OBJECTIVES: The purpose of this study was to design an integrated data management system based on the POCT1-A2, LIS2-A, LIS2-A2, and HL7 standard to ensure data interoperability between mobile equipment, such as point-of-care testing equipment and the existing hospital data system, its efficiency was also evaluated. METHODS: The method of this study was intended to design and realize a data management system which would provide a solution for the problems that occur when point-of-care testing equipment is introduced to existing hospital data, after classifying such problems into connectivity, integration, and interoperability. This study also checked if the data management system plays a sufficient role as a bridge between the point-of-care testing equipment and the hospital information system through connection persistence and reliability testing, as well as data integration and interoperability testing. RESULTS: In comparison with the existing system, the data management system facilitated integration by improving the result receiving time, improving the collection rate, and by enabling the integration of disparate types of data into a single system. And it was found out that we can solve the problems related to connectivity, integration and interoperability through generating the message in standardized types. CONCLUSIONS: It is expected that the proposed data management system, which is designed to improve the integration point-of-care testing equipment with existing systems, will establish a solid foundation on which better medical service may be provided by hospitals by improving the quality of patient service.
Clinical Laboratory Information Systems ; Database Management Systems ; Dietary Sucrose ; Hospital Information Systems ; Humans ; Information Systems ; Medical Order Entry Systems ; Point-of-Care Systems

OBJECTIVES: The purpose of this study was to review an implementation of u-Severance information system with focus on electronic hospital records (EHR) and to suggest future improvements. METHODS: Clinical Data Repository (CDR) of u-Severance involved implementing electronic medical records (EMR) as the basis of EHR and the management of individual health records. EHR were implemented with service enhancements extending to the clinical decision support system (CDSS) and expanding the knowledge base for research with a repository for clinical data and medical care information. RESULTS: The EMR system of Yonsei University Health Systems (YUHS) consists of HP integrity superdome servers using MS SQL as a database management system and MS Windows as its operating system. CONCLUSIONS: YUHS is a high-performing medical institution with regards to efficient management and customer satisfaction; however, after 5 years of implementation of u-Severance system, several limitations with regards to expandability and security have been identified.
Database Management Systems ; Electronic Health Records ; Electronics ; Electrons ; Hospital Records ; Information Systems ; Knowledge Bases

OBJECTIVES: To examine the current status of hospital information systems (HIS), analyze the effects of Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS) have upon hospital performance, and examine how management issues change over time according to various growth stages. METHODS: Data taken from the 2010 survey on the HIS status and management issues for 44 tertiary hospitals and 2009 survey on hospital performance appraisal were used. A chi-square test was used to analyze the association between the EMR and CDSS characteristics. A t-test was used to analyze the effects of EMR and CDSS on hospital performance. RESULTS: Hospital size and top management support were significantly associated with the adoption of EMR. Unlike the EMR results, however, only the standardization characteristic was significantly associated with CDSS adoption. Both EMR and CDSS were associated with the improvement of hospital performance. The EMR adoption rates and outsourcing consistently increased as the growth stage increased. The CDSS, Knowledge Management System, standardization, and user training adoption rates for Stage 3 hospitals were higher than those found for Stage 2 hospitals. CONCLUSIONS: Both EMR and CDSS influenced the improvement of hospital performance. As hospitals advanced to Stage 3, i.e. have more experience with information systems, they adopted EMRs and realized the importance of each management issue.
Adoption ; Decision Support Systems, Clinical ; Electronic Health Records ; Electronics ; Electrons ; Health Facility Size ; Hospital Information Systems ; Information Management ; Information Systems ; Knowledge Management ; Korea ; Outsourced Services ; Tertiary Care Centers

This paper tells you how to build a faster and more reliable interface system between the Hospital Management Information System (HMIS) in the hospital and the Medical Insurance Information System (MIIS) in the Medical Insurance Affairs Management Center (MIAMC). The data standards of the hospital and MIAMC should be integrated in order to reduce the unnecessary real-time transmission, so as to establish and perfect the operation mode in offline status,and to improve the performance of the communication servers. Thus, it would be a more efficient software interface system with a higher bandwidth between HMIS and MIIS. The working efficiency of the interface system and the accuracy of the balance data in the MIAMC are increased while the dependence on the inter-network communication is decreased with an improvement of the reliability and suitability of the interface system.
Ambulatory Care Information Systems ; organization & administration ; Computer Communication Networks ; Hospital Information Systems ; organization & administration ; Insurance, Health ; Management Information Systems ; Microcomputers ; Software Design ; Systems Integration ; User-Computer Interface

This paper introduces the measures guaranteeing the network safety of the hospital information system.
Computer Communication Networks ; Computer Security ; Database Management Systems ; Hospital Information Systems ; Registries ; Systems Integration

The purpose of this research was to understand the current status of hospital information system(HIS) in Korea. Our main interests were when hospitals adopted each component of HIS and how they developed and managed the system. Structured questionnaires were applied to the department of each hospital in charge of managing information system. All hospitals, 276 in 1997, were included, and among them 93.5% responded. The HIS has been rapidly developed to include medical record management system, order communication system, laboratory information system, and picture archiving and communication system. The software for HIS was developed extramurally in more than half of all hospitals, and usually hardware was secured by buying than leasing them. Recently more hospitals has separated departments for His as independent units in hospital.
Clinical Laboratory Information Systems ; Hospital Information Systems* ; Information Systems ; Korea ; Medical Records ; Surveys and Questionnaires

There is still lack of a convinient system that connect referring physicians to the information system of referral hospitals, We proposed to develop the laboratory-information-accessing system(LISA) for physicians referred to AMC referral center with Web-based internet technology. We constructed the menu of AMC Referral Center as a part of Asan Medical Center(AMC) homepage. The information of the referred patients wee collected in the separate internal server and then transferred to the external network sever by a batch. Referring physicians was able to connect to AMC Referral Center via AMC homepage and then browse the list of their patients by putting their identification number and password. At the next, the physicians chose the patients and the test item to be displayed. In order that the referral system is established tin the medical part, the LISA world be more needed, in the society, which internet is getting popular. This LISA was introduced successfully now, and it could be a model of national standard for hospital information system.
Chungcheongnam-do ; Clinical Laboratory Information Systems ; Hospital Information Systems ; Humans ; Information Systems ; Internet ; Referral and Consultation ; Tin

In 1994, Ajou University Medical Center implemented a hospital information system with a relational database management system(Ingres) and underwent migration using newly improved M technology in 1996. In this paper, a comparison study of database performance between M and RDBMS is presented. Three different types of comparative studies were carried out on the performances of Ingres, Oracle 7.1 (Oracle) and M-Technology(Mumps). Two types of M are adopted to compare with Ingres: Standard M and Open M. The open M was used for DBMS and Standard M was used for writing applications. The system response time was compared by a simple bulk test in a simulated HIS environment. It was found that the performance of Open M was about 100 times faster than that of Ingres. In the live HIS environment, the performance of Open M was found to be 2-8 times faster than Ingres depending on the number of globals involved in the processing of transactions. The performance of Standard M and MSM-SQL was compared with that of Oracle by a simple bulk test in a simulated HIS environment and found that Standard M was more than 100 times faster than Oracle and MSM-SQL was on an average. 1.7 times faster than Oracle. The M was faster than Ingres and Oracle. Despite the cons of RDBMS already discussed, we have found very few pros of RDBMS if M is applied. We have found that conventional RDBMS requires redundant hardware resources which result in slow processing time which HIS manifests in a serious bottleneck during the course of our development and implementation. The performance of M strongly implies that M is most appropriate DB in a HIS environment.
Academic Medical Centers ; Database Management Systems* ; Hospital Information Systems* ; Reaction Time ; Writing

The development of hospital business demands the integration of information systems. After studying the relative technologies for system connection,system integration and different modes of connecting system, we put forward a protocol to integrate the existing laboratory information system( LIS) and hospital information system(HIS). It introduces the multi-tier distributed technical methods for improving the client/server applications; it ascertains the units and transactions participating in workflow integration by referencing the IHE( Integrating the Healthcare Enterprises) Laboratory Technology Framework; it implements information exchange by Health Level 7(HL7) standards; and it can conserve previous investment and avoid some problems of security, maintenance and realtime process without the risk of massively updating system.
Clinical Laboratory Information Systems ; Health Level Seven ; Hospital Information Systems ; Humans ; Systems Integration

Laboratory information system(LIS) is a key tool for management of laboratory data and for improvement of service quality in clinical pathology. Using down-sized computer system, we have developed an information management system, for urinalysis. The hardware is organized with an IBM 486 compatible PC with 16 MB main memory, 210 MB hard disk drive, three terminals, and 24 pin dot printer. The system is interfaced with one automatic urine analyzer(Miditron-M) via RS-232C port for unidirectional data transmission form analyzer to computer. The operating system and database management system are SCO UNIX and SCO foxbase, respectively. The program was developed using Xbase language provided by SCO foxbase and C language for interface. The system is connected to our hospital information system via application program interface(API), so the informations about patients and request details are automatically transmitted to our computer. Pull-down menu makes the users to access system more easily and the urinalysis results obtaining through interface can be reviewed during microscopic examination by users. To reduce workload, the default value was assigned to urine color, turbidity and cell count. To minimize the individual difference and standardize interpretation criteria, the recording results were entered as a code originating from objective grading system. The authors suggest that this system based on down-sized computer could provide a progressive approach to total LIS based on local area network, and the implemented system could serve as a model for constructing LIS in other hospitals for routine urinalysis.
Cell Count ; Chungcheongnam-do* ; Computer Systems ; Database Management Systems ; Hospital Information Systems ; Humans ; Individuality ; Information Management ; Local Area Networks ; Memory ; Pathology, Clinical ; Urinalysis*