A framework for the oversight and local deployment of safe and high-quality prediction models.
Publication
, Journal Article
Bedoya, AD; Economou-Zavlanos, NJ; Goldstein, BA; Young, A; Jelovsek, JE; O'Brien, C; Parrish, AB; Elengold, S; Lytle, K; Balu, S; Huang, E ...
Published in: J Am Med Inform Assoc
August 16, 2022
Artificial intelligence/machine learning models are being rapidly developed and used in clinical practice. However, many models are deployed without a clear understanding of clinical or operational impact and frequently lack monitoring plans that can detect potential safety signals. There is a lack of consensus in establishing governance to deploy, pilot, and monitor algorithms within operational healthcare delivery workflows. Here, we describe a governance framework that combines current regulatory best practices and lifecycle management of predictive models being used for clinical care. Since January 2021, we have successfully added models to our governance portfolio and are currently managing 52 models.
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Published In
J Am Med Inform Assoc
DOI
EISSN
1527-974X
Publication Date
August 16, 2022
Volume
29
Issue
9
Start / End Page
1631 / 1636
Location
England
Related Subject Headings
- Medical Informatics
- Machine Learning
- Delivery of Health Care
- Artificial Intelligence
- Algorithms
- 46 Information and computing sciences
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
- 09 Engineering
Citation
APA
Chicago
ICMJE
MLA
NLM
Bedoya, A. D., Economou-Zavlanos, N. J., Goldstein, B. A., Young, A., Jelovsek, J. E., O’Brien, C., … Pencina, M. J. (2022). A framework for the oversight and local deployment of safe and high-quality prediction models. J Am Med Inform Assoc, 29(9), 1631–1636. https://doi.org/10.1093/jamia/ocac078
Bedoya, Armando D., Nicoleta J. Economou-Zavlanos, Benjamin A. Goldstein, Allison Young, J Eric Jelovsek, Cara O’Brien, Amanda B. Parrish, et al. “A framework for the oversight and local deployment of safe and high-quality prediction models.” J Am Med Inform Assoc 29, no. 9 (August 16, 2022): 1631–36. https://doi.org/10.1093/jamia/ocac078.
Bedoya AD, Economou-Zavlanos NJ, Goldstein BA, Young A, Jelovsek JE, O’Brien C, et al. A framework for the oversight and local deployment of safe and high-quality prediction models. J Am Med Inform Assoc. 2022 Aug 16;29(9):1631–6.
Bedoya, Armando D., et al. “A framework for the oversight and local deployment of safe and high-quality prediction models.” J Am Med Inform Assoc, vol. 29, no. 9, Aug. 2022, pp. 1631–36. Pubmed, doi:10.1093/jamia/ocac078.
Bedoya AD, Economou-Zavlanos NJ, Goldstein BA, Young A, Jelovsek JE, O’Brien C, Parrish AB, Elengold S, Lytle K, Balu S, Huang E, Poon EG, Pencina MJ. A framework for the oversight and local deployment of safe and high-quality prediction models. J Am Med Inform Assoc. 2022 Aug 16;29(9):1631–1636.
Published In
J Am Med Inform Assoc
DOI
EISSN
1527-974X
Publication Date
August 16, 2022
Volume
29
Issue
9
Start / End Page
1631 / 1636
Location
England
Related Subject Headings
- Medical Informatics
- Machine Learning
- Delivery of Health Care
- Artificial Intelligence
- Algorithms
- 46 Information and computing sciences
- 42 Health sciences
- 32 Biomedical and clinical sciences
- 11 Medical and Health Sciences
- 09 Engineering