Monash Learning Health System

The Monash Learning Health System Learning is where people, technology and culture are aligned to enable cyclical, data-driven healthcare improvement.  MCHRI applies the LHS for evidence-based guideline development and implementation to improve healthcare and for health impact.   

The following are highlights of MCHRI’s Monash Learning Health System research projects and publications. 

Research Projects

• CCIRI – The Health Research Hub will centralise resources and foster connections among individuals working in consumer and community involvement (CCI) across Australia. The Health Research Hub responds directly to an Australian Health Research Alliance (AHRA) priority area and addresses an evidence-based need. 
  
  

• National Maternal Learning Health System and National Clinical Quality Data Registry
  Monash Maternity Learning Health System (LHS) – now funded by MRFF – integrates evidence from stakeholders, including consumers and healthcare providers, evidence from research, evidence from practice through the data registry and evidence from implementation.
  To establish a registry with harmonised data sharing analysis and transparency to improve healthcare, and building on Monash University’s world leading registry program.
  
  

• DELIVER  – Western Alliance led MRFF grant ($9M)
  
  
• MCHRI’s Healthcare Implementation Toolkit (soon to be launched) – tools and resources underpinned by the LHS framework as the evidence-base for successfully creating change within a complex system like health care.
  
  
• Emergency Care LHS to improve treatment of  Primary spontaneous pneumothorax (PSP) ($5M MRFF led by Prof Diana Edgerton-Warburton) Prof  Teede and A/Prof Enticott are both CIs.

Published papers

• Maternity and Stroke Care:
  • https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-024-03416-w
  • https://onlinelibrary.wiley.com/doi/10.1111/birt.12684
  • https://www.transformingmaternity.org.au/2022/04/the-learning-health-system-to-achieve-better-value/
• New published work by PhD student, Darren Rajit:
  • https://health-policy-systems.biomedcentral.com/articles/10.1186/s12961-023-01095-2
  • https://health-policy-systems.biomedcentral.com/articles/10.1186/s12961-024-01179-7
  • The LHS maturity Matrix (under review
    Analyzing electronic medical records to extract prepregnancy morbidities and pregnancy complications: Toward a learning health systemBelsti, Y., Moran, L., Mousa, A., Goldstein, R., Rolnik, D. L., Khomami, M. B., Kebede, M. M., Teede, H. & Enticott, J. (Leading Author), 2024, (Accepted/In press) In: Learning Health Systems. 14 p., e10473.