Predictive Analytics Programs at Large Healthcare Systems in the USA: a National Survey
- 08.04.2022
- Concise Research Report
Erschienen in:
- Verfasst von
- Juan C. Rojas, MD
- Gordon Rohweder, MBA
- Janet Guptill, MPH
- Vineet M. Arora, MD, MAPP
- Craig A. Umscheid, MD, MS
- Erschienen in
- Journal of General Internal Medicine | Ausgabe 15/2022
Auszug
Predictive analytics in healthcare has generated growing enthusiasm, fueled by the availability of rich patient data from electronic health records and a growing body of published predictive models, such as those predicting hospital readmission and clinical deterioration1. Predictive analytics applies techniques from data mining, statistics, modeling, and artificial intelligence to use data to make predictions about risk1. In healthcare, these approaches offer opportunities to improve clinical outcomes, reduce costs, and support population health2. However, little is known about how healthcare systems organize and manage predictive analytics at the hospital or system level to ensure safe, effective, transparent, and equitable algorithm deployment2. …
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- Titel
- Predictive Analytics Programs at Large Healthcare Systems in the USA: a National Survey
- Verfasst von
-
Juan C. Rojas, MD
Gordon Rohweder, MBA
Janet Guptill, MPH
Vineet M. Arora, MD, MAPP
Craig A. Umscheid, MD, MS
- Publikationsdatum
- 08.04.2022
- Verlag
- Springer International Publishing
- Erschienen in
-
Journal of General Internal Medicine / Ausgabe 15/2022
Print ISSN: 0884-8734
Elektronische ISSN: 1525-1497 - DOI
- https://doi.org/10.1007/s11606-022-07517-1
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