Analysis of guideline compliance--a data mining approach.
While guideline-based decision support is safety-critical and typically requires human interaction, offline analysis of guideline compliance can be performed to large extent automatically. We examine the possibility of automatic detection of potential non-compliance followed up with (statistical) association mining. Only frequent associations of non-compliance patterns with various patient data are submitted to medical expert for interpretation. The initial experiment was carried out in the domain of hypertension management.
Svátek
Vojtech
V
European Centre for Medical Informatics, Statistics and Epidemiology-Cardio, Czech Republic. svatek@vze.cz
Ríha
Antonín
A
Peleska
Jan
J
Rauch
Jan
J
D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D019317:Evidence-Based Medicine; D019983:Guideline Adherence; D006801:Humans; D017410:Practice Guidelines as Topic; D010818:Practice Patterns, Physicians'; D012984:Software