Downing, N. Lance
Stanford Medicine · Stanford University
7 papers on CoChatORCID 0000-0002-2133-9244
Most cited papers
- Verified
Physician Burnout in the Electronic Health Record Era: Are We Ignoring the Real Cause?
Downing, N. L., Bates, D. W., & Longhurst, C. A. (2018) · Annals of Internal Medicine
Electronic Health Records SystemsHealthcare professionals’ stress and burnout
Cited by 418
- Verified
A computer vision system for deep learning-based detection of patient mobilization activities in the ICU
Yeung, S., Rinaldo, F., Jopling, J., Liu, B., Mehra, R., Downing, N. L., Guo, M., Bianconi, G. M., Alahi, A., Lee, J., et al. (2019) · npj Digital Medicine
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 125
- Verified
Electronic health record-based clinical decision support alert for severe sepsis: A randomised evaluation.
Downing, N. L., Rolnick, J., Poole, S. F., Hall, E., Wessels, A. J., Heidenreich, P., & Shieh, L. (2019) · BMJ Quality & Safety
Sepsis Diagnosis and TreatmentElectronic Health Records Systems
Cited by 112
- Verified
Differences in total and after-hours electronic health record time across ambulatory specialties.
Rotenstein, L. S., Holmgren, A. J., Downing, N. L., & Bates, D. W. (2021) · JAMA Internal Medicine
Electronic Health Records SystemsCOVID-19 and Mental Health
Cited by 101
- Verified
Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems
Callahan, A., McElfresh, D., Banda, J. M., Bunney, G., Char, D., Chen, J., Corbin, C. K., Dash, D., Downing, N. L., Jain, S. S., et al. (2024) · NEJM Catalyst
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 61
- Verified
Differences in clinician electronic health record use across adult and pediatric primary care specialties
Rotenstein, L. S., Holmgren, A. J., Downing, N. L., Longhurst, C. A., & Bates, D. W. (2021) · JAMA Network Open
Electronic Health Records SystemsMedical Coding and Health Information
Cited by 31
- Verified
User-centred design for machine learning in health care: a case study from care management
Seneviratne, M. G., Li, R. C., Schreier, M., Lopez-Martinez, D., Patel, B. S., Yakubovich, A., Kemp, J. B., Loreaux, E., Gamble, P., El-Khoury, K., et al. (2022) · BMJ Health & Care Informatics
Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare
Cited by 23
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