• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.139-140
• /
• 2024

최근 중대재해처벌법 등 근로자의 안전 및 건강관리를 위한 인식이 확산되며, 기업들의 근로자 건강관리 솔루션으로 디지털헬스케어의 건강관리서비스 플랫폼이 주목받고 있다. 그러나 국내 디지털헬스케어 시장에서 건강관리서비스 플랫폼은 사업화 단계에서 어려움을 겪고 있다. 본 논문에서는 개인건강기록에 기반한 맞춤형 건강관리서비스 플랫폼의 성공요인의 우선순위를 도출하여 효과적인 운영을 위한 실질적 전략의 시사점을 제시하였다. AHP 방법론을 통한 플랫폼 공급자와 수요자 측면 전문가 집단 연구 결과 법/제도, 데이터 분석 및 플랫폼 설계, 시스템 보안성, 시스템 안정성순으로 나타났다, 본 연구의 우선순위 결과를 통해 건강관리서비스 플랫폼, 나아가 국내 디지털헬스케어의 활성화 및 경쟁력 제고에 기여할 수 있기를 기대한다.

• Journal of the Korea Society of Computer and Information
• /
• v.17 no.3
• /
• pp.33-40
• /
• 2012

Recently, to enhance the quality and efficiency of health care services, smart health care services utilizing a smart phone and tablet pc are mainly being introduced into the large hospital and the interest for personal health record service which manages personal medical information utilizing PC and smart phone and technology development is actively underway. In order to build a next generation hospital information systems, the interoperability of data between the different hospital information systems and UX consistency between the various user devices must be assured. Therefore, in this paper, medical information standard and the study for improving the performance is conducted to design the gateway system which converting and integrating the medical information under multi-platform environment. In this paper, CCR standard is adapted to the mapping method between the data which is the key feature of the gateway system and design the system utilizing multi-table-based mapping method. To evaluate the performance of the system, experiment was done and the result has been improved approximately 20 percent for response rate.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.22 no.1
• /
• pp.83-90
• /
• 2018

In this paper, we propose an algorithm for analyzing personal health log information in android environment, providing personal health log information in android environment, providing personalized exercise information and monitoring the condition of pedestrians. Personal health log data collection is performed based on raw data of user using MPU6050 sensor based on Arduino. Noise was removed and age threshold was applied to distinguish movement information. In addition, to protect personal information, safety is enhanced by providing anti-compilation prevention and encryption/decryption of APK file, and the result of movement information collection is measured according to sensor location. Experimental results showed that the MPU6050 sensor mounted one the ankle wsa measured 98.97% more accurately then the wrist. In addition, the loading time of SEED 128 bit encryption based DEX file has the average time of 0.55ms, minimizing the overhead.