支持Prim CDSS:基于微服务的临床决策支持系统架构,用于非特定的肌肉骨疾病
Amar Jaiswal1, Mohit Kumar2, Ingebrigt Meisingset3
1Department of Computer Science (IDI), NTNU, Trondheim, 7491, Norway; Avadh Premium International LLP (A-VADH), Hathigo, Bikapur, Ayodhya, 224209, Uttar Pradesh, India.
International journal of medical informatics
|May 7, 2025
概括
支持Prim临床决策支持系统 (CDSS) 使用基于案例的推理 (CBR) 和微服务来增强肌肉骨疾病 (MSD) 的个性化护理. 它显示出高可靠性,并帮助临床医生在基于证据的决策.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 初级保健研究研究初级保健研究
背景情况:
- 非特异性肌肉骨疾病 (MSDs) 在初级保健中存在诊断和治疗挑战.
- 现有的方法往往缺乏个性化和基于证据的支持,用于MSD管理.
- 模两可的症状和各种原因使有效的MSD护理复杂化.
研究的目的:
- 引入SupportPrim临床决策支持系统 (CDSS).
- 将基于案例的推理 (CBR) 与可扩展的MSD护理微服务框架相结合.
- 增强个人化治疗和临床决策在MSDs的初级保健.
主要方法:
- 为SupportPrim CDSS开发了一个模块化微服务架构.
- 利用优化的CBR引擎来处理患者数据并检索先例病例.
- 进行了严格的评估,包括代实验和挪威初级保健中的随机对照试验 (RCT).
主要成果:
- 支持Prim CDSS 显示出高可靠性,停机时间最小.
- 平均病例检索响应时间为0.18秒,表明性能高效.
- 临床医生报告了积极的用户互动,支持共享决策和个性化护理.
结论:
- 支持Prim CDSS有效地使用CBR和微服务以提供基于证据的个性化MSD护理.
- 该系统的强大设计和验证证实了其在临床决策支持中的实用性.
- 它有可能在医疗保健环境中得到更广泛的应用,以改善患者的治疗结果.
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