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Jonathan M. Beus
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2020 – today
- 2023
- [j3]Thomas E. Dawson, Jonathan M. Beus, Evan W. Orenstein, Uwem Umontuen, Denice McNeill, Swaminathan Kandaswamy:
Reducing Therapeutic Duplication in Inpatient Medication Orders. Appl. Clin. Inform. 14(3): 538-543 (2023) - 2022
- [j2]Juan D. Chaparro, Jonathan M. Beus, Adam C. Dziorny, Philip Hagedorn, Sean Hernandez, Swaminathan Kandaswamy, Eric S. Kirkendall, Allison B. McCoy, Naveen Muthu, Evan W. Orenstein:
Clinical Decision Support Stewardship: Best Practices and Techniques to Monitor and Improve Interruptive Alerts. Appl. Clin. Inform. 13(3): 560-568 (2022) - [c2]Jonathan M. Beus, Edwin Ray, Sarah Thompson, Ryan Birmingham, Brad Cundiff, Mike Malto, Kevin Duncan, Dileep Gunda, Rishikesan Kamaleswaran, Evan Orenstein:
Challenges in Custom Machine Learning Model Implementation in a Vendor System: Use of a Deep Learning Model for Pediatric CLABSI Prediction. AMIA 2022 - [c1]Thomas E. Dawson, Jonathan M. Beus, Swaminathan Kandaswamy, Uwem Umontuen, Denice McNeill, Evan Orenstein:
Reducing Therapeutic Duplication in Inpatient Medication Orders. AMIA 2022 - 2021
- [j1]Evan W. Orenstein, Swaminathan Kandaswamy, Naveen Muthu, Juan D. Chaparro, Philip Hagedorn, Adam C. Dziorny, Adam Moses, Sean Hernandez, Amina Khan, Hannah B. Huth, Jonathan M. Beus, Eric S. Kirkendall:
Alert burden in pediatric hospitals: a cross-sectional analysis of six academic pediatric health systems using novel metrics. J. Am. Medical Informatics Assoc. 28(12): 2654-2660 (2021)
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