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