Analytics
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.
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.
The goal is not to micromanage individual clinical decisions, but to shape how technology is governed and trusted at scale, says one consulting firm CEO.
An effective, cost-efficient combination of clinical collaboration, telepsychiatry, virtual reality and artificial intelligence-driven knowledge management is improving pediatric mental health service access in rural North Carolina, says Dr. Sy Saeed, ahead of HIMSS26.
Its CEO says healthcare organizations must "mobilize" their electronic health record systems, using AI-enabled platforms to get tangible value from all the data they've been collecting for two decades.
The EHIgnite Challenge antes up $500,000 to help encourage development of new analytics approaches to turning electronic health information into "actionable insights for patient and clinicians."
The new AI to Advance Medicine program is designed to take an academic and practical approach to help students, faculty and staff across the health system use artificial intelligence more judiciously, safely and effectively.