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2020 – today
- 2022
[j5]Andrew L. Yin
, Winston L. Guo, Evan Sholle, Mangala Rajan, Mark N. Alshak, Justin Choi, Parag Goyal, Assem Jabri, Han A. Li, Laura C. Pinheiro, Graham T. Wehmeyer, Mark G. Weiner, Monika M. Safford, Thomas R. Campion Jr., Curtis L. Cole:
Comparing automated vs. manual data collection for COVID-specific medications from electronic health records. Int. J. Medical Informatics 157: 104622 (2022)- [c2]Sabrina Mangal, Maryam Hyder, Hannah Curtis, Kate Zarzuela, Mahad Musse, Christina Ramasami, Monika M. Safford, Mark Lachs, Parag Goyal:
Patient Experiences with a Technology-Facilitated N-of-1 Clinical Trial for Shared Decision-Making about Beta-Blocker Medication Usage. AMIA 2022 - 2021
- [j4]Elizabeth Mauer, Jihui Lee, Justin Choi, Hongzhe Zhang, Katherine L. Hoffman, Imaani J. Easthausen, Mangala Rajan, Mark G. Weiner, Rainu Kaushal, Monika M. Safford, Peter A. D. Steel, Samprit Banerjee:
A predictive model of clinical deterioration among hospitalized COVID-19 patients by harnessing hospital course trajectories. J. Biomed. Informatics 118: 103794 (2021) - [c1]Andrew L. Yin, Winston L. Guo, Evan Sholle, Mangala Rajan, Laura C. Pinheiro, Parag Goyal, Justin Choi, Mark N. Alshak, Han Li, Graham T. Wehmeyer, Mark G. Weiner, Monika M. Safford, Thomas R. Campion Jr., Curtis L. Cole:
Comparing Automated Extraction to Manual Chart Review for COVID-Specific Research Data Abstraction: A Case Study. AMIA 2021
2010 – 2019
- 2019
- [j3]Sanjai Sinha, John Dillon, Savira Kochhar Dargar, Alexi Archambault, Paul Martin, Brittney A. Frankel, Jennifer Inhae Lee, Amanda S. Carmel, Monika M. Safford:
What to expect that you're not expecting: A pilot video education intervention to improve patient self-efficacy surrounding discharge medication barriers. Health Informatics J. 25(4) (2019) - [j2]Evan Sholle, Laura C. Pinheiro, Prakash Adekkanattu, Marcos Davila, Stephen B. Johnson, Jyotishman Pathak, Sanjai Sinha, Cassidie Li, Stasi A Lubansky, Monika M. Safford, Thomas R. Campion Jr.:
Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation. J. Am. Medical Informatics Assoc. 26(8-9): 722-729 (2019) - [j1]Fernanda C. Polubriaginof, Patrick B. Ryan, Hojjat Salmasian, Andrea W. Shapiro, Adler J. Perotte, Monika M. Safford, George Hripcsak, Shaun Smith, Nicholas P. Tatonetti, David K. Vawdrey:
Challenges with quality of race and ethnicity data in observational databases. J. Am. Medical Informatics Assoc. 26(8-9): 730-736 (2019)
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