Health plans and physician groups increasingly use sophisticated tools to predict individual patient outcomes. Such analytics will accelerate as US medicine enters the digital age. Promising applications of forecasting include better targeting of disease management as well as innovative patient care approaches such as personalized health insurance and clinical decision support systems. In addition, stakeholders will use predictions to advance their organizational agendas, and unintended consequences could arise. Forecasting-based interventions might have uncertain effectiveness, focus on cost savings rather than long-term health, or specifically exclude disadvantaged populations. Policy makers, health plans, and method developers should adopt strategies that address these concerns in order to maximize the benefit of healthcare forecasting on the long-term health of patients.
机构:
Harvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Shriners Childrens Boston, Boston, MA 02115 USAHarvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Jaskiewicz, Justyna
Wolf, Susan M.
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机构:
Univ Minnesota, Consortium Law & Values Hlth Environm & Life Sci, Minneapolis, MN USAHarvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Wolf, Susan M.
Toner, Mehmet
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机构:
Harvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Shriners Childrens Boston, Boston, MA 02115 USAHarvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Toner, Mehmet
Sandlin, Rebecca D.
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机构:
Harvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Shriners Childrens Boston, Boston, MA 02115 USAHarvard Med Sch, Massachusetts Gen Hosp, Boston, MA 02115 USA
Sandlin, Rebecca D.
JOURNAL OF LAW MEDICINE & ETHICS,
2024,
52
(03):
: 624
-
636
机构:
Los Alamos Natl Lab, Los Alamos, NM 87545 USA
Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USALos Alamos Natl Lab, Los Alamos, NM 87545 USA