文献类型：期刊文献

英文题名：MedSWFlow: An Open-Source LLM Workflow for Drafting Medical Social Work Case Plans

作者：Mao, Yulin[1]; Li, Shiyu[1]; Song, Shuping[1]; Zhang, Yuling[1]; Song, Yajun[1]

机构：[1] School of Social and Public Administration, East China University of Science and Technology, China

年份：2026

外文期刊名：arXiv

收录：EI(收录号：20260367616)

语种：英文

外文关键词：Behavioral research - Information systems - Information use - Open systems - Risk assessment

摘要：We present MedSWFlow, an open-source, model-agnostic LLM workflow for drafting medical social work case plans. The framework translates professional case-planning tasks into six stages: assessment, problem analysis, goal setting, intervention planning, risk anticipation, and planned effect evaluation. Drawing on established social work and behavioral frameworks, MedSWFlow standardizes case inputs, builds structured case profiles, and generates reviewable assessment forms and service plans through staged prompting. The system is released as an open-source research framework for reproducible case-plan generation across LLM providers. Outputs are intended as practitioner-reviewed drafts rather than final service decisions. Source code: https://github.com/santhiyacw-droid/MedSWFlow/tree/main. Copyright ? 2026, The Authors. All rights reserved.