Dr David Cumin
- Journal articles
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
17. Wilson R, Burton P, Asher I, Carter K, Castelli A, Cumin D, Evelo C, Stewart L, Tsoi K, White E: Disseminating findings from the Data Analysis with Privacy Protection for Epidemiological Research (DAPPER) workshop. IJPDS (2017) Issue 1, Vol 1:281 Proceedings of the IPDLN Conference (August 2016); Wales. Link
16. Cumin D, Boyd M, Frampton C, Merry AF, Weller J: Measuring the impact of a multidisciplinary operating room simulation (MORSim) intervention on team communication in the clinical environment. New Zealand Interprofessional Health Conference, 2014; Auckland. Link
15. Cumin D, Boyd M, Frampton C, Merry AF, Weller J: Measuring the impact of a multidisciplinary operating room simulation (MORSim) intervention on team communication in the clinical environment. In SimHealth 2014; Adelaide. Link
14. Weller J, Madell D, Gurusinghe N, Torrie J, Merry AF, Boyd M, Cumin D: Improving teamwork: a thematic analysis of debriefs following simulated operating room scenarios with multidisciplinary teams. In SimHealth 2014; Adelaide. Link
13. Boyd M, Cumin D, Madell D, Merry AF, Weller J: Scoring case management in multidisciplimary operating room simulations. In SimHealth 2014; Adelaide. Link
12. Cumin D, Boyd MJ, Gurusinghe N, Merry AF, Weller J, Civil I, Guthrie W, Johnston S, Turberville-Smith M, Torrie J, et al.: Creating a Multidisciplinary Operating Room Simulation Course (MORSim) for training and research: Overcoming Barriers. In SimHealth 2013; Brisbane. Link
11. Cumin D, Boyd MJ, Torrie J, Knowles B, Gundesen A, Lee T, Crossan M, Garden A, Ng WL, Gurusinghe N, et al.: Evaluating a Multidisciplinary Operating Room Simulation Course (MORSim): Preliminary Results. In SimHealth 2013; Brisbane. Link
10. Boyd MJ, Cumin D, Lombard B, Torrie J, Weller J: The Information Probe Method for Studying Communication in a Simulated Clinical Environment. In SimHealth 2013; Brisbane. Link
9. Weller J, Merry AF, Civil IDS, Guthrie WM, Webster CS, Torrie JJ, MacCormick AD, Henderson KM, Ng WL, Gers M, Cumin D: A proposed simulation-based training and research programme for multi-disciplinary operating room teams: work to date. In New Zealand Association for Simulation in Healthcare Conference 2012.
8. Harrison M, Cumin D: Detection of Inadequate Ventilation post-CPB. In 13th International Congress of Cardiothoracic and Vascular Anesthesia and the New Zealand Anaesthesia Annual Scientific Meeting; Auckland, New Zealand: 2012.
7. Cumin D, Boyd M, Weller JM: Whole-team or simulations – why aren't there more courses? In SimHealth 2012; Sydney, Australia.
6. Boyd M, Cumin D, Weller JM: Whole-team OR simulations – what are the educational needs? In SimHealth 2012; Sydney, Australia.
5. Cumin D, Whiting D, Malla A, Gerred A, Dungan G: Randomized crossover evaluation of a novel implementation of pressure relief technology – SensAwake™ and fixed pressure CPAP. In World Association of Sleep Medicine & Canadian Sleep Society Congress; quebec City, Canada: 2011.
4. Cumin D, Merry AF: Standards for Simulation. In SimTecT Health; Brisbane, Australia: 2008.
3. Cumin D, Harrison MJ: A clinical data repository - toward standards for simulators and beyond. In Medical Sciences Congress; Queenstown, New Zealand: 2007.
2. Cumin D, Merry AF: Do simulators really represent real patients? In Medical Sciences Congress; Rotorua, New Zealand: 2006.
1. Cumin D, Unsworth CP: Extending the Kuramoto model to encompass neuronal synchronisation. In 24th International Australasian Winter Conference on Brain Research (AWCBR) 2006; Queenstown, New Zealand.
- Software / Data
5. Cumin D: Vianto: 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.
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 D: Physiological 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.
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.
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
Primary office location
TAMAKI BUILDING 721 - Bldg 721
Level 1, Room 134B
TAMAKI CAMPUS GATE 1, 261 MORRIN RD