Estimation and Monitoring of Operating Room Utilization by a Distributed Streaming and Analytics Architecture Deployed at Heidelberg University Hospital's Medical Data Integration Center...18th World Congress of Medical and Health Informatics, MedInfo 2021 - One World, One Health – Global Partnership for Digital Innovation, 2-4 October, 2021

Operating rooms are a major cost factor in a hospital's budget. Therefore, there is a need for process optimization related to the operating rooms (OR). However, the collection of key figures for process optimization is often done manually by medical staff. This can be erroneous, inaccurate, time co...

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Publicado en:Studies in Health Technology & Informatics Vol. 290; pp. 345 - 350
Autores principales: Klar, Oliver, Klass, Maximilian, Schneider, Gerd, Kenngott, Hannes, Heinze, Oliver
Formato: pictorial proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2022
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Sage Publications Inc.
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        atl: Estimation and Monitoring of Operating Room Utilization by a Distributed Streaming and Analytics Architecture Deployed at Heidelberg University Hospital's Medical Data Integration Center...18th World Congress of Medical and Health Informatics, MedInfo 2021 - One World, One Health – Global Partnership for Digital Innovation, 2-4 October, 2021
      aug:
        au:
          Klar, Oliver
          Klass, Maximilian
          Schneider, Gerd
          Kenngott, Hannes
          Heinze, Oliver
        affil: Department of Medical Information Systems (MIS), Heidelberg University Hospital, Heidelberg, Germany
      sug:
        subj:
          Operating Room Information Systems
          Artificial Intelligence
          Data Management
          Congresses and Conferences
          Operating Rooms Utilization
      ab: Operating rooms are a major cost factor in a hospital's budget. Therefore, there is a need for process optimization related to the operating rooms (OR). However, the collection of key figures for process optimization is often done manually by medical staff. This can be erroneous, inaccurate, time consuming, and incomplete. Automated, data-driven approaches are intended to address these problems and help to get the most precise picture possible of what is happening within the OR. At Heidelberg University Hospital (UKHD), a distributed AI based streaming analytics architecture was set up and integrated into the Medical Data Integration Center (MeDIC). This architecture can process, store, and visualize heterogeneous data from different sources. Data from medical devices and the video stream of the wall mounted cameras of four integrated operating rooms are ingested into our system. Aggregated and analyzed in real-time computed key figures including OR state and utilization numbers are visualized in a dashboard for monitoring and decision support. Because of high data protection hurdles the proposed system, especially the video analytics, was trained and tested with statists and did not run during real procedures. Studies to evaluate and test the system during live surgeries are planned.
      pubtype: Academic Journal
      doctype:
        pictorial
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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