Clinical pathway (CP) is a plan for diagnosis, treatment, and nursing, having strict work order and exacting requirements on time, formulated by medical staff and other relevant personnel for the inspection, diagnosis, treatment, nursing, and rehabilitation guidance of some diseases, in order to improve the medical quality, standardize the medical behavior and reduce the medical cost. It is also a medical management tool [1] enabling patients to get the best quality of treatment. CP is an eff ective way to guarantee the medical quality and medical safety, while the electronic medical record (EMR) is both a business support system and an eff ective carrier and an important part of pathway information source. In the basic structure and data standard of electronic medical record published by the Ministry of Health, the CP is classifi ed as one of the groups for standard data on clinical documents, which lays a foundation for the normalization and standardization of clinical data, produces structured and standardized medical data for the EMR system, and provides a basis for the implementation of CP, thereby achieving the integration and intelligence of CP management, and achieving a CP which can be defi ned and confi gured, with an implementation that can be recorded and controlled, and eff ects that can be evaluated [2]. With the deepening of information construction in our hospital, the semi-structured EMR based on CP is a more practical construction scheme. Its construction is summarized below, so that the clinical staff can easily recognize and understand the process. CP design of EMRTh e CP framework in our hospital refers to the clinical pathway management guidelines (Trial) issued by the Ministry of Health, which mainly employs Chinese Medical Record English Edition, 2013; 1(8): 338-342 AbstractTo explore the basic idea, fl ow and functional modules in the construction of a semi-structured electronic medical record (EMR) based on a clinical pathway (CP), and to evaluate both the eff ects of its implementation and the existing problems. The adoption of a semi-structured EMR favors promoting the CP management, improving the medical quality, standardizing the medical behavior, and reducing the medical cost. Considering the great and far-reaching signifi cance in constructing a semi-structured EMR based on CP, we should increase the coverage of diseases implementing CP and rapidly develop a patient-centered, novel, semi-structured EMR at the same time.
Product configuration design is a key technique for mass customization. The management and organization of configuration knowledge are very important to the validity and efficiency of configuration design. With the increasing of parts' number and design complexity, the volume of configuration knowledge database expands rapidly, and the reasoning efficiency of configuration design is slow down rapidly. To solve above problems, take master structure model of configuration design into account, a method of product configuration knowledge expression based on ontology and tabular layouts of article characteristics (TLAC) was proposed. Product family based configuration model wais described using TLAC for those standardization parts and components. Configuration knowledge was expressed with ontology. The knowledge of non-standardization parts was integrated into extended TLAC. This method describes product configuration knowledge database effectively and facilitates sharing and reuse of domain knowledge.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.