Literature Review

ASTP Rule codifies requirements for TEFCA-Qualified health information networks McDermott Will & Emery, Washington, DC; by James A. Cannatti III, Jennifer S. Geetter, and Nathan Gray; 1/15/25 On December 16, 2024, the US Department of Health and Human Services (HHS) Assistant Secretary for Technology Policy/Office of the NationaTl Coordinator for Health Information Technology (ASTP) published the Health Data, Technology, and Interoperability: Trusted Exchange Framework and Common Agreement (TEFCA) final rule in the Federal Register as part of its continued focus on improving information sharing among healthcare stakeholders. Rather than codifying comprehensive substantive and procedural requirements for entities participating in TEFCA, the final rule provides a flexible framework establishing how such decisions will be made in current and future subregulatory documents. 

16 top data governance tools to know about in 2025 informa - TechTarget; by Craig Stedman and David Weldon; 1/9/25 ... Data governance is the process of creating internal data standards, along with policies that control who can access data and how data is used in business operations and analytics applications. It often incorporates data quality improvement initiatives, as well as master data management (MDM) ones. ... Here's a look at 16 prominent data governance tools, listed in alphabetical order, with summaries of their key features and capabilities. The list was compiled by Informa TechTarget editors based on research of the data governance software market that included the use of market reports and vendor rankings from Forrester Research and Gartner.

Cybersecurity in 2025: Agentic AI to change enterprise security and business operations in year ahead SC Media; by Stephen Weigand; 1/9/25 In 2025, significant advancements in agentic artificial intelligence (AI) systems will drive new AI-based cyber defensives, driving new solutions to help organizations carry out specific goals, making decisions, and taking mitigation action with minimal human intervention. However, as these agentic AI systems become integral to business operations, they will also expose organizations to new risks. Nicole Carignan, VP of strategic cyber AI at Darktrace, highlights that multi-agent AI systems, while offering unparalleled efficiency for complex tasks, will introduce vulnerabilities such as data breaches, prompt injections and data privacy risks.

An AI chatbot outperformed physicians and physicians plus AI in a trial - What does that mean?JAMA; by Yulin Hswen, Rita Rubin; 12/27/24Jonathan Chen, MD, PhD, an assistant professor of medicine, and Ethan Goh, MBBS, MS, a postdoctoral scholar, both at Stanford University, have collaborated for 2 years on studying the integration of human and artificial intelligence to enhance clinical decision-making. They published a randomized clinical trial in JAMA Network Open on October 28 that found that the use of a large language model (LLM) did not significantly enhance physicians’ diagnostic reasoning beyond that of conventional resources. Surprisingly, though, the LLM alone performed better than the physicians did with either the LLM or the conventional resources... In our pilot study, we thought the doctors who had access to the chatbot were going to do way better than the doctors who only had access to the usual internet - UpToDate, PubMed, Google, whatever. Then when we actually did the randomized study, that didn’t turn out to be the case, which is really weird. The chatbot by itself did surprisingly better than all of the doctors, including the doctors that accessed the chatbot. That flew in the face of the fundamental theorem of informatics: human plus computer will deliver better results than either would alone. That sounds so good, right? I’ve been saying it as the last line in my talks for years. I don’t say it anymore because results like these challenge it.Publisher's note: An interesting interview with the authors of JAMA's Large Language Model Influence on Diagnostic Reasoning article, which we ran 11/16/24.

[Italy] Features of the nurse-patient relationship: Insights from a qualitative review using artificial intelligence interpretationCurrent Oncology; Elsa Vitale, Luana Conte, Roberto Lupo, Stefano Botti, Annarita Fanizzi, Raffaella Massafra, Giorgio De Nunzio; 12/24This qualitative literature review explored the intersection of art, creativity, and the nurse-patient relationship in the context of oncology nursing. It delved into the perceptions and reflections of nurses as captured by Generative Artificial Intelligence (GAI) analysis from two specialized nursing databases. The analysis revealed profound considerations regarding the role of nurses in oncology and palliative patient care. Nurses acknowledged the spiritual dimension through religious and spiritual practices, while emphasizing authentic presence and empathic communication. The insights from the GAI interpretation underscored the significance of empathy, creativity, and artistry in nurturing meaningful nurse-patient connections. 

What’s ahead for AI regulation in 2025? Modern Healthcare; by Brock E.W. Turner; 12/24/24 The development of artificial intelligence in healthcare continues to pace ahead of the industry's ability to regulate the technology. Over the past year, large tech firms partnered with providers and digital health companies to implement healthcare-focused AI at speeds rarely found in the industry. But outside of a few states passing specific health AI bills, legislators have not kept up with development leading the industry to regulate itself. Most experts say comprehensive federal policy that would regulate healthcare AI remains unlikely in 2025, but there will be a lot of activity at the state level and through industry groups. 

Recommendations to ensure safety of AI in real-world clinical careJAMA; Dean F. Sittig, PhD; Hardeep Singh, MD, MPH; 11/24As HCOs [health care organizations] adapt their clinical and administrative workflows to new AI [artificial intelligence]-driven technologies, unintended adverse consequences will inevitably occur, particularly during transitions. To address these risks, HCOs and AI/EHR [electronic health record] developers must collaborate to ensure that AI systems are robust, reliable, and transparent. HCOs must proactively develop AI safety assurance programs that leverage shared responsibility principles, implement a multifaceted approach to address AI implementation, monitor AI use, and engage clinicians and patients. Monitoring risks is crucial to maintaining system integrity, prioritizing patient safety, and ensuring data security. 

Beyond the logo: The healthcare executive’s guide to creating genuine healthcare technology partnerships Healthcare IT News; by Notable; 12/23/24 Understanding both the perspective of the healthcare technology buyer and that of builders and sellers can give healthcare executives greater insight into vendor-customer dynamics and what goes into successful partnerships. Healthcare vendor-customer relationships can vary greatly: some are built on trust and some lack it; some succeed and some don’t; some meet expectations and some fall short. Following these best practices can help both parties to achieve their strategic goals, maximize success, minimize frustration and find true joy in their work. 

Mobile app–facilitated collaborative palliative care intervention for critically ill older adults-A randomized clinical trialJAMA Internal Medicine; Christopher E. Cox, MD, MPH; Deepshikha C. Ashana, MD, MBA, MS; Katelyn Dempsey, MPH; Maren K. Olsen, PhD; Alice Parish, MSPH; David Casarett, MD; Kimberly S. Johnson, MD; Krista L. Haines, DO; Colleen Naglee, MD; Jason N. Katz, MD, MHS; Mashael Al-Hegelan, MD, MBA; Isaretta L. Riley, MD, MPH; Sharron L. Docherty, RN, PNP, PhD; 12/24An automated electronic health record–integrated, mobile application–based communication platform that displayed family-reported needs over 7 days, coached ICU attending physicians on addressing needs, and prompted palliative care consultation if needs were not reduced within 3 study days. In this randomized clinical trial, a collaborative, person-centered, ICU-based palliative care intervention had no effect on palliative care needs or psychological distress compared to usual care despite a higher frequency of palliative care consultations and family meetings among intervention participants.

Which skills will survive the AI onslaught? National Association of Corporate Directors (NACD), Arlington, VA; by Vivek Sharma and David C. Edelman; 12/17/24 ... Boards and CEOs are inundated with reports projecting doomsday scenarios of job displacement due to AI. For example, according to the World Economic Forum's The Future of Jobs Report 2020, automation and AI are expected to displace 85 million jobs globally by 2025, especially in industries such as manufacturing, data entry, and customer service due to the repetitive nature and predictable processes of these fields. AI is already disrupting many roles hitherto considered firmly within the human domain. ... Irreplaceable Human Dimensions ... In analyzing a wide range of articles on the topic, when a job scores high along any of the following three dimensions, it creates significant hurdles for displacement by AI:

Navigating the Generative AI journey: A strategic roadmap for healthcare organizations Perficient; by Felix Bradbury; 12/13/24 The healthcare industry stands at a transformative crossroads with generative AI (GenAI) poised to revolutionize care delivery, operational efficiency, and patient outcomes. Recent MIT Technology Review research indicates that while 88% of organizations are using or experimenting with GenAI, healthcare organizations face unique challenges in implementation. Let’s explore a comprehensive approach to successful GenAI adoption in healthcare. ... The journey to GenAI adoption requires careful consideration of three key dimensions: organizational readiness, use case prioritization, and infrastructure capabilities, [Click on the title's link to continue reading.]

Researcher explores using AI to overcome language barriers with patientsJAMA Network; Yulin Hswen, ScD, MPH; Kate Schweitzer; 12/24In the US, 25 million people with language barriers receive worse health care by nearly every standard than those who speak English fluently. In a recent Viewpoint in JAMA, K. Casey Lion, MD, MPH, an associate professor of pediatrics at the University of Washington School of Medicine, listed the poorer-quality outcomes: inferior comprehension, lower adherence, higher costs, and more frequent serious safety events, to name a few. In this study, we want to understand how it performs under real-world conditions because those are the conditions we would be using it in. I would also encourage other health care systems that are thinking about implementing AI for language access to think about talking to and involving their patients and families in the work to be sure that it’s reflecting what our patients and families actually want rather than what we think they want.

Top places to work in IT: 17 health systems rank in 2025 Becker's Health IT; by Laura Dyrda; 12/10/24 Computerworld published a list of the top places to work in IT for 2025, including several prominent health systems. Foundry, the publisher for Computerworld, examined several companies across the size spectrum on their commitment to in-house IT talent, training, technical and soft skills, as well as culture, diversity and satisfaction. The publication reported 79% of companies surveyed increased the number of IT employees in the last three years, and around half plan to continue growing their IT teams next year. The health systems and provider organizations ranked include: