Artificial Intelligence

Lessons learned from the HIMSS23 Machine Learning & AI for Healthcare Forum, as told by David Metcalf, director of METIL at the UCF Institute for Simulation & Training.

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.

That's just one of the findings from new Accenture research showing how the algorithms behind apps like ChatGPT could fundamentally transform healthcare processes and clinical workflows.

The startup plans to use AI-backed retinal imaging to find early signs of disease based on tech from Australian company Eyetelligence.

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

Urban Health Plan tested eClinicalWorks' healow prediction algorithm and increased its show rate for the patients most likely to miss their appointments by 154% with targeted interventions.

The movement to a modern infrastructure means rethinking business processes to allow more time for clinical care, says Rich Birhanzel of Accenture.

Key findings from the 2022 healthcare cybersecurity study, including a decline in ransomware attacks and continuing workforce challenges, are discussed by Lee Kim, senior principal of cybersecurity and privacy at HIMSS.

In pursuit of more accurate and equitable AI models, the health system is broadening the distributed network to include de-identified datasets in Brazil, Israel and Canada.