Literature Review

Empathetic AI policy example: A framework for the human impact on AI Solutions Review; by Tim King; 5/30/25 ... Empathetic AI is our organizational pledge to place people at the center of our AI strategy. It means prioritizing the dignity of work, the stability of our workforce, and the fair treatment of all individuals impacted by automated systems. It means actively supporting those whose roles may be transformed or displaced and investing in their future through retraining, redeployment, and transparent communication. Our core principles are as follows:

Empathy meets efficiency: Voice AI in law, healthcare and debt collection Forbes; by Kumar Abhirup; 5/29/25 When a grieving daughter calls a probate firm at midnight or a worried parent rings a pediatric clinic after hours, the first voice they meet decides whether they stay or stray. As organizations adopt AI, especially voice and conversational AI, that voice is increasingly synthetic. A recent survey from the American Bar Association found that the share of firms using AI tools rose from 11% in 2023 to 30% in early 2025. Healthcare has sprinted even faster: The American Medical Association found 66% of physicians now use some form of AI, up from 37% two years earlier. Collections agencies are also hopping aboard this trend ... 

Trend Report: Artificial Intelligence In Health CareHealth Affairs; 5/25/25For our first Insider trend report, we explore the ways that artificial intelligence could impact the health care landscape. The report highlights:

6 ways to successfully implement clinical communication tools Forbes; by Judit Sharon; 5/19/25 In the high-stakes environment of healthcare, communication breakdowns can have life-or-death consequences. Yet too often, hospitals and healthcare systems assume that simply deploying new clinical communication and collaboration (CC&C) tools will solve the problem. The reality is more complex: Successful implementation depends just as much on operational alignment, cultural change and thoughtful execution as it does on the technology itself. To turn communication tools into real transformation, here are six ways to drive successful CC&C adoption.

How to put together your AI Dream Team Forbes; by Megan Poinski; 5/15/25 What are front-runners [with AI] doing differently? Accenture found they have five imperatives in common. They’re prioritizing AI innovation and growth over cost reduction—with C-suite leaders agreeing on the reasons behind it and how to measure the outcomes. They’re reinventing talent and ways of working, hiring employees who can do more with AI and upskilling existing staff, and giving them more opportunities to learn on the job by experimenting with it. They’re building an AI-enabled digital core, ensuring that their core systems and data are all designed with current and future AI use in mind. They’re using AI responsibly, focusing on governance for its use and risk assessments for both security issues and impacts on the workforce. And they’re also continuously reinventing their strategies and goals, creating a change-management framework that can shift with the way tools are employed, actual results, and changes in technology capabilities and the larger business environment.  

Doctors told him he was going to die. Then A.I. saved his life.New York Times; by Kate Morgan; 3/20/25Scientists are using machine learning to find new treatments among thousands of old medicines... The handful of success stories so far have led researchers to ask the question: How many other cures are hiding in plain sight?... The first time Dr. Fajgenbaum [University of Pennsylvania] repurposed a drug, it was in an attempt to save his own life... “Essentially we ran a query that said, ‘Show us every proposed treatment there has ever been in the history of medicine for nausea,’” said Matt Might, a professor at University of Alabama at Birmingham...Publisher's note: While slightly dated, this is an interesting application of AI in medicine and provoked me to consider "what are other ways AI could be used in hospice?" Accessing this article may require a subscription.

AI tool uses face photos to estimate biological age and predict cancer outcomes Mass General Brigham - Technology & Innovation - Research; by Hugo Alerts, Ray Mak, Dennis Bontempi, Osbert Zalay, Danielle S. Bitterman, Fridolin Haugg, Jack M. Qian, Hannah Roberts, Subha Perni, Vasco Prudente, Suraj Pai, Christian Guthier, Tracy Balboni, Laura Warren, Monica Krishan, and Benjamin H. Kann; 5/8/25 Mass General Brigham findings suggest FaceAge tool could provide objective data to help inform treatment decisions in cancer care and other chronic diseases. Eyes may be the window to the soul, but a person’s biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm called FaceAge that uses a photo of a person’s face to predict biological age and survival outcomes for patients with cancer. They found that patients with cancer, on average, had a higher FaceAge than those without and appeared about five years older than their chronological age. Older FaceAge predictions were associated with worse overall survival outcomes across multiple cancer types. They also found that FaceAge outperformed clinicians in predicting short-term life expectancies of patients receiving palliative radiotherapy. Their results are published in The Lancet Digital Health.Editor's note: This summary article is published by the main source, Mass General Brigham. Various articles are being written about this new use of AI.

Hospice AIA Hospice & Palliative Care Today compilation; 5/5/25We've seen several recent articles discussing the benefits of additional AI integration into hospice services.

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. ... 

Using technology to improve matching drug details in hospice care Patient Safety & Quality Healthcare (PSQH); by Matt Phillion; 4/17/25 For Wise Hospice Options, prescribers had been spending an average of 15 seconds matching each flagged drug and 20 seconds per drug entering missing sig, or label, details. Recently, they incorporated clinical-grade AI from DrFirst into automating this process, enabling those same providers to spend two to three seconds per drug, with fewer medications flagged for manual review by pill icons. ... The AI implementation allowed Wise to standardize data from different systems into a workflow that allows clinicians to see complete information before ordering prescriptions, helping avoid delays and reduce errors. Clinicians continue to review medication information for accuracy and adjust based on discussions with the patient but require fewer clicks and keystrokes so they can make faster, more informed decisions. ... Why the impact on hospice is key: The first thing to consider, Faubion explains, is that when it comes to hospice patients, they are going to be on a lot of medications. ...

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.