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Chintan Pandya

Datos Biográficos

ID4238062
NOMBREChintan Pandya
NOMBRESChintan
APELLIDOPandya
FIRMAPANDYA C
AFILIACIONESJohns Hopkins University
ORCID0000-0002-4930-9709
VERIFICADOSí
TOTAL DE OBRAS4
TOTAL DE CITAS0
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2024
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Between Assets and Outcomes

    Open Access•Chintan Pandya•ARTICLE•Journal of Creative Communications•2026

    This research investigates the intersection of research productivity, library resource allocation and placement outcomes within top-ranked private B-schools in India. Using a quantitative approach and purposive sampling, the study analyses 12 elite private institutions ranked in NIRF 2025. Data were synthesised from institutional research and publication metrics from Scopus and Web of Science, benchmarked against globally recognised lists (ABDC, …

  • Measuring the Impact of Data Quality and Computable Phenotypes on Potential Racial Disparities in Predicting Healthcare Utilization Among Type 2 Diabetes Populations

    Open Access•Priyanka Dua Sood, Star Liu et al.•ARTICLE•Journal of Racial and Ethnic…•2025•Referencias: 25

  • 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…

  • Measuring the Impact of Data Quality and Computable Phenotypes on Potential Racial Disparities in Predicting Healthcare Utilization Among Type 2 Diabetes Populations

    Open Access•Priyanka Dua Sood, Star Liu et al.•ARTICLE•Journal of Racial and Ethnic…•2025•Referencias: 25

  • Between Assets and Outcomes

    Open Access•Chintan Pandya•ARTICLE•Journal of Creative Communications•2026

    This research investigates the intersection of research productivity, library resource allocation and placement outcomes within top-ranked private B-schools in India. Using a quantitative approach and purposive sampling, the study analyses 12 elite private institutions ranked in NIRF 2025. Data were synthesised from institutional research and publication metrics from Scopus and Web of Science, benchmarked against globally recognised lists (ABDC, …

Chronic Disease Management Strategies (3 obras) · Environmental health (3 obras) · Gerontology (3 obras) · Health care (3 obras) · Medicine (3 obras) · Family medicine (2 obras) · Gerontology (2 obras) · Internal Medicine (2 obras) · Medicaid (2 obras) · Population (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