Pairing AI-Powered Predictions With High-Touch Care: Article examines artificial intelligence and high-touch care
Abstract
In Los Angeles, California, predictive analytics help identify high-risk patients who receive intense care management to avert hospital admissions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Large health systems apply predictive analytics to identify high-risk patients using socioeconomic factors.
“Large health systems apply predictive analytics to identify high‐risk patients using socioeconomic factors, and proactive care management programs have reduced preventable hospital admissions by 27% among high‐risk participants [8].”
Proactive care management programs have reduced preventable hospital admissions by 27% among high-risk participants.
“Large health systems apply predictive analytics to identify high‐risk patients using socioeconomic factors, and proactive care management programs have reduced preventable hospital admissions by 27% among high‐risk participants [8].”
Cites
Dissecting racial bias in an algorithm used to manage the health of populations
Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019) · Science · doi:10.1126/science.aax2342 · Cited by 7,137 · see citing works
Desai, R. J., Wang, S. V., Vaduganathan, M., Evers, T., & Schneeweiß, S. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.18962 · Cited by 294 · see citing works
Nong, P., Adler-Milstein, J., Apathy, N. C., Holmgren, A. J., & Everson, J. (2025) · Health Affairs · doi:10.1377/hlthaff.2024.00842 · Cited by 104 · see citing works
Proactive Care Management of AI-Identified At-Risk Patients Decreases Preventable Admissions
Raldow, A. C., Raja, N., Villaflores, C. W. A., Skootsky, S. A., Jaureguy, E. A., Rosenstein, H. L., Meshkat, S. D., Vangala, S. S., & Sarkisian, C. A. (2024) · The American Journal of Managed Care · doi:10.37765/ajmc.2024.89625 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Razzano, A. V. (2026) · Health Science Reports · doi:10.1002/hsr2.73083
- Authors
- Marill, M. C.
- Affiliations
- Michele Cohen Marill () is an independent health journalist based in Atlanta, Georgia. This article is part of a featured topic, Accountable Care For Population Health. Health Affairs is grateful to Arnold Ventures for their ongoing support of this topic.
- Corresponding author
- Marill, Michele Cohen
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2025-11-01
- Volume
- 44
- Issue
- 11
- Pages
- 1330-1335
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W4415826688
- Cited by
- 1
- References
- 4
- Citations by year
- 2026: 1
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Health Affairs (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- predictive analytics, care management, high-risk patients, hospital readmission prevention, artificial intelligence in healthcare, Los Angeles
- MeSH terms
- Artificial Intelligence, Hospitalization, Humans, Los Angeles
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
