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Prototype of a clinical decision support system based on automated integration of clinical guidelines with real-time clinical data

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Guideline Recommendation Evaluator (GREvaluator)

Documentation Status

The guideline recommendation evaluator (GREvaluator) is a clinical decision support system based on automated integration of clinical guideline recommendations with real-time clinical data.

Introduction

Clinical guideline synthesize the current state of medical knowledge into treatment recommendations and provide thereby a source of decision support for health care professionals. However, the implementation of these guidelines in clinical practice is often hindered by the lack of awareness of individual guideline recommendations existence or applicability for specific patient conditions.

We have therefore designed a system for the automated integration of guideline recommendations with real-time clinical data to provide clinical decision support during individual patient treatments as well as for monitoring of overall guideline implementations.

The is being developed in the context of the CEOsys: Living evidence synthesis as the basis for decisions in the COVID-19 pandemic project.

CEOsys Netzwerk Universitätsmedizin

Quickstart

Prerequisites

Docker and docker-compose needs to be installed, e.g. under linux via:

sudo apt install docker docker-compose

Run

  1. Clone repository

    git clone https://github.com/glichtner/ceosys.git
  2. Generate secrets, user database and patient sample data

    ./generate.py
  3. Build docker containers

    docker-compose build --parallel
  4. Run containers

    docker-compose up
  5. Visit the dashboard at http://localhost:5000/

Documentation

The API Reference provides API-level documentation.

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Prototype of a clinical decision support system based on automated integration of clinical guidelines with real-time clinical data

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