scholarly journals Research on Organizational Structure of Medical Knowledge Service Ontology Meta-model

2017 ◽  
Author(s):  
Li-quan HAN ◽  
Yu-qiang JIANG
Keyword(s):  
Organizational Structure ◽  
Medical Knowledge ◽  
Meta Model ◽  
Knowledge Service ◽  
Service Ontology

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.

UMLS Semantic Network as a UML Metamodel for Improving Biomedical Ontology and Application Modeling

2015 ◽  
Vol 10 (2) ◽  
pp. 34-56 ◽  
Author(s):  
Rishi Kanth Saripalle
Keyword(s):  
Software Engineering ◽  
Health Informatics ◽  
Semantic Network ◽  
Medical Knowledge ◽  
Current Status ◽  
Domain Modeling ◽  
Modeling Framework ◽  
Meta Model ◽  
Medical Concepts ◽  
The Impact

In the domain of biomedical and health informatics, ontologies are widely used to capture knowledge ranging from bioinformatics such as gene, protein, protein interactions, etc. to clinical/healthcare informatics knowledge such as diseases, symptoms, treatment, medication, etc. Currently, one medical knowledge source that encapsulates a broad spectrum of medical knowledge is the Unified Medical Language System (UMLS), which can be defined as a compendium of diverse medical ontological standards. The primary components of the UMLS are: Semantic Network (UMLS-SN) – designed by interconnecting well-defined semantic types with semantic relationships, and Metathesaurus (UMLS-META) – the base of UMLS system that is comprised of millions of medical concepts from diverse medical standards. However, within the biomedical and health informatics community, the concepts of software engineering and domain modeling (using meta-models such as ERD, UML, and XML) are very successful in designing and implementing biomedical/health domain application models. In the current status, the UMLS-SN is primarily employed for classification of medical concepts in UMLS-META, but UMLS-SN knowledge can't be viewed or employed as a modeling framework for designing ontological models and is restricted to the UMLS environment. Thus, the impact of the biomedical semantics captured by UMLS-SN might be minimal in medical facilities, research and healthcare organizations that are highly influenced by software engineering, meta-models and domain model-based practices. In order fill this gap, the authors propose a meta-modeling framework for UMLS-SN based on the UML Profile (built using UML meta-model) that will result in a customized domain specific meta-model. This specialized meta-model that encapsulates the medical knowledge semantics of UMLS-SN can then be employed for designing ontological models or relevant healthcare application models and simultaneously be coherent with software meta-models and domain modeling practices.

UMLS Semantic Network as a UML Metamodel for Improving Biomedical Ontology and Application Modeling

2018 ◽  
pp. 553-576
Author(s):  
Rishi Kanth Saripalle
Keyword(s):  
Software Engineering ◽  
Health Informatics ◽  
Semantic Network ◽  
Medical Knowledge ◽  
Domain Modeling ◽  
Protein Protein Interactions ◽  
Modeling Framework ◽  
Meta Model ◽  
Semantic Types ◽  
Medical Concepts

In the domain of biomedical and health informatics, ontologies are widely used to capture knowledge ranging from bioinformatics such as gene, protein, protein interactions, etc. to clinical/healthcare informatics knowledge such as diseases, symptoms, treatment, medication, etc. Currently, one knowledge source that encapsulates a broad spectrum of medical knowledge is the Unified Medical Language System (UMLS), which can be defined as a compendium of diverse medical ontological standards. The primary components of the UMLS are: Semantic Network (UMLS-SN) – designed by interconnecting well-defined semantic types with semantic relationships, and Metathesaurus (UMLS-META) – the base of UMLS system that is comprised of millions of medical concepts from diverse medical standards. However, within the biomedical and health informatics community, the concepts of software engineering and domain modeling (using meta-models such as ERD, UML, and XML) are very successful in designing and implementing biomedical/health domain application models. In the current status, the UMLS-SN is primarily employed for classification of medical concepts in UMLS-META, but UMLS-SN knowledge can't be viewed or employed as a modeling framework for designing ontological//biomedical applicaton models and is restricted to the UMLS environment. Thus, the impact of the biomedical semantics captured by UMLS-SN might be minimal in medical facilities, research and healthcare organizations that are highly influenced by software engineering, meta-models and domain model-based practices. In order fill this gap, the author proposes a meta-modeling framework for UMLS-SN based on the UML Profile (built using UML meta-model) that will result in a customized domain specific meta-model. This specialized meta-model that encapsulates the medical knowledge semantics of UMLS-SN can then be employed for designing ontological models or relevant healthcare application models and simultaneously be coherent with software meta-models and domain modeling practices.

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.

Adapting a matrix organizational structure to the College of Dentistry at the University of Kentucky

1989 ◽  
Vol 53 (4) ◽  
pp. 246-252
Author(s):  
DA Nash ◽  
EP Hicks ◽  
HR Laswell ◽  
GP Lewis ◽  
TT Lillich ◽  
...  
Keyword(s):  
Organizational Structure ◽  
University Of Kentucky ◽  
The University

Organizational Structure, Information Load, and Communication in Navy Teams

2004 ◽  
Author(s):  
Keith Baker ◽  
Elliot E. Entin ◽  
Katrina See ◽  
Kevin Gildea ◽  
Bonnie Baker ◽  
...  
Keyword(s):  
Organizational Structure ◽  
Information Load ◽  
Structure Information

Care, Labor and Medical Knowledge: Access to Health and Work in the Global Arena

2010 ◽  
Author(s):  
Sunil Khanna ◽  
Suzanne Morrissey ◽  
Amarah Niazi ◽  
Mirabelle Fernandes-Paul ◽  
Michele Gamburd ◽  
...  
Keyword(s):  
Medical Knowledge ◽  
Access To Health ◽  
Care Labor ◽  
Global Arena ◽  
Knowledge Access

The Separation of Reviewing Knowledge from Medical Knowledge

1995 ◽  
Vol 34 (01/02) ◽  
pp. 131-139 ◽  
Author(s):  
M. A. Musen ◽  
J. van der Lei
Keyword(s):  
Medical Knowledge ◽  
Patient Record ◽  
Patient Records ◽  
Computer Based ◽  
New Challenges ◽  
Arden Syntax

Abstract:The developers of reviewing systems that rely on computer-based patient-record systems as a source of data need to model reviewing knowledge and medical knowledge. We simulate how the same medical knowledge could be entered in four different systems: CARE, the Arden syntax, Essential-attending and HyperCritic. We subsequently analyze how the original knowledge is represented in the symbols or syntax used by these systems. We conclude that these systems provide different alternatives in dealing with the vocabulary provided by the computer-based patient records. In addition, the use of computer-based patient records for review poses new challenges for the content of that record: to facilitate review, the reasoning of the physician needs to be captured in addition to the actions of the physician.

Methodology of ECG Interpretation in the Padova Program

1990 ◽  
Vol 29 (04) ◽  
pp. 386-392 ◽  
Author(s):  
R. Degani ◽  
G. Bortolan
Keyword(s):  
Decision Making ◽  
Medical School ◽  
Fuzzy Set ◽  
Medical Knowledge ◽  
Main Aspect ◽  
Measurement Evaluation ◽  
Possibility Distributions ◽  
Linguistic Decision Making ◽  
The University ◽  
Ecg Interpretation

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.

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