Artificial Intelligence
Success in AI-driven healthcare, according to Microsoft's Dr. David Rhew, requires clinician upskilling, strong governance and data standardization to ensure that technology supports, not replaces, human clinical judgment.
Dr. Doug Fridsma, former ONC chief science officer and current CMIO at Health Universe, discusses the challenges of AI in healthcare and balancing innovation with privacy, safety and regulation.
The healthcare industry is experiencing a fundamental shift in digital health infrastructure, one that prioritizes interoperability, clinician efficiency and patient-centered care – and where AI and advanced analytics play key roles.
With artificial intelligence, reduced burdens and faster clinical decisions can translate to better outcomes. However, the challenge for providers is in connecting those dots, says Sandra Johnson, senior vice president at CliniComp.
The Australian Digital Health Agency is enabling allied health's access to health data and wider uptake of AI tools and other emerging technologies.
According to Alex Aliper, president of Insilico Medicine, AI platforms can cut early drug development time from five years to 18 months, which will enable the UAE to create and deliver medicines tailored for its population.
The report shows that enterprise AI adoption has surged, with healthcare among the fastest‑growing sectors at 8x year‑over‑year adoption.
Next year, providers within healthcare practices on the company's EHR will be able to choose the new copilot, or any other ambient tool that best suits them, the company says.
It is now extending the emergency department testing of Heidi AI scribe to 12 months after an initial month-long pilot.
As part of the group's digital transformation, it is moving to a single platform for managing workforce, finance, planning, and contracts by January 2026.