Using health information technology for clinical decision support and predictive analytics

摘要

JAMIA has been a premier venue for publication of scholarly work on clinical decision support systems since its inception. With an initial emphasis on knowledge-based systems, i.e., encoding of clinicians’ knowledge into rules that would trigger alerts and reminders, JAMIA evolved into a phase of an increasing number of articles reporting on the use of EHR “big data” to build and validate predictive models that recognize patterns in large amounts of data to derive actionable recommendations for clinicians. Interestingly, this is happening at the same time that health information technology (HIT) is still evolving, data quality in EHRs is being improved, and health information exchange (HIE) continues to be evaluated for cost effectiveness.