Decision Support

Clinical evidence is always evolving, but traditional clinical process map development and EHR build cycles often take months. In his upcoming HIMSS26 session, one informatics leader will show how to safely speed development to deliver evidence-based care at scale.

APAC healthcare leaders share how they expect AI in healthcare to evolve in 2026, from governance and clinical adoption to real-world impact on patients and health systems.

The region's healthcare leaders outline the key digital health and AI trends they expect will shape clinical care, data use, and innovation in the new year.

Severance Hospital researchers have developed an AI platform that converts paramedic voice reports into clinical records, predicts patient deterioration, and recommends suitable transfer hospitals.

At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots toward safely deploying AI that takes action in complex workflows – pulling data, triaging patients and nudging clinicians.

The government will also fund hospital-based verification programs so AI tools can be tested and validated at scale before clinical rollout.

Also, Yonsei University has received $4 million in state funding to develop AI for automating nursing workflows.

Also, the WA government has invested in a project developing a public hospital AI agent and a system-wide data platform.

The company's CEO Brigham Hyde discusses the rollout of Atropos' AI Evidence Agent, which can help drive evidence-based clinical decisions by giving care teams access to real-time, patient-specific insights during meetings.

Kevin Ritter, EVP for CareInMotion at Altera Digital Health, offers some answers and discusses how to surmount inconsistent, duplicate records that can erode trust and weaken the efficacy of analytics and clinical decision-making.