Dr David Cumin

BE(Hons) PhD


Google Scholar profile | Linkedin profile


  • Journal articles

31. Cumin D, Baker PA, Anderson BJ: Incidence of post-induction hypoxemia in children and the effect of induction gas composition. Pediatric Anesthesia 2021. Link

30. Ludin NM, Orts-Sebastian A, Cheeseman JF, Chong J, Merry AF, Cumin D, Yamazaki S, Pawley MDM, Warman GR: General Anaesthesia Shifts the Murine Circadian Clock in a Time-Dependant Fashion. Clocks and Sleep 2021. Link

29. Weller J, Long JA, Beaver P, Cumin D, Frampton C, Garden AL, Moore M, Webster CS, Merry A: Evaluation of the effect of multidisciplinary simulation-based team training on patients, staff and organisations: protocol for a stepped-wedge cluster-mixed methods study of a nations, insurer-funded initiative for surgical teams in New Zealand public hospitals. BMJ Open 2020. Link

28. Harrison MJ, Connor CW, Cumin D: Pediatric blood pressures during anesthesia assessed using normalization and principal component analysis techniques. Journal of Clinical Monitoring and Computing 2019. Link

27. Merry AF, Gargiulo DA, Bissett I, Cumin D, English K, Frampton C, Hamblin R, Hannam J, Moore M, Reid P, Roberts S, Taylor E, Mitchell SJ: The effect of implementing an aseptic practice bundle for anaesthetists to reduce postoperative infections, the Anaesthetists Be Cleaner (ABC) study: protocol for stepped wedge, cluster randomised, multi-site trial. Trials 2019. Link

26. Hannam JA, Mitchell SJ, Cumin D, Frampton C, Merry AF, Moore MR, Kruger CJ: Haemodynamic profiles of etomidate vs propofol for induction of anaesthesia: a randomised controlled trial in patients undergoing cardiac surgery. British Journal of Anaesthesia 2019. Link

25. Merry M, Van Schalkwyk J, Cumin D, Warren J: Clinically Comprehensible Clustering of Change in Time Series: The C4TS Algorithm. ACSW 2019. Link

24. Webber J, Moran K, Cumin D: Paediatric cardiopulmonary resuscitation: Knowledge and perceptions of surf lifeguards. Journal of Paediatrics and Child Health 2018. Link

23. Harrison, MJ, Connor, CW, Cumin, D: Pediatric blood pressures during anesthesia assessed using normalization and principal component analysis techniques. Journal of Clinical Monitoring and Computing 2018. Link

22. Malpas, G, Taylor, JA, Cumin, D, Merry, AF, Mitchell, SJ: The incidence of hyperthermia during craniotomy. Anaesthesia and Intensive Care 2018. Link

21. Webber, J, Moran, K, Cumin, D: Paediatric cardiopulmonary resuscitation: Knowledge and perceptions of surf lifeguards. Journal of Paediatrics and Child Health 2018. Link

20. Hamano, G, Lowe, A, Cumin, D: Design of spiking neural networks for blood pressure prediction during general anesthesia: considerations for optimizing results. Evolving Systems 2017. Link

19. Sottas CE, Cumin D, Anderson BJ: Blood pressure and heart rates in neonates and preschool children: an analysis from 10 years of electronic recording. Pediatric Anesthesia 2016. Link

18. Cumin D, Skilton C, Weller JM: Information transfer in multidisciplinary operating room teams: a simulation-based observational study. BMJ Quality and Safety 2016. Link

17. Weller JM, Civil I, Torrie J, Cumin D, Garden A, Corter A, Merry AF: Can team training make surgery safer? Lessons for national implementation of a simulation-based programme.The New Zealand Medical Journal 2016. Link

16. Weller JM, Cumin D, Civil I, Torrie J, Garden A, MacCormick A, Gurusinghe N, Boyd M, Frampton C, Selander L, Cokorilo M, Tranvik M, Carlsson L, Lee T, Ng WL, Crossan M, Merry A: Improved scores for observed teamwork in the clinical environment following a multidisciplinary operating room simulation intervention. The New Zealand Medical Journal 2016. Link

15. Nakarada-Kordic I, Weller JM, Webster CS, Cumin D, Frampton C, Boyd M, & Merry AF: Assessing the similarity of mental models of operating room team members and implications for patient safety: a prospective, replicated study. BMC Medical Education 2016. Link

14. Torrie J, Cumin D, Sheridan J, Merry AF: Fake and expired medications in simulation-based education: an underappreciated risk to patient safety. BMJ Quality and Safety 2016. Link

13. Cumin D, Chen C, Merry A: Measuring the Repeatability of Simulated Physiology in Simulators. Simulation in Healthcare 2015. Link

12. Weller J, Cumin D, Torrie J et al: Multidisciplinary operating room simulation-based team training to reduce treatment errors: a feasibility study in New Zealand hospitals. The New Zealand Medical Journal 2015. Link

11. Lee H, Cumin D, Devcich D, Boyd M: Expressing concern and writing it down: an experimental study investigating transfer of information at nursing handover. Journal of Advanced Nursing 2014. Link

10. Boyd M, Cumin D, Lombard B, Torrie J, Civil N, Weller J: Read-back improves information transfer in simulated clinical crises. BMJ Quality & Safety 2014. Link

9. Weller J, Boyd M, Cumin D: Teams, tribes and patient safety: Overcoming barriers to effective teamwork in healthcare. Postgraduate Medical Journal 2014. Link

8. Henning MA, Sollers J, Strom JM, Hill AG, Lyndon MP, Cumin D, Hawken SJ: Junior doctors in their first year: mental health, quality of life, burnout and heart rate variability. Perspectives on Medical Education 2013. Link

7. Cumin D, Boyd MJ, Webster CS, Weller JM: A systematic review of simulation for multidisciplinary team training in operating rooms. Simulation in Healthcare 2013. Link

6. Cumin D, Newton-Wade V, Harrison MJ, Merry AF: Two open access, high-quality datasets from anesthetic records. Journal of the American Medical Informatics Association 2013. Link

5. Webster CS, Larsson L, Frampton CM, Weller J, McKenzie A, Cumin D, Merry AF: Clinical assessment of a new anaesthetic drug administration system designed to improve patient safety – a prospective, controlled, longitudinal incident monitoring study. Anaesthesia 2010. Link

4. Cumin D, Weller JM, Henderson K, Merry AF: Standards for simulation in anaesthesia: creating confidence in the tools. British Journal of Anaesthesia 2010. Link

3. Cumin D, Merry AF, Weller JM: Standards for simulation. Anaesthesia 2008. Link

2. Cumin D, Unsworth CP: Generalising the Kuramoto model for the study of neuronal synchronisation in the brain. PHYSICA D 2007. Link

1. Cumin D, Merry AF: Simulators for use in anaesthesia. Anaesthesia 2007. Link


  • Software / Data

5. Cumin DVianto: a video annotation tool.

A Java-based video annotation/coding tool with GUI to mark video for analysis or replay. Built with VLCj and packaged to run without the need to install VLC.

4. Cumin DAnaesthetic Shoulder Arthroscopy Cases (ASAC) Dataset.

A database of 20 anaesthetic records collected including patient data, time-stamped medical events/interventions, and physiologic data collceted at 0.2Hz. Formatted as XML files and published.

3. Cumin D: Various MATLAB functions

Contributed functions to find the longest common subsequence, plot Bland-Altman figures, complete a triangular matrix, run CellML models, and estimate parameters of a CellML model.

2. Harrison MJ, Cumin DPhysiological changes during anaesthesia for surgery with potential for moderate blood loss Dataset.

A database of 14 intra-operative records collected including patient data, time-stamped medical events/interventions, and physiologic data collceted at 0.1Hz. Formatted as XML files and published.

1. Cumin DCellML model for PhD: human cardiopulmonary physiology from cell to system.

This model integrates a sinoatrial node model, a ventricular model, lumped parameter compartment circularoty model, simple lung model, and a gas exchange model. Coded in CellML and published as part of a PhD thesis.


  • Patents

2. Kuriger DR, Cumin D, Rapoport DM, Nightingale CE, Wannigama S, Arrowsmith MJ, Kapelevich V: System, apparatus and methods for supplying gases. Patent PCT/NZ2013/000014 2014.

1. Cumin D, Greig N, Sholton E, Beck R: Drug Dose Measurement Device and Method. NZ Patent No. 597908 (Provisional) 2012

Research | Current

  • Medical simulation for research into human factors and product design
  • Medical data mining and time-series analysis
    • Anaesthetic records
    • Analysis of historic research data using rats (physiology for circadian analysis)
    • Pharmacy intervention databases
  • Physiological modelling
    • Biophysical models (CellML)
    • Adaptive models using real data for training and validation
  • Medical simulation for education



Contact details

Alternative contact

Level 12
Auckland 1023
New Zealand


Primary office location

M&HS BUILDING 507 - Bldg 507
Level 1, Room 1024
New Zealand

Web links