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Related Experiment Video

Updated: Jan 31, 2026

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

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Published on: February 3, 2021

Software engineering principles address current problems in the systematic review ecosystem.

Rabia Bashir¹, Adam G Dunn¹

¹Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.

Journal of Clinical Epidemiology

|December 25, 2018

Summary

This summary is machine-generated.

Systematic reviews face challenges with speed and redundancy. Improving the systematic review ecosystem requires new tools and policies to ensure the right reviews are produced efficiently, not just more reviews faster.

Keywords:

Evidence synthesis Machine learning Software engineering Systematic reviews as topic Trial registration Updating systematic reviews

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Area of Science:

Health Sciences
Information Science
Software Engineering

Background:

Systematic reviews are crucial for evidence-based practice but face production bottlenecks.
Current systematic review processes struggle to keep pace with trial evidence, leading to delays and redundancy.
Despite improvements in trial reporting, systematic reviews have not seen equivalent advancements in efficiency or quality.

Purpose of the Study:

To analyze challenges and opportunities in the systematic review ecosystem.
To identify areas for improving the efficiency, integrity, and maintainability of systematic reviews.
To propose solutions for better access to structured systematic review results.

Main Methods:

Application of software engineering principles to assess systematic review processes.
Review of current automation tools and their impact on systematic review efficiency.
Analysis of policy and technological advancements relevant to systematic reviews.

Main Results:

Existing automation efforts focus on individual review efficiency, not the overall ecosystem.
Significant opportunities exist to improve systematic review production through enhanced interoperability and maintainability.
Current systematic reviews are often redundant or biased, failing to impact clinical practice.

Conclusions:

Improving systematic reviews requires a shift towards producing the *right* reviews, not just more reviews faster.
New tools and policy changes are essential for enhancing the systematic review ecosystem.
Enhanced access to structured systematic review results can improve evidence synthesis and application.