1.Looking Back, Looking Forward.
Healthcare Informatics Research 2012;18(4):235-236
No abstract available.
2.Recent Movement on Education and Training in Health Informatics.
Healthcare Informatics Research 2014;20(2):79-80
No abstract available.
Education*
;
Informatics*
3.Ubiquitous Health in Korea: Progress, Barriers, and Prospects.
Healthcare Informatics Research 2012;18(4):242-251
OBJECTIVES: Korea has one of the most advanced information technology (IT) infrastructures in the world, and the application of IT in health systems is rapidly progressing from computerization to information systems, ubiquitous systems, and smart systems. This study aims to analyze Korean environments in regards to the development of their u-Health industry and propose directions for u-Healthcare services based on this analysis. METHODS: This paper reviews the background, progress history, and current status of u-Health in Korea, and suggests strategies for the u-Health industry based on an analysis of its barriers and obstacles. RESULTS: When u-Health was introduced to Koreans, their policies and approaches focused mainly on environmental factors, yet these efforts have not progressed further to impact the u-Healthcare service industry itself. To develop the u-Healthcare industry, four points need to be considered: the development and support of the practical service model, institutional support, support of core technology and industry, and the institutionalization of health management service. CONCLUSIONS: Korea is at a strategic point to start building u-Healthcare service delivery models. u-Healthcare is a healthcare service that provides added value through u-Health environments. By identifying critical success factors in u-Healthcare, we can strengthen the u-Health industry and implement policies to coordinate our efforts in the process of value chains to which we belong.
Consumer Health Information
;
Delivery of Health Care
;
Health Information Management
;
Information Systems
;
Institutionalization
;
Korea
;
Telecommunications
;
Telemedicine
;
Wireless Technology
4.Evaluation Framework for Telemedicine Using the Logical Framework Approach and a Fishbone Diagram.
Healthcare Informatics Research 2015;21(4):230-238
OBJECTIVES: Technological advances using telemedicine and telehealth are growing in healthcare fields, but the evaluation framework for them is inconsistent and limited. This paper suggests a comprehensive evaluation framework for telemedicine system implementation and will support related stakeholders' decision-making by promoting general understanding, and resolving arguments and controversies. METHODS: This study focused on developing a comprehensive evaluation framework by summarizing themes across the range of evaluation techniques and organized foundational evaluation frameworks generally applicable through studies and cases of diverse telemedicine. Evaluation factors related to aspects of information technology; the evaluation of satisfaction of service providers and consumers, cost, quality, and information security are organized using the fishbone diagram. RESULTS: It was not easy to develop a monitoring and evaluation framework for telemedicine since evaluation frameworks for telemedicine are very complex with many potential inputs, activities, outputs, outcomes, and stakeholders. A conceptual framework was developed that incorporates the key dimensions that need to be considered in the evaluation of telehealth implementation for a formal structured approach to the evaluation of a service. The suggested framework consists of six major dimensions and the subsequent branches for each dimension. CONCLUSIONS: To implement telemedicine and telehealth services, stakeholders should make decisions based on sufficient evidence in quality and safety measured by the comprehensive evaluation framework. Further work would be valuable in applying more comprehensive evaluations to verify and improve the comprehensive framework across a variety of contexts with more factors and participant group dimensions.
Delivery of Health Care
;
Logic*
;
Patient Safety
;
Program Evaluation
;
Quality of Health Care
;
Telemedicine*
5.Book Review: Data-Driven Healthcare & Analytics in a Big Data World.
Healthcare Informatics Research 2015;21(1):61-62
No abstract available.
Delivery of Health Care*
6.Big Data and Healthcare: Building an Augmented World.
Healthcare Informatics Research 2016;22(3):153-155
No abstract available.
Delivery of Health Care*
7.Application of the Extended Technology Acceptance Model to Picture Archiving and Communication Systems in Dental Hospitals.
Journal of Korean Society of Medical Informatics 2009;15(3):265-272
OBJECTIVE: With the rapid growth of picture archiving and communication systems (PACS) in the healthcare industry, this article describes the users' satisfaction with PACS by employing functional PACS features and the two concepts of perceived ease-of-use (PEOU) and perceived usefulness (PU), based on the extended technology acceptance model (TAM). METHODS: A cross-sectional survey was conducted with dentists in 25 dental hospitals which were cluster sampled from the national registry of 132 dental hospitals. Of the 204 respondents (response rate 81.6%), the data of 159 PACS users were analyzed using the structural equation modeling method. RESULTS: The fitted model showed significant relations between the technical components and the TAM variables, via the following three significant paths: hardware to PEOU, and software to PEOU and also to PU. Moreover, the critical path of TAM variables was observed: PEOU-->PU-->SAT. Therefore, the model produced three significant routes: hardware-->PEOU-->PU-->SAT, software-->PU-->SAT, and software-->PEOU-->PU-->SAT. CONCLUSION: Contrary to expectations, the direct effect of PEOU on user satisfaction was not significant. The final model provided critical paths from technical components to user satisfaction, by utilizing PEOU and PU as intermediary, latent factors.
Computers
;
Critical Pathways
;
Cross-Sectional Studies
;
Surveys and Questionnaires
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Dentists
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Health Care Sector
;
Humans
;
Radiology Information Systems
;
Software
8.HIR Collaborating with the CODATA Conference.
Hyejung CHANG ; William T F GOOSSEN
Healthcare Informatics Research 2013;19(4):233-234
No abstract available.
9.Steps We Have Taken and Steps We Must Take.
Healthcare Informatics Research 2016;22(2):63-64
No abstract available.
10.Managing Health Care Industry in the Age of Convergence.
Journal of Korean Society of Medical Informatics 2006;12(1):1-7
The world is entering the era of convergence in which information and services are available everywhere all the time. Convergence is evident among products, technology, services, and even management processes. This new era transform the way we live and think in very profound ways and represents a great opportunity for new value creation to those industries and individuals who are willing to take advantage of the transition. Researchers, industry employees, and policy makers in health care industry should understand the power of this new world. This paper reviewed and classified types of convergence in healthcare, and summarized companies' endeavors and demands for convergence management at philosophical, structural, functional, and individual levels, respectively. Fundamental strategies in core competence management were suggested in healthcare industry, and rather industry-specific requirements were introduced in health and medical informatics field.
Administrative Personnel
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Commerce
;
Computer Communication Networks
;
Delivery of Health Care*
;
Health Care Sector*
;
Humans
;
Medical Informatics
;
Mental Competency
;
Organization and Administration