Johnson, Kevin B.

Precision medicine, AI, and the future of personalized health care

Johnson, K. B., Wei, W., Weeraratne, D., Frisse, M. E., Misulis, K., Rhee, K., Zhao, J., & Snowdon, J. L. (2021) · Clinical and Translational Science

Artificial Intelligence in Healthcare and EducationTechnology and Human Factors in Education and Health

Cited by 1,854

Data from clinical notes: a perspective on the tension between structure and flexible documentation

Rosenbloom, S. T., Denny, J. C., Xu, H., Lorenzi, N., Stead, W. W., & Johnson, K. B. (2011) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 404

AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence

Angus, D. C., Khera, R., Lieu, T., Liu, V., Ahmad, F. S., Anderson, B., Bhavani, S. V., Bindman, A., Brennan, T., Celi, L. A., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 195

Understanding patient portal use: implications for medication management

Osborn, C. Y., Mayberry, L. S., Wallston, K. A., Johnson, K. B., & Elasy, T. A. (2013) · Journal of Medical Internet Research

Electronic Health Records SystemsMedication Adherence and Compliance

Cited by 147

The Impact of Peer Management on Test-Ordering Behavior

Neilson, E. G., Johnson, K. B., Rosenbloom, S. T., Dupont, W. D., Talbert, D., Giuse, D. A., Kaiser, A., Miller, R. A., & and the Resource Utilization Committee* (2004) · Annals of Internal Medicine

Healthcare cost, quality, practicesClinical Laboratory Practices and Quality Control

Cited by 147

A pilot test of a tailored mobile and web-based diabetes messaging system for adolescents

Mulvaney, S. A., Anders, S., Smith, A. K., Pittel, E. J., & Johnson, K. B. (2012) · Journal of Telemedicine and Telecare

Mobile Health and mHealth ApplicationsDiabetes Management and Education

Cited by 128

Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records

Bejan, C. A., Angiolillo, J., Conway, D., Nash, R., Shirey-Rice, J. K., Lipworth, L., Cronin, R. M., Pulley, J., Kripalani, S., Barkin, S., et al. (2018) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 106

Clinical Decision Support and Electronic Prescribing Systems: A Time for Responsible Thought and Action

Miller, R. A., Gardner, R. M., Johnson, K. B., & Hripcsak, G. (2005) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsPharmaceutical Practices and Patient Outcomes

Cited by 99

Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model

Walsh, C. G., Johnson, K. B., Ripperger, M., Sperry, S., Harris, J., Clark, N., Fielstein, E., Novak, L., Robinson, K., & Stead, W. W. (2021) · JAMA Network Open

Suicide and Self-Harm StudiesMachine Learning in Healthcare

Cited by 78

Barriers That Impede the Adoption of Pediatric Information Technology

Johnson, K. B. (2001) · Archives of Pediatrics & Adolescent Medicine

Electronic Health Records SystemsTechnology and Human Factors in Education and Health

Cited by 66

Clinician collaboration to improve clinical decision support: the Clickbusters initiative

McCoy, A. B., Russo, E. M., Johnson, K. B., Addison, B., Patel, N., Wanderer, J. P., Mize, D. E., Jackson, J. G., Reese, T. J., Littlejohn, S., et al. (2022) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsHealthcare Technology and Patient Monitoring

Cited by 41

Perceived Increase in Mortality After Process and Policy Changes Implemented With Computerized Physician Order Entry

Rosenbloom, S. T., Harrell, F. E., Lehmann, C. U., Schneider, J. H., Spooner, S. A., & Johnson, K. B. (2006) · Pediatrics

Electronic Health Records SystemsHospital Admissions and Outcomes

Cited by 38

25 × 5 Symposium to reduce documentation burden: report-out and call for action

Hobensack, M., Levy, D. R., Cato, K., Detmer, D. E., Johnson, K. B., Williamson, J., Murphy, J., Moy, A., Withall, J., Lee, R., et al. (2022) · Applied Clinical Informatics

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 37

Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns

Mulvaney, S. A., Vaala, S., Hood, K. K., Lybarger, C., Carroll, R., Williams, L., Schmidt, D. C., Johnson, K., Dietrich, M. S., & Laffel, L. (2018) · Diabetes Technology & Therapeutics

Diabetes Management and EducationMobile Health and mHealth Applications

Cited by 29

Opportunities and challenges for biomarker discovery using electronic health record data

Singhal, P., Tan, A. L. M., Drivas, T. G., Johnson, K. B., Ritchie, M. D., & Beaulieu-Jones, B. K. (2023) · Trends in Molecular Medicine

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 21

Artificial Intelligence in Outpatient Primary Care: A Scoping Review on Applications, Challenges, and Future Directions

Iannone, S., Kaur, A., & Johnson, K. B. (2026) · Journal of General Internal Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 8