Predictive Models for Sustained, Uncontrolled Hypertension and Hypertensive Crisis Based on Electronic Health Record Data: Algorithm Development and Validation
An electronic health record-based model predicted hypertensive crisis reasonably well in internal and internal-external validations. The model can potentially be used to support population health surveillance and hypertension management. Further studies are needed to improve the ability to predict sustained, uncontrolled hypertension.
Authors
- William E. Anderson (ORCID: https://orcid.org/0000-0002-4496-6718)
- Jing Zhao (ORCID: https://orcid.org/0000-0001-8973-0429)
- Andrew McWilliams (ORCID: https://orcid.org/0000-0003-3406-9201)
- Shih‐Hsiung Chou (ORCID: https://orcid.org/0000-0001-5414-1958)
- Yhenneko J. Taylor (ORCID: https://orcid.org/0000-0002-5336-5666)
- Nicholas M. Pajewski (ORCID: https://orcid.org/0000-0002-4447-6196)
- Hieu Nguyen (ORCID: https://orcid.org/0000-0001-8030-6058)
Institutions
- Johnson & Johnson (United States) (US)
- Atrium Medical Cente (US)
- Elanco (United States) (US)
- Wake Forest University (US)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-10-28
- DOI
- https://doi.org/10.2196/58732
- Citations
- 2
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.80