Clinical acupuncture evidence-based decision support system and application method thereof

Abstract

The invention discloses a clinical acupuncture evidence-based decision support system and an application method thereof. The system comprises a data preprocessing module, a data importing and updating module, an electronic medical record module, a diagnosis decision-making module, a treat decision-making module, a system auxiliary module, a result output module and a databank. According to the system, decision-making mechanisms of the evidence-based medicine are blended into a decision-making scheme of a CDSS (Clinical Decision Support System), the evidence utilization is used as the core, an electronic medical record technique is embedded into a clinical acupuncture diagnosis and treat process so as to integrate an evidence-based databank and a data mining model, a clinical acupuncture evidence-based auxiliary support system in which the evaluation, storage, analysis and utilization of acupuncture research evidences are integrated is established, and a convenient and rapid man-machine interaction platform is provided for the effective utilization of the acupuncture research evidences. With the adoption of the system, the requirements of doctors in the overall clinical diagnosis and treat process are met well, and the alternative thinking process of diagnosis and treat is effectively supported, so that a treat scheme which is proposed finally is an optimal scheme obtained from literature evaluation, so that the clinical acupuncture evidence-based decision support system has relatively high clinical adaptation.

Description

technical field [0001] The invention relates to an acupuncture clinical evidence-based decision support system and an application method thereof. Background technique [0002] Acupuncture and moxibustion belongs to traditional medicine. At present, the decision-making mode of acupuncture and moxibustion clinical diagnosis and treatment is mainly based on experience, that is, the decision-making plan generally depends on the doctor's intuition, past experience and existing knowledge structure. However, this experience-based traditional clinical practice model pays little attention to or even ignores the role and utilization of external scientific research evidence. Therefore, to a certain extent, it hinders the further improvement of the clinical efficacy of acupuncture and moxibustion, and hinders the inheritance and development of acupuncture and moxibustion. , and the promotion and application of acupuncture and moxibustion therapy. [0003] At the same time, there are ma...

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Problems solved by technology

[0012] (2) The rise of modern evidence-based medicine provides reference ideas and methods for the transformation of acupuncture clinical decision-making mode. However, the whole set of methods and techniques of evidence-based medicine based on modern medicine are not suitable for the characteristics and development of acupuncture and moxibustion. The main problem to be solved is to establish a set of evidence evaluation methods and clinical decision-making methods that conform to the characteristics of acupuncture and moxibustion and are accepted and recognized by the academic community;

[0013] (3) The long-term clinical practice of acupuncture and moxibustion has accumulated a large amount of ancient and modern research literature, and clinicians have many difficulties in finding and obtaining evidence. Modern database technology is urgently needed to provide a data platform for the centralized storage and management of acupuncture and moxibustion clinical research evidence, and then in-depth analysis and utilization ;

[0014] (4) The evidence evaluation and analysis methods of evidence-based medicine focus on the evaluation of the effectiveness or safety of the treatment plan, but no in-depth research has been conducted on the extraction of research evidence rules

[0015] (5) In theory, the clinical decision support system (CDSS) can effectively and quickly improve the diagnosis and treatment efficiency of clinicians and reduce the rate of misdiagnosis and mistreatment in the optimal way, but due to many reasons, it can be accepted by doctors and put into actual clinical use there are still many difficulties

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