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Decision Support

By Andrea Fox | 11:52 am | August 29, 2023
The large language model's performance was steady across both primary and emergency care, and for all medical specialties, but struggled with differential diagnoses, according to new research by Mass General Brigham.
By Adam Ang | 05:48 am | August 25, 2023
Also, The Clinician's ZEDOC platform is being tried out to facilitate digital tinnitus care.
By Adam Ang | 05:29 am | August 25, 2023
Also, Hong Kong is pushing innovation to further digitise public health.
By Adam Ang | 07:51 am | August 21, 2023
It is one of the projects developed using its latest supercomputing infrastructure, Prescience.
By Andrea Fox | 05:01 pm | August 16, 2023
The developer's Viz HCM algorithm can be used to assess electrocardiograms. When findings are suspicious of hypertrophic cardiomyopathy, the app alerts cardiology specialists to provide further triage.
By Bill Siwicki | 12:05 pm | August 14, 2023
Administrative burden is a huge challenge, and technology often exacerbates it. But is there a better way forward? IT is underleveraged as a way to help clinicians spend more time with their patients, says one expert.
By HIMSS TV | 06:00 am | August 14, 2023
There are problems prescribers face with drug-related clinical decision support alerts – but IT can help, and maybe AI, too. Anna Dover, director of product management at FDB, formerly First Databank, provides some answers.
By Adam Ang | 11:25 pm | August 10, 2023
Also, doll-shaped robots have been deployed to solo-living seniors in rural South Korea.
By Bill Siwicki | 12:46 pm | August 08, 2023
That said, despite its current limitations – it will never replace "empathy, listening, respect, personal preference" – it's clear artificial intelligence is leading to fundamental changes in care delivery, says the IT innovator, who predicts "doctors and nurses who use AI will replace doctors and nurses who don't."
By HIMSS TV | 11:47 am | August 08, 2023
The Mayo Clinic Platform president sees huge potential for artificial intelligence and machine learning, but also recognizes its risks and limitations. The longtime health IT pioneer offers insights into the projects and use cases he's most excited about. 

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