Clinical pathway variation detection method based on Petri net synchronous synthesis operation

A technology of clinical paths and synthetic operations, applied in electronic clinical trials, medical data mining, computer-aided medical procedures, etc., to achieve the effect of reducing the time consumed by alignment

Pending Publication Date: 2022-01-14
SHANDONG UNIV OF SCI & TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Although the above existing technologies have made some progress in the research of business alignment, there is still room for improvement in the efficiency of business alignment

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Clinical pathway variation detection method based on Petri net synchronous synthesis operation
  • Clinical pathway variation detection method based on Petri net synchronous synthesis operation
  • Clinical pathway variation detection method based on Petri net synchronous synthesis operation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The present invention proposes a clinical path variation detection method based on Petri net synchronous synthesis operation. In order to make the advantages and technical solutions of the present invention clearer and clearer, the present invention will be described in detail below in conjunction with specific embodiments.

[0057] 1. In order to facilitate the understanding of the present invention, firstly, concepts such as trace and diagnosis and treatment log, Petri net system, reachability graph and alignment mentioned in the present invention are described below.

[0058] Definition 1: Traces and medical logs

[0059] Let A be an activity set. If there is a process instance, that is, an activity sequence σ∈A * , then σ is said to be a trace. If there exists a non-empty multiset L∈β(A * ), then L is called a diagnosis and treatment log. Among them: A * Represents the set of all finite sequences on the set A; β(A * ) means set A * The set of all multisets on...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a clinical pathway variation detection method based on Petri net synchronous synthesis operation, and relates to the technical field of data detection and calculation. The technical problem that in the prior art, variation detection efficiency is low when a business alignment means is used for conducting variation detection on clinical pathways is solved, and the detection method comprises the following steps that firstly, traces in clinical pathway diagnosis and treatment logs are screened, noise is removed, and effective traces are reserved; then, based on the effective traces and the process models corresponding to the effective traces, a new synthesis model is established, and the new synthesis model can reflect the deviation between the diagnosis and treatment logs and the clinical pathways; and finally, the optimal alignment is searched by adopting an A * algorithm in which the time complexity is positively correlated with the complexity of the selected synthetic model. According to the method, the time consumed by alignment can be greatly reduced, experimental data in the embodiment of the invention shows that compared with other variation detection algorithms, the efficiency of the algorithm is greatly improved, and the superiority and the effectiveness of the algorithm in the aspect of variation detection are proved.

Description

technical field [0001] The invention relates to the technical field of data detection and calculation, in particular to a clinical path variation detection method based on Petri net synchronous synthesis operation. Background technique [0002] In recent years, with the intensification of population aging, the medical system is under increasing pressure. Therefore, adopting a clinical approach that can standardize medical behavior, improve medical quality, and control medical costs has become an inevitable choice for my country's medical reform. With the strong support of the state, the current clinical pathway has entered the stage of large-scale promotion. [0003] The essence of the clinical pathway is to adopt a standardized process for the diagnosis and treatment of a certain disease. However, in the actual implementation of clinical pathways, there may be problems such as patients not understanding the implementation standards of clinical pathways, and medical staff's...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/20G16H50/70G16H50/80
CPCG16H10/20G16H50/70G16H50/80
Inventor 田银花李昕燃韩咚牛晓琳高玲玲
Owner SHANDONG UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap