Quality and Safety

With artificial intelligence evolving at rapid speed, Dr. Sonya Makhni, medical director of Mayo Clinic Platform Solutions, discusses promising use cases, deployment challenges, algorithmic integrity, patient safety and more.

At the HIMSS23 opening keynote discussion, artificial intelligence innovators debated about how to weigh the "tremendous opportunities" for healthcare algorithms with the "risks – some of which we may not yet know about."

Sonya Makhni, medical director of the Mayo Clinic Platform, discusses a model that brings the disparate pieces of a fractured healthcare ecosystem together in her keynote at the HIMSS23 ML and AI Forum. 

The newest of HIMSS Analytics' maturity models, C-COMM is designed to help non-acute provider organizations track and benchmark their digital transformation efforts in primary care, telehealth, maternal and child wellness, behavioral health and more.

In a preview of her HIMSS23 panel, Suchi Saria, founder and CEO of Bayesian Health, offers perspectives on building more dependable machine learning models and making them easier for clinicians to use.

We speak with the vice president of the Institute for Healthcare Improvement about the ways technology can contribute to safer provider organizations, and places it falls short.

The National Council for Prescription Drug Programs chose the company for its prescriber database because of "its national coverage, profile depth, flexibility and integrity," the council's president and CEO said.

At HIMSS23, Evelyn Gallego, CEO and founder of EMI Advisors, will highlight with fellow panelists the opportunity to develop a standardized data exchange to improve maternal care coordination and planning.

The company says the new HIPAA-compliant integration can reduce specialist visits, improve patient access and minimize administrative overhead with customizable algorithms that route patient referrals.