Systematic Review Accelerator

Strengthen your team’s research capability and produce reproducible, publication-ready systematic reviews

Too often, research teams and doctoral cohorts struggle to deliver systematic reviews efficiently:

  • Literature searches miss key papers

  • Screening and synthesis are inconsistent

  • Manuscripts take months longer than expected

  • Supervisors and departments spend excessive time correcting avoidable errors

The Systematic Review Accelerator equips your team with structured workflows, hands-on mentorship, and AI support to produce rigorous, reproducible outputs and achieve results that enhance departmental metrics, publications, and rankings.

Programme Details

This programme is designed for:

  • University research teams and departmental units

  • Doctoral schools and postgraduate research offices

  • Health science departments and evidence synthesis teams

This programme is not for individual researchers. We work with cohorts and teams to ensure consistent, high-quality systematic reviews and manuscripts across the group.

Programme Outcomes

By the end of the Accelerator, your team will be able to:

  • Conduct comprehensive, reproducible literature searches

  • Map evidence efficiently while avoiding omissions

  • Extract, synthesize, and present data in publication-ready formats

  • Make confident decisions on inclusion/exclusion criteria

  • Produce manuscripts aligned with journal standards

  • Reduce wasted effort and improve team efficiency

This programme is designed to save your team months of trial-and-error, strengthen reproducibility, and reduce delays in publishing or grant submissions.

Program Structure

  • Session 1

    Project Scoping and Governance

    Define scope, relevance, and priorities as a team.

    Ensure each project aligns with departmental objectives and publication impact.

  • Session 2

    Literature Mapping & Search Strategy

    Develop a comprehensive, reproducible search workflow.

    Combine traditional databases with AI-assisted mapping to minimise risk of omission while maintaining reproducibility.

  • Session 3

    Screening & Inclusion Decisions

    Standardize inclusion/exclusion criteria across the team.

    Reduce errors and inconsistencies in screening and improve auditability of decisions.

  • Session 4

    Data Extraction & Synthesis

    Structured approach to extract and synthesise data to reduce friction during manuscript drafting.

    Use AI to streamline repetitive tasks while maintaining rigorous oversight.

  • Session 5

    Drafting & Structuring Manuscripts

    Build outlines and draft sections using standardized templates.

    Ensure consistency and publication-readiness across the team.

  • Session 6

    Critical Appraisal & Quality Checks

    Strengthen reproducibility, rigor, and defensibility of outputs.

    Team review of methods, synthesis, and interpretation.

  • Session 7

    Publication Strategy

    Identify target journals aligned with impact and departmental priorities.

    Plan submissions strategically to maximise visibility, acceptance probability, and institutional metrics.

  • Session 8

    Session 8: Follow-Up Clinic

    (Optional)

    Applied implementation clinic to review live outputs, resolve bottlenecks, and embed sustainable workflows.

Trusted by Research Teams

We have delivered workshops and programmes focused on systematic reviews, evidence synthesis, responsible use of AI in research, and research capacity building at:

Ready to sign up?

Take the next step to strengthen your team’s research capability.

This is a high-value institutional programme. We work with teams, not individuals, to deliver tangible outputs that improve publications, efficiency, and departmental impact.

Book a Consultation

Certificate included

✺ Frequently asked questions ✺

  • Teams or cohorts within departments, doctoral schools, or research units. This is not for individual researchers.

  • Sessions are delivered online and combine instruction, practical exercises, team discussions, and optional AI-supported tools

  • By the end of the programme, teams will have publication-ready manuscripts, standardized workflows, and improved reproducibility across their systematic reviews.

  • 4–8 weeks, typically 7–8 sessions, plus an optional follow-up clinic to review team outputs.

  • Yes. Each cohort is tailored to your research area, team size, and departmental priorities.