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Personal profile


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 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 → …

Associate Editor, BMC Health Services Research

1 Jan 2018 → …

Member NHMRC Grant Review Panel, National Health and Medical Research Council

2018 → …

Committee member, Advisory Committee on Vaccines, Therapeutic Goods Administration

1 Jan 201731 Dec 2018

Fingerprint Dive into the research topics where Ling Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Hospital Emergency Service Medicine & Life Sciences
Electronic Prescribing Medicine & Life Sciences
Medication Systems Medicine & Life Sciences
Nurses Medicine & Life Sciences
Electronic Health Records Medicine & Life Sciences
Time and Motion Studies Medicine & Life Sciences
Pathology Medicine & Life Sciences
Medical Order Entry Systems Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2015 2021

Research Outputs 2004 2019

A cross-country time and motion study to measure the impact of electronic medication management systems on the work of hospital pharmacists in Australia and England

Westbrook, J. I., Li, L., Shah, S., Lehnbom, E. C., Prgomet, M., Schofield, B., Cresswell, K., Slee, A., Coleman, J. J., McCloughan, L. & Sheikh, A., 1 Sep 2019, In : International Journal of Medical Informatics. 129, p. 253-259 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Medication Systems
Time and Motion Studies
Time Management
Chest Pain
Observational Studies
Hospital Emergency Service

Diagnostic informatics: its role in enhancing clinical excellence, patient safety and the value of care

Georgiou, A., Hardie, R. A., Dahm, M. R., Li, J., Thomas, J., Sezgin, G., Li, L. & Westbrook, J. I., 21 Aug 2019, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Ohno-Machado, L. & Seroussi, B. (eds.). Amsterdam: IOS Press, p. 591-595 5 p. (Studies in Health Technology and Informatics; vol. 264).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Open Access
Patient Safety
Medical imaging
Information technology

Effectiveness of double checking to reduce medication administration errors: a systematic review

Koyama, A. K., Maddox, C-S. S., Li, L., Bucknall, T. & Westbrook, J. I., 7 Aug 2019, In : BMJ Quality and Safety.

Research output: Contribution to journalArticleResearchpeer-review

Medication Errors
Hospital Administration
Patient Harm
Patient Safety

Impact of rapid molecular diagnostic testing of respiratory viruses on outcomes of adults hospitalized with respiratory illness: a multicenter quasi-experimental study

Wabe, N., Li, L., Lindeman, R., Yimsung, R., Dahm, M. R., McLennan, S., Clezy, K., Westbrook, J. I. & Georgiou, A., Apr 2019, In : Journal of Clinical Microbiology. 57, 4, p. 1-11 11 p., e01727-18.

Research output: Contribution to journalArticleResearchpeer-review