Decision Support

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.

The group practice's SVP of digital health reveals how she and her team have created new care models, integrated artificial intelligence-enabled clinical decision support and used other emerging technologies to power better care journeys.

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.

Also, India's Armed Forces Medical Services is creating diagnostic AI models to address foot soldiers' health concerns. 

A look at the current electronic health record landscape from Joncé Smith from Stoltenberg Consulting – with some best practices for new version upgrades, perspective on enhanced functionalities and tips for staff training to optimize workflows.

A new study in JAMA Network Open from MedStar Health shows how the increased integration of virtual care models is exacerbating the electronic health record documentation burden for clinicians.

The clinician-informed data model answers more than 70% of patient questions correctly, reducing the number of routine questions clinicians need to answer so they can focus on more complex patient concerns. The tool also is helping boost health equity for new mothers.

Over the past year, acceptance of generative artificial intelligence has increased quickly, with nearly 70% of physicians now saying they've changed their views and are enthusiastic about its benefits, according to new Wolters Kluwer Health findings.

Also, New Zealand's My Health Record has expanded access to more personal health information.