TY - GEN
T1 - Mitigating the Price of Diagnostic Discrepancies
T2 - 2025 Americas Conference on Information Systems, AMCIS 2025
AU - Youn, Seokjun
AU - Lan, Yingchao
N1 - Publisher Copyright:
© (2025) by Association for Information Systems (AIS) All rights reserved.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Diagnostic discrepancy
KW - healthcare delivery efficiency
KW - physician experience
UR - https://www.scopus.com/pages/publications/105025142375
UR - https://www.scopus.com/pages/publications/105025142375#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:105025142375
T3 - Americas Conference on Information Systems, AMCIS 2025
SP - 3256
EP - 3265
BT - Americas Conference on Information Systems, AMCIS 2025
PB - Association for Information Systems
Y2 - 14 August 2025 through 16 August 2025
ER -