Kristine Huang
Biographic Data
| ID | 5534078 |
|---|---|
| NAME | Kristine Huang |
| GIVEN NAMES | Kristine |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG K |
| AFFILIATIONS | Department of Medicine, Cardiovascular Division, Washington University School of Medicine, St. Louis, MO |
| ORCID | 0000-0003-2769-5693 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Predicting Future Utilization Using Self-Reported Health and Health Conditions in a Longitudinal Cohort Study
Decision support techniques and online algorithms aim to help individuals predict costs and facilitate their choice of health insurance coverage. Self-reported health status (SHS), whereby patients rate their own health, could improve cost-prediction estimates without requiring individuals to share personal health information or know about undiagnosed conditions. We compared the predictive accuracy of several models: (1) SHS only, (2) a "basic" m…
Claims-based Frailty Indices
OBJECTIVE: The objective of this study was to evaluate claims-based frailty indices (CFIs) used to assess frailty on a population-based level. BACKGROUND: Frailty is a key determinant of patient outcomes, independent of demographics and comorbidities. Measuring frailty in large populations has implications for targeted interventions, public reporting, and risk adjustment. Frailty indices based on administrative data in health insurance claims all…
No prominent works on this page.
Claims-based Frailty Indices
OBJECTIVE: The objective of this study was to evaluate claims-based frailty indices (CFIs) used to assess frailty on a population-based level. BACKGROUND: Frailty is a key determinant of patient outcomes, independent of demographics and comorbidities. Measuring frailty in large populations has implications for targeted interventions, public reporting, and risk adjustment. Frailty indices based on administrative data in health insurance claims all…
Predicting Future Utilization Using Self-Reported Health and Health Conditions in a Longitudinal Cohort Study
Decision support techniques and online algorithms aim to help individuals predict costs and facilitate their choice of health insurance coverage. Self-reported health status (SHS), whereby patients rate their own health, could improve cost-prediction estimates without requiring individuals to share personal health information or know about undiagnosed conditions. We compared the predictive accuracy of several models: (1) SHS only, (2) a "basic" m…
Medicine (2 works) · Actuarial science (1 work) · Business (1 work) · Chronic Disease Management Strategies (1 work) · Cohort (1 work) · Computer Science (1 work) · Demographics (1 work) · Demography (1 work) · Econometrics (1 work) · Economics (1 work)