Literature DB >> 27480728

Effect of implementation of a coded problem list entry subsystem.

Chia-Chang Chen1, Chung-Hsin Chang2, Yen-Chun Peng3, Sek-Kwong Poon2, Shih-Che Huang4, Yu-Chuan Jack Li5.   

Abstract

OBJECTIVES: Complete patient problem lists may improve the quality of care. To improve the completeness of the lists at our institution, we implemented the coded problem list entry subsystem (CPLES) in our electronic medical record system. Subsequently, physicians used the CPLES instead of handwritten notes to document coded problem lists and progress notes. We evaluated the effect of implementing the CPLES on the completeness of problem lists.
METHODS: We compared the completeness of coded problem lists input after CPLES implementation with that of problem lists handwritten before CPLES implementation and determined the differences. Moreover, the efficiency and usability of the CPLES were evaluated.
RESULTS: The efficiency and usability of CPLES were acceptable. However, the completeness of problem lists was reduced after CPLES implementation. The possible reasons for this reduction, namely system usability, efficacy, incentives, leadership, and education, were crucial for successful CPLES implementation and are discussed in the text.
CONCLUSION: CPLES implementation reduced the completeness of problem lists. Institutions may learn from our experience and carefully implement their own coded problem list systems to avoid this consequence.
Copyright © 2016. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Electronic medical record; Meaningful uses; Problem oriented medical records; SNOMED CT

Mesh:

Year:  2016        PMID: 27480728     DOI: 10.1016/j.cmpb.2016.05.012

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  1 in total

1.  SNOMED CT standard ontology based on the ontology for general medical science.

Authors:  Shaker El-Sappagh; Francesco Franda; Farman Ali; Kyung-Sup Kwak
Journal:  BMC Med Inform Decis Mak       Date:  2018-08-31       Impact factor: 2.796

  1 in total

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