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AMIA Annu Symp Proc ; 2014: 934-43, 2014.
Article in English | MEDLINE | ID: mdl-25954401

ABSTRACT

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).


Subject(s)
Algorithms , Delivery of Health Care, Integrated , Mental Disorders/classification , Mental Health/classification , Humans , Pilot Projects , Primary Health Care , Retrospective Studies , Utah
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