scholarly journals A Smart Healthcare Knowledge Service Framework for Hierarchical Medical Treatment System

Healthcare ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 32
Author(s):  
Yi Xie ◽  
Dongxiao Gu ◽  
Xiaoyu Wang ◽  
Xuejie Yang ◽  
Wang Zhao ◽  
...  
Keyword(s):  
Clinical Teaching ◽  
Service System ◽  
Medical Knowledge ◽  
Pilot Project ◽  
Diagnostic Tools ◽  
Case Based Reasoning ◽  
Knowledge Service ◽  
Knowledge Reasoning ◽  
Smart Healthcare ◽  
Case Based

This paper reveals the research hotspots and development directions of case-based reasoning in the field of health care, and proposes the framework and key technologies of medical knowledge service systems based on case-based reasoning (CBR) in the big data environment. The 2124 articles on medical CBR in the Web of Science were visualized and analyzed using a bibliometrics method, and a CBR-based knowledge service system framework was constructed in the medical Internet of all people, things and data resources environment. An intelligent construction method for the clinical medical case base and the gray case knowledge reasoning model were proposed. A cloud-edge collaboration knowledge service system was developed and applied in a pilot project. Compared with other diagnostic tools, the system provides case-based explanations for its predicted results, making it easier for physicians to understand and accept, so that they can make better decisions. The results show that the system has good interpretability, has better acceptance than the common intelligent decision support system, and strongly supports physician auxiliary diagnosis and treatment as well as clinical teaching.

scholarly journals Knowledge Service Technology for Supporting Intelligent Product Design

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Haiqiao Wang ◽  
Ruikun Niu
Keyword(s):  
Decision Making ◽  
Intelligent Design ◽  
Measurement Method ◽  
Numerical Control ◽  
Similarity Measurement ◽  
Case Based Reasoning ◽  
Knowledge Service ◽  
Knowledge Based ◽  
Weight Coefficients ◽  
Case Based

In this paper, a knowledge service method that supports the intelligent design of products is investigated. The proposed method provides the solutions to computational problems and reasoning and decision-making problems in the field of intelligent design. The requirement analysis of a knowledge-based intelligent design system integrates design knowledge into case-based reasoning activities through scheme analysis, scheme evaluation, and scheme adjustment, thus achieving knowledge-based intelligent reasoning and decision-making. During the similarity matching, a new hybrid similarity measurement method is proposed to calculate the similarity of crisp and fuzzy sets. This method integrates the fuzzy set similarity theory based on the traditional similarity measurement method. A method of attribute level classification is proposed to assign weight coefficients. The attributes are divided into the primary matching and auxiliary matching levels according to the decisiveness of case matching, and the set of weight coefficients is continuously and dynamically updated through case-based reasoning learning. Then, the weighted global similarity measure is used to obtain the set of similar cases from the case database. Finally, a design example of a computer numerical control tool holder product is studied to present the practicability and effectiveness of the proposed method.

A self-improving helpdesk service system using case-based reasoning techniques

1996 ◽  
Vol 30 (2) ◽  
pp. 113-125 ◽  
Author(s):  
Kai H. Chang ◽  
Pradeep Raman ◽  
W.Homer Carlisle ◽  
James H. Cross
Keyword(s):  
Service System ◽  
Case Based Reasoning ◽  
Case Based

Case-based reasoning

2020 ◽  
Vol 8 (2) ◽  
pp. 207
Author(s):  
Mark Tonelli
Keyword(s):  
Clinical Decision Making ◽  
Medical Knowledge ◽  
Clinical Decision ◽  
Case Based Reasoning ◽  
Evidence Based ◽  
Therapeutic Decisions ◽  
Practice Of Medicine ◽  
Centered Care ◽  
Based Medicine ◽  
Case Based

The clinical case has been central to the practice of medicine since its inception, but the perceived value of the case, both a source of knowledge and as the basis for clinical decision making, has declined in the era of evidence-based medicine. Thinking in cases, however, is necessary for the practice of person-centered healthcare, ensuring that the individuality of the case-at-hand is recognized and incorporated into diagnostic and therapeutic decisions. The case-at-hand will be compared to other cases, derived from clinical research, pathophysiologic understanding, and clinical experience, as these kinds of cases serve as the repository of medical knowledge. Utilizing analogy and argument, clinicians derive and negotiate warrants relevant to particular patients, in order to make diagnoses, recommendations, and decisions. Case-based reasoning provides a rigorous and explicit framework for delivering person-centered care to individuals seeking healing.

A MEDICAL KNOWLEDGE SERVICE SYSTEM FOR CROSS-ORGANIZATIONAL HEALTHCARE COLLABORATION

2009 ◽  
Vol 18 (01) ◽  
pp. 195-224 ◽  
Author(s):  
YUH-JEN CHEN
Keyword(s):  
Service Quality ◽  
User Satisfaction ◽  
Medical Service ◽  
Medical Information ◽  
Service System ◽  
Medical Knowledge ◽  
Medical Professionals ◽  
Healthcare Organizations ◽  
Knowledge Resources ◽  
Knowledge Service

Collaboration among healthcare organizations depends on coordination, communication and control among healthcare organizations and effective sharing of medical information and knowledge. Medical services are knowledge-intensive activities. All information, knowledge, techniques and experience should be integrated, managed and shared using the Internet and information technology. Overall medical service quality and efficiency would be improved markedly if medical professionals and staff at different healthcare organizations could use and share medical knowledge resources. Therefore, a collaborative medical knowledge service would promote medical service quality. This study presents a novel medical knowledge service system for cross-organizational healthcare collaboration such that all medical professionals and staff at different healthcare organizations could capture, store, manage, integrate and share medical knowledge. This system should improve medical service quality and efficiency, and promote competition in the healthcare industry. Thus, this study (i) proposes a collaborative medical knowledge service model, (ii) designs a collaborative medical knowledge service system framework, (iii) develops this proposed system, and (iv) evaluates the developed system based on user satisfaction.

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