A data-driven scoring framework for personalized employee health check-ups: Integrating historical laboratory trends and evidence-based prevalence.

Journal: International journal of medical informatics
Published Date: May 18, 2025

Abstract

INTRODUCTION: Rising healthcare costs and growing demand for personalized preventive care have highlighted the need for data-driven approaches to optimize health check-ups, particularly in corporate settings. This study presents a scoring-based platform designed to prioritize laboratory tests for individual employees by integrating historical health data with condition prevalence, aiming to improve the precision and efficiency of routine health assessments.

Authors

  • Saranya Thongsawaeng
    Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Siwapol Techaratsami
    School of Information Systems and Management, Heinz College, Carnegie Mellon University, Pittsburgh, USA.
  • Jidapa Hanvoravongchai
    Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Napatsorn Thewaran
    Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Piyawat Kantagowit
    Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Center of Excellence in Preventive and Integrative Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
  • Krit Pongpirul
    Center of Excellence in Preventive & Integrative Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan District, Bangkok, 10330, Thailand - Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, 1873 Rama IV Rd, Pathum Wan District, Bangkok, 10330, Thailand - Department of International Health, Johns Hopkins Bloomberg School of Public Health, 621 N. Washington Street, Baltimore, MD 21205, USA.

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