Armando Diego Bedoya, MD

Assistant Professor of Medicine
Assistant Professor of Biostatistics and Bioinformatics
Campus mail 234 Crooked Creek Pathway, Durham, NC 27713
Email address armando.bedoya@duke.edu

Education and Training

  • Pulmonary and Critical Care Fellowship, Medicine, Duke University School of Medicine, 2016 - 2018
  • Chief Resident, Duke Regional Hospital & Ambulatory Clinics, Medicine, Duke University School of Medicine, 2015 - 2016
  • Pulmonary and Critical Care Medicine Fellowship, Medicine, Duke University School of Medicine, 2014 - 2015
  • Pulmonary and Critical Care Fellowship, Medicine, Duke University School of Medicine, 2014 - 2015
  • Internal Medicine Residency, Medicine, Duke University School of Medicine, 2011 - 2014
  • M.M.C.i., Duke University School of Medicine, 2017
  • M.D., Brown University, Warren Alpert Medical School, 2011

Publications

Sendak, Mark P., Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O’Brien, and Suresh Balu. “Looking for clinician involvement under the wrong lamp post: The need for collaboration measures.” J Am Med Inform Assoc 28, no. 11 (October 12, 2021): 2541–42. https://doi.org/10.1093/jamia/ocab129.

PMID
34498049
Full Text

Vose, A., B. P. Patel, A. Bedoya, R. M. Tighe, and S. L. Shofer. “Impulse Oscillometry Identifies Small Airways Pathology Among Obese Patients Otherwise Missed by Traditional Spirometry.” In American Journal of Respiratory and Critical Care Medicine, Vol. 203, 2021.

Scholars@Duke

Bedoya, Armando, Roy A. Pleasants, Joel C. Boggan, Danielle Seaman, Anne Reihman, Lauren Howard, Robert Kundich, Karen Welty-Wolf, and Robert M. Tighe. “Interstitial lung disease in a veterans affairs regional network; a retrospective cohort study.” Plos One 16, no. 3 (2021): e0247316. https://doi.org/10.1371/journal.pone.0247316.

PMID
33735247
Full Text

Giri, Paresh C., Anand M. Chowdhury, Armando Bedoya, Hengji Chen, Hyun Suk Lee, Patty Lee, Craig Henriquez, Neil R. MacIntyre, and Yuh-Chin T. Huang. “Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?” Front Physiol 12 (2021): 678540. https://doi.org/10.3389/fphys.2021.678540.

PMID
34248665
Full Text

Sandhu, Sahil, Anthony L. Lin, Nathan Brajer, Jessica Sperling, William Ratliff, Armando D. Bedoya, Suresh Balu, Cara O’Brien, and Mark P. Sendak. “Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study.” J Med Internet Res 22, no. 11 (November 19, 2020): e22421. https://doi.org/10.2196/22421.

PMID
33211015
Full Text

Bedoya, Armando D., Nrupen A. Bhavsar, Bhargav Adagarla, Courtney B. Page, Benjamin A. Goldstein, and Neil R. MacIntyre. “Unanticipated Respiratory Compromise and Unplanned Intubations on General Medical and Surgical Floors.” Respir Care 65, no. 9 (September 2020): 1233–40. https://doi.org/10.4187/respcare.07438.

PMID
32156789
Full Text

Woo, Myung, Brooke Alhanti, Sam Lusk, Felicia Dunston, Stephen Blackwelder, Kay S. Lytle, Benjamin A. Goldstein, and Armando Bedoya. “Evaluation of ML-Based Clinical Decision Support Tool to Replace an Existing Tool in an Academic Health System: Lessons Learned.” J Pers Med 10, no. 3 (August 27, 2020). https://doi.org/10.3390/jpm10030104.

PMID
32867023
Full Text

Sendak, Mark P., William Ratliff, Dina Sarro, Elizabeth Alderton, Joseph Futoma, Michael Gao, Marshall Nichols, et al. “Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study.” Jmir Med Inform 8, no. 7 (July 15, 2020): e15182. https://doi.org/10.2196/15182.

PMID
32673244
Full Text

Bedoya, Armando D., Joseph Futoma, Meredith E. Clement, Kristin Corey, Nathan Brajer, Anthony Lin, Morgan G. Simons, et al. “Machine learning for early detection of sepsis: an internal and temporal validation study.” Jamia Open 3, no. 2 (July 2020): 252–60. https://doi.org/10.1093/jamiaopen/ooaa006.

PMID
32734166
Full Text

Pages