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Proposed Framework for the Optimal Measurement of Quality Assessment in Percutaneous Coronary Intervention.

Publication ,  Journal Article
Klein, LW; Anderson, HV; Rao, SV
Published in: JAMA Cardiol
October 1, 2019
Published version (DOI) Link to item

Duke Scholars

Sunil Vadlakonda Rao
Author Sunil Vadlakonda Rao Medicine, Cardiology
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Published In

JAMA Cardiol

DOI

10.1001/jamacardio.2019.3228

EISSN

2380-6591

Publication Date

October 1, 2019

Volume

4

Issue

10

Start / End Page

963 / 964

Location

United States

Related Subject Headings

  • Quality Assurance, Health Care
  • Percutaneous Coronary Intervention
  • Humans
  • Coronary Artery Disease
  • Algorithms
  • 3201 Cardiovascular medicine and haematology
 

Citation

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ICMJE
MLA
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Klein, L. W., Anderson, H. V., & Rao, S. V. (2019). Proposed Framework for the Optimal Measurement of Quality Assessment in Percutaneous Coronary Intervention. JAMA Cardiol, 4(10), 963–964. https://doi.org/10.1001/jamacardio.2019.3228
Klein, Lloyd W., H Vernon Anderson, and Sunil V. Rao. “Proposed Framework for the Optimal Measurement of Quality Assessment in Percutaneous Coronary Intervention.” JAMA Cardiol 4, no. 10 (October 1, 2019): 963–64. https://doi.org/10.1001/jamacardio.2019.3228.
Klein, Lloyd W., et al. “Proposed Framework for the Optimal Measurement of Quality Assessment in Percutaneous Coronary Intervention.” JAMA Cardiol, vol. 4, no. 10, Oct. 2019, pp. 963–64. Pubmed, doi:10.1001/jamacardio.2019.3228.
Klein LW, Anderson HV, Rao SV. Proposed Framework for the Optimal Measurement of Quality Assessment in Percutaneous Coronary Intervention. JAMA Cardiol. 2019 Oct 1;4(10):963–964.

Published In

JAMA Cardiol

DOI

10.1001/jamacardio.2019.3228

EISSN

2380-6591

Publication Date

October 1, 2019

Volume

4

Issue

10

Start / End Page

963 / 964

Location

United States

Related Subject Headings

  • Quality Assurance, Health Care
  • Percutaneous Coronary Intervention
  • Humans
  • Coronary Artery Disease
  • Algorithms
  • 3201 Cardiovascular medicine and haematology