Literature Review

The silent crisis of Gen AI anxiety in the workplace HR Perspectives; by Dr. Gleb Tsipursky; 10/27/25 The conversation about generative AI (Gen AI) is unavoidable in today’s business landscape. It’s disruptive, transformative, and packed with potential—both thrilling and intimidating. As organizations adopt Gen AI to streamline operations, develop products, or enhance customer interactions, the inevitable side effect among employees is anxiety. Will jobs vanish? Will expectations shift overnight? Can they keep up with the learning curve? These questions aren’t just whispers in the break room; they’re front and center for many teams. 

New Joint Commission Guidance on the use of Artificial Intelligence in healthcare The National Law Review; by  Paul R. DeMuro, PhD, Brandon K. von Kriegelstein, Taylor M. Stilwell Katten; 10/28/25 On September 17, 2025, the Joint Commission, in collaboration with the Coalition for Health AI (“CHAI”), issued its first high-level framework on the responsible use of artificial intelligence (“AI”) in healthcare.  The Guidance on the Responsible Use of AI in Healthcare (“Guidance”) is intended to help hospitals and health systems responsibly deploy, govern, and monitor AI tools across organizations.  The goal of the Guidance is to help “…the industry align elements that enhance patient safety by reducing risks associated with AI error and improving administrative, operational, and patient outcomes by leveraging AI’s potential.” ... The seven core elements articulated by the Guidance are:

An AI-powered lifestyle intervention vs human coaching in the Diabetes Prevention Program: A randomized clinical trialJAMA Network; by Nestoras Mathioudakis, Benjamin Lalani, Mohammed S. Abusamaan, Mary Alderfer, Defne Alver, Adrian Dobs, Brian Kane, John McGready, Kristin Riekert, Benjamin Ringham, Aliyah Shehadeh, Eatmata Vandi, Amal A. Wanigatunga, Daniel Zade, Nisa M. Maruthur, for the AI-DPP Study Group; 10/27/25How does referral to a lifestyle intervention exclusively driven by artificial intelligence (AI) compare with referral to a human coach–led Diabetes Prevention Program (DPP) lifestyle intervention? Among adults with prediabetes and overweight or obesity, a fully automated AI-led DPP may be a viable alternative to a DPP led by human coaches.Publisher's note: This article caught my attention because I was certain "human coaching" would out-perform the "AI-powered lifestyle intervention". I was wrong - nearly equal percentages of participants achieved the primary weight loss outcome.

New diligence challenge: Uncovering AI risks and opportunities Bain & Company; by Benjamin Farmer, Gene Rapoport, Richard Lichtenstein, Emmanuel Coque, Amy Wall, and Parker DeRensis; 10/27/25 At a Glance:

Should an AI copy of you help decide if you live or die? Doctors share top concerns of AI surrogates aiding life-or-death decisions. Ars Technica; by Ashley Belanger; 10/20/25 For more than a decade, researchers have wondered whether artificial intelligence could help predict what incapacitated patients might want when doctors must make life-or-death decisions on their behalf. It remains one of the most high-stakes questions in health care AI today. But as AI improves, some experts increasingly see it as inevitable that digital “clones” of patients could one day aid family members, doctors, and ethics boards in making end-of-life decisions that are aligned with a patient’s values and goals.

10 health systems most cited by AIBecker's Health IT; by Giles Bruce; 10/9/25 AI chatbots are increasingly citing health system websites in their answers to healthcare-related questions. But which organizations show up the most in these AI-generated responses? Marketing agency Outcomes Rocket analyzed 5,472 unique citations in August generated by ChatGPT, Google Gemini, Claude and Perplexity. Here is where U.S. health systems ranked among the most popular sources, according to the September report and data shared with Becker’s:

AI is making medical malpractice harder to proveComplete AI Training - Healthcare; 10/14/25 AI is moving deeper into care delivery and hospital operations, from image interpretation to bed management. The upside is real, but so is the legal fog around fault when outcomes are poor. Experts warn that patients may struggle to show where the fault lies if an AI system is involved. For providers, this creates operational and legal risks that demand deliberate planning, documentation, and ongoing oversight. ... What leaders can do now: ...

The 5 leadership skills that AI will never replace (and how you can harness them) Fast Company; by Alexis Zahner; 10/3/25 Artificial Intelligence is here to stay. It’s reshaping industries, expediting innovation, and shifting how we work at unprecedented speed. For many leaders and employees alike, that reality sparks an uneasy question: if AI can do my work, where does that leave me? The answer lies not in competing with AI, but in doubling down on what makes us distinctly, and irreplaceably, human. ... Here are five leadership skills that AI will never replace, and how you can harness them to stay future-ready:

Why 95% of AI rollouts fail and what L&D leaders can do about it Big Think+; 10/7/25 Companies are pouring resources into AI, yet capability gaps hold employees back from using it effectively. ... MIT recently reported that 95 percent of AI projects fail to deliver measurable outcomes. Despite the unprecedented investment, productivity gains are elusive, employee adoption is shaky, and the business case often collapses under scrutiny. How can we surround ourselves with the most powerful technology in human history, spend billions deploying it, and still struggle to prove it makes us better? The answer isn’t hiding in the models or the code. The real story and the real risk are sitting right in front of us. ... If you only push the tech, you’ll be part of the 95 percent of failures. If you only focus on people, you’ll underestimate what’s at stake. Success requires advancing both at the same time, with equal intentionality.

Healthcare AI in the United States — navigating regulatory evolution, market dynamics, and emerging challenges in an era of rapid innovationMondaq; by Jones Walker; 10/7/25... As 2025 progresses, the convergence of technological innovation, regulatory adaptation (or lack thereof), and market shifts has created remarkable opportunities and complex challenges for healthcare providers, technology developers, and federal and state legislators and regulatory bodies alike. The rapid proliferation of AI-enabled medical devices represents perhaps the most visible manifestation of this transformation. With nearly 800 AI- and machine learning (ML)-enabled medical devices authorized for marketing by the US Food and Drug Administration (FDA) in the five-year period ending September 2024, the regulatory apparatus has been forced to adapt traditional frameworks designed for static devices to accommodate dynamic, continuously learning algorithms that evolve after deployment. 

Healthcare AI in the United States — navigating regulatory evolution, market dynamics, and emerging challenges in an era of rapid innovation The National Law Review; by Nadia de la Houssaye, Andrew R. Lee, Jason M. Loring, Graham H. Ryan of Jones  Walker LLP; 10/2/25 The use of artificial intelligence (AI) tools in healthcare continues to evolve at an unprecedented pace, fundamentally reshaping how medical care is delivered, managed, and regulated across the United States. As 2025 progresses, the convergence of technological innovation, regulatory adaptation (or lack thereof), and market shifts has created remarkable opportunities and complex challenges for healthcare providers, technology developers, and federal and state legislators and regulatory bodies alike. ...

Human judgment: The magic ingredient for making AI work across aging services disciplines McKnights Senior Living; by Kimberly Marselas; 9/29/25 From tackling a scabies outbreak in a long-term care facility to scheduling shifts and helping write plans of correction that satisfy regulators, a range of aging services providers are eagerly already putting artificial intelligence to work. But what is it not doing for them? Taking the place of human staff members, their workplace knowledge or their clinical judgment. That was a resounding takeaway of a recent McKnight’s Tech Summit webinar exploring how AI technologies are supporting care teams role by role. 

40 HR executives gathered to discuss today’s biggest challenges: Here is what they said Seramount; by Grace Licsko; 9/26/25 This month, Seramount convened more than 40 CHROs and senior HR leaders for our latest HR Executive Board Roundtable. The event included findings from Seramount’s interviews with 100 CHROs and featured a fireside chat with Jacqui Canney, Chief People and AI Enablement Officer at ServiceNow. Across the day, participants exchanged perspectives on a wide range of priorities, from culture and hybrid work to sustaining employee well-being. But the conversation largely centered around GenAI. Below are some key takeaways and themes from the conversation.