Literature Review

Mayo Clinic gets $50M gift to boost innovation Becker's Health IT; by Naomi Diaz; 6/30/25 Rochester, Minn.-based Mayo Clinic has received a $50 million donation from Florida philanthropists Gilchrist and Amy Berg — a gift dedicated to the health system’s innovation efforts. The money will support Mayo’s Innovation Exchange, a program that helps healthcare startups and entrepreneurs bring new technologies to patients. In recognition of the donation, the program will be renamed the Mayo Clinic Berg Innovation Exchange, according to a June 30 news release. The Innovation Exchange serves as a hub for global collaboration, bringing together experts in AI, digital health, product design and more. It has a footprint on six continents and supports startups working on tools in diagnostics, therapeutics and medical devices, according to Mayo Clinic.

How AI is redefining the nurse’s day Becker's Health IT; by Naomi Diaz; 7/3/25 As generative AI continues to make its way into healthcare, chief nursing informatics officers say the technology’s influence is expanding beyond documentation and reshaping the way nurses work. [Examples described include the following:]

Best Buy sells Current Health to former CEOModern Healthcare; by Caroline Hudson; 6/24/25Current Health cofounder Chris McGhee has reacquired the at-home care company from Best Buy Co. Financial details of the transaction were not disclosed... Tech titan Best Buy announced plans to acquire Current in 2021 for about $400 million, as part of its push into the healthcare market. Current, which was founded in 2015, offers a platform for remote patient-monitoring, telehealth and patient engagement tools. It became an integral part of Best Buy Health’s efforts to expand at-home care services, including hospital-at-home technology... However, cracks in Best Buy’s healthcare strategy began to show months ago.

How AI tools help home health providers dramatically lessen OASIS time burdenHome Health Care News; by Joyce Famakinwa; 6/18/25 As home health leaders continue to identify areas where artificial intelligence (AI) can be most beneficial to their businesses, some are beginning to utilize these tools to reduce the time burden of the Outcome and Assessment Information Set (OASIS). Payment and outcomes are directly impacted by OASIS data collection, making accurate OASIS data collection crucial for home health providers. Yet for many clinicians, OASIS data collection can be a major pain point due to its complexity and time demands. Providers who have turned to AI-powered tools report “dramatic” efficiency gains. Still, experts note that some “fine tuning” remains to be done before the technology reaches its full potential. 

Joint Commission to create guidelines on AI’s use in healthcare Becker's Clinical Leadership; by Eria Carbajal; 6/11/25 The Joint Commission has partnered with the Coalition for Health AI to establish and implement evidence-based guidance on the use of artificial intelligence in healthcare operations. The first set of guidelines and best practices is slated to be released in the fall, according to a June 10 news release shared with Becker’s. The organizations are also developing an AI certification program, which will be available after the initial guidance is published. The guidance will include a “suite of AI playbooks” and tools to support health systems with safe and ethical adoption of AI. The guidance is expected to be used by more than 80% of U.S. healthcare organizations, according to the release. 

7 browser extension rules every organization should follow to stay secure PI - Programming Insider; by Mar Berman; 6/9/25 Browser extensions have become essential for workplace productivity. Yet, they pose serious security risks that many organizations ignore. These small programs can access sensitive data, alter web content, and create openings for cyberattacks. ... This article presents seven important rules for organizations to manage risks effectively. Whether you work in IT or lead a team, these steps keep your network safe and easy to use. ...

10 notable ERP implementation failures and why they failed TechTarget; by George Lawton; 6/4/25 There are a lot of ways ERP systems can fail. Many businesses rush into rolling out new functions without careful consideration of details -- or knowing the common reasons for ERP implementation failure. ... John Belden, chief of strategy and research at Boston-based UpperEdge, an IT negotiations consultancy, commonly sees three key characteristics of these projects that often contribute to ERP implementation failure:

The persons behind our patients - Individualized assessment tools for personalized careJAMA Internal Medicine; by Ruchi Bhatia; 6/2/25In clinical medicine, we rely heavily on bulleted templates to conduct and document care. These templates help capture the complexity of the medical problems we treat... However, the checklists we use often fail to provide a holistic narrative of the patient’s story... Reviewing the details of these checklists during the visit may aid decision-making but limits face-to-face interactions and can distract from understanding the unique person in the patient... Relying exclusively on checklists can unintentionally prevent patients from sharing their personhood and will not elicit complex concerns, such as fears of getting older, dying, or being written off.Publisher's note: Several recent stories we've covered extol the benefits of AI in healthcare; this story articulates some of the risks.

Telehealth use by home health agencies before, during, and after COVID-19 National Institutes of Health, published by Wiley Online Library; by Dana B. Mukamel, Debra Saliba, Heather Ladd, Melissa A. Clark, Michelle L. Rogers, Cheryl Meyer Nelson, Marisa L. Roczen, Dara H. Sorkin, Jacqueline S. Zinn, Peter Huckfeldt; 5/22/25

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:

The government should invest now in healthcare cybersecurity, says HSCC Healthcare IT News / HIMSS Media; by Andrea Fox; 5/20/25 Financially-constrained hospitals and health systems need federal funding and support to augment their cybersecurity workforces, according to a Health Sector Coordinating Council report to HHS. Funding shortfalls and workforce shortage leave small, rural and resource-constrained healthcare providers especially vulnerable to ransomware attacks that disrupt care delivery. That's a reality that cannot be ignored, according to a new report, prepared for the U.S. Department of Health and Human Services, by the Health Sector Coordinating Council's Cybersecurity Working Group. 

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.