Literature Review
All posts tagged with “Technology / Innovations News | IT / EMR.”
Private equity, AI, and the future of end-of-life care | part two
04/06/26 at 03:30 AMPrivate equity, AI, and the future of end-of-life care | part one Teleios Collaborative Network (TCN); podcast hosted by Chris Comeaux with Cordt Kassner; 4/1/26 In this thought-provoking episode, Chris Comeaux and Cordt Kassner unpack some of the most pressing forces shaping the future of end-of-life care—private equity, rising healthcare costs, and the accelerating influence of artificial intelligence. Grounded in real-world stories and industry data, the conversation explores a growing tension between the promise of Hospice as a gold-standard care model and the operational, financial, and expectation gaps that providers and families are increasingly experiencing.
Private equity, AI, and the future of end-of-life care | part one
04/03/26 at 03:00 AMPrivate equity, AI, and the future of end-of-life care | part one Teleios Collaborative Network (TCN); podcast hosted by Chris Comeaux with Cordt Kassner; 4/1/26 In this thought-provoking episode, Chris Comeaux and Cordt Kassner unpack some of the most pressing forces shaping the future of end-of-life care—private equity, rising healthcare costs, and the accelerating influence of artificial intelligence. Grounded in real-world stories and industry data, the conversation explores a growing tension between the promise of Hospice as a gold-standard care model and the operational, financial, and expectation gaps that providers and families are increasingly experiencing.
AI governance is not policy. It is infrastructure.
04/03/26 at 03:00 AMAI governance is not policy. It is infrastructure. Mondaq - Legal500| Intelligence; by Lowenstein Sandler; 3/23/26 If a regulator or litigant asked your organization tomorrow to explain how a specific AI system produced a decision, could you? Most organizations would struggle to answer. Not because they lack policies. Because they lack reliable evidence. AI governance that exists only in documents cannot scale. Real governance lives in systems, pipelines, identity controls, telemetry, and monitoring infrastructure that produce verifiable proof that governance is working.
The corporate brand, culture, and the CISO: Why understanding the business is non-negotiable
04/01/26 at 03:00 AMThe corporate brand, culture, and the CISO: Why understanding the business is non-negotiable Halcyon; by Gary Hayslip; 3/30/26 Over the course of my career as a Chief Information Security Officer, I have come to a conclusion that many of my peers eventually reach, though sometimes the hard way: if you do not understand your company's brand and culture, you will never build a security program that is truly aligned to the business. ... This is not a soft topic. It is foundational. The relationship between corporate brand, internal business culture, and cybersecurity strategy is one of the most underappreciated dynamics in our profession, and I believe it deserves far more attention than it typically receives.
CMS looks to kill the fax machine
03/25/26 at 03:00 AMCMS looks to kill the fax machine McKnights Long-Term Care News; by Kimberly Marselas; 3/23/26 The Centers for Medicare & Medicaid Services is moving forward with a interoperability rule that aims to “eliminate” faxing and replace it with universal electronic healthcare claims and documentation exchanges by mid-2028. ... While it applies to all providers covered by the Health Insurance Portability and Accountability Act, including health plans, the new rule could strike fear among the many nursing homes still reliant on faxing or other manual communication methods for referrals and approvals.
[Portugal] Impact of Artificial Intelligence on the care of terminally ill patients
03/18/26 at 03:00 AM[Portugal] Impact of Artificial Intelligence on the care of terminally ill patients Healthcare (Basel); by Florbela Gonçalves, Margarida Gaudencio, Sofia B Nunes, Francisca Rego, Rui Nunes; 2/27/26 Conclusions: AI-based technologies hold significant potential to address contemporary challenges in PC, including inequitable access, workforce strain, and the need for more efficient service delivery. Nevertheless, their implementation raises substantial ethical concerns related to autonomy, transparency, data governance, and the preservation of human dignity. AI should therefore be understood as a complementary tool that supports-but does not replace-the human dimension of PC.
Leveraging AI, automation, and data analytics in a hospice setting
03/17/26 at 03:00 AMLeveraging AI, automation, and data analytics in a hospice setting HealthTech; by Lindsay Myers; 3/13/26 In the hospice setting, the revenue cycle is not only complex but also uniquely fragile, as billing cannot proceed without complete documentation. The sequential nature of hospice billing, where one month’s claims must be fully processed before the next can begin, means that even minor deficiencies can halt revenue entirely. Small delays or errors upstream can have a profound impact on cash flow. ... To improve this process, the Chapters Health System is developing an AI-driven chart review process to analyze the completeness of clinical and other documentation in real time. The goal is to identify missing or inconsistent elements and route those issues directly to the party that can make corrections ...
AI in hospice: What every leader needs to know | part two
03/16/26 at 12:00 AMAI in hospice: What every leader needs to know | part one Teleios Collaborative Network (TCN); podcast hosted by Chris Comeaux with Ernesto Lopez; 3/11/26 Artificial intelligence is rapidly entering healthcare, but what does it really mean for Hospice leaders? In this episode of TCN Talks/Anatomy of Leadership, host Chris Comeaux sits down with Ernesto Lopez—founder and CEO of 1520 AI and a longtime Hospice executive—to unpack the opportunities, risks, and realities of AI in Hospice. Drawing on his background as a registered nurse, healthcare executive, and Harvard Business School–trained data analyst, Ernesto explains how artificial intelligence is evolving and why Hospice organizations must approach it with both curiosity and caution.
"Black box" artificial intelligence for mortality prediction: a mixed-methods study of palliative care team, patient, and caregiver perspectives
03/13/26 at 03:00 AM"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.
Nursing's moral agency cannot be outsourced to AI, study warns
03/13/26 at 03:00 AMNursing's moral agency cannot be outsourced to AI, study warns Medical Xpress; by University of Pennsylvania School of Nursing; 3/10/26 As artificial intelligence (AI) rapidly integrates into clinical settings—from predicting patient outcomes to deploying humanoid "robotic nurses"—an article published in the Hastings Center Report warns that the core of nursing, its moral agency, must remain a human-driven responsibility. The article, What Does Moral Agency Mean for Nurses in the Era of Artificial Intelligence?, explores the growing tension between advanced algorithmic capabilities and the ethical obligations of the world's most trusted profession. While AI systems can now simulate empathy and generate context-aware responses, Penn Nursing's Connie M. Ulrich, Ph.D., RN, FAAN, the Lillian S. Brunner Chair in Medical and Surgical Nursing, Professor of Nursing, and Professor of Medical Ethics and Health Policy, and her co-authors argue that AI lacks sentience, intentionality, and accountability. The authors define a moral agent as a person capable of discerning right from wrong and being held accountable for their actions.
AI in hospice: What every leader needs to know | part one
03/12/26 at 02:00 AMAI in hospice: What every leader needs to know | part one Teleios Collaborative Network (TCN); podcast hosted by Chris Comeaux with Ernesto Lopez; 3/11/26 Artificial intelligence is rapidly entering healthcare, but what does it really mean for Hospice leaders? In this episode of TCN Talks/Anatomy of Leadership, host Chris Comeaux sits down with Ernesto Lopez—founder and CEO of 1520 AI and a longtime Hospice executive—to unpack the opportunities, risks, and realities of AI in Hospice. Drawing on his background as a registered nurse, healthcare executive, and Harvard Business School–trained data analyst, Ernesto explains how artificial intelligence is evolving and why Hospice organizations must approach it with both curiosity and caution.
Why Baylor Scott & White opted for an access redesign
03/06/26 at 03:00 AMWhy Baylor Scott & White opted for an access redesign Becker's Hospital Review; by Kelly Gooch; 3/2/26 Dallas-based Baylor Scott & White Health, the largest nonprofit health system in Texas, has been undergoing a consumer-focused transformation aimed at expanding access. ... “One thing we heard consistently through all of that is just a need for more access,” Rob Watson, MD, chief clinical operations officer, told Becker’s. “Not just traditional access through what we would consider our large hospitals and clinics, but expanded options like digital and virtual as well as when they had an urgent need or an emergent need, more physical locations as well.”
How compliance technology can improve day-to-day operations
03/05/26 at 03:00 AMHow compliance technology can improve day-to-day operations BusinessABC; by Peyman Khosravani; 2/25/26 ... Compliance technology, compliance software, or regtech, is the use of software and technology to help companies adhere to regulatory, legal, and internal requirements, and the automation of monitoring, reporting, and auditing of compliance. ...
Let's talk about robotics in nursing
03/04/26 at 03:00 AMLet's talk about robotics in nursingHealth Leaders; by G Hatfield; 3/2/26... CNOs who want to incorporate robotics into nursing workflows must focus on adapting care models and staffing to maintain quality and continuity. According to Wills, staffing models may shift towards stronger roles in pre-admission testing, nurse navigation, virtual check-ins, and ambulatory recovery support. "I think CNOs need to think beyond the walls of the hospital, and this means redesigning care models that emphasize preoperative education, care coordination, and postoperative discharge follow-ups," Wills said.Editor's Note: Is this a wave of the future? Typically, hospice organization's join healthcare's technology later rather than sooner. Values of "humanity," "empathy," and "compassion" take precedence. This article is posted for your awareness. What are potential settings? Uses? Pro's and con's? Implications for care with persons experiencing dementia? More questions abound.
From digital transformation to intelligent transformation
03/02/26 at 03:00 AMFrom digital transformation to intelligent transformation CIO; by Rakesh Bhardwaj; 2/25/26 Over the past decade, digital transformation has focused on converting manual processes to digital ones, migrating infrastructure to the cloud, updating applications and creating new channels for customer and employee engagement. These efforts have resulted in tangible benefits such as accelerated cycle times, increased transparency and reduced costs. However, these initiatives have also revealed limitations: Simply digitizing a flawed process does not resolve its underlying issues; it only makes the inefficiencies operate at a faster pace.
The trends—and traps—shaping 2026
02/26/26 at 02:00 AMThe trends—and traps—shaping 2026 JD Supra; by Morgan Lewis; 2/24/26 The global business landscape in 2026 is marked by accelerating political realignments, intensifying regulatory oversight, rapid technological maturation, and shifting market expectations. In this year’s report, our lawyers assess the trends and emerging risk areas that organizations across industries and regions are likely to encounter in 2026 and beyond. Drawing on insights from a dynamic array of developments—from the business repercussions of geopolitical recalibration to the continued expansion of transformative technologies—this compilation delivers a forward-looking perspective designed to support informed strategy and purposeful decision-making for businesses worldwide.
AI in healthcare needs system-level execution, not task automation
02/23/26 at 03:00 AMAI in healthcare needs system-level execution, not task automation Becker's Health IT; by Aditya Bansod; 2/18/26 Healthcare is investing in AI. But most operating models haven’t changed. Health systems have long had more manual work to do than staff to perform it. Now, these health systems are rapidly adopting AI under the promise that it will take on more autonomous work and deliver outcomes at a greater scale than their previous digital initiatives. They’re piloting chatbots, deploying AI phone agents, testing predictive models, and moving clinical documentation to AI assistants. Yet in many organizations, the core operating structure remains reactive. ...
Weaving a unified fabric of care will heal the patient-provider relationship
02/23/26 at 02:00 AMWeaving a unified fabric of care will heal the patient-provider relationship MedCity News; by Sachin K. Gupta; 2/20/26 Healthcare can transform only when strategy, workflow, data, and human connection operate together with a single purpose: strengthen the relationship at the center of care. The healthcare industry is under strain. ... At the core of these problems is the strained patient-clinician relationship. Healthcare is losing the very relationship it was built on. This is one of the prime problems that we need to solve to build a stronger healthcare industry, and AI is the instrument. ... Healthcare can transform only when strategy, workflow, data, and human connection operate together with a single purpose: strengthen the relationship at the center of care.
Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review
02/20/26 at 03:00 AMArtificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review British Medical Journal (BMJ) Supportive & Palliative Care; by Abdullah Alabbasi, Muhanad Alzahrani, Faris Sultan and Mohammed Sayes; 2/18/26 Results: ... Preliminary qualitative work indicates that AI-generated summaries may assist communication among healthcare teams, though concerns persist regarding transparency, bias and over-reliance on algorithms. Conclusions: AI-driven prognostic models show promise in improving risk identification and facilitating earlier engagement with palliative care. Nonetheless, the current evidence base is preliminary. Future research should include prospective trials and strengthened ethical frameworks to ensure that the integration of AI-based prognostic tools into end-of-life decision-making is both safe and equitable.
Factoring in the human side of robotics
02/10/26 at 03:00 AMFactoring in the human side of robotics The Journal of Healthcare Contracting; by R. Dana Barlow... If incorporating robots in supply chain becomes the norm, and many believe it will be the case, then supply chain executives, leaders, managers and professionals must come to grips with any reservations they might have. How to accomplish that depends on the individual and the corporate culture in which he or she serves and works. ... “We’re in healthcare. Continuous improvement and innovation are a big part of the Memorial Hermann culture,” he told The Journal of Healthcare Contracting. “We have our caregivers, physicians, nurses. They’re always looking for new, innovative ways to deliver great patient care. ..."Editor's Notes: Are supply chain executives admonished to "come to grips with any reservations they might have," or should they--do they--listen, learn from, and incorporate valid reservations into their development and use of robotics? I do not assume to have answers--for the sake of delivering "great patient care"--I simply ask the glaring question.
Exploring Artificial Intelligence in hospice and palliative care: An integrative review of technological and clinical approaches
02/06/26 at 03:00 AMExploring Artificial Intelligence in hospice and palliative care: An integrative review of technological and clinical Journal of Palliative Medicine; by Tuzhen Xu, PhD, APRN, FNP-C, Caiyi Liu, PhD, BSN, RN, Lin Li, PhD, Dan Song, PhD, RN, Gloria M. Rose, PhD, NP-C, FNP-BC, and Sen Zhu, PhD; 2/4/26 Conclusions: AI holds potential in enhancing timely, patient-centered palliative and hospice care, supporting prognostication, symptom management, and decision-making. Successful integration requires attention to clinician trust, workflow alignment, equity, and ethical considerations. To maximize its impact on underutilization, future research should focus on multicenter validation, representative datasets, ethical deployment, and seamless integration into clinical practice.
Can AI hear when patients are ready for palliative care? Researchers use AI to analyze patient phone calls for vocal cues predicting palliative care acceptance
02/05/26 at 03:00 AMCan AI hear when patients are ready for palliative care? Researchers use AI to analyze patient phone calls for vocal cues predicting palliative care acceptance Penn LDI - Leonard Davis Institute of Health Economics; by Hoag Levins; 2/24/26 A new study suggests artificial intelligence (AI) may help clinicians identify which seriously ill patients are ready for palliative care — by analyzing the energy, pitch, and other subtle vocal cues in recorded group phone conversations among patients, caregivers, and health care providers. The new work by a team led by LDI Senior Fellow and Penn Nursing School Assistant Professor Jiyoun Song, PhD, APRN, is the first to use speech processing to identify palliative care preferences during discussions and decision-making in managed long-term care (MLTC), a type of Medicaid-managed care for community-dwelling patients that need home and community-based services.
Generative artificial intelligence in palliative care: A comparative evaluation of ChatGPT-4o and ChatGPT-5 as clinical decision support tools
02/04/26 at 03:00 AMGenerative artificial intelligence in palliative care: A comparative evaluation of ChatGPT-4o and ChatGPT-5 as clinical decision support tools Digital Health; by Emre Vuraloglu, Kervansaray; 1/29/26 Conclusions: ChatGPT-5 demonstrated measurable improvements over ChatGPT-4o in key domains of palliative care symptom management, while maintaining consistently high ethical sensitivity. These findings provide the first systematic evidence of the potential of generative AI, with the updated ChatGPT-5 model released in August 2025, as a complementary and reliable clinical decision support tool in palliative care.
Reimagining hospice with agentic and generative AI
01/12/26 at 02:00 AMReimagining Hospice with Agentic and Generative AI1520ai press release; by Ernesto Lopez; 1/8/26...Agentic AI moves beyond task automation. It introduces systems that can reason over time, track evolving conditions, and coordinate actions across clinical, operational, and compliance domains. In a hospice setting, this means AI can move from being a documentation assistant to functioning as a continuous support layer. An agentic system can review clinical documentation as it is created, recognize patterns that suggest risk or change in trajectory, and surface insights proactively. It can coordinate care activities, prompt timely follow-up, and support consistency across interdisciplinary teams.Publisher's Note: An interesting article introducing AI terminology from a hospice perspective.
Automated lymph node and extranodal extension assessment improves risk stratification in oropharyngeal carcinoma
01/10/26 at 03:30 AMAutomated lymph node and extranodal extension assessment improves risk stratification in oropharyngeal carcinomaJournal of Clinical Oncology; by Zezhong Ye, Reza Mojahed-Yazdi, Anna Zapaishchykova, Divyanshu Tak, Maryam Mahootiha, Juan Carlos Climent Pardo, John Zielke, Benjamin H. Kann; 12/25Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be diagnosed via surgical pathology. We applied an automated artificial intelligence (AI) imaging platform integrating lymph node autosegmentation with ENE prediction to determine the prognostic value of the number of predicted ENE nodes... Automated, AI-ENE node number is a novel risk factor for OPC that may better inform pretreatment risk stratification and decision-making.Publisher's Note: An interesting, and apparently effective, use of AI in prognostication.
