Health eProfile Articles and Education
Retrieved By Health eConsultation

Two Sides of the AI/ML Coin in Health Care

As we’ve previously discussed, algorithms—step by step instructions (rules) to perform a task or solve a problem, especially by a computer—have been widely used in health care for decades.  One clear use of these algorithms is through evidence-based, clinical decision support interventions (DSIs). Today, we see a rapid growth in data-based, predictive DSIs, which use models created using machine learning (ML) algorithms or other statistical approaches that analyze large volumes of real-world data (called “training data”) to find patterns and make recommendations.

The post Two Sides of the AI/ML Coin in Health Care appeared first on Health IT Buzz.

Link to original article

Previous Article Where APIs meet Health Equity by Design: Introducing the FHIRedApp Health Innovation
Next Article Interoperability in Action: ONC Informs CMS Ruling on Hospital Measures for Public Health and Health Equity Reporting
Print
219 Rate this article:
No rating
  • Comments

Leave a comment

Add comment