Development of a Predictive Hospitalization Model for Skilled Nursing Facility Patients
Machine learning models can accurately predict the likelihood of hospitalization or death within the next 7 days among SNF patients. These models do not require additional SNF staff time and may be useful in readmission reduction programs by targeting more frequent monitoring proactively to those at highest risk.
Authors
- Joseph G. Ouslander (ORCID: https://orcid.org/0000-0003-3985-5797)
- Jasmeet Kaur (ORCID: https://orcid.org/0000-0002-4507-8157)
- Ben Kandel
- Cheryl Field
- Dean Slawson
Institutions
- Intertek (Canada) (CA)
- Center Point (US)
- Florida Atlantic University (US)
Publication Details
- Journal
- Journal of the American Medical Directors Association
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1016/j.jamda.2024.105288
- Citations
- 4
- Primary Topic
- Geriatric Care and Nursing Homes
- Type
- article
- Field-Weighted Citation Impact
- 3.40