI can do much more by combining work on notes (the frontend) and RCM (the backend); this is the area where Smarter Technologies’s  SmarterNotes operates.

The current medical system is well-known for imposing administrative tasks on doctors, who come out of medical school unprepared for this reality. “There’s no med class called DRG 101,” Amarasingham jokes, referring to Diagnostic-Related Groups, a complicated measurement used by Medicare to calculate payments.

He points out that while easing the staff’s administrative burdens is important, in addition—given the costs of investing in AI—providers are asking, “But can you improve revenues as well?” The advent of what he calls “multi-faceted AI systems” takes AI to that new level.

For instance, the diagnostic and billing engines in AI can suggest a diagnostic code while the front-end ambient scribe part is writing the note. Insights from the front-end can also refine the back-end.

Amarasingham also discusses how different organizations will implement AI: some doing incrementally, one function at a time, and others in a more integrated fashion.

Check out our interview with Dr. Ruben Amarasingham from Smarter Technologies to learn more about the impact of AI for good on medicine.

Learn more about Smarter Technologies: https://www.smartertech.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.

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Smarter Technologies is a proud sponsor of Healthcare Scene.

< + > Virtual Technologies Group Announces Acquisition of Vector Tech Group | Interra Health, Created Through the Merger of DoseSpot and Arrive Health

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.

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Virtual Technologies Group Announces Acquisition of Vector Tech Group

Virtual Technologies Group (VTG), a leading IT, security, and cloud services firm backed by Jacmel Partners, announced today that it has acquired Vector Tech Group, a regional provider of customized and integrated IT solutions to businesses and other organizations. Vector Tech will continue to serve its current roster of customers and employees as a subsidiary of VTG.

The acquisition of Vector Tech, which is supported by strategic capital from Jacmel, expands VTG’s footprint in the Midwest and enhances its existing array of IT services with a complementary, high-growth suite of services. The combined business will provide tailored end-to-end solutions and IT infrastructure services to businesses and organizations in the manufacturing, education, healthcare, government, financial, professional services, non-profit, and automotive sectors.

“Beyond the clear strategic and complementary fit with VTG’s platform, Vector Tech’s dedicated employee base and exceptional customer service make it an invaluable addition to our IT service offerings and organization,” said Greg Yarrington, Chief Operating Officer at VTG. “This partnership expands our product portfolio and enhances our ability to serve our clients with greater capabilities and expertise.”

“Today’s announcement represents another exciting step forward in VTG’s evolution,” said Nick Jean-Baptiste, CEO at Jacmel. “We recognized the strength of Vector Tech’s growth trajectory and the potential for even further expansion across its platforms, including for its infrastructure and cybersecurity offerings and its scalable K-12 customer deployment model.”

“This is a fantastic opportunity for Vector Tech, and we’re very excited for what’s ahead as we partner with Jacmel and VTG,” said William Loiacano, President and CEO at Vector Tech…

Full release here, originally announced March 3rd, 2026.

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Interra Health, Created Through the Merger of DoseSpot and Arrive Health, Ushers in a New Era of Transparency for Patients and Providers

The Company is the First to Unify the Journey from Medical and Pharmacy Benefit to Prescription Fulfillment for Confident Provider Decisions and Informed Patient Action

Interra Health, formed today by the merger of DoseSpot and Arrive Health, delivers the first patient-centric prescribing experience, providing trusted eligibility, price transparency, and pharmacy information directly to providers and patients. The company combines Arrive’s coverage and pricing network with DoseSpot’s ePrescribing and engagement capabilities to support prescribing decisions and help patients access the right medication at the lowest cost, where it works best for them.

The Bain Capital Tech Opportunities team is leading the investment supporting the merger and will serve as the majority owner of Interra Health. PSG, the former majority owner of DoseSpot, will be a minority owner. Additional minority investors include Providence and UPMC Enterprises. TripleTree served as exclusive financial advisor to DoseSpot and PSG, and Piper Sandler served as exclusive financial advisor to Arrive Health in this transaction.

Josh Weiner, former CEO at DoseSpot, will serve as CEO and a board member of the new combined company, while Kyle Kiser, former CEO at Arrive Health, will serve as a board member and senior advisor.

Trusted Data Between Providers and Patients

In a fragmented healthcare system, confident prescribing decisions depend on providers and patients having access to the same trusted, real-time information. Too often, coverage restrictions, prior authorization requirements, and higher out-of-pocket costs surface only after a prescription is sent. Interra Health addresses this by delivering real-time coverage, pricing, and authorization insights across the prescribing journey, before the prescription is sent, creating a more connected experience for providers and patients.

Arrive Health brings a market-leading network providing real-time coverage and affordability insights from payers and pharmacies to the point of care, while DoseSpot delivers trusted prescribing and engagement tools used by providers and patients every day…

Full release here, originally announced March 2nd, 2026.

< + > Deep Dive Into Healthcare AI – Healthcare IT Today Podcast Episode 188

For the 188th episode of the Healthcare IT Today Podcast, sponsored by Swaay.Health, we are doing a deep dive into healthcare AI! We kick this episode off with a debate on whether or not hallucinations will continue to happen and if they’ll prevent AI from being implemented/accepted. Then we theorize about whether healthcare will ever trust AI agents to work without supervision. Next, we take a look at the data healthcare AI is trained on and discuss if we think the quality and diversity will ever be a major concern. Lastly, we conclude this episode by trying to decide if we are not talking about the cost of AI enough.

This week’s episode is brought to you by Swaay.Health! If you are in healthcare marketing, PR, communications, or patient experience at a hospital, clinic, payer, health IT company, or agency, you need to be at our Swaay.Health LIVE 2026 event, April 29 to May 2 in Foxborough. It’s the premier event to learn, network, and get energized. Head over to Live.Swaay.Health to learn more!

Here’s a preview of the topics and questions we discuss in this episode:

• Will hallucinations continue to (a) happen, and (b) be something that stops AI from being implemented/accepted?
• Will healthcare ever trust AI agents to work without supervision?
• Will the quality and diversity of data that healthcare AI is trained on ever be a major concern?
• Are we not talking enough about the cost of AI?

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

We publish a new Healthcare IT Today podcast every ~2 weeks. Thanks to our friends at Healthcare Now Radio, you’ll be able to listen to the latest episodes of Healthcare IT Today on their radio station for the first two weeks. Then, we’ll be publishing each episode as a podcast and YouTube video here after it finishes on the radio.

You can also subscribe to the Healthcare IT Today podcast on any of the following platforms:

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Thanks for listening to Healthcare IT Today and if you enjoy the content we’re sharing, please rate the podcast on your favorite podcasting platform.

Along with the popular podcasting platforms above, you can Subscribe to Healthcare IT Today on YouTube.  Plus, all of the audio and video versions will be made available to stream on HealthcareITToday.com.

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.

Thanks so much for listening!

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