Analytics

Videha Sharma, clinical innovation lead at the University of Manchester, explains the NHS’s plan to expand pharmacogenetics, or how people’s genetic codes influence the effects of drugs, beyond specialist care to general practice.

Dr. Tim O'Connell, cofounder and CEO of Emtelligent, explains how NLP can quickly surface relevant data information buried in patient charts, helping guide clinicians' treatment decisions.  

Using 14 key performance indicators (KPIs), decision-makers receive an overview of surgeon performance. This increased transparency aims to enhance the quality of care and identify potential areas for improvement.

Researchers compare machine learning models to traditional alerts for critically ill adults, while a new real-world GLP-1 data trove incorporates unstructured data. Also, RapidAI earns another FDA clearance for rapid stroke imaging.

Dr. Gauri Puri, chief business officer for healthcare at WNS, a global business process management company, offers a deep dive that can lead IT leaders at hospitals and health systems on the road to digital success.

Trained using more than 100,000 echocardiograms from atrial fibrillation cases, the algorithm has shown its ability to predict which patients could develop irregular heart rhythms within 90 days.

Also: OM1 now offers a platform that translates population patterns for clinical decision-making at the provider level.

The goal is to tackle documentation burden, giving clinicians more time with their patients and decreasing burnout, says the health system's chief clinical officer.

An evidence-driven, app-based tool leverages trending and forecasting data to help multiple sclerosis patients manage their fatigue, says Dr. Guido Giunti, digital therapeutics lead at Trinity College Dublin and 2024 HIMSS Changemaker award winner.  

Targeting the most time-consuming admin work can help boost job satisfaction.