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Mitigating the Price of Diagnostic Discrepancies: A Multi-Experience Lens on Healthcare Delivery Efficiency

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Diagnostic discrepancies, when initial diagnoses differ from those established during treatment, undermine healthcare efficiency, patient outcomes, and costs. Using patient-level data from Florida hospitals, this study examines how such discrepancies affect healthcare delivery efficiency (total charges) and how physicians' experience influences this relationship. Two types of experience are considered: focal (similar cases) and related (diverse conditions). Results show diagnostic discrepancies raise total charges by 9%. Greater focal experience mitigates these costs, while higher related experience increases them. Robustness checks and instrumental variable analyses confirm these findings, highlighting timely, accurate diagnosis as a key operational factor. To reduce discrepancies, healthcare managers can adopt enhanced physician training, decision aids, and experience-based criteria. Strategically allocating experienced physicians and investing in skill development will improve patient care, optimize resources, and curb unnecessary costs, ultimately fostering more efficient and effective healthcare systems.

Original languageEnglish (US)
Title of host publicationAmericas Conference on Information Systems, AMCIS 2025
PublisherAssociation for Information Systems
Pages3256-3265
Number of pages10
ISBN (Electronic)9798331327743
StatePublished - 2025
Event2025 Americas Conference on Information Systems, AMCIS 2025 - Montreal, Canada
Duration: Aug 14 2025Aug 16 2025

Publication series

NameAmericas Conference on Information Systems, AMCIS 2025
Volume5

Conference

Conference2025 Americas Conference on Information Systems, AMCIS 2025
Country/TerritoryCanada
CityMontreal
Period8/14/258/16/25

Keywords

  • Diagnostic discrepancy
  • healthcare delivery efficiency
  • physician experience

ASJC Scopus subject areas

  • Information Systems

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