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Chintan J Pandya

Datos Biográficos

ID5540173
NOMBREChintan J Pandya
NOMBRESChintan J
APELLIDOPandya
FIRMAPANDYA C J
AFILIACIONESDepartment of Health Policy and Management, Center for Population Health IT, Johns Hopkins School of Public Health, Baltimore, MD
VERIFICADONo
TOTAL DE OBRAS2
TOTAL DE CITAS0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
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…

  • Latent Class Analysis of Social Needs in Medicaid Population and Its Impact on Risk Adjustment Models

    Chintan Pandya, Chintan J Pandya et al.•ARTICLE•Medical Care•2024•Referencias: 27

    BACKGROUND: A growing number of US states are implementing programs to address the social needs (SNs) of their Medicaid populations through managed care contracts. Incorporating SN might also improve risk adjustment methods used to reimburse Medicaid providers. OBJECTIVES: Identify classes of SN present within the Medicaid population and evaluate the performance improvement in risk adjustment models of health care utilization and cost after incor…

Sin obras prominentes en esta página.

  • 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…

  • Latent Class Analysis of Social Needs in Medicaid Population and Its Impact on Risk Adjustment Models

    Chintan Pandya, Chintan J Pandya et al.•ARTICLE•Medical Care•2024•Referencias: 27

    BACKGROUND: A growing number of US states are implementing programs to address the social needs (SNs) of their Medicaid populations through managed care contracts. Incorporating SN might also improve risk adjustment methods used to reimburse Medicaid providers. OBJECTIVES: Identify classes of SN present within the Medicaid population and evaluate the performance improvement in risk adjustment models of health care utilization and cost after incor…

Chronic Disease Management Strategies (2 obras) · Environmental health (2 obras) · Family medicine (2 obras) · Gerontology (2 obras) · Gerontology (2 obras) · Health care (2 obras) · Medicaid (2 obras) · Medicine (2 obras) · Population (2 obras) · Computer Science (1 obras)

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