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The Use of Evidence-Based, Problem-Oriented Templates As a Clinical Decision Support in an Inpatient Electronic Health Record System

Overview
Publisher Thieme
Date 2016 Aug 18
PMID 27530268
Citations 10
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Abstract

Background: The integration of clinical decision support (CDS) in documentation practices remains limited due to obstacles in provider workflows and design restrictions in electronic health records (EHRs). The use of electronic problem-oriented templates (POTs) as a CDS has been previously discussed but not widely studied.

Objective: We evaluated the voluntary use of evidence-based POTs as a CDS on documentation practices.

Methods: This was a randomized cohort (before and after) study of Hospitalist Attendings in an Academic Medical Center using EPIC EHRs. Primary Outcome measurement was note quality, assessed by the 9-item Physician Documentation Quality Instrument (PDQI-9). Secondary Outcome measurement was physician efficiency, assessed by the total charting time per note.

Results: Use of POTs increased the quality of note documentation [score 37.5 vs. 39.0, P = 0.0020]. The benefits of POTs scaled with use; the greatest improvement in note quality was found in notes using three or more POTs [score 40.2, P = 0.0262]. There was no significant difference in total charting time [30 minutes vs. 27 minutes, P = 0.42].

Conclusion: Use of evidence-based and problem-oriented templates is associated with improved note quality without significant change in total charting time. It can be used as an effective CDS during note documentation.

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References
1.
Lowe J, Raugi G, Reiber G, Whitney J . Does incorporation of a clinical support template in the electronic medical record improve capture of wound care data in a cohort of veterans with diabetic foot ulcers?. J Wound Ostomy Continence Nurs. 2013; 40(2):157-62. PMC: 3591837. DOI: 10.1097/WON.0b013e318283bcd8. View

2.
Ghani Y, Thakrar R, Kosuge D, Bates P . 'Smart' electronic operation notes in surgery: an innovative way to improve patient care. Int J Surg. 2013; 12(5):30-2. DOI: 10.1016/j.ijsu.2013.10.017. View

3.
Schnipper J, Linder J, Palchuk M, Einbinder J, Li Q, Postilnik A . "Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management. J Am Med Inform Assoc. 2008; 15(4):513-23. PMC: 2442258. DOI: 10.1197/jamia.M2501. View

4.
Woller S, Stevens S, Towner S, Olson J, Christensen P, Hamilton S . Computerized clinical decision support improves warfarin management and decreases recurrent venous thromboembolism. Clin Appl Thromb Hemost. 2014; 21(3):197-203. DOI: 10.1177/1076029614550818. View

5.
Wrenn J, Stein D, Bakken S, Stetson P . Quantifying clinical narrative redundancy in an electronic health record. J Am Med Inform Assoc. 2010; 17(1):49-53. PMC: 2995640. DOI: 10.1197/jamia.M3390. View