Enabling personalised cohort studies at the point-of-care
Centre for health informatics
Research stream: Health Analytics
Project main description
While clinicians provide treatment decisions and prognoses for individual patients, traditional models of evidence are mostly based on averages over potentially heterogeneous populations. Furthermore, there are important, well-documented gaps in the evidence base. Randomised control trials often fail to represent real-world patient populations for whom interventions may be applied to. At the same time, limited resources, ethical, logistic and commercial reasons make some clinical trials unfeasible. These limitations represent a significant barrier to lowering the cost of healthcare and improving quality of care.
We propose the automated generation and analysis of personalised cohorts at the point-of-care to aid clinicians make prognoses and treatment decisions for individual patients in the absence of high-quality evidence. This project pushes the boundaries of e-health research combining advanced and innovative methods in epidemiology and machine learning to answer specific questions about specific patients in real time.
Opportunities (scholarships, grants and research positions)
Our postgraduate programs allow candidates to undertake advanced research leading to a Master's or PhD degree under the supervision of experienced senior research staff in one of AIHI’s research areas. Current research opportunities at AIHI.
- Gallego B, Walter SR, Day RO et al. Bringing cohort studies to the bedside: framework for a ‘green button’ to support clinical decision-making. J. Comp. Eff. Res. DOI: 10.2217/CER.15.12 (2015)
Centres related to this project
Content owner: Australian Institute of Health Innovation Last updated: 07 Sep 2018 2:51pm