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Digital Health & Ai Innovation summit 2026
APE 2026

Tag: Healthcare Systems

AHA Wins a Temporary Block on the 340B Rebate Model Program

A federal judge in Maine has gone on to temporarily block the Department of Health and Human Services from executing a pilot project for...

Maimonides Health Merger with NYC Health + Hospitals Soon

Maimonides Health, which is Brooklyn, New York-based, is going ahead and merging along with the public health system of New York, NYC Health + Hospitals, the...

Real-Time Data Analytics from Connected Devices

Learn how continuous data streams from connected healthcare devices are transforming clinical practice through real-time analytics and actionable insights. Discover how clinicians leverage this continuous information flow to make timely decisions, enable preventive interventions, and personalize patient care based on comprehensive, current health data.

Wearable Sensors Driving Preventive Healthcare

Discover how advanced wearable sensor technology enables continuous health monitoring and early detection of warning signals. Learn how these devices empower both healthy individuals and at-risk populations to adopt proactive wellness approaches while supporting clinicians in preventive interventions before conditions become serious.

Utilizing Real-World Evidence to Improve Trial Outcomes

Real-world evidence represents clinical data collected outside traditional controlled trial environments, derived from sources including electronic health records, insurance claims databases, disease registries, wearable devices, and patient-reported outcomes.

Remote and Decentralized Clinical Research Solutions

Decentralized clinical trials are fundamentally transforming the pharmaceutical research landscape by replacing traditional site-centric study models with remote, patient-centric approaches where participants engage with research activities from their homes or nearby healthcare facilities.

Leveraging AI for Safer Clinical Decisions

Artificial intelligence is fundamentally transforming clinical practice by equipping healthcare professionals with advanced decision-support tools that analyze complex patient data, identify risk patterns, and recommend evidence-based treatment pathways with unprecedented accuracy.

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