title: Improving clinician acceptance and use of computerized documentation of coded diagnosis.
abstract: After the Northwest Division of Kaiser Permanente implemented EpicCare, a comprehensive electronic medical record, clinicians were required to directly document orders and diagnoses on this computerized system, a task they found difficult and time consuming. We analyzed the sources of this problem to improve the process and increase its acceptance by clinicians. One problem was the use of the International Classification of Diseases (ICD-9) as our coding scheme, even though ICD-9 is not a complete nomenclature of diseases and using it as such creates difficulties. In addition, the synonym list we used had some inaccurate associations, contributing to clinician frustration. Furthermore, the initial software program contained no adequate mechanism for adding qualifying comments or preferred terminology. We sought to address all these issues. Strategies included adjusting the available coding choices and descriptions and modifying the medical record software. In addition, the software vendor developed a utility that allows clinicians to replace the ICD-9 description with their own preferred terminology while preserving the ICD-9 code. We present an evaluation of this utility.
authors.affiliation: Kaiser Permanente Northwest Division, Portland, OR, USA.
authors.forename: M A
authors.initials: MA
authors.lastname: Krall
authors.forename: H
authors.initials: H
authors.lastname: Chin
authors.forename: L
authors.initials: L
authors.lastname: Dworkin
authors.forename: K
authors.initials: K
authors.lastname: Gabriel
authors.forename: R
authors.initials: R
authors.lastname: Wong
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods* / Q000592:standards; D000555:Ambulatory Care Information Systems; D001292:Attitude to Computers; D004194:Disease / Q000145:classification*; D004282:Documentation / Q000379:methods / Q000592:standards; D006279:Health Maintenance Organizations / Q000458:organization & administration; D006302:Health Services Research / Q000379:methods; D006801:Humans; D016347:Medical Records Systems, Computerized / Q000145:classification / Q000592:standards / Q000706:statistics & numerical data*; D009922:Oregon; D010865:Pilot Projects; D014584:User-Computer Interface; D014861:Washington