Appl Clin Inform 2014; 05(02): 368-387
DOI: 10.4338/ACI-2013-09-RA-0069
Research Article
Schattauer GmbH

Developing Clinical Decision Support within a Commercial Electronic Health Record System to Improve Antimicrobial Prescribing in the Neonatal ICU

R.S. Hum
1  Department of Pediatrics, Columbia University, NY, NY
,
K. Cato
2  School of Nursing, Columbia University, NY, NY
,
B. Sheehan
3  Faculty Practice Organization, Columbia University, NY, NY
,
S. Patel
5  Department of Pediatrics, Northwestern University, Chicago, IL
,
J. Duchon
1  Department of Pediatrics, Columbia University, NY, NY
,
P. DeLaMora
6  Department of Pediatrics, Weill Cornell Medical College, NY, NY
,
Y.H. Ferng
2  School of Nursing, Columbia University, NY, NY
,
P. Graham
1  Department of Pediatrics, Columbia University, NY, NY
7  Department of Quality and Patient Safety, NewYork-Presbyterian Hospital, NY, NY
8  Department of Infection Prevention & Control, NewYork-Presbyterian Hospital, NY, NY
,
D.K. Vawdrey
4  Department of Biomedical Informatics, Columbia University, NY, NY
,
J. Perlman
6  Department of Pediatrics, Weill Cornell Medical College, NY, NY
,
E. Larson
2  School of Nursing, Columbia University, NY, NY
9  School of Nursing and Mailman School of Public Health, Columbia University, NY, NY
,
L. Saiman
1  Department of Pediatrics, Columbia University, NY, NY
8  Department of Infection Prevention & Control, NewYork-Presbyterian Hospital, NY, NY
› Author Affiliations
Further Information

Publication History

Received: 04 September 2013

Accepted: 19 February 2014

Publication Date:
21 December 2017 (online)

Summary

Objective: To develop and implement a clinical decision support (CDS) tool to improve antibiotic prescribing in neonatal intensive care units (NICUs) and to evaluate user acceptance of the CDS tool.

Methods: Following sociotechnical analysis of NICU prescribing processes, a CDS tool for empiric and targeted antimicrobial therapy for healthcare-associated infections (HAIs) was developed and incorporated into a commercial electronic health record (EHR) in two NICUs. User logs were reviewed and NICU prescribers were surveyed for their perceptions of the CDS tool.

Results: The CDS tool aggregated selected laboratory results, including culture results, to make treatment recommendations for common clinical scenarios. From July 2010 to May 2012, 1,303 CDS activations for 452 patients occurred representing 22% of patients prescribed antibiotics during this period. While NICU clinicians viewed two culture results per tool activation, prescribing recommendations were viewed during only 15% of activations. Most (63%) survey respondents were aware of the CDS tool, but fewer (37%) used it during their most recent NICU rotation. Respondents considered the most useful features to be summarized culture results (43%) and antibiotic recommendations (48%).

Discussion: During the study period, the CDS tool functionality was hindered by EHR upgrades, implementation of a new laboratory information system, and changes to antimicrobial testing methodologies. Loss of functionality may have reduced viewing antibiotic recommendations. In contrast, viewing culture results was frequently performed, likely because this feature was perceived as useful and functionality was preserved.

Conclusion: To improve CDS tool visibility and usefulness, we recommend early user and information technology team involvement which would facilitate use and mitigate implementation challenges.

Citation: Hum RS, Cato K, Sheehan B, Patel S, Duchon J, DeLaMora P, Ferng YH, Graham P, Vawdrey DK, Perlman J, Larson E, Saiman L. Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU. Appl Clin Inf 2014; 5: 368–387 http://dx.doi.org/10.4338/ACI-2013-09-RA-0069