No abstract available.

No abstract available.
Education* ; Informatics*

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*

No abstract available.
Delivery of Health Care*

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

OBJECTIVES: Services based on the Internet of Things (IoT) technologies have emerged in various business environments. To enhance health service quality and maximize benefits, this study applied an IoT technology based on NFC and iBeacon as an omni-channel service for patient care in hospitals. METHODS: Application of the IoT technology based on NFC and iBeacon was conducted in a general hospital during August 2015 through June 2016, and the development and evaluation results were aligned to an action research framework. The five phases in the action research included diagnosing, planning action, taking action, evaluating action, and specifying learning phases. RESULTS: During the first two phases, problems of functional operations in a hospital were diagnosed and eight service models were designed by using iBeacon and NFC to solve the problems. Service models were applied to the hospital by installing beacons, wearable beacons, beacon scanners, and NFC tags during the third phase. During the fourth and fifth phases, the roles and benefits of stakeholders participating in the service models were evaluated, and issues and knowledge of the whole application process were derived and summarized from technological, economic, social and legal perspectives, respectively. CONCLUSIONS: From an action research perspective, IoT-based healthcare services were developed and verified. IoT-based services enable the hospital to acquire lifelog data for precision medicine and ultimately be able to go one step closer to precision medical care. The derived service models could provide patients more enhanced healthcare services and improve the work efficiency and effectiveness of the hospital.
Commerce ; Computer Communication Networks ; Delivery of Health Care ; Health Services ; Health Services Research* ; Hospital Communication Systems ; Hospitals, General ; Humans ; Internet* ; Learning ; Patient Care ; Precision Medicine ; Telemedicine ; Wireless Technology

No abstract available.

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 ; Dentists ; Health Care Sector ; Humans ; Radiology Information Systems ; Software

No abstract available.
Delivery of Health Care*

OBJECTIVES: Big data analysis is receiving increasing attention in many industries, including healthcare. Visualization plays an important role not only in intuitively showing the results of data analysis but also in the whole process of collecting, cleaning, analyzing, and sharing data. This paper presents a procedure for the interactive visualization and analysis of healthcare data using Tableau as a business intelligence tool. METHODS: Starting with installation of the Tableau Desktop Personal version 10.3, this paper describes the process of understanding and visualizing healthcare data using an example. The example data of colon cancer patients were obtained from health insurance claims in years 2012 and 2013, provided by the Health Insurance Review and Assessment Service. RESULTS: To explore the visualization of healthcare data using Tableau for beginners, this paper describes the creation of a simple view for the average length of stay of colon cancer patients. Since Tableau provides various visualizations and customizations, the level of analysis can be increased with small multiples, view filtering, mark cards, and Tableau charts. CONCLUSIONS: Tableau is a software that can help users explore and understand their data by creating interactive visualizations. The software has the advantages that it can be used in conjunction with almost any database, and it is easy to use by dragging and dropping to create an interactive visualization expressing the desired format.
Artificial Intelligence ; Colonic Neoplasms ; Commerce ; Data Display ; Delivery of Health Care* ; Humans ; Information Storage and Retrieval ; Insurance, Health ; Intelligence ; Length of Stay ; Statistics as Topic