Industry Insights AI: 09/03/25
This week’s insights focus on recent discussions and findings regarding the potential of AI (artificial intelligence) in improving healthcare services.
Agentic AI: a hot topic in healthcare
Agentic AI was a key discussion topic at the recent HIMSS25 Global Conference & Exhibition – an annual event held by the Healthcare Information and Management Systems Society. Agentic AI refers to autonomous systems that can make independent decisions to achieve goals. In healthcare, these systems may automate routine tasks across electronic health records (EHRs). Health companies like Epic and InterSystems have already begun using this technology for administrative functions, post-surgical follow-up, and patient communication. Speakers of the HIMSS25 conference emphasised the need for human oversight and proper governance when using Agentic AI.
How can AI help with remote patient monitoring (RPM)?
The healthcare industry is facing significant challenges, including patient retention and capacity issues. According to Julia Strandberg, chief business leader for connected care at Philips, hospitals and health systems are struggling to provide high-quality care because of staffing shortages and fragmented data. Handling data via remote patient monitoring (RPM) AI technologies can help overcome some of these challenges. AI-based technologies, such as mobile cardiac telemetry devices, can monitor patients’ cardiac parameters remotely, thus allowing them to return to their homes.
New AI algorithm can help detect sleep disorder preceding dementia
The Mount Sinai research team, led by Dr. Emmanuel During, has developed an AI algorithm to detect REM sleep behaviour disorder (RBD). RBD affects millions worldwide and is often an early sign of Parkinson’s or dementia. It causes abnormal physical movement during REM (rapid eye movement) sleep. This behaviour can be missed or mistaken for other issues, making RBD hard to diagnose with standard methods like self-reporting or sleep questionnaires. The AI algorithm uses infrared cameras to analyse video recordings of sleeping subjects to detect these movements accurately. In a study of 172 video recordings, this approach accurately identified RBD 91.9% of the time. Dr. During believes that the AI algorithm could potentially be used to help prevent Parkinson’s disease or dementia.
Link to study published in the Annals of Neurology
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