Literature DB >> 10169527

Improving clinician acceptance and use of computerized documentation of coded diagnosis.

M A Krall1, H Chin, L Dworkin, K Gabriel, R Wong.   

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.

Mesh:

Year:  1997        PMID: 10169527

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  4 in total

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Journal:  J Am Med Inform Assoc       Date:  2006-02-24       Impact factor: 4.497

3.  Assessing the accuracy of an inter-institutional automated patient-specific health problem list.

Authors:  Lise Poissant; Laurel Taylor; Allen Huang; Robyn Tamblyn
Journal:  BMC Med Inform Decis Mak       Date:  2010-02-23       Impact factor: 2.796

4.  Evaluation of the clinical application effect of eSource record tools for clinical research.

Authors:  Bin Wang; Xinbao Hao; Xiaoyan Yan; Junkai Lai; Feifei Jin; Xiwen Liao; Hongju Xie; Chen Yao
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-11       Impact factor: 2.796

  4 in total

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