Carnegie Mellon University

File(s) stored somewhere else

Please note: Linked content is NOT stored on Carnegie Mellon University and we can't guarantee its availability, quality, security or accept any liability.

Clinical Reminder System: A Relational Database Application for Evidence-Based Medicine Practice

journal contribution
posted on 2004-01-01, 00:00 authored by Herbert Diamond, Michael P. Johnson, Rema PadmanRema Padman, Kai Zheng, Velma L. Payne
Evidence-based medicine is the distillation of a large volume of medical research and standards into treatment protocols for diseases and preventive care procedures that represent the most accurate knowledge available. In this project, we implement evidence-based medicine principles via a decision support system that provides suggested actions for physicians based on individual patient characteristics and established treatment protocols. Such a reminder system may enable physicians to make better-quality decisions, and may enable patients more consistently follow medical recommendations. We present a prototype DSS, called Clinical Reminder System, that combines a relational database, a knowledge base consisting of algorithms that implement disease treatment protocols, integration with hospital legacy systems and a web-based interface allowing for physician management of patient data and suggested medical responses. This application has been in use within a clinical setting since 2001. Formal evaluation and assessment of patient outcomes associated with use of this system is currently being performed by Carnegie Mellon University and The Western Pennsylvania Hospital.




Usage metrics


    Ref. manager