Decision Support

AI-enabled care coordination enables patient-specific decision-making at the point of care. Kathy D. Ford, chief product and strategy officer at Project Rōnin, explains.

They will develop scalable AI skin disease diagnostic solutions for hospitals.

It can help free up limited bed spaces and reduce ED pressures.

What's more, data work surrounding the early warning system helped spur physician use of evidence-based order sets to greater than 70% – which greatly reduces overall mortality.

Targeted alerts for specific drugs can help clinicians make the right treatment decisions for their patients, says Anna Dover, director of product management at First Databank, who discusses those and other automation innovations.

The new 'Patient Progression Hub' is a hospital operations control center housing a video wall with customized AI-driven apps and interfaces that monitor and manage patient flows. 

The FHIR-enabled platform supports provider tools that integrate algorithms and machine learning to improve patient diagnoses.

Dr. Patrick McGill, chief transformation officer at Community Health Network, also discusses the value of clinical decision support tools.

Christian Cella, VP for the international segment for clinical effectiveness at Wolters Kluwer Health, says the Middle East is currently the fastest to adopt their portfolio of solutions.

From the impediments of artificial intelligence and its successes to its potential to save healthcare millions, "Where are we going to take it, and how do we drive value?" asked Tom Lawry at HIMSS23.