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K Lemke

Datos Biográficos

ID6780960
NOMBREK Lemke
NOMBRESK
APELLIDOLemke
FIRMALEMKE K
AFILIACIONESJohns Hopkins University
ORCID0000-0001-6936-5946
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS0
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2012
AÑO MÁS RECIENTE DE PUBLICACIÓN2024
ÍNDICE H0
  • Patterns of Morbidity Across the Lifespan

    Open Access•Klaus W Lemke, K Lemke et al.•ARTICLE•Medical Care•2024•Referencias: 21

    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…

  • The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2020•Referencias: 15

    BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…

  • Care Coordination - How can we measure it

    Open Access•Karen Kinder, Craig Evan Pollack et al.•ARTICLE•International Journal of…•2016

    The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021

  • Identifying Consistent High-cost Users in a Health Plan

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2016•Referencias: 16

    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

    Craig Evan Pollack, Klaus W Lemke et al.•ARTICLE•Medical Care•2015•Referencias: 19

    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

    Klaus W Lemke, K Lemke et al.•ARTICLE•Medical Care•2012•Referencias: 23

    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

    Klaus W Lemke, K Lemke et al.•ARTICLE•Medical Care•2012•Referencias: 23

    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

    Craig Evan Pollack, Klaus W Lemke et al.•ARTICLE•Medical Care•2015•Referencias: 19

    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…

  • Care Coordination - How can we measure it

    Open Access•Karen Kinder, Craig Evan Pollack et al.•ARTICLE•International Journal of…•2016

    The International Journal of Integrated Care (IJIC) is an online, open-access, peer-reviewed scientific journal that publishes original articles in the field of integrated care on a continuous basis.IJIC has an Impact Factor of 2.913 (2021 JCR, received in June 2022)The IJIC 20th Anniversary Issue was published in 2021

  • Identifying Consistent High-cost Users in a Health Plan

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2016•Referencias: 16

    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…

  • The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models

    Hsien-Yen Chang, Hsien‐Yen Chang et al.•ARTICLE•Medical Care•2020•Referencias: 15

    BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…

  • Patterns of Morbidity Across the Lifespan

    Open Access•Klaus W Lemke, K Lemke et al.•ARTICLE•Medical Care•2024•Referencias: 21

    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 (5 obras) · Emergency Medicine (4 obras) · Emergency Medicine (4 obras) · Health care (4 obras) · Internal Medicine (4 obras) · Internal Medicine (4 obras) · Logistic regression (4 obras) · Chronic Disease Management Strategies (3 obras) · Environmental health (2 obras) · Family medicine (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae