1.Going Abroad of Korean Health Information Systems.
Healthcare Informatics Research 2014;20(3):161-162
No abstract available.
Health Information Systems*
2.Development of a Integrated Healthcare Information System in Standardized Environment.
Jae Keun KONG ; Yong Gweon JWA ; Hiye Ja LEE ; Seok Min YOON
Journal of Korean Society of Medical Informatics 1998;4(2):1-6
A number of application systems for medical information services were developed. However, each of those application systems was developed independently out of consideration for other applications. Therefore, there are many problems in operation of the systems. Users(hospitals) have to prepare communication lines and equipments for using each service redundantly, and facilities for operation of those systems are also furnished individually. Thus, it is necessary to integrate the medical information systems in standardized environment in order to reduce operating costs and upgrade the services. This paper analyzes the methodology for development of an integrated medical information system in common environment and summarizes the result of the integration and standardization. Finally, we studies the directions for expanding the integrated system and activating the services.
Delivery of Health Care*
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Information Services
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Information Systems*
3.Applying knowledge management in generating and using evidence in health research priority setting (HRPS).
Ma. Rowena H. ALCIDO ; Joseph V. ORAÑ ; O ; Lester Sam A. GEROY
Acta Medica Philippina 2019;53(3):268-271
BACKGROUND: Current international recommendations in generating and using evidence in Health Research Priority Setting (HRPS) include the use of systematic reviews, and systematic or scientific situational analysis. In the Philippines, the Philippine National Health Research System's (PNHRS) National Guidelines for Health Research Prioritization recommends the use of either a Combined Approach Matrix (CAM) or situational analysis in generating and using evidence for HRPS. At present, there is a lack of a gold standard in generating and utilizing evidence in HRPS.
OBJECTIVE: The primary objective of this paper is to document a practical yet alternative/innovative approach on how evidence was generated and utilized in the process of HRPS as observed in the development of the National Unified Health Research Agenda (NUHRA) in the Philippines. Specifically, it identifies the types of knowledge products produced and their role in the process of health research agenda setting; how evidence was used and managed in the course of NUHRA development; and, the lessons learned from the experience.
METHODS: This case study is descriptive of the experience of generating and utilizing evidence for HRPS in the Philippines. The study utilized primary and secondary data. Knowledge Management (KM) was used as a lens to describe the process of generating and managing information for the NUHRA. Document analysis was used in comparing and aligning data with the integrated KM framework.
RESULTS: Pre-selected data were captured and created; shared and disseminated; and subsequently acquired and applied voluntarily by stakeholders during the process of HRPS. Relevant data was presented into various information products designed with a specific stakeholder in mind. Technical papers were developed to cater to national level stakeholders and focused on broad, nationally-relevant issues. Regional situational analysis reports focused on regional and local data and were designed for regional stakeholders to use during the development of Regional Unified Health Research Agenda (RUHRA). Infographics were developed to present the findings of the technical papers creatively and concisely and the NUHRA methodology and were presented to both national and regional stakeholders. The RUHRAs and the NUHRA were the outputs of the health research prioritization activities and will be made available through local and national channels of the PNHRS.
RECOMMENDATIONS: Opportunities for formalization and institutionalization of knowledge management for generating and using evidence in HRPS may be explored to address health information fragmentation across the health research system.
Health Information Systems ; Knowledge Management
4.Integrated Information Systems for Strategic Management in Hospitals.
Journal of Korean Society of Medical Informatics 2007;13(3):189-196
With the institutional and market changes in hospitals, strategic management has become increasingly important. Strategic managerial innovations can have impact on market pioneering and hospital performance, enabling better customer satisfaction, productivity improvement, and quality management. Hospital Information systems also require strategic planning to improve functionality in all aspects. This article reviewed the concept of strategic management and strategic information system (SIS), and summarized a framework for developing SIS for hospitals. The SIS formulation process consists of two interrelated phases: organizational analysis and SIS development. The first phase involves an analysis of the hospital's current position and the development of the hospital's vision and goals. The second phase incorporates three activities: SIS goals assessment, strategic information requirements analysis (SIRA), and SIS implementation planning. In particular, in SIRA, four dimensions of SIS and their interrelationships between dimensions would permit an organization to specify the strategic information needs within a hospital. Hospitals that integrate this framework with other aspects of their own hospital management information systems cope more effectively with the rapid changes and challenges encountered in today's health service industry.
Efficiency
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Health Services
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Hospital Information Systems
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Information Management
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Information Systems*
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Management Information Systems
5.A 7-year study of the regional distribution of differences in scaling experience rate among Koreans.
Young Eun JANG ; Min Young LEE ; Su kyung PARK ; Yeun Ju KIM ; Ga Yeung LEE ; Chun Bae KIM ; Nam Hee KIM
Journal of Korean Academy of Oral Health 2015;39(3):201-206
OBJECTIVES: The aim of this 7-year study was to examine regional differences in scaling experience rate. METHODS: This study used data on scaling experience rate from the Community Health Survey (CHS) obtained between 2008 and 2014. The standardized frequency of scaling experience rate was analyzed using the SPSS 20.0 program, and shown as a Box Plot. Using the Map Wizard for Excel 10.0, the scaling experience rate in each region was illustrated using Geographic Information System (GIS). RESULTS: The scaling experience rate in 2008 was 18.6% and in 2014, was 34.9%. From 2008 to 2014, the annual rate of scaling experience increased approximately 1.8 times. The scaling experience appeared to form clustering on GIS, and there were differences in scaling experience rate between cities, towns, and districts. Although the scaling experience rate increased, the gap between regions seems consistent. CONCLUSIONS: The Scaling Experience rate increased annually, but regional differences did not decrease. Therefore, oral health care professionals in each community should strive to improve the scaling experience rate.
Geographic Information Systems
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Health Surveys
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Oral Health
6.Validation of the DeLone and McLean Information Systems Success Model.
Healthcare Informatics Research 2017;23(1):60-66
OBJECTIVES: This study is an adaptation of the widely used DeLone and McLean information system success model in the context of hospital information systems in a developing country. METHODS: A survey research design was adopted in the study. A structured questionnaire was used to collect data from 442 health information management personnel in five Nigerian teaching hospitals. A structural equation modeling technique was used to validate the model's constructs. RESULTS: It was revealed that system quality significantly influenced use (β = 0.53, p < 0.001) and user satisfaction (β = 0.17, p < 0.001). Information quality significantly influenced use (β = 0.24, p < 0.001) and user satisfaction (β = 0.17, p < 0.001). Also, service quality significantly influenced use (β = 0.22, p < 0.001) and user satisfaction (β = 0.51, p < 0.001). However, use did not significantly influence user satisfaction (β = 0.00, p > 0.05), but it significantly influenced perceived net benefits (β = 0.21, p < 0.001). Furthermore, user satisfaction did not significantly influence perceived net benefits (β = 0.00, p > 0.05). CONCLUSIONS: The study validates the DeLone and McLean information system success model in the context of a hospital information system in a developing country. Importantly, system quality and use were found to be important measures of hospital information system success. It is, therefore, imperative that hospital information systems are designed in such ways that are easy to use, flexible, and functional to serve their purpose.
Developing Countries
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Health Information Management
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Health Information Systems
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Hospital Information Systems
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Hospitals, Teaching
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Information Systems*
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Nigeria
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Research Design
7.A Study on the Operating Status of Community-based Home Health Care Centers.
Journal of Korean Academy of Nursing Administration 2011;17(2):180-188
PURPOSE: This study was done to evaluate the operating status of community-based home health center for revitalization of the centers. METHOD: In this study performance data including organization plan and service utilization plan were evaluated according process theory. Target of evaluation was the community-based home health care center. RESULTS: The vulnerable part of the organization was the information system and financial resources. The home health center introduced PDA (Personal Digital Assistants) in 2005, however home health care nurses did not make full use of it. This service received full support from Seoul city and local government and there were no other sources of income. The vulnerable part of service utilization was service expansion and standardization due to vulnerability of organizational aspects. CONCLUSIONS: The home health care center provides high quality services to underprivileged people. In the future, these services should be provided with equity for continuous health care for this population.
Delivery of Health Care
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Information Systems
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Local Government
8.Development of Biosignal Telemonitoring System Based on HL7 and MFER Standard.
Jae Pil KIM ; Myoung Seon CHOI ; Hee Kyoung PARK ; Jinwook CHOI
Journal of Korean Society of Medical Informatics 2004;10(4):387-395
OBJECTIVE: We developed a biosignal telemonitoring system which is based on HL7 and MFER standard. METHODS: For the communication of waveform data (ECG, EEG etc.) we adopted MFER(Medical waveform description Format Encoding Rules) standard and HL7(Health Level 7). MFER is a standard for encoding waveform biosignal such as ECG, EEG and so on. HL7 is a standard for electronic data communication between two different information systems. RESULTS: The telemornitoring system consists of an HL7 interface gateway and a central repository. The HL7 interface gateway has three modules of an MFER analyzer, an HL7 message generator, and a file sender. The central repository is a central database combined with an HL7 archiver. CONCLUSION: Through this study we might conclude that the proposed system can be a promising model for telemonitoring system in healthcare environment.
Delivery of Health Care
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Electrocardiography
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Electroencephalography
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Information Systems
10.Geographical Information Systems and Health: Current State and Future Directions.
Healthcare Informatics Research 2012;18(2):88-96
This paper provides an introduction to Geographical Information Systems (GIS) and how they can be used. It reviews the current state of GIS use in health care before identifying the barriers to more pervasive use of GIS in health. Finally, it makes recommendations for the direction of health GIS research over the next decade and concludes with a call to action to health informatics researchers to stop ignoring a tool and methodology that has such immense potential for improving the health of our communities.
Delivery of Health Care
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Geographic Information Systems
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Informatics
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Information Systems
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Medical Informatics
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Public Health
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Public Health Informatics