Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
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Intelligent Hospital Information System Model for Medical AI Research/Development and Practical Use

의료인공지능 연구/개발 및 실용화를 위한 지능형 병원정보시스템 모델

  • Shon, Byungeun (Department of Medical Informatics, Kyungpook National University) ;
  • Jeong, Sungmoon (Department of Medical Informatics, Kyungpook National University)
  • 손병은 (경북대학교 의료정보학과) ;
  • 정성문 (경북대학교 의료정보학과)
  • Received : 2022.01.26
  • Accepted : 2022.03.20
  • Published : 2022.03.28
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Abstract

Medical information is variously generated not only from medical devices but also from electronic devices. Recently, related convergence technologies from big data collection in healthcare to medical AI products for patient's condition analysis are rapidly increasing. However, there are difficulties in applying them because of independent developmental procedures. In this paper, we propose an intelligent hospital information system (iHIS) model to simplify and integrate research, development and application of medical AI technology. The proposed model includes (1) real-time patient data management, (2) specialized data management for medical AI development, and (3) real-time monitoring for patient. Using this, real-time biometric data collection and medical AI specialized data generation from patient monitoring devices, as well as specific AI applications of camera-based patient gait analysis and brain MRA-based cerebrovascular disease analysis will be introduced. Based on the proposed model, it is expected that it will be used to improve the HIS by increasing security of data management and improving practical use through consistent interface platformization.

의료정보는 의료기기뿐만 아니라 카메라 등의 기기로부터 다양하게 생성된다. 최근 의료빅데이터 수집 및 관리에서부터 환자의 상태분석을 위한 의료인공지능 제품 및 관련 융합기술들이 급격히 증가하고 있지만, 실용화까지의 절차들이 산재되어 있어 실적용에 어려움을 겪고 있다. 본 논문에서는 의료인공지능 기술 연구, 개발 및 실용화 절차를 간소화하고, 관련 산업 발전 가속화를 위한 지능형 병원정보시스템 모델을 제안한다. 제안한 모델은 의료기관에서 (1)다양한 기기로부터 환자 데이터의 실시간 관리, (2)의료인공지능 기술 개발에 특화된 데이터 정제 및 관리, (3)개발된 의료인공지능 기술의 실시간 적용을 통합 지원한다. 이를 이용하여 환자모니터링기기로부터 실시간 생체데이터 수집 및 의료인공지능 특화 데이터 생성 사례와 기 개발된 카메라 기반 환자 보행분석 및 뇌MRA 기반 뇌혈관질환분석 기술의 구체적 적용사례를 소개한다. 제안한 모델을 기반으로 인공지능 개발에 필요한 데이터의 보안성 증대 및 일관된 인터페이스의 플랫폼화를 통한 실용화 증대로 병원정보시스템 개선에 활용되기를 기대한다.

Keywords

Acknowledgement

This research was supported by Kyungpook National University Research Fund, 2020.

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