From Baltic Region to European Cooperation

3–6 Jun 2025 | Brussels, Belgium

Project cooperationUpdated on 30 April 2025

Workflow automation in healthcare settings

Maria Zande

Health informatics expert at Ergobyte Informatics S.A.

Thessaloniki, Greece

About

Process Modeling & Optimization

With its workflow automation component, Ergobyte employs Business Process Modeling Notation (BPMN), an open, well-accepted industry standard, enhances it with custom-built modules that use machine learning to adapt decisions, and couples it with openEHR, an open standard for the structuring of data in electronic health records. 

Key Features

  • BPMN employed to author workflows with high flexibility and execution visibility

  • Machine Learning modules use past results to improve their behavior

  • Process information encoded at all levels using SNOMED-CT, openEHR, etc

Any procedure can be formalized into executable diagrams, with benefits stemming from pervasive decision support and implementation transparency. The system addresses a wide range of needs arising within a healthcare or social facility, namely:

  • Computerized care guidelines (CCGs) and therapeutic protocols

  • Pre- and post-operative care

  • Clinical trials

  • Nursing care plans

  • Treatment optimization

  • Clinical documentation and reporting

Our assets

  • Proprietary , highly-performant BPMN execution engine

  • Single codebase comprising over 580.000 lines of source code

  • DataLife Hospital Information System, serving as testbed

Reference: P. Natsiavas, T. G. Stavropoulos, A. Pliatsios, H. Karanikas, G. I. Gavriilidis, V. K. Dimitriadis, G. Nikolaidis, S. Nikolopoulos, P. Skapinakis, E. Thireos and I. Kompatsiaris, “Using Business Process Management Notation to Model Therapeutic Prescription Protocols: the PrescIT Approach”, Medical Informatics Europe (MIE) 2021, Poster Presentation, 29-31 May 2021

Topic

  • Cluster Health (CL1): HORIZON-HLTH-2025-03-STAYHLTH-01-two-stage: Improving the quality of life of persons with intellectual disabilities and their families
  • Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders
  • Cluster Health (CL1): HORIZON-HLTH-2025-01-CARE-01: End user-driven application of Generative Artificial Intelligence models in healthcare (GenAI4EU)

Type

  • Partner seeks Consortium/Coordinator

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    George Nikolaidis

    CEO at Ergobyte Informatics S.A.

    Thessaloniki, Greece

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    Jakub Lickiewicz

    Assistant Professor at Jagiellonian University Medical College

    Kraków, Lesser Poland, Poland

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    • Cluster Health (CL1): HORIZON-HLTH-2025-03-DISEASE-02-two-stage: Advancing innovative interventions for mental, behavioural and neurodevelopmental disorders

    Patrick Duflot

    IT Analyst at CHU de Liège

    Liège, Belgium