환자 자기보고 정보 기반 비진단형 다중 분기 설문 프레임워크를 통한 의료 의사결정 오판 감소 구조 제안

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Authors: Seonwoo Lee
Cited by: 0

Abstract

This paper proposes a non-diagnostic, log-structured, multi-branch questionnaire frameworkdesigned to reduce medical decision errors caused by unstructured patient-reported information.The framework organizes self-reported data across temporal, behavioral, and response-based dimensionsand generates multiple outputs from identical inputs, including patient-oriented summaries,clinician-oriented contextual views, and safety-oriented “do-not-do” signals. The proposed system does not perform diagnosis, treatment, or prescription.It operates solely as a pre-decision safety layer to support professional judgmentby identifying informational risks, contradictions, and uncertainty patterns.

Fields of Study & Subjects

Electronic Health Records Systems Clinical Reasoning and Diagnostic Skills Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026