Hospitals are using AI, data analytics and machine learning to improve health outcomes, produce predictive clinical insights and improve patient care. Here are seven artificial intelligence projects health systems have recently created and deployed as reported by Becker’s Hospital Review:
- Rochester, Minn.-based Mayo Clinic and Chesterfield, Mo.-based Mercy signed a 10-year agreement to use cloud-based technology, artificial intelligence, machine learning and deidentified patient outcomes to pinpoint diseases earlier and identify best treatment options. The information will help scientists analyze patterns of effective disease treatment and disease prevention in new ways based upon longitudinal data review over an extended period.
- Springdale, Ark.-based Northwest Health is using artificial intelligence system Periwatch Vigilance to monitor maternal health at Northwest Medical Center in Bentonville, Ark., Siloam Springs Regional Hospital, and Willow Creek Women’s Hospital in Johnson, Ark. The system monitors vital signs such as fetal heart rate, contractions and labor progression.
- UPMC partnered with Microsoft to modernize and expand its analytics platform by providing Microsoft computing, AI and machine learning tools to the UPMC clinical analytics team.
- Mayo Clinic partnered with digital health company Lisa Health to create an app that uses AI, sensor technology and digital therapeutics to support menopause management and healthy aging.
- Pediatric health system Akron (Ohio) Children’s Hospital is partnering with healthcare data and analytics company Health Catalyst to provide analytics for decision-making to its two hospitals and 54 care locations.
- Mayo Clinic joined a $45 million funding round for Diagnostic Robotics, a company that uses artificial intelligence to diagnose medical conditions. With the move, the startup became a Mayo Clinic Platform portfolio company.
- Sioux Falls, S.D.-based Sanford Health and San Diego-based Sharp HealthCare have partnered with health tech startup Dandelion Health to develop AI products that can aid medical decisions, improve diagnostics and drug development.