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Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative.

Publication ,  Journal Article
Kirby, AM; Kruger, B; Jain, R; OʼHair, DP; Granger, BB
Published in: Computers, informatics, nursing : CIN
November 2018

Clinical decision support systems are used to ensure compliance with guidelines and can assist providers in improving quality of care. This quality improvement initiative was designed to evaluate the use of a clinical decision support system to improve specialist referral rate for patients with severe aortic stenosis. A clinical decision support system for cardiology and primary care providers was implemented to improve diagnosis of severe aortic stenosis. The ordering provider received an electronic medical record in-basket alert providing feedback and recommendations for referral to specialist for evaluation. The echocardiogram data were evaluated for change in specialist referral rate. Before clinical decision support system implementation, the referral rate was 72% for a 3-month period. All providers ordering echocardiograms received clinical decision support system notification if patient results met criteria based on valve severity (aortic valve area < 1.0 cm, mean gradient ≥ 40 mm Hg, peak velocity ≥ 4.0 m/s). After implementation, clinical decision support system referral rate was 97.5%, a 24.6% increase in referral rates (P < .001). Low referral rates for patients with severe aortic stenosis are a recognized challenge. Utilizing the clinical decision support system to improve awareness of quality guidelines and recommendations was associated with increased adherence to referral guidelines by providers. This innovation is pertinent to practice and enhances the functionality of the electronic medical record by providing real-time feedback to providers to improve practice. Referral rates for patients with severe aortic stenosis can be improved with use of provider clinical decision support system.

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Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

November 2018

Volume

36

Issue

11

Start / End Page

525 / 529

Related Subject Headings

  • Severity of Illness Index
  • Referral and Consultation
  • Quality Improvement
  • Nursing
  • Male
  • Humans
  • Female
  • Decision Support Systems, Clinical
  • Aortic Valve Stenosis
  • Aged, 80 and over
 

Citation

APA
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ICMJE
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Kirby, A. M., Kruger, B., Jain, R., OʼHair, D. P., & Granger, B. B. (2018). Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative. Computers, Informatics, Nursing : CIN, 36(11), 525–529. https://doi.org/10.1097/cin.0000000000000471
Kirby, Amanda M., Bradley Kruger, Renuka Jain, Daniel P. OʼHair, and Bradi B. Granger. “Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative.Computers, Informatics, Nursing : CIN 36, no. 11 (November 2018): 525–29. https://doi.org/10.1097/cin.0000000000000471.
Kirby AM, Kruger B, Jain R, OʼHair DP, Granger BB. Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative. Computers, informatics, nursing : CIN. 2018 Nov;36(11):525–9.
Kirby, Amanda M., et al. “Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative.Computers, Informatics, Nursing : CIN, vol. 36, no. 11, Nov. 2018, pp. 525–29. Epmc, doi:10.1097/cin.0000000000000471.
Kirby AM, Kruger B, Jain R, OʼHair DP, Granger BB. Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative. Computers, informatics, nursing : CIN. 2018 Nov;36(11):525–529.

Published In

Computers, informatics, nursing : CIN

DOI

EISSN

1538-9774

ISSN

1538-2931

Publication Date

November 2018

Volume

36

Issue

11

Start / End Page

525 / 529

Related Subject Headings

  • Severity of Illness Index
  • Referral and Consultation
  • Quality Improvement
  • Nursing
  • Male
  • Humans
  • Female
  • Decision Support Systems, Clinical
  • Aortic Valve Stenosis
  • Aged, 80 and over