Cargando…
Use of Data-Driven Methods to Predict Long-term Patterns of Health Care Spending for Medicare Patients
IMPORTANCE: Current approaches to predicting health care costs generally rely on a single composite value of spending and focus on short time horizons. By contrast, examining patients’ spending patterns using dynamic measures applied over longer periods may better identify patients with different sp...
Autores principales: | Lauffenburger, Julie C., Mahesri, Mufaddal, Choudhry, Niteesh K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573679/ https://www.ncbi.nlm.nih.gov/pubmed/33074324 http://dx.doi.org/10.1001/jamanetworkopen.2020.20291 |
Ejemplares similares
-
Not there yet: using data-driven methods to predict who becomes costly among low-cost patients with type 2 diabetes
por: Lauffenburger, Julie C., et al.
Publicado: (2020) -
Costs of Prescription Drugs for Children and Parental Adherence to Long-Term Medications
por: Lauffenburger, Julie C., et al.
Publicado: (2023) -
Spending on and Use of Clinician-Administered Drugs in Medicare
por: Hyland, Megan F., et al.
Publicado: (2023) -
Evaluation of Spending Differences Between Beneficiaries in Medicare Advantage and the Medicare Shared Savings Program
por: Parikh, Ravi B., et al.
Publicado: (2022) -
Association of Potentially Modifiable Diabetes Care Factors With Glycemic Control in Patients With Insulin-Treated Type 2 Diabetes
por: Lauffenburger, Julie C., et al.
Publicado: (2020)