Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58732, first published .
Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation

Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation

Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation

Hieu Minh Nguyen   1 , MS ;   William Anderson   2 , MS ;   Shih-Hsiung Chou   3 , PhD ;   Andrew McWilliams   4, 5 , MD, MPH ;   Jing Zhao   6 , PhD ;   Nicholas Pajewski   1, 7 , PhD ;   Yhenneko Taylor   1, 8 , PhD

1 Center for Health System Sciences (CHASSIS), Atrium Health, Charlotte, NC, United States

2 Statistics and Data Management, Elanco, Greenfield, IN, United States

3 Enterprise Data Management, Atrium Health, Charlotte, NC, United States

4 Information Technology, Atrium Health, Charlotte, NC, United States

5 Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, United States

6 GSCO Market Access Analytics and Real World Evidence, Johnson & Johnson, Raritan, NJ, United States

7 Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States

8 Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Winston-Salem, NC, United States

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