Predicting quality measure completion among 14 million low-income patients enrolled in medicaid
Abstract Low-income populations have disproportionately low completion of recommended healthcare services, from missed vaccinations to cancer screenings. While machine learning models help identify high-risk patients for targeted treatment, they have rarely been evaluated for quality measure gap com...
Saved in:
| Main Authors: | Sadiq Y. Patel, Michael L. Barnett, Sanjay Basu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01797-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cardiomyopathy Screening Adherence Among Medicaid‐Enrolled Long‐Term Survivors of Childhood Cancer
by: Xin Hu, et al.
Published: (2025-08-01) -
Regarding "Burden of Comorbidities and Healthcare Resource Utilization Among Medicaid-Enrolled Extremely Premature Infants"
by: Ava Tsapatsaris, et al.
Published: (2023-04-01) -
Telehealth Usability Among Rural and Low-Income Populations: A Survey of Wyoming Medicaid Members
by: Rafael Homer BS, et al.
Published: (2024-12-01) -
Community-based doulas and medicaid expansion: a resource-based approach to support the well-being of low-income postpartum women
by: Charlotte V. Farewell, et al.
Published: (2025-07-01) -
Facilitators and barriers to reach and enrollment into a medically tailored meals program within a section 1115 Medicaid pilot: clinic staff perspectives
by: Sara C. Folta, et al.
Published: (2025-02-01)