scholarly journals 90. An examination about man-machine interface for realization of convenient medical-information management system

1993 ◽  
Vol 49 (8) ◽  
pp. 1115
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Information Management System ◽  
Machine Interface ◽  
Man Machine Interface

Design and Implementation of the Hospital Information Management System Based on the ASP.NET

2014 ◽  
Vol 644-650 ◽  
pp. 3166-3169
Author(s):  
Ming Li ◽  
Shu Yuan Yang
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Information Management System ◽  
Remote Access ◽  
Drug Usage ◽  
Time Dynamic ◽  
Design And Implementation ◽  
Dynamic Tracking ◽  
Hospital Information Management System

The existing hospital information management system generally does not support remote access and the information sharing is low. In order to adapt to the needs of the development of medical information management, the hospital information management system should be developed based on B/S structure. The system should store staff basic information, outpatient and hospitalization reimbursement detail in the database; can timely reflect the patient fee in arrears; draw graphical statistics of the use of funds, the incidence of disease, drug usage information; can set reimbursement policy according to the conditions and can automatically submit an expense account settlement, fund collection, decomposition of annual and carry forward; show the real-time dynamic tracking information for ins and outs of supplies, equipment, and drugs, reduce the backlog and shortages.AFS.NET technology.

scholarly journals An Ontology-Based Medical Information Management System for Electronic Claim Processing Systems

2020 ◽  
Author(s):  
Ilker Kose
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Data Bank ◽  
Information Management System ◽  
Domain Experts ◽  
Plain Text ◽  
Processing Information ◽  
Healthcare Insurance ◽  
Rule Consistency

Abstract Background: Electronic claim processing (ECP) systems in healthcare insurance require comprehensive and secure management of medical information. Even though state of the art ECP systems can read payment rules written in plain-text, there are hundreds of rules (each including dozens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage plain-text payment rules, the length and complexity of the rules yield low comprehensibility and in-rule and inter-rule consistencies. Hence, a more efficient and straightforward system is required. This study aims to make a claim management system medical data bank more efficient using ontology. Method: We developed an ontology-based medical information management system (ONTMIMS) in healthcare insurance to simplify payment rules. 1,312 sets of diagnosis and health services were included in the ONTMIMS. The development of the ontology was compromised of four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and iv) evaluation. Protégé and Apache Jena library tools were used to execute queries on the ontologies and the ONTMIMS was tested on an active ECP system. Results: The experiments indicated that ONTMIMS increased comprehensibility rates for domain experts from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5% and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions: Ontology, as in many other studies, is very useful in representing and processing information. This is the first study applying ontology to ECP systems for health insurance institutions. The results demonstrate that applying ontology increased in-rule and inter-rule consistency and made rule sentences more comprehensible to domain experts.

scholarly journals An Ontology-Based Medical Information Management System for Electronic Claim Processing Systems

2019 ◽  
Author(s):  
Ilker Kose
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Real Life ◽  
Data Bank ◽  
Information Management System ◽  
Domain Experts ◽  
Plain Text ◽  
Processing Information ◽  
Healthcare Insurance

Abstract Background The electronic claim processing (ECP) systems in healthcare insurance require, naturally, comprehensive, and secure management of medical information. Even though the state of the art ECP systems can read the payment rules written in plain-text, there are hundreds of rules (each including tens of conditions) in a conventional ECP system. The conditions of the rules, in turn, refer to thousands of medical entities and concepts. Although domain experts can manage the plain-text payment rules, the length and complexity of the rules yield a lack of understandability and an increase in-rule and inter-rule inconsistencies. Hence, a more efficient and straightforward system is required. This study aims to make the medical data bank that is used for the claim management system more efficient by using ontology. Method We proposed ontology- based on the medical information management system (ONTMIMS) in healthcare insurance- to simplify the payment rules. 1,312 sets of diagnosis and health services are included in ONTMIMS. The development of the ontology compromises four stages: i) specification and conceptualization; ii) formalization; iii) implementation; and, iv) evaluation. Protégé and Apache Jena library are conducted as tools, and the ONTMIMS is used in a real-life ECP system. Results The experiments indicated that ONTMIMS increased the understandability from 35.1% to 64.9%. Distinguishing in-rule inconsistencies increased from 65% to 82.5%, and distinguishing inter-rule inconsistencies increased from 78.8% to 85%. Conclusions Ontology, as in many other studies, is very useful in representing and processing information. That is the first study using ontology in ECP systems used in health insurance institutions. The results showed that ontology increased the in-rule and inter-rule consistency and made the rule sentences more understandable by the domain experts.

Design and Implementation of Information Management System Based on Cloud Computing Mode

2014 ◽  
Vol 556-562 ◽  
pp. 6685-6688 ◽  
Author(s):  
Miao Xuan Chen
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Management System ◽  
Medical Information ◽  
Design Method ◽  
Information Service ◽  
Cost Savings ◽  
Information Management System ◽  
Five Dimensions ◽  
Computing Platform

At present the application of the system of most enterprises is set up by themselves, which can only be used in the enterprise interior, cannot be effectively used for information sharing, and late upfront costs and maintenance costs are high. In order to solve this problem, this paper presents a design method of the information management system based on cloud computing, which make full use of the advantages of cloud computing platform, implement equipment, information and service coordination together so as to make the enterprise to achieve the purpose of cost savings and realize resources sharing. Geared to the needs of the present situation of the medical information service, this paper combined with the use of private and public clouds, adopts the distributed and parallel computing method of medical cloud, establish medical service system of cloud, to build a five dimensions of the system where hospital, pharmacy, pharmaceutical factory, medical insurance, and patients are connected with each other, integrating the original all kinds of information management system independent of each other into a unified platform, promoting the technology of shared services

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