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Grigory Sidorenkov

Biographic Data

ID5539945
NAMEGrigory Sidorenkov
GIVEN NAMESGrigory
FAMILY NAMESidorenkov
SIGNATURESIDORENKOV G
AFFILIATIONSUniversity Medical Center Groningen
ORCID0000-0002-1926-8862
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Generating synthetic patient vignettes from real medical texts for the teaching of clinical reasoning

    Open Access•Ligia Maria Cayres Ribeiro, Grigory Sidorenkov et al.•ARTICLE•Medical Teacher•2026

    WHAT WAS THE EDUCATIONAL CHALLENGE?: Experience with simulated clinical cases is a relevant component in the development of clinical reasoning (CR). Generating and vetting cases that are locally relevant is, however, a complex and time-consuming process. WHAT IS THE PROPOSED SOLUTION?: We propose the use of generative artificial intelligence (AI) to create synthetic patients (SyP), in the form of narratives, based on real-world data describing pa…

  • Impact of health-related behavioral factors on participation in a cervical cancer screening program

    Open Access•Kelly Melisa Castañeda, Grigory Sidorenkov et al.•ARTICLE•BMC Public Health•2023

    An association exists between unhealthy behavioral factors and never or irregular participation in cervical cancer screening

  • Informing policy makers on the efficiency of population level tobacco control interventions in Asia

    Open Access•Ariuntuya Tuvdendorj, Yihui Du et al.•ARTICLE•Journal of Global Health•2020

  • Association Between Performance Measures and Glycemic Control Among Patients With Diabetes in a Community-wide Primary Care Cohort

    Grigory Sidorenkov, Jaco Voorham et al.•ARTICLE•Medical Care•2013•References: 30

    BACKGROUND: Performance measures are used for assessing quality of care. Higher performance shown by these measures is expected to reflect better care, but little is known whether they predict better patient outcomes. OBJECTIVE: To assess the predictive value of performance measures of glucose management on glycemic control, and evaluate the impact of patient characteristics on this association. RESEARCH DESIGN: Cohort study (2007-2009). SUBJECTS…

No prominent works on this page.

  • Association Between Performance Measures and Glycemic Control Among Patients With Diabetes in a Community-wide Primary Care Cohort

    Grigory Sidorenkov, Jaco Voorham et al.•ARTICLE•Medical Care•2013•References: 30

    BACKGROUND: Performance measures are used for assessing quality of care. Higher performance shown by these measures is expected to reflect better care, but little is known whether they predict better patient outcomes. OBJECTIVE: To assess the predictive value of performance measures of glucose management on glycemic control, and evaluate the impact of patient characteristics on this association. RESEARCH DESIGN: Cohort study (2007-2009). SUBJECTS…

  • Informing policy makers on the efficiency of population level tobacco control interventions in Asia

    Open Access•Ariuntuya Tuvdendorj, Yihui Du et al.•ARTICLE•Journal of Global Health•2020

  • Impact of health-related behavioral factors on participation in a cervical cancer screening program

    Open Access•Kelly Melisa Castañeda, Grigory Sidorenkov et al.•ARTICLE•BMC Public Health•2023

    An association exists between unhealthy behavioral factors and never or irregular participation in cervical cancer screening

  • Generating synthetic patient vignettes from real medical texts for the teaching of clinical reasoning

    Open Access•Ligia Maria Cayres Ribeiro, Grigory Sidorenkov et al.•ARTICLE•Medical Teacher•2026

    WHAT WAS THE EDUCATIONAL CHALLENGE?: Experience with simulated clinical cases is a relevant component in the development of clinical reasoning (CR). Generating and vetting cases that are locally relevant is, however, a complex and time-consuming process. WHAT IS THE PROPOSED SOLUTION?: We propose the use of generative artificial intelligence (AI) to create synthetic patients (SyP), in the form of narratives, based on real-world data describing pa…

Cohort (2 works) · Cohort study (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Artificial Intelligence in Healthcare and Education (1 works) · Biostatistics (1 works) · Cancer (1 works) · Cervical cancer (1 works) · Cervical Cancer and HPV Research (1 works) · Clinical Reasoning and Diagnostic Skills (1 works)

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