Projects per year
Personal profile
Biography
BEcon, MComBus, MComIT, MBiostats, PhD in Stats
A/Prof Ling Li has participated in a wide range of complex projects on various aspects of health services research, including patient safety, health care delivery, health informatics and clinical epidemiology. She was trained as a biostatistician and has a strong track record in designing and analysing large-scale studies to evaluate the impacts of health interventions using complex health datasets. She has been involved in study designs of cluster randomised trials, stepped wedge cluster randomised controlled trials, time and motion studies and observational studies. She has conducted advanced statistical analyses for several large-scale studies involving linked data from clinical information systems, including projects on pathology testing utilisation and evaluation, risk identification tools for the early detection of sepsis, and the effects of information technology on changes in error rates and clinicians’ work patterns etc. She has made important contributions to the development and application of statistical approaches to health services research.
Research interests
- Biostatistics
- Quantitative methods in health service research
- Health evaluation
- Patient safety
- Public health and epidemiology
- Health informatics
- Meta-analysis
- Sepsis
External positions
Specialist Advisor, Therapeutic Goods Administration
1 Feb 2019 → …
Member NHMRC Grant Review Panel, National Health and Medical Research Council
May 2018 → Sep 2019
Associate Editor, BMC Health Services Research
1 Jan 2018 → …
Committee member, Advisory Committee on Vaccines, Therapeutic Goods Administration
1 Jan 2017 → 31 Dec 2018
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Creating a culture of safety and respect: a controlled, mixed-methods study of the effectiveness of a behavioural accountability intervention to reduce unprofessional behaviours
Westbrook, J., Braithwaite, J., Day, R., Middleton, S., Scott, D., Rapport, F., Mitchell, R., Baysari, M., Li, L., Ayliff, N., Hughes, C., McInnes, E., Goodier, G., Maddern, G., Cartmill, J., Churruca, K., Fletcher, M., Sunderland, N., Hibbert, P., Clay-Williams, R., Pavithra, A. & Crick, S.
1/12/17 → …
Project: Research
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Enhancing patient outcomes through evaluation of the appropriateness and quality use of pathology in general practice
Georgiou, A., Westbrook, J., Li, L., Pont, L. G., Pearce, C., Reinhart, N. & Crick, S.
26/06/17 → …
Project: Research
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Preventing patient harm in hospitals: automatic real time detection of adverse drug events using datasets from electronic clinical information systems
Li, L., Westbrook, J., Beuscart, R., Ma, J., Day, R. & Jones, G.
1/01/17 → …
Project: Research
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Delivering safe and effective care for children in hospital with ehealth systems
Westbrook, J., Georgiou, A., Day, R., O'Brien, T., Karnon, J., Dalla-Pozza, L., Cowell, P., Li, L., Baysari, M., Ambler, G., PhD Contribution (NHMRC), P. C. (. & PhD Contribution 2 (NHMRC), P. C. 2. (.
1/04/15 → …
Project: Research
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Sepsis Analysis and Epidemiological Interpretation
Li, L., Rathnayake, K., Sunderland, N. & Westbrook, J.
11/10/19 → 28/02/20
Project: Other
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Research Outputs
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Computerized clinical decision support systems for early detection of sepsis among adult inpatients: scoping review
Ackermann, K., Baker, J., Green, M., Fullick, M., Varinli, H., Westbrook, J. & Li, L., 23 Feb 2022, In: Journal of Medical Internet Research. 24, 2, p. 1-23 23 p., e31083.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Downloads (Pure) -
Computerized clinical decision support systems for the early detection of sepsis among pediatric, neonatal, and maternal inpatients: scoping review
Ackermann, K., Baker, J., Festa, M., McMullan, B., Westbrook, J. & Li, L., 9 May 2022, (Submitted) (JMIR Preprints).Research output: Working paper › Preprint
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Computerized clinical decision support systems for the early detection of sepsis among pediatric, neonatal, and maternal inpatients: scoping review
Ackermann, K., Baker, J., Festa, M., McMullan, B., Westbrook, J. & Li, L., 6 May 2022, In: JMIR Medical Informatics. 10, 5, p. 1-19 19 p., e35061.Research output: Contribution to journal › Review article › peer-review
Open AccessFile1 Downloads (Pure) -
Investigating the association between blood transfusion and clinical outcomes in patients with acute coronary syndromes: a data linkage approach to Patient Blood Management
Franco, G. S., Li, J., Li, L., Dean, M., Shalaby, G. & Georgiou, A., Jan 2022, In: Blood Transfusion. 20, 1, p. 50-58 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Prescribers' reported acceptance and use of drug-drug interaction alerts: an Australian survey
Baysari, M. T., Dort, B. A. V., Zheng, W. Y., Li, L., Hilmer, S., Westbrook, J. & Day, R., 10 May 2022, In: Health Informatics Journal. 28, 2, p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile