Patient-tailored prioritization for a pediatric care decision support system through machine learning.
Over 8 years, we have developed an innovative computer decision support system that improves appropriate delivery of pediatric screening and care. This system employs a guidelines evaluation engine using data from the electronic health record (EHR) and input from patients and caregivers. Because guideline recommendations typically exceed the scope of one visit, the engine uses a static prioritization scheme to select recommendations. Here we extend an earlier idea to create [...]
Author(s): Klann, Jeffrey G, Anand, Vibha, Downs, Stephen M
DOI: 10.1136/amiajnl-2013-001865