Improving Appropriate Diagnosis of Clostridioides difficile Infection Through an Enteric Pathogen Order Set With Computerized Clinical Decision Support: An Interrupted Time Series Analysis

MLA

John B. Lynch, et al. “Improving Appropriate Diagnosis of Clostridioides Difficile Infection Through an Enteric Pathogen Order Set With Computerized Clinical Decision Support: An Interrupted Time Series Analysis.” Open Forum Infectious Diseases, vol. 7, Aug. 2020. EBSCOhost, https://doi.org/10.1093/ofid/ofaa366.

APA

John B. Lynch, Kristine F Lan, Ania Sweet, Andrew Bryan, H. Nina Kim, Catherine Liu, Estella Whimbey, Jeannie D. Chan, Rupali Jain, Elizabeth M Krantz, Jacqlynn Zier, Steven A. Pergam, Paul S. Pottinger, & Chloe Bryson-Cahn. (2020). Improving Appropriate Diagnosis of Clostridioides difficile Infection Through an Enteric Pathogen Order Set With Computerized Clinical Decision Support: An Interrupted Time Series Analysis. Open Forum Infectious Diseases, 7. https://doi.org/10.1093/ofid/ofaa366

Chicago

John B. Lynch, Kristine F Lan, Ania Sweet, Andrew Bryan, H. Nina Kim, Catherine Liu, Estella Whimbey, et al. 2020. “Improving Appropriate Diagnosis of Clostridioides Difficile Infection Through an Enteric Pathogen Order Set With Computerized Clinical Decision Support: An Interrupted Time Series Analysis.” Open Forum Infectious Diseases 7 (August). doi:10.1093/ofid/ofaa366.