Dillon Chrimes

Dillon  Chrimes
Assistant Teaching Professor
Health Information Science

BSc (UVic), BSc (Alberta), MSc (UVic), MSc (Umeå, Sweden), PhD (Umeå, Sweden)


Dr. Dillon Chrimes is an Assistant Teaching Professor at the School of Health Information Science, University of Victoria, BC, Canada. Dillon has 20 years experience learning and working in academia, government and industries. Understanding health informatics is important in the pursuit of digital health and patient care. Dillon is a proponent of health information science as measurements with engineering as structured analysis for accurate assessment and toward health informatics, and management of the measured values in a framework and model of applications in health care. Dillon has language proficiency in Greek, Japanese and Swedish.

  • Artificial Intelligence in Health Care
  • BioMedical Devices
  • Data Analytics and Visualizations
  • Digital Health Platforms
  • Electronic Health Records
  • Health Big Data
  • Hospital Systems and Integrated System Engineering
  • Surveillance and Usability of Health Informatics
  • Virtual Care in Health IT
  1. Chrimes D, Zamani H, Spenser C, Westwood A (2021) Decision-Support Expert System to Assess Severe COVID-19. COVID-19 Pandemic: Case Studies & Opinions 02(03): 279–303. https://researchinfotext.com/article-details/Decision-Support-Expert-System-to-Assess-Severe-COVID-19.
  2. Kuo A, Chrimes D, Qin P, Zamani H. A Hadoop/MapReduce Based Platform for Supporting Health Big Data Analytics. Studies Health Technol Inform 257 (2019): 229-235.
  3. Chrimes D, Zamani H, Moa B, Kuo A. Importance of Simulations of Hadoop/MapReduce-Based Platform to Support its Usability of Big Data Analytics in Healthcare. Athens Journal of Technology and Engineering 5:3 (2018), 197-222.
  4. Chrimes D, Moa B, Zamani H, Kuo A. Interactive Big Data Analytics Platform for Healthcare and Clinical Services. Global Journal of Engineering Sciences 1(1): 2018. GJES. ISSN: 2641-2039.
  5. Chrimes D, Kuo A, Moa B, Hu W. Towards a Real-time Big Data Analytics Platform for Health Applications. International Journal of Big Data Intelligence4:2 (2017), 61-80.
  6. Chrimes D, Moa B, Kuo A, Kushniruk A. Operational Efficiencies and Simulated Performance of Big Data Analytics Platform over Billions of Patient Records of a Hospital System. Advances in Science, Technology and Engineering Systems Journal 2:1 (2017), 23-41.
  7. Kuo A, Chrimes D, Moa B, Hu W. Design and Construction of a Big Data Analytics Framework for Health Applications. IEEE Proceedings International Conference on Smart City/SocialCom/SustainCom together with DataCom 2015 and SC2 2015, Chengdu, China. (2015): 631-636.
  8. Chrimes D, Kitos N, Kurshniruk A, Mann D. Usability testing of Avoiding Diabetes Thru Action Plan Targeting (ADAPT) decision support for integrating care-based counseling of pre-diabetes in an electronic health record. International Journal of Medical Informatics 83:9 (2014), 636-647.
  9. Li A, Kannry J, Kurshniruk A, Chrimes D, McGuinn T, Mann D. (2012). Integrating usability testing and think-aloud protocol analysis with go-live clinical simulations in evaluating clinical decision support. International Journal of Medical Informatics 81 (2012), 761-772.