1.Practical Guide to Clinical Data Management by Susanne Prokscha, 2007.
Journal of Korean Society of Medical Informatics 2009;15(4):501-502
No abstract available.
2.Medical Informatics 20/20: Quality and Electronic Health Records through Collaboration, Open Solutions, and Innovation by Douglas Goldstein, Peter J. Groen, Suniti Ponkche, Marc Wine, 2007.
Journal of Korean Society of Medical Informatics 2008;14(4):485-486
No abstract available.
Cooperative Behavior
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Electronic Health Records
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Electronics
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Electrons
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Medical Informatics
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Wine
3.Comparison of the Perception on Health Information Privacy Protection for Electronic Health Record among Patients, Healthcare Providers and Administration Groups.
Inyoung CHOI ; Jiyoung LEE ; Soon CHOY ; Sukil KIM
Journal of Korean Society of Medical Informatics 2007;13(3):197-205
OBJECTIVE: As the accelerated development and use of Electronic Health Record have grown exponentially, the possible disclosure of patient healthcare information is increased. The purpose of this study is to examine the perception gap on disclosure of EHR information among the patient/guardian group, healthcare provider group, and administration group. METHODS: A questionnaire survey from a hospital located in Incheon City of Korea was conducted and over 200 responses were collected. Outcome measures include healthcare information protection, disclosure of unidentifiable information, possible losses from the disclosure of healthcare information, and the ownership of healthcare information. RESULTS: Regarding healthcare information protection, three groups have a general consensus over some issues. In contrast, the healthcare providers and the administration group have a higher consideration regarding possible losses resulting from the disclosure of healthcare information than the patient group. In addition, the healthcare provider group considered the ownership of healthcare information to belong to the hospital in contrast with the patients' view that the ownership and disclosure rights belong to the patient. CONCLUSION: These findings indicate that the high level of interest and concern that our results revealed, suggests that more attention should be directed toward designing and developing policy, organization and legislative systems.
Computer Security
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Consensus
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Delivery of Health Care*
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Disclosure
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Electronic Health Records*
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Health Personnel*
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Human Rights
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Humans
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Incheon
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Korea
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Outcome Assessment (Health Care)
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Ownership
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Privacy*
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Surveys and Questionnaires
4.Key Aspects of Using Web-based Diabetes Telemedicine Systems in Multiple Clinical Settings.
Inyoung CHOI ; Sukil KIM ; Young Dae KWON
Journal of Korean Society of Medical Informatics 2007;13(4):375-383
OBJECTIVE: Even though abundant studies and models have tried to explain and predict the adoption and use of new information systems, the research on the adoption of Diabetes Management Systems in multiple clinical settings is relatively scarce. This paper addresses this issue by outlining Georgetown University's experience with implementing its MyCareTeam diabetes telemedicine application, which is a web.based, interactive diabetes management application. METHODS: Case study is used to explore the influencial factors on web.based diabetes telemedicine systems in multiclinical setting. The experience of the Georgetown University deploying MyCareTeam system in six different geographical areas was analyzed by secondary literature review and interviews. RESULTS: This study finds several problems and possible resolutions to expand the telemedicine systems of single institution into the multiple clinical settings. The application systems must be able to transfer data from diverse medical devices and integrate with web.based diabetes management application. Therefore, the system needs to support diverse data transfer type, diverse cable, and different network environment. In addition, there is a need for more dedicated technical and operational support, to prevent frequent turnover among the overburdened nurses who currently interact remotely with telemedicine patients. CONCLUSIONS: To apply currently developed telemedicine technology into the real clinical settings, the proposed technical as well as organizational infrastructure should be established. The findings of this study will be guideline for multi.center diabetes management system in Korea.
Diabetes Mellitus
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Humans
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Information Systems
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Korea
;
Telemedicine*
5.Arden Syntax as a standard expression language for medical knowledge.
Journal of Korean Society of Medical Informatics 2008;14(1):1-7
The Arden Syntax is a language for expressing computable medical decisions. It was developed and published under the direction of Health Level Seven, Inc (HL7), and is a standard of the American National Standards Institute (ANSI). It is used to construct executable Medical Logic Modules (MLMs) that represent individual clinical decisions. The authors introduced brief explanation of the Arden Syntaxand gave an example to help readers understand it with easy. Although Arden Syntax is the HL7 standard, there are problems related to the adoption of Arden Syntax as the standard tool for describing medical logic: the curly-braces problem, and the compiler problem. GELLO as well as virtual Medical Record based on the HL7 Reference Information Model (RIM) may provide solutions to the former problem. The latter problem would be resolved by introducing XML based expression of Arden Syntax, the ArdenML: the next generation of Arden Syntax. Unfortunately, Korean hospital information systems are not yet ready to adopt clinical decision support system including Arden Syntax. However, when Arden Syntax version 3.0 (ArdenML) with Korean rule-base engines is introduced into the hospital information system, it would be easier to build up clinical decision support system in Korea.
Adoption
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Health Level Seven
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Hospital Information Systems
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Korea
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Logic
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Medical Records
6.Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis
Inyoung JUN ; Wooree CHOI ; Mira PARK
Genomics & Informatics 2018;16(4):e33-
Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.
Genome-Wide Association Study
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Genotype
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Phenotype
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Polymorphism, Single Nucleotide
7.Implementation of Single Source Based Hospital Information System for the Catholic Medical Center Affiliated Hospitals.
Inyoung CHOI ; Ran CHOI ; Jonghyun LEE ; Byung Gil CHOI
Healthcare Informatics Research 2010;16(2):133-139
OBJECTIVES: The objective of this research is to introduce the unique approach of the Catholic Medical Center (CMC) integrate network hospitals with organizational and technical methodologies adopted for seamless implementation. METHODS: The Catholic Medical Center has developed a new hospital information system to connect network hospitals and adopted new information technology architecture which uses single source for multiple distributed hospital systems. RESULTS: The hospital information system of the CMC was developed to integrate network hospitals adopting new system development principles; one source, one route and one management. This information architecture has reduced the cost for system development and operation, and has enhanced the efficiency of the management process. CONCLUSIONS: Integrating network hospital through information system was not simple; it was much more complicated than single organization implementation. We are still looking for more efficient communication channel and decision making process, and also believe that our new system architecture will be able to improve CMC health care system and provide much better quality of health care service to patients and customers.
Decision Making
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Delivery of Health Care
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Hospital Information Systems
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Humans
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Information Systems
;
Quality of Health Care
8.Successful use of customer relationship management system in hospital healthcare centers.
Wona CHOI ; Jiyun PARK ; Kwangjum KIM ; Inyoung CHOI
Journal of the Korean Medical Association 2012;55(8):748-756
Customer relationship management (CRM) is a valuable method for establishing long-term customer relationships across different business areas. CRM system stores and analyzes a vast amount of customer information and provides alternatives to meet customer expectations using data warehouse and on-line analysis processing technology. Intensified competitiveness in the healthcare industry has increased the number of healthcare centers and propelled the introduction of CRM systems to meet diverse customer satisfaction. Leading the adoption of information technology in the healthcare businesses has enabled the use of CRM technology to develop close patient-provider relationship. Especially, healthcare centers are using CRM system to provide better healthcare services as well as customer management services. This study aims to explore the current status and influential factors that will stimulate and drive the successful use of CRM system in healthcare centers. For this purpose, a survey has been conducted for CRM system users in 13 healthcare centers to investigate the current status of CRM system and the influential factors for successful use. The evaluation criteria include four categories; system quality, information quality, service quality and perceived usefulness. These criteria have been developed based on previous researches, especially DeLone & McLean information system success model. In addition, the system output is evaluated by user satisfaction, personal performance and organizational performance. The study showed that users evaluated information quality and service quality positively and to be higher than other factors in terms of influence. And the user evaluation proved that CRM system provides increased user satisfaction, organizational performance, and especially, individual performance. This is clear evidence that CRM system will improve organizational efficiency and effectiveness, which in turn, can provide competitive advantage for the healthcare centers.
Adoption
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Commerce
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Delivery of Health Care
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Efficiency, Organizational
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Health Care Sector
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Imidazoles
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Information Systems
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Nitro Compounds
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Personal Satisfaction
9.Prevalence and Risk Factors Associated with Suicide Ideation and Attempts in Korean College Students.
Hong Seok LEE ; Sukil KIM ; Inyoung CHOI ; Kyuong Uk LEE
Psychiatry Investigation 2008;5(2):86-93
OBJECTIVE: Suicide is a leading cause of death in college age students. Identification of the associated risk factors has important implications for how to prevent and respond to this population; however, few studies have been performed on this topic in this age group. The purpose of this study was to evaluate the prevalence and risk factors associated with suicide ideation and attempts in college students. METHODS: Three hundred sixty-eight college students participated in this cross-sectional observational study. The recent (over two weeks) suicide ideation and lifetime suicide attempts were defined according to Moscicki's suicide behavior index. Sociodemographic variables were assessed and psychopathology measured using the Beck Depression Inventory, the Bipolar Spectrum Diagnostic Scale and the Alcohol Use Disorders Identification Test. A hierarchical multiple logistic regression analysis was used to identify the significant risk factors related to suicide ideation and attempts. RESULTS: The two-week prevalence of suicidal ideation was 9.8%, and the lifetime prevalence of suicide attempts was 3.3%. The univariate analysis showed that students who had more severe depression (p<0.001), a higher probability for bipolar disorder (p<0.001) and decrement of academic achievement (p<0.005) were more likely to have suicide ideation. Those with factors such as severe depression (p<0.05), a higher probability of bipolar disorder (p<0.001), a low socioeconomic status (p<0.001), who lived alone (p<0.01), and were female (p<0.05) had a higher risk for suicide attempts. The most important predictors of suicide ideation, by the logistic regression analysis, were depression, probability for bipolar disorder and academic achievement, and the risks identified for suicide attempts were socioeconomic status and probability of bipolar disorder. CONCLUSION: Suicide ideation and attempts were common in college students. The results of this study suggest that early identification and management of mood disorders and other sociodemographic risk factors may have implications for intervention and prevention.
Bipolar Disorder
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Cause of Death
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Depression
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Female
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Humans
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Logistic Models
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Mood Disorders
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Observational Study
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Prevalence*
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Psychopathology
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Risk Factors*
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Social Class
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Suicidal Ideation
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Suicide*
10.A Study on Facilitators and Inhibitors to the Introduction of Outsourcing in the Hospital Information Systems in Korea.
Soon CHOY ; Hyeong Sik SHIN ; Inyoung CHOI ; Sukil KIM
Journal of Preventive Medicine and Public Health 2007;40(1):64-70
OBJECTIVES: This study was conducted to investigate the current status of outsourcing in Korean hospital information systems and the factors influencing its introduction. METHODS: The authors surveyed 136 hospitals located in Seoul and its surrounding vicinities from June 7 to June 23, 2006. The facilitators and inhibitors to outsourcing in hospital information systems were derived from literature and expert reviews. Multiple logistic regression analysis was applied to identify the major influencing factors on outsourcing in hospital information systems. RESULTS: Eighty-six (63.2%) of the 136 hospitals surveyed, which were mainly tertiary hospitals, responded to using outsourcing for their hospital information systems. "Hardware and software maintenance and support," "application development," and "management of service and staff" were the major areas of outsourcing. Outsourcing had been employed for 4~7 years by 45.5% of the hospitals and the proportion of the budget used for outsourcing was less than 20%. A need for an extension in outsourcing was agreed on by 76.5% of the hospitals. The multiple logistic regression analysis showed that both consumer satisfaction and security risk have an influence on hospital information system outsourcing. CONCLUSIONS: Outsourcing in hospital information systems is expected to increase just as in other industries. One primary facilitator to outsourcing in other industries is consumer satisfaction. We found that this was also a facilitator to outsourcing in hospital information systems. Security risk, which is usually considered an inhibitor to information technology outsourcing, was proven to be an inhibitor here as well. The results of this study may help hospital information systems establish a strategy and management plan for outsourcing.
Security Measures
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Outsourced Services/economics/*utilization
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Maintenance
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Logistic Models
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Korea
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Hospital Information Systems/*organization & administration
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Health Services Research
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Decision Making, Organizational
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Consumer Satisfaction
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Computer Security