Decision Support

IEEE Fellow Chenyang Lu shows where artificial intelligence can be deployed clinically to improve patient outcomes – and discusses the challenges and future of AI throughout healthcare.

It has recently announced a $17 million project to develop a clinical decision support system for public emergency departments.

Also, IHH Healthcare is now offering AI-based sleep monitoring solutions.

MITConn Consulting's principal health IT strategist, Dr. Reza Ryan Sadeghian, discusses the GPT apps his team created to help medical students access references and virtual tutoring and to streamline clinical documentation.  

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.