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Real-Time Process Analytics in Emergency Healthcare.

Vassiliki Koufi1, Flora Malamateniou1, Adrianna Prentza1

  • 1Department of Digital Systems, University of Piraeus, Greece.

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This study introduces a framework for enhancing emergency medical systems (EMS) through real-time data analysis. It aims to improve collaboration and decision-making in emergency care delivery.

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Area of Science:

  • Health Informatics
  • Systems Engineering
  • Emergency Medicine

Background:

  • Emergency medical systems (EMS) involve complex, interrelated processes from initial call to hospital discharge.
  • Effective collaboration and coordination are critical for patient outcomes and overall EMS performance.
  • Current EMS often lack integrated technological infrastructure for seamless inter-organizational processes.

Purpose of the Study:

  • To present a framework for real-time analysis of EMS processes.
  • To provide healthcare professionals with timely insights for better decision-making.
  • To identify and mitigate critical risks in emergency care delivery.

Main Methods:

  • Utilizing standard workflow technology within a Service Oriented Architecture.
  • Implementing leading-edge analytics tools for data extraction and visualization.
  • Performing real-time analysis on process-related data within EMS.

Main Results:

  • The framework facilitates just-in-time insights across emergency healthcare processes.
  • Real-time analysis supports improved decision-making for healthcare professionals.
  • Potential critical risks affecting emergency care can be identified proactively.

Conclusions:

  • A technological framework integrating workflow technology and analytics can enhance EMS.
  • Real-time data insights are crucial for optimizing emergency care coordination and patient safety.
  • The proposed system empowers better management of emergency medical services.