Appl Clin Inform 2014; 05(02): 402-415
DOI: 10.4338/ACI-2013-12-RA-0101
Research Article
Schattauer GmbH

An Analysis of Free-Text Alcohol Use Documentation in the Electronic Health Record

Early Findings and Implications
ES Chen
1  Biomedical Informatics Unit – Center for Clinical and Translational Science, University of Vermont, Burlington, VT
2  Division of General Internal Medicine – Department of Medicine, University of Vermont, Burlington, VT
3  Department of Computer Science, University of Vermont, Burlington, VT
,
M. Garcia-Webb
4  University of Massachusetts Medical School, Worcester, MA
› Author Affiliations
Further Information

Correspondence to:

Elizabeth S. Chen, PhD
Center for Clinical and Translational Science
89 Beaumont Avenue, Given Courtyard S356
Burlington, VT 05405 USA
Phone: +1 802–656–8286   
Fax: +1 802–656–4589   

Publication History

Received: 16 December 2013

Accepted: 25 February 2014

Publication Date:
21 December 2017 (online)

 

Summary

Background: Alcohol use is a significant part of a patient’s history, but details about consumption are not always documented. Electronic Health Record (EHR) systems have the potential to improve assessment of alcohol use and misuse; however, a challenge is that critical information may be documented primarily in free-text rather than in a structured and standardized format, thereby limiting its use.

Objective: To characterize the use and contents of free-text documentation for alcohol use in the social history module of an EHR.

Methods: This study involved a retrospective analysis of 500 alcohol use entries that include structured fields as well as a free-text comment field. Two coding schemes were developed and used to analyze these entries for: (1) quantifying the reasons for using free-text comments and (2) categorizing information in the free-text into separate elements. In addition, for entries indicating possible alcohol misuse, a preliminary review of other structured parts of the EHR was conducted to determine if this was also documented elsewhere.

Results: The top three reasons for using free-text were limited ability to describe alcohol use frequency (75%), amount (22%), and status (18%) with available structured fields. Within the free-text, descriptions of frequency were most common (79%) using words or phrases conveying occasional (61%), daily (13%), or weekly (12%) use. Of the 36 cases suggesting alcohol misuse, 44% had mention of alcohol problems in the problem list or past medical history.

Conclusions: Based on the early findings, implications for improving the structured collection and use of alcohol use information in the EHR are provided in four areas: (1) system enhancements, (2) user training, (3) decision support, and (4) standards. Next steps include examining how alcohol use is documented in other parts of the EHR (e.g., clinical notes) and how documentation practices vary based on patient, provider, and clinic characteristics.

Citation: Chen ES, M. Garcia-Webb M. An analysis of free-text alcohol use documentation in the electronic health record: Early findings and implications. Appl Clin Inf 2014; 5: 402–415 http://dx.doi.org/10.4338/ACI-2013-12-RA-0101


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Conflicts of interest

The authors declare that they have no conflicts of interest in the research.


Correspondence to:

Elizabeth S. Chen, PhD
Center for Clinical and Translational Science
89 Beaumont Avenue, Given Courtyard S356
Burlington, VT 05405 USA
Phone: +1 802–656–8286   
Fax: +1 802–656–4589