• Journal of Service Research and Studies
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• v.13 no.1
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• pp.76-95
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• 2023

As information and communications technology-based "smart hospitals" and "digital healthcare" have become a hot topic in the healthcare field, hospital mobile apps are gaining attention; but, the utilization rate is low due to lack of publicity, unstable systems, and late updates. In this situation, systematic research is needed to increase the utilization rate of hospital mobile apps, but related research has been rare. Therefore, this study integrates the information systems success model (ISSM) from the technical perspective and the expectation-confirmation model (ECM) from the cognitive perspective to demonstrate the influence mechanism on the continuous use intention of hospital mobile apps. For this purpose, an online survey was conducted among 181 Korean adults who have used hospital mobile apps. The results of the structual equation modeling showed that most of the quality factors have significant effects on expectation confirmation, perceived usefulness, and satisfaction. Additionally, expectation confirmation significantly affects perceived usefulness and satisfaction, and both perceived usefulness and satisfaction significantly affect the continuous use intention of hospital mobile apps. This study is of importance in that it integrates the ISSM and ECM and applies them to the context of using hospital mobile apps, which are underutilized in the healthcare field, and provides practical implications for increasing the utilization rate of hospital mobile apps and operating effective and efficient services through the findings.

• The Journal of Information Systems
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• v.20 no.3
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• pp.25-40
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• 2011

Small and Medium sized hospitals are exposed to severe managerial environments recently. Around 8.0% of the hospitals are bankrupted every year. The adverse managerial environment does not only come from external factors such as patients' preference for larger hospitals, regulations on the medical charges; more serious problems come from the way the medium and small sized hospitals deal with those exogenous changes including lack of management skills, lack of change management skills, lack of managerial decision support systems, etc. This paper aims to support managers to make decisions regarding the exogenous changes. This paper can be interpreted as an attempt of a merge of the two techniques; BSC and system dynamics. Starting with a BSC system, the development of a system dynamics model can take advantages of the BSC information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.247-249
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• 2013

본 논문에서는 현재 보건소에서 시행중인 오프라인 비만관리 시스템을 벗어난 온라인으로도 효율적으로 참여자를 늘릴 수 있는 스마트폰의 GPS와 Accelerometer 센서를 이용한 실내외 운동과 식단관리를 통한 효율적이 비만관리 시스템을 설명한다. 이 시스템은 직장인, 비만계층처럼 오프라인 보건소 프로그램에 참가하기 힘들거나 자신감 결여로 참여가 힘든 계층에게 보건소의 프로그램과 동일한 프로그램을 온라인으로 제공하여 비용을 최소로 줄이고 최대의 효율을 가능하게 한다.

• Journal of The Korea Institute of Healthcare Architecture
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• v.12 no.2
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• pp.17-30
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• 2006

The wealth of Korean disability people's paradigm has developed by the meaning of whole rehabilitation of the small society for acception and protection. Today, that meaning has been changed to make and choose disability people's future plans by themselves. The CENTER FOR INDEPENDENT LIVING in Korea has been accepted through the American and Japanese's activity systems with no objection. Following result of the real reserching, because the CENTER FOR INDEPENDENT LIVING in Korea have no legal basement, so there are little support for these centers and no proper rules and check systems. Therefore, we have to make the legal basement of CENTER FOR INDEPENDENT LIVING and separate by each parts of system and to specialize about them. That means, each parts of system have to mark role mode for doing well, and each systems have to develop new programs and services, and to specialize for in Korea. To add, we should have more small CENTER FOR INDEPENDENT LIVING in each area, and the CENTER FOR INDEPENDENT LIVING which are already started should make network system to contact with other centers in society for giving support of proper information.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.177-190
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• 2011

Due to the growth of economy and the advancement of IT, the life expectancy has been prolonged and the interests in health have greatly increased. Recently the request for systems that enable measuring the bio-signals of patients in the non medical organizations, such as home, and transmitting them to medical staffs at remote sites for monitoring them. In this paper, we present an agent-based u-health system for patients or suspects with heart diseases. Our system consists of portable devices for measuring bio-signals and agents that perform data collection, data storage, automatic detection of abnormal status in patients, and HL7-based data exchange in a cooperative way. The main features of the system are : the agent-based architecture facilitates the addition of new service modules as well as the modification of existing ones; an intelligent agent is provided which automatically detects situations in which the bio-signals of patients are abnormal; the medical data standard is supported so that the communication with other systems is very easy. To our survey, there have been few previous systems which support all those features in a seamless way.

• Journal of Korea Artificial Intelligence Association
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• v.1 no.1
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• pp.11-16
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• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

• Journal of Korea Multimedia Society
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• v.22 no.5
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• pp.613-625
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• 2019

The rise of the Internet of Things (IoT) devices have greatly influenced many industries and one of them is healthcare where wearable devices started to track all your daily activities for better health monitoring accuracy and even down to tracking daily food intake in some cases. With the amounts of data that are being tracked and shared between from these devices, questions were raised on how to uphold user's data privacy when data is shared between these IoT devices and third party. With the blockchain platforms started to mature since its inception, the technology can be implemented according to a variety of use case scenarios. In this paper, we present a system architecture based on the healthcare system and IoT network by leveraging on multiple blockchain networks as the medium in between that should enable users to have direct authority on data accessibility of their shared data. We provide proof of concept implementation and highlight the results from our testing to show how the efficiency and scalability of the healthcare system improved without having a significant impact on the performance of the Electronic Medical Record (EMR) that mostly affected by the previous solution since these solutions directly connected to a public blockchain network and which resulted in significant delays and high cost of operation when a large amount of data or complicated functions are involved.

• Journal of Technologic Dentistry
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• v.46 no.2
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• pp.42-48
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• 2024

Purpose: The purpose of this study is to investigate the applications and prospects of big data in digital dental healthcare. Methods: The study included 30 participants in the dental field (dentists, technicians, professors, and graduate students). From June 25 to 30, 2023, the contents of the study were thoroughly explained, consent was obtained from the research subjects, and a questionnaire was administered via an internet service. The questionnaires of 28 participants who responded completely were used for analysis. The collected data were statistically processed using IBM SPSS Statistics ver. 22.0 (IBM). Results: The use of big data in digital dental healthcare, digital dental health system, mobile dental health, dental health analysis, and telehealthcare were all heavily surveyed, with an average score of 3.97 or higher on a 5-point Likert scale. The areas where big data can be utilized in digital dental healthcare are as follows. The utilization rate for three-dimensional digital product development via linkage with big data systems and industrial field manufacturing technology was found to be 4.11±0.67, and the analysis of trends by age in the occurrence of various oral diseases was found to be 4.00±0.98. Conclusion: In the future, research into the viability of big data's success in the medical data field, which is directly related to human life, is needed. Additionally, social policies and regulations regarding big data-related information and standards in dental healthcare are necessary.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.5
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• pp.125-130
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• 2009

Today, the handicapped or old people require continuous care, but there are a lot of practical difficulties. In this paper, the system measuring health conditions of the handicapped or old people (pulse and temperature) is developed. If urgent health conditions occur, measurement values are delivered to doctors or close family members using SMS (Short Message Service) of cellular phone. In the developed system, Pulse rate is measured by sensing bloodstream using high luminance LED and CdS illumination sensors. Body temperature is also measured by contactless temperature sensor. Also, the measured values are transmitted to a server computer using Zigbee communications. Also, the measured values the average of measurements and the time are saved. The wireless healthcare system is designed to help the emergency for the handicapped and old people by using SMS.

• Information Systems Review
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• v.19 no.2
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• pp.57-70
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• 2017

Researchers and industry managers highlight the emergence of mobile healthcare market given the rapid development of IT and the expansion of average life expectancy. Medical institutions, such as university hospitals, are aiming to achieve convenience and effectiveness of treatment by providing patient education through a mobile device. This study examines a case related to the development and usage of a mobile application based on Lean Canvas, namely, the Smart Explanation Service released by Samsung Medical Center. This application comprehensively analyzes the usage status of mobile application-based patient education and its application in clinical settings. This study also examines the level of satisfaction of patients and medical workers toward this application. The result of this study is expected to provide meaningful implication to medical institutions and related industries and enable them to create and offer prepare mobile healthcare services.