Literature Review

Press Ganey to be sold to Qualtrics in $6.75B deal Modern Healthcare; by Gabriel Perna; 10/6/25 Press Ganey Forsta, which provides patient surveys and engagement tools for hospitals, is set to be sold to data company Qualtrics in $6.75 billion deal. The companies on Monday announced the deal, which is subject to customary closing conditions. Qualtrics plans to use a combination of cash and equity to pay for Press Ganey. Qualtrics, which is owned by private equity firm Silver Lake, creates software to help companies across multiple sectors receive feedback from their employees and customers. The company said in a news release that acquiring Press Ganey will bolster its offerings to healthcare companies while giving it more data to train its artificial intelligence models.

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. 

Best use of emerging tech in health systems from 50 leaders Becker's Hospital Review; by Scott King; 9/25/25 Emerging technologies have greatly improved efficiency at most health systems. Over 50 healthcare leaders spoke with Becker’s about their best uses of tech in the past year. ... As part of an ongoing series, Becker’s is connecting with healthcare leaders who will speak at the event to get their perspectives on key issues in the industry. ... Question: What’s your system’s best use of tech in the past year, and why?

Medicare cuts & tech gaps drive home health nurse exodus Access Newswire - Regulatory; by Black Book Survey; 9/16/25 Black Book Research today released 2025 survey findings from U.S. home health executives, finance leaders, and clinical directors showing that technology inefficiencies are a primary driver of nurse attrition. Respondents also warn that proposed Medicare home health payment reductions totaling 6.4% over 2026-2027 will intensify workforce pressure unless agencies can invest in modern IT.Key 2025 Survey Findings (U.S. Home Health & Hospice):

The next phase in virtual nursing Becker's Health IT; by Ella Jeffries; 9/9/25 The face of a nurse now appears on a television screen in hundreds of rooms at Jackson, Mich.-based Henry Ford Jackson Hospital. From a command center down the hall, the nurse conducts safety checks, reviews charts and helps patients prepare for discharge — all without ever crossing the threshold. This new model, known as virtual nursing, is not a futuristic experiment so much as a response to an immediate crisis. Michigan is already short as many as 20,000 registered nurses, according to Eric Wallis, DNP, RN, chief nursing officer of Detroit-based Henry Ford Health, and the average nurse in the state is older than 50.

The hidden crisis in serious illness care and how we fix itMedCityNews; by Dr. Mihir Kamdar; 9/7/25 Every year, millions of Americans with serious illnesses find themselves caught in a dangerous limbo: not sick enough to qualify for hospice, but far too ill to be served by our traditional healthcare system. The result is care that’s expensive, fragmented, and often traumatic. These patients are shuffled between a revolving door of emergency rooms and ICUs, enduring a cascade of aggressive interventions that don’t match their goals or improve their quality of life. This approach not only undermines quality, it drives healthcare spending through the roof, particularly in the last year of life. This is the hidden crisis in serious illness care. And it’s getting worse. At the root of the problem is what many in the field call the “hospice cliff.” ...

How to estimate your EHR implementation cost: Factors that impact your budget Joyrulez; by RickD32; 8/14/25 Implementing an EHR (Electronic Health Record) system is one of the most significant investments a healthcare organization can make. Beyond the obvious benefits of digital recordkeeping—such as improved patient care, streamlined workflows, and regulatory compliance—the financial implications of EHR implementation are considerable. Understanding the factors that influence costs is essential for accurate budgeting and successful project execution. This guide will break down the key considerations, providing insights into an ehr implementation cost breakdown, the roles involved, and hidden expenses that organizations often overlook.

Hospice patients using virtual reality to fulfill final wishes WRDW-12 / WAGT-26 On Your Side News, Augusta, GA; by Staff; 8/7/25Patients at Crescent Hospice in Augusta are using virtual reality headsets to fulfill their last wishes. The headsets allow patients to experience new things before the end of their lives. The hospice aid and community liaison used one of the headsets and spoke about how one of the patients got to experience mardi gras through VR before he died.

AI Code of Conduct for Health and Medicine presented in new NAM special publication National Academies - Sciences, Engineering, Medicine, Washington, DC; News Release; 5/19/25 A new special publication from the National Academy of Medicine (NAM) provides a framework to guide responsible, effective, equitable, and human-centered use of artificial intelligence (AI) in health and medicine. The development and deployment of AI in health are accelerating, and the promise for transformative gains is substantial. Yet without close attention to risks posed by these technologies, the possibility exists for unintended, potentially harmful consequences, the publication says. The AI Code of Conduct framework is intended as a touchstone for organizations and groups developing approaches for use in their specific contexts. The publication presents six commitments and 10 principles to align the field around responsible development and application of AI. 

Hollywood Home Health, Hospice, and Palliative Care to harness Artificial Intelligence to enhance home health delivery HomeHealthProvider.com; 7/15/25Hollywood Home Health, Hospice, and Palliative Care ... announced today its strategic investment in artificial intelligence (AI) to enhance operational efficiency and improve clinical outcomes. ... The AI platform will integrate with existing electronic health records (EHRs), billing systems, and care coordination software, helping nurses and therapists access real-time insights, prioritize urgent needs, and reduce documentation time. In the office, AI will assist with scheduling optimization, patient eligibility verification, and compliance reporting - areas known to slow down response times and overburden staff.

Combining clinical insight and data-driven expertise: The case for morning huddles in primary care HEAL Security; by Becky Trotter and Aliya Ali; 7/1/25 The daily huddle, also called a morning huddle, is a brief standup meeting commonly associated with inpatient and surgical care. In these settings, safety is the predominant focus of the meeting. However, the same idea can be used in primary care settings to get care teams ready for the patients scheduled for that day. Morning huddles are an opportunity to merge clinical knowledge with data and analytics to help ensure primary care teams are aligned and specific care needs are recognized before patients walk into the practice. Editor's Note: Is this practice so new? Back in the 1990's at Hospice & Palliative Care of Louisville, each morning began with going through my hospice voicemail box for our well-oiled system of receiving and replying to voicemails for the whole team or individual members, from on-call staff, from leaders from throughout our organization, or other voicemails. These first-thing-in-the-morning communication/tech "huddles" were so crucial then--and are important today (with better tech and data)--because our patients often die during the night. Or, a new patient must be assessed. Or, the patient was transferred from home to an inpatient unit. Or, you know the common, literally life-changing needs. Is your hospice behind the times or leading the way with today's clinical communications and data?

Evaluating a large language model in translating patient instructions to Spanish using a standardized frameworkJAMA Pediatrics; Mondira Ray, MD, MBI; Daniel J. Kats, MD, MBI; Joss Moorkens, PhD; Dinesh Rai, MD; Nate Shaar, BA; Diane Quinones, MS, RN, CPNP; Alejandro Vermeulen, BFA, CMI; Camila M. Mateo, MD, MPH; Ryan C. L. Brewster, MD; Alisa Khan, MD, MPH; Benjamin Rader, PhD; John S. Brownstein, PhD; Jonathan D. Hron, MD; 7/25Patients and caregivers who use languages other than English in the US encounter barriers to accessing language-concordant written instructions after clinical visits. Large language models (LLMs), such as OpenAI’s GPT-4o ... can translate Spanish translations of real-world personalized written patient instructions that are comparable in quality to those generated by professional human translators. Independent professional medical translators preferred the GPT-4o–generated translations over the human translations, and error analysis revealed a higher rate of mistranslation errors in the human translations. These findings demonstrate GPT-4o’s ability to produce quality translations in Spanish ...