Artificial Intelligence
That's the industry's next test, and what should be the big topic of conversation at HIMSS26, says the health technology lead at Accenture. Every AI deployment should be tied to measurable ops or clinical outcomes, he adds.
Also, the Australian Digital Health Agency has introduced a train-the-trainer toolkit for teaching digital health in universities.
Also, the National Taiwan University Hospital has launched an electronic prescription system with community pharmacy dispensing.
It will capture, structure, and automatically generate patient records and immediate transport summaries.
The platform uses wearable biometric data and clinician-reviewed medical research to provide guidance on menstrual-, pregnancy- and menopause-related health.
Healthcare is investing in AI at 2.2x the rate of the broader economy1, but patient engagement remains underinvested, representing a massive opportunity. Patient engagement encompasses every interaction a patient has with your organization outside the exam room (appointment scheduling, prescription refills, billing questions, and more).
Virginia Halsey, senior vice president of strategy and product management at FDB, discusses the MCP standard and how it can scale AI safely in clinical workflows and unlock safe automation across medication workflows.
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As hospitals manage rising service demand in a complex regulatory landscape, cloud is emerging as the essential enabler of next-generation, AI-driven diagnostics – secure, scalable and ensuring continuity in increasingly interoperable ecosystems.
Whiddon deputy CEO and COO Alyson Jarrett shares plans to explore data analytics, virtual care, and AI after establishing interoperability across 24 nationwide settings.
Terry Rubin, cofounder of The Professional Communicators, joins MobiHealthNews to preview his upcoming HIMSS26 talk where he'll discuss problems that arise when experts focus on everything they know rather than what their audience needs to understand.
