Literature Review

How health systems are building the data foundation for agentic AI HealthTech | Artificial Intelligence; by Brian T. Hororwitz; 11/2/26 Healthcare organizations are finding plenty of use cases for agentic artificial intelligence, from increasing staff productivity to reducing data fragmentation. To fulfill their aspirations through agentic AI, providers need a reliable data foundation that comes with strong governance. “AI can definitely increase efficiencies, but the key is getting it to increase productivity for the organization,” says Christian Lindmark, vice president and CTO at Stanford Health Care and the Stanford University School of Medicine. “That's where governance really comes into play.”

Cleveland Clinic grounds tech change in reliability and scalabilit: Sarah Hatchett, senior vice president and CIO at Cleveland Clinic, discusses change management and ongoing digital transformation in healthcare HealthTech; by Teta Alim; 10/21/26 Across industries, generative and agentic artificial intelligence seem to dominate headlines, ... “Healthcare doesn't need more technology for the sake of technology. It's all about scalable, reliable solutions that really improve care and create enterprise value,” Sarah Hatchett, senior vice president and CIO at Cleveland Clinic, tells HealthTech. She talks about how Cleveland Clinic prioritizes reducing friction for patients and clinicians and why stakeholder alignment is key to an IT project’s success.

When clinical AI becomes a safety issue, cybersecurity stops being optionalNetcrook / Industrial Cybersecurity & Critical Infrastructure; by Netaegis; 10/14/26[Health Sector Coordinating Council’s Cybersecurity's] HSCC’s new AI clinical resilience playbook reflects a hard truth in healthcare: if artificial intelligence touches care delivery, then patient safety, operational continuity, and cyber risk have to be managed together. Healthcare has spent years treating AI as an efficiency tool. The more clinical systems depend on it, the more the risk picture changes. A new playbook from [HSCC's] Working Group puts that shift into plain terms by framing AI resilience as a clinical and security problem at the same time. The practical takeaway is simple but important: in healthcare, AI is not just software. It can sit inside workflows that affect diagnosis, monitoring, documentation, scheduling, and care coordination. That means failures, unexpected behavior, or tampering can carry consequences that go beyond IT disruption.

OpenAI said it solved 300+ complicated math problems, mathematicians are lividMorning Brew; by Matty Merritt; 10/7/26All this complicated math and no one was left sobbing at the kitchen table. This week, OpenAI dumped solutions to 372 of the world’s previously unsolved problems across number theory, algebraic geometry, topology, and other fields most of us have no business trying to understand. The release has mathematicians spiraling as AI models power through problems some have spent their lives working on.Publisher's note: While not hospice specific, this article demonstrates how quickly AI is changing the mathematical field (and many others).

New Jersey telehealth update: access expanded, pay parity extended, licensing upheld Mondaq Legal 500 | Intelligence; by Becca Waltuch and Josh Yoo; 9/30/26 New Jersey has significantly expanded telemedicine access for Schedule II controlled substances by eliminating certain in-person examination requirements for cancer patients, hospice care recipients, and adults prescribed stimulants. The state has also extended its telemedicine pay parity mandate through 2027, while federal courts have upheld strict physician licensing requirements for out-of-state providers offering telehealth services to New Jersey patients.

Recruiters say health systems must define the mandate before searching for a chief AI officer Complete AI Training; 9/25/26 Only 6 of the top 100 health systems had a dedicated chief AI officer in 2024, though that number is now growing fast as organizations weigh hiring one or folding AI oversight into existing roles. Health systems are formalizing AI leadership as adoption accelerates, with many weighing whether to hire a dedicated chief AI officer or fold the responsibility into existing roles. ... Recruiters say the mandate must be clear before the search begins, because the pool of qualified candidates remains small and the role is still taking shape.

Data breaches announced by gastroenterology practice and hospice companies The HIPAA Journal; by Steve Alder; 9/24/26 Data breaches have been announced by Gastroenterology & Hepatology of Central New York, Three Oaks Hospice, and Doctor’s Choice Home Care.

AI can’t replace this: the leadership advantage that’s more human than ever | part one Teleios Collaborative Network (TCN); podcast hosted by Chris Comeaux with Dr. Andrea Hollingsworth; 9/23/26 In Part One, Chris Comeaux welcomes Dr. Andrea Hollingsworth, founder and CEO of Hollingsworth Consulting and author of The Compassion Advantage: How Top Leaders Build More Humanizing Workplaces, for a timely conversation about compassion, vulnerability, and what it means to lead well in an increasingly AI-driven world. Andrea argues that while AI can solve problems, organize information, and simulate empathy, it cannot genuinely suffer with another person—and therefore cannot offer true compassion.  For healthcare and hospice leaders working alongside people experiencing stress, grief, uncertainty, and change, that distinction matters. 

IBM study finds 60% of employees worry AI is eroding critical thinking skills Complete AI Training; 9/21/26 A new IBM study finds that 60% of employees worry AI is eroding their skills, with critical thinking cited most often as declining. The research, released September 21, 2026, surveyed 1,500 CHROs and 8,800 employees globally, revealing a gap between the skills HR leaders say AI demands and what workers prioritize. While 71% of CHROs identify the ability to supervise, validate and override AI outputs as the workforce's most essential skill, only 29% of employees rank judgment as important. At the same time, CHROs cite critical thinking (57%) and human judgment (48%) as among the most important workforce capabilities.

Interoperability’s blind spot: What happens to data after systems retire? HealthData Management; by Shawn Fichter; 9/18/26 As healthcare advances FHIR-based exchange and replaces aging applications, interoperability strategies must account for the historical records left behind—ensuring legacy data remains accessible, secure, governed and usable long after its original system leaves production. ...

Hospice Insights Podcast - Getting ahead of the curve: how hospice providers can build smart AI practices, part 1 JD Supra; by Husch Blackwell LLP; 9/16/26 AI tools are already showing up in hospice operations whether organizations have formal policies for them or not—and the compliance and liability questions are emerging just as quickly. In this two-part series, Husch Blackwell’s Bryan Nowicki and Taylor Crossley break down what the legal exposure looks like across clinical documentation, vendor relationships, and billing, and they take hospice leaders through concrete steps for building AI governance to stay ahead of associated risks.

​Change management: inevitable but tangible Forbes; by Tal Frankfurt; 9/2/26 ​I was talking with a higher education client last week about their new CRM implementation. Everything had gone well technically. Data migrated. Dashboards built. Automations live. Then the president asked the team for a spreadsheet with the same data sitting one click away in the new system. ...  I have watched the same pattern play out hundreds of times since, ... The technology is almost always the easy part. There is very little that modern platforms cannot do or be customized to do. The persistent challenge is getting people to change how they work.

Before you sign that AI contract: 7 questions every healthcare CFO should ask MedCity News; by Purnendu Bala; 8/25/26 Every healthcare CFO’s inbox now has an AI-in-RCM pitch in it. The promises are consistent: lower denial rates, faster collections, leaner overhead. What’s inconsistent is the due diligence behind the decision to buy. Most of these deals are still evaluated like traditional software purchases: features, price, timeline. That framework misses what actually determines whether an AI investment pays off or becomes a costly write-off eighteen months later: data readiness, workforce redesign, and governance exposure that never show up on a vendor’s feature sheet. Before approving a budget for AI in revenue cycle management, CFOs should be asking seven specific questions, and most vendors are hoping they won’t.