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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Nursing Clinical Information System01:27

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Methods of Documentation I: Source-Oriented Records01:18

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Integrated Healthcare System01:20

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Statistical Analysis System (SAS)01:14

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  2. An Open-source Systematic Reviews Integrated System (ossyris) - Streamlining Processes And Standardising Data Structures.
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  2. An Open-source Systematic Reviews Integrated System (ossyris) - Streamlining Processes And Standardising Data Structures.

Related Experiment Video

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

An Open-Source Systematic Reviews Integrated System (OSSYRIS) - Streamlining Processes and Standardising Data

Xavier Bosch-Capblanch1,2, Christian Auer1,2, A S M Sayem3

  • 1Swiss Tropical and Public Health Institute Allschwil Switzerland.

Cochrane Evidence Synthesis and Methods
|June 11, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

The Open-Source SYstematic Reviews Integrated System (OSSYRIS) streamlines systematic reviews by integrating tools for data extraction and analysis. This open-source platform enhances efficiency and reliability in conducting systematic literature reviews.

Keywords:
data extractionintegrationopen‐sourcesystematic reviews

Related Experiment Videos

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

Area of Science:

  • Bibliometrics
  • Health Informatics
  • Scientific Publishing

Background:

  • Systematic reviews (SRs) are labor-intensive, involving diverse tasks.
  • Artificial intelligence (AI) offers potential to improve SR efficiency and reliability.
  • Integrating software tools across SR production stages is key for optimization.

Purpose of the Study:

  • To report the development of the Open-Source SYstematic Reviews Integrated System (OSSYRIS).
  • To address challenges in SR data extraction through standardized data structures.
  • To create an open-source platform integrating all SR tasks, including overviews of SRs.

Main Methods:

  • Selected Zotero (reference management), KoboToolbox (screening/extraction), and R (analysis/reporting) based on criteria: few applications, comprehensive coverage, interoperability, and open-source.
  • Integrated selected software using R's Application Programming Interfaces (APIs).
  • Developed standardized data extraction forms based on Cochrane handbook and author experience.
  • Main Results:

    • OSSYRIS integrates Zotero, KoboToolbox, and R for automated screening status updates and PRISMA flow diagram generation.
    • Standardized data extraction forms with pre-coded items, filtering, and modular structures improve data integrity.
    • Internal algorithms automate study design and risk of bias assessments based on reviewer-input criteria.

    Conclusions:

    • OSSYRIS offers an open-source, integrated system for conducting systematic reviews.
    • The platform promotes the use of open-source tools in SRs.
    • OSSYRIS aims to foster a community of practice for continuous improvement within Cochrane and beyond.