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Building AI‑Enhanced Living Guidelines

LEAPPAI is a collaborative project between the Faculty of Information Technology (FIT) at Monash University, MADA (Monash Art, Design and Architecture) and the Australian Living Evidence Collaboration (ALEC).

The project addresses a critical challenge in evidencebased healthcare: while living guidelines provide continuously updated recommendations, they require significant ongoing resources to maintain.

LEAPPAI investigates how AIenabled tools can be incorporated across the entire living guideline workflow, from evidence surveillance through to recommendation development, consultation, dissemination, an evaluation. By systematically mapping opportunities, risks, and benefits, the project aims to guide responsible and effective AI adoption in guideline development.

The project focuses on the Living Evidence for Australian Pregnancy and Postnatal Care (LEAPP) guideline as a real‑world case study.

What we do

LEAPP-AI follows a structured, multi-phase approach to: 

Map the living guideline workflow:

  • Analyse existing LEAPP processes through document review
  • Conduct interviews with key contributors
  • Break down workflows into discrete, task-level components

 

Identify relevant AI tools:

  • Systematically search for AI-enabled tools
  • Map tools to specific guideline development tasks
  • Evaluate and develop a framework

 

Assess tools using validation research and practical functionality:

  • Identify strengths, limitations, and risks
  • Develop a framework for integrating AI into living guideline processes
Why it matters

Living guidelines deliver undeniable value by ensuring recommendations remain current, relevant, and responsive to emerging evidence, but they require substantial ongoing resources to maintain. LEAPPAI addresses this challenge by investigating how AI can be used to:

  • Accelerate workflows
  • Reduce ongoing operational costs
  • Improve consistency and scalability
  • Enhance user engagement through tailored outputs
  • Free up expert time for critical tasks such as decision-making, equity, and implementation planning
Our team

LEAPPAI is led by researchers from the Faculty of IT, MADA and ALEC, including:

Get involved

If you are interested in contributing to or learning more about LEAPP‑AI, please get in touch.

We welcome collaboration with:

  • Guideline developers
  • Clinicians
  • Researchers
  • Policy makers
  • Technology partners

E: [email protected]

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We encourage everyone to view our guidelines before providing feedback:

Australian Pregnancy Care Guidelines
Australian Postnatal Care Guidelines

All comments are welcome, and are shared with the National Health and Medical Research Council (NHMRC) each time the new or updated recommendations are submitted for approval.

Your Details

Your feedback

eg. Pregnancy Guideline or Postnatal Care Guideline
eg. Section 9.1 Anaemia or Treating iron-deficiency anaemia

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For more information about Data Protection and Privacy at Monash University please see our Data Protection and Privacy Procedure.

If you have any questions about how Monash University is collecting and handling your personal information, please contact our Data Protection and Privacy Office at [email protected].

Data Protection and Privacy
Monash University values the privacy of every individual’s personal information and is committed to the protection of that information from unauthorised use and disclosure except where permitted by law. For information about the handling of your personal information please see the Research Data Protection and Privacy Collection Statement.

For more information about Data Protection and Privacy at Monash University please see our Data Protection and Privacy Procedure.

If you have any questions about how Monash University is collecting and handling your personal information, please contact our Data Protection and Privacy Office at [email protected].

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