Literature Review

Readers write: When CIOs need to be in the room with patient engagement technology in new construction projects HIStalk - Healthcare IT News & Opinion; by Brad Storm; 5/18/26 Installing equipment may seem like the end goal at the start of a new construction project. But there’s so much more involved, especially when it comes to patient engagement technology for your new facility. As an IT professional, you need to be in the room during four key steps of the process.

DeVry HR chief says companies are failing at AI because they focus on technology and ignore people Complete AI Training; 5/16/26 Companies are pouring money into AI and getting little back - not because the tools fail, but because workers lack guidance on how to use them. ...

Why artificial intelligence displacement threatens medical specialties MedPageToday's KevinMD.com; by H. Michael Boulton, MD; 5/3/26 Diagnostic radiology, as a physician-staffed specialty, will not exist in its current form within 20 years. Neither will diagnostic pathology. Neither, in all likelihood, will the outpatient model of endocrinology or general internal medicine as we currently understand it. These are not fringe predictions from technologists who have never set foot in a hospital; they are the logical endpoint of capability curves that are already clearly in motion, ... I know that will make a lot of my colleagues uncomfortable. I get it. But I would argue the real problem is not the prediction; it is that we keep avoiding the conversation.

Are you ready for AI security threats? Time to actHarvard Business School; by Hise O. Gibson; 4/1/26AI is accelerating cyberattacks, and most leaders aren't ready. Hise Gibson explains why traditional risk prevention strategies aren't enough and offers a practical playbook for preparing for the next breach.Publisher's note: Thank you Ernesto Lopez for highlighting this article for us.

Health systems add IT leadership roles Becker's Hospital Review; by Naomi Diaz; 4/24/26 Hospitals and health systems are adding new executive positions to address the growing demands of artificial intelligence governance, cybersecurity and data management. Many of the roles being created are inaugural appointments, reflecting a shift in how organizations are structuring technology leadership. From chief digital officers to AI strategy leads, hospitals are redefining their IT structures to enhance cybersecurity, data management and innovation. Here are new IT roles hospitals and health systems have added to their C-suites since March 17: ...

Hospices’ top questions about AI Hospice News; by Jim Parker; 4/17/26 ... Hospices nationwide are implementing AI solutions to build efficiency and improve workflows, as well as aid in clinical decision making and documentation. ... AI is leading the pack in terms of hospice technology investments in 2026. About 36% of hospice leader respondents to Hospice News’ 2026 Outlook Survey indicated that predictive analytics and AI systems will be their top tech investments this year. This was followed by electronic health records at 30% and patient engagement tools at 11%.

81,000 people shared their dreams for AI. Here’s what HR leaders owe them HR Executive; by Jill Barth; 4/7/26 Over one week, 80,508 people across 159 countries and 70 languages described what they actually want from this technology. The result is what Anthropic is calling the largest qualitative study ever conducted, and the picture it paints of how workers experience AI is both more personal and more urgent than most HR leaders have been led to believe. ... One healthcare worker described receiving 100 to 150 messages a day from doctors and nurses, most of which required documentation. “Since implementing AI, the pressure of documentation has been lifted,” the respondent said. “I have more patience with nurses, more time to explain things to family members.”

U.S. AI boom could cause health care costs to soar without changes to payment policy Penn LDI - Leonard Davis Institute of Health Economics; by Julia Hinckley, JD; 4/8/26 ... AI is already affecting health care delivery, and the choices policymakers make about payment will define its future trajectory, says LDI Senior Fellow Amol Navathe. AI is already more scalable and varied in its actions than human services. But without policies that create financial incentives to improve care, we risk driving up costs without improved outcomes or stifling innovation, writes Navathe in a recent perspective piece in Health Affairs.

Most companies use AI but lack training to help employees work with it effectively Complete AI Training; 4/1/26 72% of U.S. companies now use AI, but 55% lack the training to deploy it well. The gap between adoption and capability has become the defining challenge for 2025 strategy. ... Gusto research found that when employees lack approved AI tools, more than half find alternatives and use them anyway. This creates security risks, fragmented efforts, and frustration for leadership.

AI is coming for admin jobs, CFOs sayBecker's Hospital Review; by Andrew Cass; 3/24/26 Artificial intelligence is expected to disproportionately affect routine, clerical and administrative roles, while having a limited near-term impact on overall employment, The Wall Street Journal reported March 24.  The Journal cited findings from a working paper recently published on the National Bureau of Economic Research website. The study, produced with economists from the Federal Reserve Banks of Atlanta and Richmond, surveyed about 750 CFOs across multiple industries between late 2025 and early 2026. Five things to know: ...

When using AI leads to “brain fry”Harvard Business Review; by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes, Gabriella Rosen Kellerman; 3/5/26A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout... Firms are incentivizing employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance. Meta, for one, includes the number of lines of code generated by AI as a performance metric for engineers. As enterprises use more multi-agent systems, employees find themselves toggling between more tools. Contrary to the promise of having more time to focus on meaningful work, juggling and multitasking can become the definitive features of working with AI... The literature is filled with mixed signals on the relationship between AI and worker burnout. (Burnout is as a state of chronic workplace stress consisting of exhaustion, negative feelings about work, and decreased effectiveness on the job.) Some studies suggest that using AI to replace tiring tasks alleviates exhaustion; other studies, sometimes on the same populations, show AI use worsening burnout outcomes... This highlights the subtle-but-important distinction between the types of stress that AI can alleviate, and those that it may worsen. Our findings are both a guide and a warning.

‘Shadow AI’ continues to lurk in healthcare settingsHealthcare Brew; by Patrick Kulp; 2/19/26A recent survey found close to a fifth of workers admitted to using unapproved tools. At a time when tech companies want to make AI tools as standard-issue as stethoscopes, the technology is seemingly everywhere in the healthcare industry. But some of its use still remains in the shadows, so to speak—ungoverned by workplaces and rife with security and patient safety risks, experts said. This so-called “shadow AI” remains problematic, according to a recent survey from professional software provider Wolters Kluwer: Nearly a fifth (17%) of more than 500 healthcare workers admitted to tapping unauthorized AI in the workplace. And two in five said they’d encountered such a tool but didn’t use it.

"Black box" artificial intelligence for mortality prediction: a mixed- methods study of palliative care team, patient, and caregiver perspectives Annals of Palliative Medicine; by Beatrice Bridge, Ahmed Y Alasmar, Lauren Gunn-Sandell, Regina M Fink, Stacy M Fischer, Elizabeth Juarez-Colunga, Eric G Campbell, Matthew DeCamp; 2/26/26 Background: New artificial intelligence (AI)-based mortality prediction algorithms could support both patients' prognostic awareness and person-centered palliative care. ... Results: Among 53 interviewees, 18 expressed only concern about black box AI-based prognostication, 17 expressed only unconcern, and 18 interviewees expressed mixed sentiments. Reasons for concern related to: data transparency, mistrust of machines or their creators, patient-clinician communication, bias, and accuracy. Reasons for unconcern related to: inexplicability not unique to AI, greater accuracy, not using AI in isolation, trust in science, and being evidence-based. Notably, "accuracy" and "trust" appeared in both.