Artificial Intelligence
AI & ML Intelligence
Artificial intelligence can help infusion centers lower patient wait times and reduce staff overtime, while supporting growth, says Ashely Joseph, vice president of infusion centers client services at LeanTaaS.
Dr. Howard Strasberg, Wolters Kluwer’s VP of informatics and an HL7 CDS working group chair, said the HIMSS24 session he is co-presenting will discuss a variety of FHIR-based standards, CDS Hooks and other tools that can help bring AI into workflows.
AI & ML Intelligence
Automation is helping staff save time and reducing the potential for keyboard errors, its CIDO says. Artificial intelligence is also enhancing medication history data for 81% of all available home medications so patient records contain fewer gaps.
ECRI, the patient safety organization, has published its annual list of the 10 health technology hazards it's watching in 2024.
Further guidance is needed to protect patients from "sycophantic" genAI documentation outputs that influence medical decisions, and researchers are asking the FDA "to clarify its oversight before summarization becomes a part of routine patient care."
Amazon Web Services has concerns around AI use in healthcare and regulating the technology. But it can show the benefits of AI/ML in helping life sciences firms with drug development. Dr. Jared Saul, chief medical officer at AWS, discusses the issues.
AI & ML Intelligence
There's too little focus on governance, patient preferences and workforce needs among leaders seeking to implement generative AI, according to a new Deloitte survey of 60 healthcare executives.
Despite the hype, this buzzing AI will still have to prove its worth for Asia's cautious hospitals, says one health tech vendor.
AI & ML Intelligence
The models developed by Stanford Medicine Children’s Health have been so effective that Epic has incorporated a similar guardrail into its own system, extending the impact of Stanford's work to teens worldwide.
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United Arab Emirates’ federal health system significantly reduced documentation time and thus clinician frustration by deploying a reliable, accurate speech-recognition solution.