TL;DR Generative AI in healthcare works when it drafts text for a person to sign, and fails when it diagnoses alone. AI note-taking during visits has the best proof so far, saving one medical group an estimated 15,791 hours. Chart summaries, prior authorization letters and coding help come next, each with a named reviewer. Patient replies need review and disclosure,
TL;DR An AI pilot to production move fails most often when teams treat the demo as proof and build outside the daily workflow. They also leave cost and ownership for later, and RAND notes that, by some estimates, more than 80 percent of AI projects fail. The fix is a scored review of seven go/no-go criteria, from business baseline and
TL;DR Zero trust data security means checking every request for data before any data comes back. The check asks who is asking, from what device, and how sensitive the data is. People then get only the data their task needs. Run the checks inside the tool that holds the data, such as Purview labels and DLP for Microsoft or Unity
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