Literature Review

4 strategies to build trust in new technologies and drive meaningful change Kyndryl; by Farhaz Thobani; 3/3/25 Four strategies every organization can use to build trust in new technologies and drive successful transformation:

Exploring the role of AI in palliative care and decision-making Penn Today; by Erica Moser; 2/28/25 Oonjee Oh [nursing Ph.D studen] was the lead author on the paper “The ethical dimensions of utilizing Artificial Intelligence in palliative care,” which published in the journal Nursing Ethics in November. ... The paper applies the moral principles of beneficence, nonmaleficence, autonomy, justice, and explicability to examine the ethical dimensions of three hypothetical use cases: machine learning algorithms that predict patient mortality, natural language processing models that capture the signals of psychological distress from clinical notes, and chatbots that provide informational and emotional support to caregivers.

New FDA policies could limit the full value of AI in medicineJAMA Health Forum; Scott Gottlieb, MD; 2/25Some experts within the [AI] field predict that in the next several years, developers may realize artificial general intelligence (AGI)—a revolutionary form of AI capable of understanding, learning, and applying knowledge across various tasks with human-like proficiency. Unlike today’s narrow AI systems that excel at tasks such as image recognition or language translation, AGI can tackle any intellectual challenge a human can, demonstrating a deep comprehension of diverse disciplines. Artificial intelligence tools with advanced analytical capabilities used in clinical practice, especially tools that synthesize complex clinical information from distinct sources, may automatically be classified as medical devices ... [by the US Food and Drug Administration]. This could deny health care clinicians access to AI tools that have the potential to transform the productivity and safety of medical care. 

5 tips to determine how tech can support your physicians American Medical Association (AMA); by Georgia Garvey; 2/25/25 ... Margaret Lozovatsky, MD, vice president of digital health innovations at the AMA, recently shared five important considerations—among them establishing a governance model and agreeing on shared priorities—in designing technology to support clinical practice. Dr. Lozovatsky’s presentation was part of a two-day AMA training event to help physicians eliminate unnecessary work and free up more time to focus on what matters most—patient care. ...

Pursuing equity with artificial intelligence in health careJAMA Health Forum; Kevin B. Johnson, MD, MS; Ivor B. Horn, MD, MPH; Eric Horvitz, MD, PhD; 1/25The National Academy of Medicine defines equitable AI as “applications accompanied by proof of appropriate steps to ensure fair and unbiased development and access to AI-associated benefits and risk mitigation measures.” Health care–providing organizations deploying AI must take responsibility for monitoring and achieving equitable performance. There is much to learn as we face the challenge of understanding how AI applications affect long-standing inequities and discovering the best ways to harness AI to address them. By embedding equity considerations at every stage of AI development and deployment, the US can start to take meaningful steps toward using AI’s growing capabilities to tackle pressing problems in health care. 

New tech, new problems: Why application development needs a big-picture view Software Development Times (SD Times); by Sharul Sangl; 2/19/25... [Many] organizations have approached [technology] innovation without a comprehensive strategy or holistic view of their applications, simply focusing on adding the latest features or trendy tools. As a result, they are facing challenges related to application performance, scalability, efficiency, and security. To ensure the success of application innovation, enterprises must maintain a big-picture view of their applications.  ... When approached strategically, organizations are in a prime position to capitalize on current technologies to truly innovate. ...

20 high-performing healthcare website designs that get results Just Digital; by Just Digital Team; 2/17/25 As healthcare becomes more digital, a well-crafted healthcare website design is essential for serving patients, sharing information, and building trust. It’s often the first point of contact, making usability, clarity, and accessibility non-negotiable. ... The majority of visitors to healthcare websites are searching for information. As a result, these healthcare website designs must be appealing to the eye, user-friendly, and simple to navigate. Our team at Just Digital compiled a list of some of the best healthcare website design inspirations online. [Click on the title's link for website examples and descriptions of design elements "that get results."]

How medtech is meeting the demand for hospital-at-home care Modern Healthcare; by Lauren Dubinsky; 2/13/25 Medtech companies have their eye on the growing hospital-at-home market, which is driven largely by the rising elderly population, the prevalence of chronic diseases and favorable reimbursement policies. There have been hiccups but some of the largest health systems have leaned into providing hospital-level care at home. ... The desire to safely provide care for patients at home is creating a ripe opportunity for companies like Masimo, Cardinal Health, Medline Industries and McKesson, despite some uncertainty. The global home healthcare market was valued at $257 billion in 2023 and is projected to reach nearly $531 billion by 2032, according to a Vantage Market Research report published in September.

It’s inoperable cancer. Should AI make call about what happens next? The Harvard Gazette - Harvard University; by Alvin Powell; 2/10/25AI is already being used in clinics to help analyze imaging data, such as X-rays and scans. But the recent arrival of sophisticated large-language AI models on the scene is forcing consideration of broadening the use of the technology into other areas of patient care. In this edited conversation with the Gazette, Rebecca Weintraub Brendel, director of Harvard Medical School’s Center for Bioethics, looks at end-of-life options and the importance of remembering that just because we can, doesn’t always mean we should. When we talk about artificial intelligence and end-of-life decision-making, what are the important questions at play? ...

'It's not about technology or dashboards': What health systems need from IT execs next Becker's Health IT; by Laura Dyrda; 2/4/25 Health system IT leaders are entering a new era of leadership amid transformational technology platform purchases, artificial intelligence integration and cybersecurity advancements. But being the most technically proficient no longer guarantees leaders the top role. ... Healthcare IT leaders can become distracted by the bells and whistles of new technology and move forward without considering the patient experience. ... Staying close to the health system's mission is critical for IT leaders, and [Christopher Hutchins, senior vice president and chief data and analytics officer at Lifepoint Health] ties the technology back to patient care. He prioritizes his teammates and colleagues, listening carefully to what they need. Notable mentions: James Forrester, Chief Technology Officer at University of Rochester (NY) Medical Center; Donna Roach, CIO of University of Utah Health; and Christopher Hutchins, senior vice president and chief data and analytics officer at Lifepoint Health 

Digital meditation to target employee stress-A randomized clinical trialJAMA Network Open; Rachel M. Radin, PhD; Julie Vacarro, MA; Elena Fromer, BA; Sarah E. Ahmadi, BA; Joanna Y. Guan, BA; Sarah M. Fisher, MS; Sarah D. Pressman, PhD; John F. Hunter, PhD; Kate Sweeny, PhD; A. Janet Tomiyama, PhD; Lauren Tiongco Hofschneider, PhD; Matthew J. Zawadzki, PhD; Larisa Gavrilova, PhD; Elissa S. Epel, PhD; Aric A. Prather, PhD; 1/25Mental health is at an historic low in the US, and work stress may be a primary contributor. Work stress is associated with poorer emotional and physical well-being, as well as high absenteeism and low presenteeism. Participants were randomized 1:1 to a digital meditation program or the waiting list control condition. Participants in the intervention group were instructed to complete 10 minutes of meditation per day for 8 weeks. The findings suggest that participating in a brief digital mindfulness-based program is an effective method for reducing general and work-related stress in employees. 

How to prioritize AI initiatives: A strategic framework for maximizing ROI CIO; Opinion, by Santhosh Gottigere; 1/28/25 ... AI is highly disruptive and rapidly evolving at breakneck speed. Advanced versions of large language models (LLMs) are coming out at regular intervals with improved compute power capabilities. Those LLMs are also achieving the kind of increased accuracy scores on the MMLU benchmark leaderboard that have become synonymous with the version upgrade cycles we are all accustomed to with SaaS product releases like clockwork. ... Developing a clear and comprehensive strategic vision is the starting point of prioritizing AI initiatives with business goals. Answering the question “Why” sets the tone. Will AI — and specifically generative AI (genAI) — assist in your customer experience and retention efforts?  Are you hoping it will open up or drive new lines of revenue? Or is it a “we’re not sure, but we don’t want to be left behind” situation? ... [Click on the title's link to continue reading.]

How innovation is changing [hospital] length of stayHealthLeaders; by Eric Wicklund; 1/23/25 Allina Health is using technology and new ideas to reduce the time a patient spends in the hospital. They're seeing improved outcomes, reduced costs and more capacity to treat patients who need to be hospitalized.  One of the key metrics in clinical care is patient length of stay (LOS), traditionally defined as the time between a patient's admittance and discharge from a hospital. ... New technologies like AI and concepts like remote patient monitoring (RPM) and Hospital at Home are helping healthcare executives gain a better understanding of LOS, and in turn they're reducing costs and improving care management.Editor's note: How do these hospital technologies interesect with and impact your referrals for palliative and hospice referrals? For discharges to home health or senior facilities that receive care from your agency?