• Journal of Digital Convergence
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• v.10 no.2
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• pp.153-159
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• 2012

Now a days, U-healthcare comes into the spotlight as a new business model which combines RFID technology with medical service in the well-being era and IT popularization. U-healthcare service needs a method that can deals with hand-writing, overlap data, forgery and falsification of data, difference between information version that happen in medical process because of graft between RFID technology and u-healthcare. This paper proposes RFID based user certification protocol to protect user's privacy who gets medical service through U-healthcare. In the protocol, secret information of patient does the XOR with the secret key that is created in the hospital to reconsider the stability of security system of U-healthcare and user's data forgery and falsification and privacy and then saves it in the secret key field of patient in DB table. Also, it informs the case of illegal access to certification server and make it approved the access of u-healthcare service by differentiating whether u-healthcare is illegal or not.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.353-361
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• 2021

As demands for health and wellbeing in the ageing society have grown, complex problems involving diverse stakeholders arise in the healthcare environment. The objective of this study is to identify roles and abilities of designers in a healthcare setting where professionals from different disciplines collaborate to achieve a common goal. Case studies on healthcare design projects adapting interdisciplinary approach were explored to find which methods and processes were implemented effectively. Results are based on three research questions that lead to analyzing multifaceted roles of designers regarding process facilitation, manage relations, visualization, and imagination.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.269-272
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• 2023

본 논문은 디지털 플랫폼과 헬스케어 서비스를 통합한 병원 애플리케이션(병원 앱)의 개발 및 활용에 초점을 맞춘다. 목표는 환자와 의료 제공자 간의 의사 소통과 효율성을 향상시키는 것이다. 이 연구는 병원 앱의 주요 기능과 이점을 탐색하고, React Native를 사용하여 기술적 측면과 디자인 원칙을 제공하고, 적절한 사용 및 보안을 위한 지침을 검토한다. 이 연구는 병원 앱의 잠재력과 장점을 평가하고 의료 서비스 효율성과 품질을 향상시키기 위한 실용적인 지침을 제공하고 있다. 병원 앱의 통합으로 환자 치료, 커뮤니케이션을 개선하고 의료 프로세스를 간소화할 수 있다. React Native와 같은 기술을 활용하여 약속 일정, 예약 확인, 의료 정보 액세스, 의료 전문가 디렉토리와 같은 기능을 구현하여 포괄적인 사용자 경험을 제공할 수 있다. 지침과 규정을 준수하는 것은 의료 데이터의 적절한 사용과 보호를 보장하는 데 필수적이다. 향후 연구에서는 인공 지능 및 원격 의료와 같은 신기술을 병원 앱에 통합하고 장기적인 영향을 평가할 수 있다. 이 분야의 지속적인 개발과 혁신은 디지털 시대에 의료 서비스를 변화시킬 잠재력을 가지고 있다.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.145-155
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• 2019

The Healthcare supply chain management has recently attracted attention as a critical tool to improve service quality and reduce healthcare operational cost. Improving large hospital supply chain performance has become increasingly important as healthcare organizations strive to improve the service quality, while reducing the ever-increasing healthcare cost. This paper explores the strategic areas where the traditional supply chain management may enhance the overall performance of the large hospitals. Based on the literature review and relevant case analysis, this paper argues that the visibility, information sharing and standardization are the critical factors for deploying the supply chain principles, and also proposes the supply chain framework for efficient planning and execution, the use of RFID-enabled system for the end-to-end traceability of medical products, and cross-docking system for minimizing the inventory level in the hospital supply chain. Implications of the study findings are discussed.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.177-193
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• 2018

The business process management system that can integrate and manage a medical institution's processes has been increased importance to adapt to constantly changing medical environments and share information with various external medical institutions. The business process management system is an automated process tool that converts the graphic-based BPMN process model into a WS-BPEL, the execution language of the web service environment, and executes it through the process engine. However, the BPMN process model can be difficult to convert into WS-BPEL due to several ambiguities and structural inconsistencies. The process model may also contain structural anomalies that can lead to execution errors during process execution. In this paper, we present business process model formalization and structural anomaly verification techniques for facilitating integrated process management in medical institutions. Through the case study based on the IHE profile, we presented a formalized BPMN process model and verify the structural anomalies. We show the superiority of the proposed technique through comparative experiments with other related works.

• Knowledge Management Research
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• v.23 no.4
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• pp.69-89
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• 2022

As we enter a super-aged society, senior citizens' health issues are affecting a variety of fields, including medicine, economics, society, and culture. In this study, we intend to draw implications from unstructured data analysis such as text mining and social network analysis in order to apply digital health care service design for improving the cognitive ability of senior citizens. The research procedure of this study improved the service design methodology into a process suited to the analysis of unstructured data, and six steps were applied. Related keywords that exist on social media, focusing on cognitive improvement and healthcare for senior citizens, were collected and analyzed, and based on these results, the direction of healthcare service design for improving on the cognitive abilities of senior citizens was derived. The results of this study are expected to have academic and practical implications for expanding the scope of the use of big data analysis methods and improving existing healthcare service development methodologies.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.267-271
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• 2013

Our society has two prospective properties because of IT technology. Firstly, it is accelerated a degree of convergence. And convergence regions are expanded. For example, smart healthcare region was created by IT technology and medical industry. The efforts to convergence will be continued. Because of these properties, A number of data are made in our life. Through many devices such as smart phone, camera, game machine, tablet pc, various data types are produced. In this paper, we described utilization of Big Data. And we analysed Big Data processing process.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.1
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• pp.167-185
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• 2019

As most G-20 countries expect medical spending to grow rapidly over the next few decades, the burden of healthcare costs continues to grow globally due to an increase in the elderly population and chronic illnesses, and the ongoing quality improvement of health care services. However, under the rapidly changing technological environment of healthcare and IT convergence, the problem may become even bigger if not properly recognized and not properly prepared. In the context of the paradigm shift and the increasing problem of the medical field, complex responses in technical, institutional and business aspects are urgently needed. The key is to derive a business model that is appropriate for businesses that integrate IT in the medical field. With the arrival of the era of the 4th industrial revolution, new technologies such as Internet of Things have been applied to eHealthcare, and the need for new business models has emerged.In the e-healthcare of the Internet era, it became a traditional firm-based business model. However, due to the characteristics of dynamics and complexity of things Internet in the Internet of things, A business ecosystem-based approach is needed. In this paper, we present and analyze the major success factors of the ecosystem based on the 3 - layer structure of the e - healthcare business ecosystem as a result of research on e - healthcare business ecosystem based on emerging technology such as Internet of things. The three-layer business ecosystem was defined as (1) Infrastructure Layer, (2) Character Layer, and (3) Stakeholder Layer. As the key success factors for the eHealthCare business ecosystem, the following four factors are suggested: (1) introduction of the iHealthcare concept, (2) expansion of the business ecosystem, (3) business ecosystem change process innovation, and (4) business ecosystem leadership innovation.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.149-156
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• 2020

In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.35-40
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• 2020

As we enter the society of the future, efforts to increase healthy living are a major area of concern for modern people. In particular, the development of technology for a healthy life that combines ICT technology with a competitive healthcare industry environment is becoming the next growth engine. Therefore, in this paper, artificial intelligence-based data analysis of the examination results was applied in the health examination process. Through this, a research was conducted to build a knowledge base modeling that can improve the reliability of the overall judgment. To this end, an algorithm was designed through deep learning analysis to calculate and verify the test result index. Then, the modeling that provides comprehensive examination information through judgment knowledge was studied. Through the application of the proposed modeling, it is possible to analyze and utilize big data on national health, so it can be expected to reduce medical expenses and increase health.