Michael Draugelis - Publications, H-index & Citations

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Michael Draugelis

American Medical Association

12H-index

41Paper Count

1.6KCitation Count

Published Papers 12

Publication Date

Eliminating the AI digital divide by building local capacity (vol 4, e0001026, 2025)

PLOS Digital Health

IF0

2025-12-01

OAAI

Gulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M.; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khoury, Christopher; Liao, Frank J.; Liu, Vincent X.; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M.; Mcswain, David; Miff, Steve; Miller, Corey; Murray, Sara G.; Patterson, Brian W.; Payne, Philip; Price II, W. Nicholson; Rimal, Ram; Sheppard, Michael J.; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S.; Balu, Suresh; Sendak, Mark P.

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Eliminating the AI digital divide by building local capacity

PLOS DIGITAL HEALTH

IF0

2025-10-01

PREAI

Gulamali, Freya; Kim, Jee Young; Pejavara, Kartik; Thomas, Ciera; Mathur, Varoon; Eigen, Zev; Lifson, Mark; Patel, Manesh; Shaw, Keo; Tobey, Danny; Valladares, Alexandra; Vidal, David; Augenstein, Jared; Beecy, Ashley; Bergkvist, Sofi; Burns, Michael; Draugelis, Michael; Ehrenfeld, Jesse M.; Henwood, Patricia; Jagneaux, Tonya; Jeffries, Morgan; Khuory, Christopher; Liao, Frank J.; Liu, Vincent X.; Longhurst, Chris; Mack, Dominic; Maddox, Thomas M.; McSwain, David; Miff, Steve; Miller, Corey; Murray, Sara G.; Patterson, Brian W.; Payne, Philip; Price II, W. Nicholson; Rimal, Ram; Sheppard, Michael J.; Singh, Karandeep; Sosseh, Abdoul; Stoll, Jennifer; Stroum, Corinne; Tarabichi, Yasir; Trujillo, Sylvia; Wiley, Ladd; Hasan, Alifia; Kpodzro, Joan S.; Balu, Suresh; Sendak, Mark P.

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Evaluating equity in performance of an electronic health record-based 6-month mortality risk model to trigger palliative care consultation: a retrospective model validation analysis

BMJ QUALITY & SAFETY

IF6.5

2023-03-31

OAAI

Teeple, Stephanie; Chivers, Corey; Linn, Kristin A.; Halpern, Scott D.; Eneanya, Nwamaka; Draugelis, Michael; Courtright, Katherine

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Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach

JOURNAL OF PERSONALIZED MEDICINE

IF3

2022-04-20

OAAI

Prasad, Niranjani; Mandyam, Aishwarya; Chivers, Corey; Draugelis, Michael; Hanson, C. William, III; Engelhardt, Barbara E.; Laudanski, Krzysztof

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Sparse multi-output Gaussian processes for online medical time series prediction

BMC MEDICAL INFORMATICS AND DECISION MAKING

IF3.8

2020-07-08

OAAI

Cheng, Li-Fang; Dumitrascu, Bianca; Darnell, Gregory; Chivers, Corey; Draugelis, Michael; Li, Kai; Engelhardt, Barbara E.

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Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic

ANNALS OF INTERNAL MEDICINE

IF15.2

2020-07-07

165

OAAI

Weissman, Gary E.; Crane-Droesch, Andrew; Chivers, Corey; Luong, ThaiBinh; Hanish, Asaf; Levy, Michael Z.; Lubken, Jason; Becker, Michael; Draugelis, Michael E.; Anesi, George L.; Brennan, Patrick J.; Christie, Jason D.; Hanson, C. William, III; Mikkelsen, Mark E.; Halpern, Scott D.

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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock*

CRITICAL CARE MEDICINE

IF6

2019-11-01

OAAI

Ginestra, Jennifer C.; Giannini, Heather M.; Schweickert, William D.; Meadows, Laurie; Lynch, Michael J.; Pavan, Kimberly; Chivers, Corey J.; Draugelis, Michael; Donnelly, Patrick J.; Fuchs, Barry D.; Umscheid, Craig A.

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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice*

CRITICAL CARE MEDICINE

IF6

2019-11-01

161

OAAI

Giannini, Heather M.; Ginestra, Jennifer C.; Chivers, Corey; Draugelis, Michael; Hanish, Asaf; Schweickert, William D.; Fuchs, Barry D.; Meadows, Laurie; Lynch, Michael; Donnelly, Patrick J.; Pavan, Kimberly; Fishman, Neil O.; Hanson, C. William, III; Umscheid, Craig A.

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Machine Learning Approaches to Predict 6-Month Mortality Among Patients With Cancer

JAMA NETWORK OPEN

IF9.7

2019-10-25

156

OAAI

Parikh, Ravi B.; Manz, Christopher; Chivers, Corey; Regli, Susan Harkness; Braun, Jennifer; Draugelis, Michael E.; Schuchter, Lynn M.; Shulman, Lawrence N.; Navathe, Amol S.; Patel, Mitesh S.; O'Connor, Nina R.

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Electronic Health Record Mortality Prediction Model for Targeted Palliative Care Among Hospitalized Medical Patients: a Pilot Quasi-experimental Study

JOURNAL OF GENERAL INTERNAL MEDICINE

IF4.2

2019-07-16

OAAI

Courtright, Katherine R.; Chivers, Corey; Becker, Michael; Regli, Susan H.; Pepper, Linnea C.; Draugelis, Michael E.; O'Connor, Nina R.

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Palliative Connect: Triggered Palliative Care Consultation Using an EHR Prediction Model

JOURNAL OF PAIN AND SYMPTOM MANAGEMENT

IF3.5

2019-02-01

OAAI

Courtright, Kate; Chivers, Corey; Becker, Michael; Regli, Susan; Draugelis, Michael; O'Connor, Nina

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Development of a Trigger Tool for Identifying Emergency Department Visits in Patients With Lung Cancer

INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

IF6.5

2017-10-01

PREAI

Vogel, J.; Evans, T. L.; Braun, J.; Hanish, A.; Draugelis, M.; Regli, S.; Becker, M.; Crimins, N.; Kucharczuk, J.; Shulman, L.; Gabriel, P. E.; Berman, A. T.

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Research Directions