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Updated: Sep 16, 2025

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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms.

Ludovico Gennaro Cobuccio1,2, Vincent Faivre1, Rainer Tan1,2,3

  • 1Centre for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.

BMC Medical Informatics and Decision Making
|July 4, 2025
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Summary
This summary is machine-generated.

The Medical Algorithm Suite (medAL-suite) empowers clinicians to create digital clinical decision support systems (CDSS) efficiently. This open-source tool enhances healthcare quality in low-resource settings by simplifying guideline implementation.

Keywords:
AlgorithmCDSSClinical decision supportClinical guidelinesDigital health

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Area of Science:

  • Health Informatics
  • Medical Software Development
  • Global Health Technology

Background:

  • Sub-optimal healthcare quality in low-resource settings is linked to poor adherence to clinical guidelines.
  • Clinical decision support systems (CDSS) can improve guideline adherence and care quality.
  • Developing electronic CDSS is often complex, costly, and requires specialized skills.

Purpose of the Study:

  • To develop an open-source software suite (medAL-suite) for efficient, accurate, and transparent CDSS creation.
  • To empower experienced clinicians in the development of CDSS, reducing reliance on software developers.
  • To facilitate the digitalization of paper-based clinical guidelines for improved healthcare delivery.

Main Methods:

  • Developed the Medical Algorithm Suite (medAL-suite) with four components: medAL-creator, medAL-reader, medAL-data, and medAL-hub.
  • medAL-creator enables clinicians to design algorithms using a code-free, drag-and-drop interface.
  • Automated deployment of algorithms via medAL-reader for point-of-care use, with configuration managed by medAL-data and medAL-hub.

Main Results:

  • medAL-suite successfully digitalized complex primary care guidelines for large-scale clinical studies.
  • Deployed in Tanzania, Rwanda, Kenya, Senegal, and India, leading to reduced inappropriate antibiotic prescriptions and improved care quality.
  • Over 300,000 pediatric outpatient consultations completed in Rwanda and Tanzania using the digital algorithm.

Conclusions:

  • medAL-suite promotes democratized development, process-centric design, and point-of-care utility for sustainable digital health systems in low-resource settings.
  • The software emphasizes low cost, low power consumption, and a touch-screen interface for usability.
  • Future developments should focus on interoperability and scalability, particularly integration with electronic medical records for enhanced user experience and service quality.