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Medicomp Systems' CEO adds that the challenge for HIMSS26 attendees in 2026 is harnessing AI-enabled efficiency while preserving clinical integrity. That balance will define the next phase of AI maturity in healthcare, he says.
AI & ML Intelligence
In 2026, healthcare will embrace the model context protocol, deploy better documentation tools that boost reimbursement and patient outcomes, and adopt smaller, domain-specific AI models, one CEO says.
The U.S. Department of Health and Human Services is said to be encouraging the use of generative artificial intelligence across the department and has provided login access to OpenAI's large language model tool.
The U.S. Department of Health and Human Services seeks to expand its enforcement actions and is encouraging patients and health IT developers to report providers and other organizations that stifle the exchange of electronic health information.
A new reasoning model quantifies how often large language models elaborate on false clinical details fed to them. Prompt mitigation quelled some hallucination frequency, but the AI behind clinical bots may still pose risks, researchers said.
While some say the executive order is too broad, others hope that by streamlining approvals and setting development standards it will "accelerate AI adoption in healthcare at a time when the industry has never needed it more."
AI & ML Intelligence
"Even if these systems are right 80% of the time, that still means they're wrong 20% of the time," says tech CMO Dr. Jay Anders, who describes the risks of artificial intelligence errors and outlines some protection strategies for providers.
In a HIMSS25 interview, a consultant specializing in the Electronic Medical Record Adoption Model walks through the process and discusses plans for the hospital to hit Stage 7.
Dr Apichai Chaiyaroj, assistant director of BNH Hospital, shares how they had all doctors entering inpatient and outpatient records electronically.
A new form of AI-powered fraud is posing risks to healthcare bottom lines. Medicomp CEO David Lareau describes what it is, how to fight it – and how to help cautious executives concerned with the double-edged sword of artificial intelligence.
