Literature Review

Ardent Health's first CDIO, a nurse, on the value of 'human-centric' technology Healthcare IT News; by Bill Siwicki; 4/23/25 Anika Gardenhire, RN, chief digital and information officer at the 30-hospital health system, is working to improve the provider and patient experience with ambient listening, augmented intelligence and more. Nashville-based Ardent Health includes 30 hospitals and more than 280 sites of care in six states, including Idaho, Kansas, New Jersey, New Mexico, Oklahoma and Texas. ... 

7 challenges of AI integration in healthcare and their remedies informa - TechTarget and Informa; by John Moore; 4/16/25 The healthcare sector faces many hurdles when adopting AI. Obstacles include setting an AI strategy, dealing with fragmented data, and addressing ethics, security and compliance. The integration of artificial intelligence in healthcare has been long coming, dating back to at least the 1980s, when expert systems were touted as a potential diagnostic tool. ... Top challenges of AI in healthcare:

One last game: student builds virtual reality experience for hospice patients Clemson News; by Sam Cannon; 4/15/25 At Clemson, a dedication to innovating health care and fostering wellness means more than just training the next generation of doctors and nurses. For Class of 2025 student Rob Martin, it has meant curating meaningful moments for members of his community. ... [Rob] joined the Tandem VR™ team, a concept invented by Olivia McAnirlin, Virtual Reality and Nature Lab co-director at Clemson, which helps people connect to past experiences and complete “bucket lists” with their loved ones. As part of this project, local hospice care patients were asked what they would want the chance to experience one more time before they pass. When the overwhelming response from patients was a Clemson football game, a research team of undergraduate and graduate students, practitioners and faculty got to work.

The future of management is hybrid: Leading human-AI teams in a new era of work Holtz Communication + Technology; by Shel Holtz; 4/12/25 ... Consider healthcare, where an AI agent will draft post-visit follow-up patient care plans, schedule check-ins, send reminders, and flag unusual symptoms in post-visit surveys for review. The human nurse practitioner will review and personalize the follow-up plan, contact patients in need of emotional support or clarification, and make clinical decisions about concerns the AI has flagged. ... Healthcare managers will have to align clinical protocols with AI-generated outputs, ensure HIPAA compliance (in the U.S.), and train staff to interpret and override AI recommendations when necessary. ... With less busy work, managers should be able to to focus on those aspects of managing that require a human touch, shifting to leading and mentoring, employing soft skills over hard skills, as shown in this chart: [Management Task/Skill | AI-AGents - Strength | Human Managers - Strength]

Prospects for artificial intelligence in health policy and practiceJAMA Health Forum; John Z. Ayanian, MD, MPP; Zirui Song, MD, PhD; 3/25Solving complex diagnostic challenges is a natural application of AI [artificial intelligence] in health care and a compelling way to benchmark its capabilities. The more extraordinary test of AI will be its ability to unravel the ordinary—the everyday needs and struggles faced by patients and clinicians. Which words and what tone should a clinician use to motivate a patient to smoke less, exercise more, or adhere to medications? In these routine, imperfect moments, when the science of medicine morphs into an art of trust, and that art is an inherently human endeavor of caring, how could AI help clinicians choose the words, body language, and tone to deliver better care? The mystery no longer resides in putting together puzzle pieces of data, but rather in piecing together emotions, intuition, and tradeoffs. Improved chronic disease management, more efficient use of societal resources, and better quality of life are among the potential pots of gold at the end of the AI rainbow.  

Seeking human empathy, health insurers turn to AI Modern Healthcare; by Nona Tepper; 3/27/25 When Florida Blue wanted its call center employees to demonstrate greater emotional intelligence when dealing with customers, the nonprofit health insurance company enlisted a tutor incapable of emotion. A generative artificial intelligence, or genAI, chatbot instructs 30 Florida Blue customer service representatives on how to behave like human beings when interacting with other human beings. The chatbot guides workers on human behaviors, such as when to slow their speech, when to hasten a call to its conclusion and what to recommend to policyholders. The company plans to expand this pilot program to its entire 1,600-person call center team this year. [Continue reading ... access may be limited]Editor's note: Is this backwards? What happened to human kindness? Courtesy and core respect? I am a lifelong lover of new technologies. Still, I am surprised at this seemingly-backwards twist. For whatever works, may we learn and grow in "[behaving] like human beings when interacting with other human beings."

Opportunities and barriers to artificial intelligence adoption in palliative/hospice care for underrepresented groups: A technology acceptance model-based review Journal of Hospice & Palliative Nursing; by Tuzhen Xu and Gloria M Rose; 4/2/25 Underrepresented groups (URGs) in the United States, including African Americans, Latino/Hispanic Americans, Asian Pacific Islanders, and Native Americans, face significant barriers to accessing hospice and palliative care. ... Findings suggest that AI has the potential to improve decision-making, enhance timely palliative care referrals, and bridge language and cultural gaps. Artificial intelligence tools were found to improve predictive accuracy, support serious illness communication, and assist in addressing language barriers, thus promoting equitable care for URGs. However, barriers such as limited generalizability, biases in data, and challenges in infrastructure were noted, hindering the full adoption of AI in hospice settings. Artificial intelligence has transformative potential to improve hospice care for URGs by enhancing cultural sensitivity, improving communication, and enabling more timely interventions. However, to fully realize its potential, AI solutions must address data biases, infrastructure limitations, and cultural nuances. Future research should prioritize developing culturally competent AI tools that are transparent, explainable, and scalable to ensure equitable access to hospice and palliative care services for all populations. [Continue reading ...]

Bill Gates AI jobs: 3 roles that will surviveArchynewsy; 3/30/25...  Despite the potential for widespread automation, Gates identifies three key areas where human expertise will remain indispensable: creative work, those requiring high levels of emotional intelligence, and skilled trades. These professions share a common thread – they rely on uniquely human capabilities that AI currently struggles to replicate. ... Gates predicts substantial changes in sectors like healthcare and education, with AI potentially handling many diagnostic and instructional duties currently fulfilled by doctors and teachers. ... [Continue reading ...]

Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6-month mortality and improve end-of-life outcomes for advanced cancer patientsCancer Medicine; Nithya Krishnamurthy, Melanie Besculides, Ksenia Gorbenko, Melissa Mazor, Marsha Augustin, Jose Morillo, Marcos Vargas, Cardinale B. Smith; 3/25There are significant disparities in outcomes at the end-of-life (EOL) for minoritized patients with advanced cancer, with most dying without a documented serious illness conversation (SIC). This study aims to assess clinician perceptions of the utility and challenges of implementing a machine learning [ML] model (ALERT) to predict 6-month mortality among patients with advanced solid cancers to prompt timely SIC. Our study found that clinicians expressed widespread acceptability of ALERT and identified clear benefits, particularly in triggering earlier SIC and standardizing prognosis discussions across care teams. [Additionally,] a recent study found that ML prognostic models decreased use of aggressive chemotherapy at EOL and increased SIC frequency fourfold.

Ethics in patient preferences for artificial intelligence–drafted responses to electronic messagesJAMA Network Open; Joanna S. Cavalier, MD; Benjamin A. Goldstein, PhD; Vardit Ravitsky, PhD; Jean-Christophe Bélisle-Pipon, PhD; Armando Bedoya, MD, MMCi; Jennifer Maddocks, PT, MMCi; Sam Klotman, MPH; Matthew Roman, PT, MHA, MMCi; Jessica Sperling, PhD; Chun Xu, MB; Eric G. Poon, MD, MPH; Anand Chowdhury, MD, MMCi; 3/25The rise of electronic communication sent to clinicians via the patient portal has directly led to clinician burnout and dissatisfaction. With patients increasingly messaging their clinicians, replying to in-basket messages (akin to email) has become a burdensome task consisting of medical questions, refill requests, and administrative and scheduling requests. This survey study of 1,455 respondents showed that while overall satisfaction was high (>75%) regardless of author, respondents preferred responses written by AI [artificial intelligence] over those written by a human ... However, when an AI author was disclosed, satisfaction was lower for AI compared with a human author ... Meaning: Reduced satisfaction due to AI disclosure should be balanced with the importance of patient autonomy and empowerment.

Digital Transformation 101: A handy primerHealthcare IT News; by Bill Siwicki; 3/21/25 Robert Slepin, chief digital officer at SE Health and an emeritus CIO adviser at Epic, describes the key aspects of digital transformation that provider organizations need to understand, primary technologies involved and how to best organize the effort. Healthcare IT News sat down with him to discuss aspects of digital transformation efforts that provider organizations don't quite have a firm grasp on to begin with, the primary technologies involved in digital transformation, how to organize such a comprehensive effort as digital transformation, and his transformation effort at SE Health. [Continue reading ...]

[Germany] Web-based educational tools and decision aids for patients with advanced cancer: A systematic reviewPatient Education and Counseling; Phoebe Ullrich, Henrike Voß, Laura Unsöld, Michael Thomas, Matthias Villalobos; 2/25In advanced cancer care, patient involvement in decision-making is complex. Web-based solutions are promising because of easy accessibility and dissemination and the ability to adapt information to patients' needs and new treatment developments. Still, only a few evidence-based web-based educational tools and decision aids are available. Filling this gap is essential to empower patients to make informed and goal-concordant treatment decisions.