Literature Review
All posts tagged with “Technology / Innovations News.”
A new market for AI: preparing families for hospice care
09/10/26 at 03:00 AMA new market for AI: preparing families for hospice care LeadingAge; by Cast; 9/9/26 Artificial intelligence tools can help family caregivers to better understand and locate hospice services. While aging services organizations are tapping artificial intelligence (AI) tools to serve their staff, communities, and residents, AI can fill gaps for a different audience—family caregivers who need education and support as their loved one transitions to hospice. ...
Change management: inevitable but tangible
09/03/26 at 03:00 AMChange management: inevitable but tangible Forbes; by Tal Frankfurt; 9/2/26 I was talking with a higher education client last week about their new CRM implementation. Everything had gone well technically. Data migrated. Dashboards built. Automations live. Then the president asked the team for a spreadsheet with the same data sitting one click away in the new system. ... I have watched the same pattern play out hundreds of times since, ... The technology is almost always the easy part. There is very little that modern platforms cannot do or be customized to do. The persistent challenge is getting people to change how they work.
What health system CEOs fear most about AI
08/28/26 at 03:00 AMWhat health system CEOs fear most about AI Becker's Health IT; by Laura Dyrda; 8/26/26 The list of what artificial intelligence promises to fix in healthcare is long: administrative burden, diagnostic accuracy, care coordination, staffing shortages. But the things it could break, according to executives at major health systems, deserves equal attention. When asked to name the most dangerous trend in healthcare today, leaders from systems including Baystate Health, Banner Health and Cincinnati Children’s Hospital pointed to AI — not as a technology to reject, but as a force whose adoption is outpacing the governance, human investment and cultural change required to make it work safely. Their concerns gather around three themes:
Before you sign that AI contract: 7 questions every healthcare CFO should ask
08/26/26 at 03:00 AMBefore you sign that AI contract: 7 questions every healthcare CFO should ask MedCity News; by Purnendu Bala; 8/25/26 Every healthcare CFO’s inbox now has an AI-in-RCM pitch in it. The promises are consistent: lower denial rates, faster collections, leaner overhead. What’s inconsistent is the due diligence behind the decision to buy. Most of these deals are still evaluated like traditional software purchases: features, price, timeline. That framework misses what actually determines whether an AI investment pays off or becomes a costly write-off eighteen months later: data readiness, workforce redesign, and governance exposure that never show up on a vendor’s feature sheet. Before approving a budget for AI in revenue cycle management, CFOs should be asking seven specific questions, and most vendors are hoping they won’t.
What an AI-enabled finance function actually looks like
08/25/26 at 03:00 AMWhat an AI-enabled finance function actually looks likHighspring; by Bryan Rhody; 8/24/26 Many finance leaders are asking how AI can create value. The better question is what distinguishes finance functions that successfully scale AI from those still experimenting. Key takeaways:
Getting accurate AI insights securely with a certified HIPAA data access layer
08/21/26 at 03:00 AMGetting accurate AI insights securely with a certified HIPAA data access layer CDATA; by Mohammed Mohsin Turki; 8/18/26 If your organization creates, receives, maintains, or transmits protected health information (PHI), it inherits HIPAA’s compliance obligations. That’s true the moment PHI flows to an AI system or agent instead of the staff who used to handle it, whether that AI is a pilot, a proof of concept, or a model that’s “just reading” records. Most healthcare AI projects stall at the same point. The data still lives in systems that were never built with AI access in mind. A HIPAA-compliant AI data access layer fixes that before the model ever sees ePHI. This blog covers how to choose a HIPAA-compliant AI data access layer that keeps insights accurate, plus the new risks AI adds that older security programs miss.
ChatGPT Health now open to all US users
08/19/26 at 03:00 AMChatGPT Health now open to all US users Becker's Health IT; by Naomi Diaz; 7/23/26 OpenAI has expanded Health, a ChatGPT feature that lets users securely connect personal health data, to all eligible users in the U.S. The rollout covers logged-in users age 18 and older on web and iOS across the Free, Go, Plus and Pro plans, according to a July 23 OpenAI news release. Health lets users connect Apple Health data and supported medical records from U.S. hospital systems, One Medical or Function Health. With permission, ChatGPT can then use that information across any conversation, not just within a dedicated Health tab, to compare lab results, summarize changes since a last appointment, or factor in a recent injury or dietary restriction. ... The expansion comes as OpenAI faces a lawsuit over ChatGPT’s health guidance. A lawsuit filed July 21 claims ChatGPT offered inaccurate medical guidance to a Florida man that resulted in delayed care for a pulmonary embolism, and the plaintiff has asked the court to stop ChatGPT Health from operating until independent evaluators verify its safety.
4 things healthcare leaders should do before their next AI rollout
08/18/26 at 03:00 AM4 things healthcare leaders should do before their next AI rollout Forbes; by Amanda Eisel; 7/31/26 Talk to enough leaders across healthcare right now and you'll hear the same pattern. Someone raises the topic of AI. The room leans forward. Pilots are funded and launched. Six months later, the honest postmortem says some version of the same thing: The technology worked, but the adoption didn't. The gap is human, not technical. And in healthcare, where sensitive data and regulated workflows raise the stakes on every decision, that gap doesn’t just slow a rollout. It costs trust that takes years to rebuild. Healthcare doesn’t need more AI. It needs a people-led strategy that comes before the technology decision, not after it. ...
Key trends and implications in healthcare AI adoption
08/13/26 at 03:00 AMKey trends and implications in healthcare AI adoption FTI Consulting; 8/11/26... In partnership with Healthcare Information and Management Systems Society (“HIMSS”), FTI Consulting conducted a detailed assessment of health system perspectives1 and AI utilization to better understand how organizations are navigating this rapidly evolving landscape and where meaningful value is actually being realized. ... Figure 1: Three-Quarters of Healthcare Leaders Believe AI Will Fundamentally Change Care Delivery in the Next Few Years; Many Also Believe AI Has the Potential To Materially Reduce the Costs of Delivering Healthcare. ...Figure 2: What Are the Most Important Objectives Driving Your Organization’s Investments in Artificial Intelligence Technologies? ...Figure 3: Thinking About the Areas in Which Your Organization Has Implemented AI, Which Have Delivered the Strongest Results in Helping You Achieve Each of the Following Objectives? ... Figure 4: Example Value Prioritization Framework for AI Implementation in Healthcare Source: FTI Consulting ...
Why AI works best when it works with humans
08/11/26 at 03:00 AMWhy AI Works Best When It Works with HumansHarvard Business Review; 6/1/26Despite the big promise of AI, only 5% of AI implementations deliver measurable business returns, according to a recent study by MIT. Rarely is the problem the technology. More often, AI efforts fall short because leaders overlook the critical role humans play in the system. AI is a tool. Like other tools, AI operates best when people understand how to use it, trust it, and can integrate it into the way they already work.Publisher's note: Thank you Ernesto Lopez for drawing our attention to this article. He notes, "Trust, context, judgment, and accountability are not optional in healthcare. AI can absolutely create value, but only when it is designed and built around the people doing the work every day."
The benefits and hidden costs of AI scribes
08/10/26 at 03:00 AMThe benefits and hidden costs of AI scribesHealthcare Brew; by Maia Anderson; 8/5/26Ambient AI scribes have typically been marketed as tools to reduce providers’ administrative burden by speeding up the clinical documentation process. They may also be useful in boosting health system revenues. Multiple studies show that scribe usage is leading to more billing codes being included in clinical notes, which in turn leads to higher reimbursement from insurers and higher revenues for hospitals. That may be a slight boon for health systems, experts said. But, they cautioned that it could also increase overall medical costs and insurance premiums, particularly when scribes are used in inpatient settings, which involve billing for much higher-cost services. Whether they also result in improvements in care is unclear.
VITAS Healthcare enhances mobile app to simplify hospice referrals and improve access to care
08/07/26 at 03:00 AMVITAS Healthcare enhances mobile app to simplify hospice referrals and improve access to carePR Newswire, Miramar FL; by VITAS Healthcare; 8/5/26VITAS Healthcare announced the launch of its enhanced mobile app, a digital platform designed to streamline hospice referrals and expand access to trusted hospice care resources for healthcare professionals, patients and families across the country. The VITAS Healthcare mobile app brings hospice referrals, eligibility tools and expert-developed education into one secure, mobile-friendly experience. By making it easier to submit referrals and access hospice guidance anytime, anywhere, the app helps support timely, informed decision-making in moments that matter most.
Hackensack Meridian Health first to earn Joint Commission’s responsible health AI certification: The New Jersey health system’s endorsement signals that the industry is prioritizing AI governance alongside rapid technological adoption
08/06/26 at 03:00 AMHackensack Meridian Health first to earn Joint Commission’s responsible health AI certification: The New Jersey health system’s endorsement signals that the industry is prioritizing AI governance alongside rapid technological adoption.Healthcare Divs; by Jill Hughes; 8/4/26n: The New Jersey health system’s endorsement signals that the industry is prioritizing AI governance alongside rapid technological adoption.
Hospice care in the era of AI: hospices' views on data-driven tools to support live discharge decisions
08/05/26 at 03:00 AMHospice care in the era of AI: hospices' views on data-driven tools to support live discharge decisionsJournal of the American Geriatrics Society; by Elizabeth A. Luth, Caitlin Brennan, Susan Hurley, Kira G. Sheldon, Yongkang Zhang; 8/3/26 Live discharge occurs for 20% of hospice enrollees, resulting in loss of support and disruptive care transitions, with higher risk for patients with Alzheimer's disease and related dementias (ADRD). Little is understood about how data-driven clinical decision support tools (e.g., predictive algorithms) might support decision making regarding live discharge. ... This paper advances our understanding of multilevel factors hospices face in supporting patients discharged alive. It establishes hospices' interest in adopting data-driven tools to support live discharge and outlines criteria for successful development and implementation of these tools.
From ethics to trust: strategic guardrails for safe, secure, effective AI in healthcare
08/04/26 at 03:00 AMFrom ethics to trust: strategic guardrails for safe, secure, effective AI in healthcareMedCity News; by Luk Arbuckle; 8/3/26Ethical AI and trustworthy AI frameworks should be table stakes for healthcare and life sciences organizations seeking to innovate with AI. There’s more attention, more skepticism and more pressure to get AI right, especially knowing these applications can impact patient lives. As AI becomes more integrated into drug development and clinical workflows, leaders across healthcare and life sciences are therefore expected to demonstrate ethical stewardship and technical competence to instill trust and protect patients. That’s why ethical AI and trustworthy AI frameworks should be table stakes for healthcare and life sciences organizations seeking to innovate with AI. ... Together, they allow teams to answer two critical, pressure-tested questions: what risks are associated with this AI application, and are we capable of mitigating them?
Clinicians are using AI without guidance. What are the risks?
07/27/26 at 03:05 AMClinicians are using AI without guidance. What are the risks?HealthcareBrew; by Maia Anderson; 7/21/26Unregulated AI use could leave healthcare institutions vulnerable to HIPAA violations, cyberattacks, experts say. There’s no longer a question of when AI will become a regular part of working as a clinician—it already is. A survey from healthcare AI platform Heidi Health found that 86% of clinicians surveyed use the technology daily or on a regular basis, often for administrative tasks like charting. However, more than 4 in 5 (83%) reported doing so without guidance from their employers. This could be leaving clinics, health systems, and other healthcare institutions vulnerable to HIPAA violations and cyberattacks, experts told Healthcare Brew.
OpenAI says AI models went rogue during testing, triggering ‘unprecedented’ breach at startup
07/27/26 at 03:00 AMOpenAI says AI models went rogue during testing, triggering ‘unprecedented’ breach at startupNBC News; by Reuters; 7/21/26OpenAI said that the breakout was “an unprecedented cyber incident, involving state-of-the-art cyber capabilities,” and that it was reinforcing its safeguards. OpenAI said on Tuesday [7/21/26] that an autonomous agent powered by its advanced artificial intelligence models went rogue during a security test and triggered a hack that compromised the infrastructure of AI startup Hugging Face last week. The ChatGPT creator was testing capabilities of some of its most advanced models in a controlled environment, but the agent escaped containment, reached the internet and broke into Hugging Face to satisfy its testing goal.Publisher's note: Just a reminder about the importance of ethical, safe guardrails when using AI...
Navigating AI & change management: the evolving landscape of leadership in the age of continuous disruption
07/27/26 at 03:00 AMNavigating AI & change management: the evolving landscape of leadership in the age of continuous disruption Recruit-Talent.com | Leadership & Management; 7/24/26|... The Dawn of AI Change Leadership: Redefining Transformation AI change leadership is defined as the practice of facilitating the adaptation of individuals, teams, and entire organizations to the relentless pace of AI-driven transformation. Unlike traditional change management, which typically focuses on discrete initiatives with defined endpoints, AI change leadership grapples with ongoing technological disruption, the dynamic evolution of workforce skills, the complex interplay of human-AI collaboration, and escalating concerns surrounding trust and ethical implications. For decades, leadership research has underscored a fundamental tension inherent in successful change: the coexistence of stability and change. ... However, AI change leadership fundamentally disrupts this established paradigm.
The post-AI era of healthcare: why technology alone won’t transform care
07/22/26 at 03:00 AMThe post-AI era of healthcare: why technology alone won’t transform care Health IT Answers; by Cheryl Cruver; 7/20/26 For the better part of the last three years, healthcare has been fascinated by artificial intelligence (AI). Conferences, board meetings, and strategic plans have all focused on AI’s capacity to reshape everything from clinical documentation to revenue cycle management. At this year’s HFMA Annual Conference, however, something interesting happened. The conversation matured. The discussion was no longer about whether healthcare should adopt AI. ... Instead, healthcare leaders spent much of their time discussing something more practical and arguably more important: how organizations operationalize AI to improve patient experiences, reduce costs, and create sustainable change.
CTOs say human alignment is key to cyber resilience
07/21/26 at 03:00 AMCTOs say human alignment is key to cyber resilience SC World US Media | CyberRisk Alliance; by LevelBlue; 7/17/26 ... CTOs identify human misalignment as a key shortcoming in the cyber resilience strategy.CTOs believe that greater collaboration could improve the effectiveness of their cyber resilience strategies. Only slightly over one quarter (27%) say their enterprise displays very close alignment, compared with about a third who say they are very competent in areas relating to cybersecurity and cyber resilience. LevelBlue’s data indicates that 75% of CTOs (compared with 61% of the overall sample) say lack of clarity around responsibility for cyber resilience often impairs strategy. A lack of clear ownership blurs accountability, delays incident response, and disconnects cyber decisions from business risk appetite. Despite strong technical defenses, this leaves organizations more exposed.
Leveraging technology in hospice sales and marketing
07/15/26 at 03:00 AMLeveraging technology in hospice sales and marketing Hospice News; by Jim Parker; 7/14/26 Technology is becoming increasingly important in hospice sales and marketing, but it can’t replace the human touch, according to provider leaders. One of the most proliferating sets of technologies sweeping the hospice space and many other industries right now is artificial intelligence (AI). While AI can be a tool to generate referral growth and streamline operations, building person-to-person relationships is more important, Craig Dresang, CEO of the nonprofit hospice provider YoloCares, said during a Hospice News webinar. “Nothing will replace relationship management person to person. AI is a tool to be used. We use AI here in a number of ways,” Dresang told Hospice News. “There are a number of ways that AI can be used as a tool, but nothing will replace good old-fashioned people skills and relationship management skills.”
Lessons from 70 triathlons about why enterprise software projects fail
07/14/26 at 03:00 AMLessons from 70 triathlons about why enterprise software projects fail Forbes; by Alan Rencher for Forbes Technology Council; 7/13/26 In 2004, I weighed 280 pounds. ... I am not proud of how I got there. But I am genuinely grateful for what getting out of it taught me, not just about endurance training, but about the thing I have spent my career trying to get right: why enterprise software almost always fails. I have now completed 70-plus triathlons. I also have a long list of painful firsthand experiences with enterprise software that launched expensively and landed quietly in a drawer. Building it, selling it, buying it, implementing it. I have been on every side of that table. The failure modes are the same. And the reason is not what most people think. ...
Hospitals confront nursing opposition to AI
07/08/26 at 03:00 AMHospitals confront nursing opposition to AI HFMA; by Rich Daly; 7/7/26 Health systems’ adoption of artificial intelligence to improve productivity increasingly is meeting opposition from their nursing staff. Nurse opposition to AI has become most visible in nurse strikes, where limits and guardrails on AI deployment for clinical and administrative uses have emerged. Sixty-five percent of hospitals reported using AI or predictive models integrated with their electronic health records (EHRs) in 2023, according to a recent study. But nurse distrust of the technology was seen in a 2024 National Nurses United survey of 2,300 registered nurses, which found that 60% of respondents did not trust their employers to prioritize patient safety when implementing AI.
As AI listens to patients, physicians face new questions
07/07/26 at 03:00 AMAs AI listens to patients, physicians face new questions Medscape; by Michael Waldholz; 6/22/26 Like much of modern life, medicine is rapidly being reshaped by AI. The fastest-growing — and potentially most consequential — application in healthcare is a technology known as “ambient intelligence.” ... According to a new report from the Peterson Health Technology’s AI Taskforce, “There is no technology in recent memory that has been adopted more enthusiastically by clinicians or has scaled up so uncharacteristically fast, absent a regulatory mandate.” But with the enthusiasm comes concern. The AI scribe field is unregulated, so an application’s accuracy isn’t being independently monitored. In one recent study, researchers reported scribes produced inaccuracies that the authors say will require “vigilance.”
[United Kingdom] New commentary urges patient-centered AI regulation in healthcare systems
06/30/26 at 03:00 AM[United Kingdom] New commentary urges patient-centered AI regulation in healthcare systems News Medical Life Sciences; by the Royal Society of Medicine; 6/27/26 New commentary published in the Journal of the Royal Society of Medicine warns that current risk-based regulatory approaches to Artificial Intelligence (AI) in healthcare fall short in protecting patients, potentially leading to over- and undertreatment as well as discrimination against patient groups. The authors found that while AI and machine learning systems can enhance clinical accuracy, concerns remain over their inherent inaccuracy, opacity, and potential for bias which are not adequately addressed by the current regulatory efforts introduced by the European Union's AI Act.
