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Systematic review automation technologies
Guy Tsafnat1, Paul Glasziou, Miew Keen Choong
1Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Sydney, Australia. guyt@unsw.edu.au.
Systematic reviews are too slow for clinical practice. Information systems are emerging to automate tasks, potentially creating real-time, computer-programmed systematic reviews.
Area of Science:
- Medical Informatics
- Evidence-Based Medicine
- Clinical Trial Analysis
Background:
- Systematic reviews are crucial for evidence-based medicine but face delays due to cost, expertise, and timeliness.
- Existing information systems aim to automate or streamline individual tasks within the systematic review process.
Discussion:
- This survey examines the current state of informatics systems supporting systematic review tasks, from literature retrieval to meta-analysis.
- Some systematic review tasks are fully automated, while others remain manual, indicating areas for further research and development.
Key Insights:
- Convergence of research projects suggests a future of integrated systems for systematic reviews.
- Automation of specific tasks can significantly impact the overall efficiency and timeliness of systematic reviews.
Outlook:
- Future systematic reviews may be executed as automated computer programs, delivering real-time results.
- Integration of automated systems could revolutionize the systematic review workflow, enhancing clinical practice support.
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Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
