Artificial intelligence (AI) is quickly becoming part of everyday operations in health and human services. But as OPEN MINDS CEO Monica E. Oss recently pointed out in Sharpening AI’s Blurry Boundaries , widespread use does not mean organizations are prepared to manage AI effectively. Questions about accuracy, cost, privacy, and appropriate use remain, and maximizing…

Artificial intelligence (AI) is quickly becoming another management responsibility for provider organization executive teams. Like other major technology investments, AI requires far more than selecting the right product. Executives must determine where the technology fits organizational strategy, decide what investments deserve priority, assign accountability, manage financial and operational risk, and continually evaluate whether those investments…

Artificial intelligence (AI) has the potential to improve clinical operations, expand capacity, reduce administrative burden, and strengthen access to care. But in health care, successful AI adoption cannot be measured by how quickly an organization implements a new tool. It must be measured by whether that technology improves care without weakening clinical judgment, the therapeutic…

Artificial intelligence (AI) adoption creates new challenges for provider organizations, not only in technology selection but also in operating structure, clinical oversight, and executive management.

The initial business case may be straightforward. An organization wants to reduce documentation burden, improve access, automate administrative work, or strengthen performance. But once AI enters daily operations, executive teams…

News on artificial intelligence (AI) is overwhelming…and conflicting. There is the issue of jobs. American employers announced 97,006 job cuts in May, up 16% from April’s reported 83,387. The technology sector alone reported 38,242 job cuts in May – its highest monthly total since August 2024 – with AI cited as the leading reason (see Challenger…