Dr. Akshay Rajaram

Dr. Akshay Rajaram
Dr. Akshay Rajaram

MMI, MD



Biography

Residency

  • Queen's University, Family Medicine

Personal interests

  • Judo, Brazilian Jiujitsu

Publications

  1. Rajaram, A., Thomas, D., Sallam, F., Verma, A., & Rawal, S. (September 2020). Accuracy of the preferred language field in the electronic health records of two Canadian hospitals. Applied Clinical Informatics.
  2. Rajaram, A., Hickey, Z., Patel, N., Newbigging, J., & Wolfrom, B. (October 2019). Training Medical Students and Residents in the Use of Electronic Health Records: A Systematic Review of the Literature. Journal of American Medical Informatics Association.
  3. Rajaram, A., Morey, T., Shah, S., Dosani, N., & Mamdani, M. (August 2019). Providing data-driven equitable palliative and end-of-life care for structurally vulnerable populations: A pilot survey of information management strategies. American Journal of Hospice and Palliative Medicine.
  4. Rajaram, A., Moore, K., & Mamdani, M. (June 2019). Preparing Family Medicine Trainees for the Information Revolution: Pearls, Promises, and Pitfalls. Canadian Family Physician.
  5. Rajaram, A., Morey, T., Dosani, N., Pou-Prom, C., & Mamdani, M. (November 2018). Palliative Care in the 21st Century: Using advanced analytics to uncloak insights from Big Data. Journal of Palliative Medicine.
  6. Judd, M., Zulkernine, F., Wolfrom, B., Barber, D., & Rajaram, A. (September 2018). Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approaches. International Conference on Database and Expert Systems Applications.

Awards

  • Queen’s 2019-20 Resident Prize for Excellence in Undergraduate Teaching Queen’s Aesculapian Society Award (2019)
  • Henry Kaufman Memorial Prize (2019)
  • G.H. Ettinger Scholarship (2019)
  • 2019 CFMS – MD Financial Management Leadership Award College of Family Physicians Canada Medical Student Scholarship (2018)
  • Dr. S.S. Robinson Summer Studentship in Family Medicine (2017)

Research interests

  • Informatics
  • Advanced Analytics
  • Quality Improvement
  • Medical Education