Klaus W Lemke
Datos Biográficos
| ID | 5536003 |
|---|---|
| NOMBRE | Klaus W Lemke |
| NOMBRES | Klaus W |
| APELLIDO | Lemke |
| FIRMA | LEMKE K W |
| AFILIACIONES | Department of Health Policy & Management |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 0 |
Patterns of Morbidity Across the Lifespan
BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using ins…
Identifying Consistent High-cost Users in a Health Plan
BACKGROUND: High-cost users in a period may not incur high-cost utilization in the next period. Consistent high-cost users (CHUs) may be better targets for cost-saving interventions. OBJECTIVES: To compare the characteristics of CHUs (patients with plan-specific top 20% medical costs in all 4 half-year periods across 2008 and 2009) and point high-cost users (PHUs) (top users in 2008 alone), and to build claims-based models to identify CHUs. RESEA…
Patient Sharing and Quality of Care
BACKGROUND: With the goal of improving clinical efficiency and effectiveness, programs to enhance care coordination are a major focus of health care reform. OBJECTIVE: To examine whether "care density"--a claims-based measure of patient sharing by office-based physicians--is associated with measures of quality. Care density is a proxy measure that may reflect how frequently a patient's doctors collaborate. RESEARCH DESIGN: Cohort study using admi…
Development and Validation of a Model for Predicting Inpatient Hospitalization
BACKGROUND: Hospitalizations are costly for health insurers and society. OBJECTIVES: To develop and validate a predictive model for acute care hospitalization from administrative claims for a population including all age groups. RESEARCH DESIGN: We constructed a retrospective cohort study using a US health plan claims database, including annual person-level files with demographic markers, and morbidity and utilization measures. We developed and v…
Sin obras prominentes en esta página.
Development and Validation of a Model for Predicting Inpatient Hospitalization
BACKGROUND: Hospitalizations are costly for health insurers and society. OBJECTIVES: To develop and validate a predictive model for acute care hospitalization from administrative claims for a population including all age groups. RESEARCH DESIGN: We constructed a retrospective cohort study using a US health plan claims database, including annual person-level files with demographic markers, and morbidity and utilization measures. We developed and v…
Patient Sharing and Quality of Care
BACKGROUND: With the goal of improving clinical efficiency and effectiveness, programs to enhance care coordination are a major focus of health care reform. OBJECTIVE: To examine whether "care density"--a claims-based measure of patient sharing by office-based physicians--is associated with measures of quality. Care density is a proxy measure that may reflect how frequently a patient's doctors collaborate. RESEARCH DESIGN: Cohort study using admi…
Identifying Consistent High-cost Users in a Health Plan
BACKGROUND: High-cost users in a period may not incur high-cost utilization in the next period. Consistent high-cost users (CHUs) may be better targets for cost-saving interventions. OBJECTIVES: To compare the characteristics of CHUs (patients with plan-specific top 20% medical costs in all 4 half-year periods across 2008 and 2009) and point high-cost users (PHUs) (top users in 2008 alone), and to build claims-based models to identify CHUs. RESEA…
Patterns of Morbidity Across the Lifespan
BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using ins…
Medicine (4 obras) · Chronic Disease Management Strategies (3 obras) · Emergency Medicine (3 obras) · Emergency Medicine (3 obras) · Health care (3 obras) · Internal Medicine (3 obras) · Internal Medicine (3 obras) · Logistic regression (3 obras) · Environmental health (2 obras) · Odds (2 obras)