Warren Jim, Gadzhanova Svetla, Stanek Jan, Iankov Ivan
Advanced Computing Reseach Centre, University of South Australia.
AMIA Annu Symp Proc. 2005;2005:784-8.
Increasing uptake of electronic medical records (EMRs) offers opportunities for analysis and quality assurance of clinical practice; but making appropriate inferences about chronic disease management is non-trivial. We propose a state-transition model for analysis of chronic disease therapy by community practices based on clinical practice guidelines. We abstract guideline recommendations to key therapeutic states, and map electronic prescribing data into a series of states and transitions, which can then be interpreted with respect to the recommendations of the guideline. By applying our approach to a patient cohort diagnosed with both hypertension and diabetes mellitus, we demonstrate that the method identifies cases at risk of suboptimal care, deserving further review by General Practitioners (GPs).
电子病历（EMR）使用的增加为临床实践的分析和质量保证提供了机会；但对慢性病管理做出恰当推断并非易事。我们提出一种基于临床实践指南的社区医疗慢性病治疗分析状态转换模型。我们将指南建议提炼为关键治疗状态，并将电子处方数据映射到一系列状态和转换中，然后可根据指南建议进行解读。通过将我们的方法应用于同时诊断患有高血压和糖尿病的患者队列，我们证明该方法能够识别护理欠佳风险的病例，值得全科医生（GP）进一步审查。
