Implementing a system for the real-time risk assessment of patients considered for intensive care

• DOI: 10.1186/s12911-020-01176-0
• Publication Date: 2020-07-16T09:02:46Z
• Authors: Simarjot S. Dahella; James S. Briggs; Paul Coombes; Nazli Farajidavar; Paul Meredith; Timothy Bonnici; Julie L. Darbyshire; Peter J. Watkinson
• Keywords: Outreach; Graphical user interface; Interface (matter); Predictive Analytics; Gateway (web page)

Abstract Background Delay in identifying deterioration hospitalised patients is associated with delayed admission to an intensive care unit (ICU) and poor outcomes. For the HAVEN project (HICF ref.: HICF-R9–524), we have developed a mathematical model that identifies real time facilitates intervention of ICU outreach team. This paper describes system has been designed implement model. We used innovative technologies such as Portable Format for Analytics (PFA) Open Services Gateway initiative (OSGi) define predictive statistical respectively greater configurability, reliability, availability. Results The deployed part research Oxford University Hospitals NHS Foundation Trust. so far processed > 164,000 vital signs observations 68,000 laboratory results 12,500 algorithm generated score being evaluated review who are under consideration transfer ICU. No clinical decisions made based on output from system. computed using PFA all these patients. intent this will be displayed graphical user interface clinician response. Conclusions uses configurable compute which makes easily upgradable terms enhancing systems’ capability. Further enhancements planned handle new data sources additional management screens.