Oniki Thomas A, Rodrigues Drayton, Rahman Noman, Patur Saritha, Briot Pascal, Taylor David P, Wilcox Adam B, Reiss-Brennan Brenda, Cannon Wayne H
Intermountain Healthcare, Salt Lake City, UT.
AMIA Annu Symp Proc. 2014 Nov 14;2014:934-43. eCollection 2014.
Intermountain Healthcare's Mental Health Integration (MHI) Care Process Model (CPM) contains formal scoring criteria for assessing a patient's mental health complexity as "mild," "medium," or "high" based on patient data. The complexity score attempts to assist Primary Care Physicians in assessing the mental health needs of their patients and what resources will need to be brought to bear. We describe an effort to computerize the scoring. Informatics and MHI personnel collaboratively and iteratively refined the criteria to make them adequately explicit and reflective of MHI objectives. When tested on retrospective data of 540 patients, the clinician agreed with the computer's conclusion in 52.8% of the cases (285/540). We considered the analysis sufficiently successful to begin piloting the computerized score in prospective clinical care. So far in the pilot, clinicians have agreed with the computer in 70.6% of the cases (24/34).
山间医疗保健公司的心理健康整合（MHI）护理流程模型（CPM）包含正式的评分标准，可根据患者数据将患者的心理健康复杂程度评估为“轻度”“中度”或“高度”。复杂性评分旨在帮助初级保健医生评估患者的心理健康需求以及需要动用哪些资源。我们描述了一项将评分计算机化的工作。信息学和MHI工作人员协同并反复完善这些标准，使其足够明确并能反映MHI的目标。在对540名患者的回顾性数据进行测试时，临床医生在52.8%的病例（285/540）中与计算机的结论一致。我们认为该分析足够成功，可以开始在前瞻性临床护理中试用计算机化评分。到目前为止，在试点中，临床医生在70.6%的病例（24/34）中与计算机的结论一致。
