基于事件驱动的临床决策知识推理模型

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"支持临床决策的知识推理模型是利用人工智能技术，特别是知识表示和推理方法，来辅助医生进行更准确、更有效的医疗决策。该模型旨在解决临床决策中的复杂性和不确定性，通过整合医学知识，实现对临床诊断和治疗过程的智能化支持。在临床决策支持系统（CDSS）中引入知识推理模型，可以显著提升系统的决策能力。这个模型不仅考虑了临床决策的独特性，还结合了临床诊断的实际工作流程。具体来说，模型的结构设计是基于事件驱动的，这意味着它能够实时响应医疗行为中的新事件，并据此动态调整决策过程。事件驱动的方法允许CDSS对复杂的医疗决策行为提供支持，例如，当新的患者症状、检查结果或医疗历史出现时，系统能即时分析这些信息，生成相应的诊断建议或治疗方案。这种方法强调实时性，确保了医生在处理紧急情况时，能得到及时且有针对性的决策指导。此外，该模型还包含了一套综合的临床决策制定方法，这涵盖了从病史采集、病症分析到治疗策略选择的全过程。通过知识的整合和推理，模型可以模拟临床专家的思维过程，帮助医生识别潜在的疾病关联，减少误诊可能性，并优化治疗计划。支持临床决策的知识推理模型通过智能分析和推理，增强了CDSS在临床实践中的实用性，有助于提高医疗服务的质量和效率，减轻医生的工作负担，最终改善患者诊疗体验。这种创新性的技术应用，对于推动医疗信息化的发展和医疗服务质量的提升具有重要意义。"

M. Bursa et al. (Eds.): ITBAM 2014, LNCS 8649, pp. 75–78, 2014.

Knowledge Reasoning Model

to Support Clinical Decision Making

Qingshan Li

, Jing Feng

, Lu Wang

, Hua Chu

, and WeiJuan Fu

Software Engineering Institute, Xidian University, Xi’an 710071, China

Xidian Hospital, Xidian University, Xi’an 710071, China

qshli@mail.xidian.edu.cn

Abstract. According to the characteristics of clinical decision-making and the

actual work of clinical diagnosis, this paper presents to introduce the knowledge

reasoning model about the clinical diagnosis and treatment into the clinical

decision support systems (CDSS) to enhance the decision-making ability. Fur-

thermore, a kind of structure of the reasoning model and a comprehensive me-

thod of the clinical decision making based on event-driven is also proposed in

this paper. This method can dynamically adjust to new medical behavioral

events, support the complex medical decision-making behavior, make the

CDSS to better support the real-time clinical diagnosis and treatment decisions,

so as to effectively assist clinicians in clinical diagnosis and treatment work,

and improve normalization and accuracy in medical work.

Keywords: Clinical Decision Making, Knowledge Reasoning Model, Event

Driven.

With the deepening of medical information, doctors as the main body of medical be-

havior mainly rely on the professional knowledge learning and the accumulation of

personal experience to provide medical services for patients. They not only need to

access, understand and use a large number of patients’ medical records information to

implement medical treatment for patients, especially for high-risk patients or patients

with rare diseases, but also need more experience in clinical diagnosis and treatment,

medical software and hardware equipment support in hospitals. Because of unevenly

medical resources distribution of our country’s medical industry and junior doctors’

limited experience, the number of medical errors is relatively large.

Discussion and study on the mechanism and method of clinical decision making

will play a key role in improving the decision-making reasoning ability of clinical

decision support system. We discuss how to reasonably and efficiently make use of

clinical expertise and patients’ medical record data, with flexible, efficient and accu-

rate reasoning method, to make decision reasoning has a very important practical

medical value and significance.

1 The Research of Knowledge Reasoning Model

In order to improve the decision-making reasoning ability of clinical decision support

system, to achieve flexible and efficient automatic clinical decision-making reasoning,

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