• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.8
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• pp.1517-1523
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• 2016

The global medical tourism industry including Asian market has been activating recently. That is as medical tourists are motivated to seek the higher quality of healthcare with lower costs, as well as of travel. The consumers in this field tend to need customized services of medical tourism. It is needed that the consumers get customized information on medical services and traveling, the clinics and hospitals resolve the issues of offering translation and luring medical tourists from overseas, and the guides, who offer tour and translation service, provide the consumers and the clinics with customized services so that they get the services needed for one another. This research studies the Offline to Online, called O2O, matching platform based on global clinics, which connects medical facilities, patients, and guides for traveling and language services. It presents the customized marketing plans by utilizing customers' experiences from medical services and traveling they use.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.227-237
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• 2014

The purpose of this paper is to implement a multiple bio-signal central monitoring system based on textile fabrics flexible platform which can obtain and monitor bio signals(heart rate, body temperature, electrocardiography, electromyogram) of workers in special working environments and additional situational information (3-axis acceleration, temperature, humidity, illumination, surrounding image). This system can prevent various accidents that may occur in the remote work environment and provide fast and efficient response by detecting workers' situations in real-time. For it, the textile fabrics flexible platform was made as innerwear or outerwear so that it does not interfere with workers' performance while collecting bio-signal and situational information, and obtained information is sent to the central monitoring system through wireless communication. The central monitoring system is based on wireless medical telemetry service of WMTS (Wireless Medical Telemetry Service); can monitor from 2 to 32 people simultaneously; and was designed so that it can be expanded. Also, in this study, to verify performance of the WMTS communication model, packet transmission rates were compared according to the distance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.11
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• pp.870-878
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• 2013

The objective of this paper is to develop mobile-based PACS(Picture Archiving Communication System: mPACS) for diagnostic medical image service available via Android-based mobile smartphone. The proposed mPACS provides an integrated platform for mobile application of diagnostic medical images stored in hospital PACS, and allows the smartphone to store, retrieve, manipulate and transfer the diagnostic medical images. Then, the mPACS platform includes the following features for use in the Android framework (i. e., diagnostic medical image processing) : transfer protocols between PACS, mPACS and smartphone, image format converter, JPEG and JPEG2000 coders, text and avatar search, and etc. This mPACS is shown to be useful and effective in providing a solution for mobile-based diagnostic medical image service.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.10
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• pp.239-246
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• 2020

In the medical field where artificial intelligence technology is introduced, research related to clinical decision support system(CDSS) in relation to diagnosis and prediction is actively being conducted. In particular, medical imaging-based disease diagnosis area applied AI technologies at various products. However, medical imaging data consists of inconsistent data, and it is a reality that it takes considerable time to prepare and use it for research. This paper describes a one-stop AI learning platform for converting to medical image standard R_CDM(Radiology Common Data Model) and supporting AI algorithm development research based on the dataset. To this, the focus is on linking with the existing CDM(common data model) and model the system, including the schema of the medical imaging standard model and report information for multi-center research based on DICOM(Digital Imaging and Communications in Medicine) tag information. And also, we show the execution results based on generated datasets through the AI learning platform. As a proposed platform, it is expected to be used for various image-based artificial intelligence researches.

• The Journal of Pediatrics of Korean Medicine
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• v.31 no.3
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• pp.46-63
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• 2017

Objectives The Korean Medicine (KM) PHR platform is a personalized healthcare service which allows individuals to keep and manage their own health records. When parents are reporting for their children from their memories, there is high possibility of recall errors. In these cases, it could be useful for doctors to collect the patient's symptoms through PHR platform. In this study, we aimed to investigate the clinical significance of the PHR by using the KM PHR platform in the pediatric clinic. Methods The PHR platform was used to collect child health information from parents and child care teachers. The collected data were analyzed in comparison with the results of screening by pediatrician. Results A total of 58 children were recruited, 44 of which health information were collected from their parents and their child care teachers. The remaining 14 children's health information were collected from their parents only. As a result the parents tended to perceive their children weaker than the child care teacher. Compared to other organs, there was a only significant difference in the heart weakness score and spleen weakness score in the comparison of the weak and healthy children. Conclusions Although the study was conducted on a small group of subjects, and used PHR platform developed specifically for adults to indirectly input child's symptoms, and analyzed their health information, there was a difference in health records between information providers. Development of PHR platform for children is needed to collect more reliable information.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.57-64
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• 2020

Today, with the development of information technology, hospitals are actively researching hospital information systems that are not limited by time and space to integrate mobile computing technology into the medical field to manage the bulk data of medical information. Nevertheless, most hospitals still spend a lot of time and effort creating manual schedules. In this paper, we studied an optimization model for organizing nurses' shift work and constructed an automated nurse-type job organization system. For nurses working in S hospital, information data, requirements and constraints of nurses were constructed. By applying this, we proposed an optimized scheduling method and built a web-based platform used by head nurses and a mobile app platform used by general nurses to enable real-time interchange and sharing around web servers. Therefore, through the developed nurse needs type automated system, the head nurses will increase the convenience of the nurses to organize the work every month, and general nurses will help them to work more accurately through personal schedule management. It is also expected to increase work efficiency by sharing work schedules among nurses.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.335-342
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• 2024

This research developed an urban information platform to enable holistic urban design across multiple disciplines and regions, addressing Japan's urban challenges. By aggregating a wide range of urban data into a geographic database, the study emphasizes data-driven decision-making in urban planning. The platform supports the visualization and analysis of critical domains like medical and water supply, enhancing decision-making processes. Key contributions include the creation of evaluation indicators and the demonstration of the platform's application in urban design discussions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.718-723
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• 2018

In a positive Internet of Medical Things (IoMT) environment, by combining the latest computer network technology with IoT technology, remote health care such as health care and monitoring is improved through the provision of quality medical information services. In this paper, we identified and compared the platforms applied with blockchain and presented the results of developing the product distribution de-centralized DApp. In the process, we developed a distribution platform that can use blockchain technology to identify product fraud, manage data, manage customers' information, prevent forgery, track transaction history, and facilitate product transactions.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1571-1576
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• 2022

This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

• Journal of Communications and Networks
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• v.16 no.4
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• pp.465-474
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• 2014

Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.