Discover Our Published Works
Featured Publications
Exploring the Role of In-patient Magnetic Resonance Imaging Use Among Admitted Ischemic Stroke Patients in Improving Patient Outcomes and Reducing Healthcare Resource Utilization
Kumar M, Beyea SD, Hu S, & Kamal N. (2024, March). Exploring the Role of In-patient Magnetic Resonance Imaging Use Among Admitted Ischemic Stroke Patients in Improving Patient Outcomes and Reducing Healthcare Resource Utilization. Frontiers in Neurology. 14; 1-9. https://doi.org/10.3389/fneur.2024.1305514
A Systematic Review of Computer Simulation Modelling Methods in Optimizing Acute Ischemic Stroke Treatment Services
Koca G, Kumar M & Kamal N. (2024, March). A Systematic Review of Computer Simulation Modelling Methods in Optimizing Acute Ischemic Stroke Treatment Services. IISE Transactions on Health care Systems Engineering. https://doi.org/10.1080/24725579.2024.2322959
Selected Publications
Holodinsky JK, Kumar M, NcNaughton CD, Austin PC, Chu A, Hill MD, Norris C, Field TS, Lee DS, Kapral MK, Kamal N, & Yu AYX. (2024, May). An interrupted time-series analysis of the impact of COVID-19 on hospitalizations for vascular events in three Canadian provinces. CJC Open. https://doi.org/10.1016/j.cjco.2024.04.010 Online In-Press.
Kumar M, Beyea SD, Hu S, & Kamal N. (2024, March). Exploring the Role of In-patient Magnetic Resonance Imaging Use Among Admitted Ischemic Stroke Patients in Improving Patient Outcomes and Reducing Healthcare Resource Utilization. Frontiers in Neurology. 14; 1-9. https://doi.org/10.3389/fneur.2024.1305514
Koca G, Kumar M & Kamal N. (2024, March). A Systematic Review of Computer Simulation Modelling Methods in Optimizing Acute Ischemic Stroke Treatment Services. IISE Transactions on Health care Systems Engineering. https://doi.org/10.1080/24725579.2024.2322959
Kumar M, Beyea S, Hu S & Kamal N. (2024, February). Impact of early MRI in ischemic strokes beyond hyper-acute stage to improve patient outcomes, enable early discharge, and realize cost savings. Journal of Stroke & Cerebrovascular Diseases. 33. https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107662
Paydarfar DA, Holodinsky JK, Mazya MV, Hill MD, Menon B, Jayaraman M, Kamal N. Modeling the decay in probability of receiving endovascular thrombectomy on the basis of time from stroke onset. Stroke: Vascular and Interventional Neurology. 2023; 3:6, 1-9. https://doi.org/10.1161/SVIN.123.000932
Koca G, Kumar M, Gubitz G, Kamal N. Optimizing acute stroke treatment process: insights from sub-tasks duration in a prospective observational time and motion study. Frontiers in Neurology. 2023; 14:1253065. https://doi.org/10.3389/fneur.2023.1253065
Mirpouya M, Kamal N. The application of data envelopment analysis to emergency departments and management of emergency conditions: a narrative review. Healthcare. 2023; 11:18, 1-28. https://doi.org/10.3390/healthcare11182541
Kumar M, Hu S, Beyea S, Kamal N. Is improved access to magnetic resonance imaging imperative for optimal ischemic stroke care?. Journal of the Neurological Sciences. 2023 Feb 18:120592. https://doi.org/10.1016/j.jns.2023.120592
Kamal, N., Yu, A.Y.Z. (2023). Addressing Access to Stroke Treatment for Patients with Pre-Existing Disabilities. Canadian Journal of Neurological Sciences. https://doi.org/10.1017/cjn.2023.5
Paydarfar, D.A., Holodinsky, J.K., Abbas, H., Field, T.S., Zhou, L.W., Kamal, N. (2022). Quantifying Improved Outcomes, Cost Saving, and Hospital Volume Changes From Optimized Emergency Stroke Transport. Stroke. 53(12). 3644-3651. https://doi.org/10.1161/STROKEAHA.122.039172
Kamal N., Aljendi S., Cora E.A, Chandler T., Clift F., Fok P.T., Goldstein J., Gubitz G., Hill M.D., Menon B.K., Metcalfe B., Mrklas K.J., Phillips S., Theriault S., Van Der Linde E., Volders D., Williams H., ACTEAST Collaborators. (2022). Improving Access and Efficiency of Ischemic Stroke Treatment Across Four Canadian Provinces Using a Stepped Wedge Trial: Methodology. Frontiers in Stroke. 1, 1-12. https://doi.org/10.3389/fstro.2022.1014480
Kamal, N. Lakshminarayan, K. (2022). Simulation and Machine Learning Provide New Approaches to Examine Quality of Acute Stroke Management. Stroke. 53(9), 2768-2769. https://doi.org/10.1161/STROKEAHA.122.039954
Wheaton, A., For, P.T., Holodinsky, J.K., Vanberkel, P., Volders, D., Kamal, N. (2021). Optimal Transport Scenario with Rotary Air Transport for Access to Endovascular Therapy Considering Patient Outcomes and Cost: A Modelling Study. Frontiers in Neurology. 2021; 17:article769381. https://doi.org/10.3389/fneur.2021.768381
Bulmer, T., Volders, D., Blake, J., Kamal, N. (2021). Discrete-event simulation to model the thrombolysis process for acute ischemic stroke patients at urban and rural hospitals. Frontiers in Neurology. 2021;12:article746404. https://doi.org/10.3389/fneur.2021.746404
Gillis, M., Saif, A., Murphy, M., Kamal, N. (2021). Effects of Various Policy Options on Covid-19 Cases in Nova Scotia Including Vaccination Rollout Schedule: A Modelling Study, MedRxIV, July. https://doi.org/10.1101/2021.07.28.21261219
Bulmer, T., Volders, D., & Kamal, N. (2021). Analysis of thrombolysis process for acute ischemic stroke in urban and rural hospitals in Nova Scotia Canada. Frontiers in Neurology, 12. doi:https://doi.org/10.3389/fneur.2021.645228
Kamal, N., Jeerakathil, T., Stang, J., Liu, M., Rogers, E., Smith, E. E., ... & Hill, M. D. (2020). Provincial Door-to-Needle Improvement Initiative Results in Improved Patient Outcomes Across an Entire Population. Stroke, 51(8), 2339-2346. doi:https://doi.org/10.1161/STROKEAHA.120.029734
Holodinsky JK, Kamal N, Zerna C, Ospel JM, Zhu L, Wilson LT, Hill MD, and Goyal M. (2020). In what scenarios does a mobile stroke unit predict better patient outcomes? A modelling study. Stroke, 51(6), 1805-1812. doi:https://doi.org/10.1161/STROKEAHA.119.028474
Kamal N, Rogers E, Stang J, Mann B, Butcher KS, Rempel J, Jeerakathil T, Shuaib A, Goyal M, Menon BK, Demchuk AM, Hill MD. (2019). 1-Year Healthcare Utilization for Patients that Received Endovascular Treatment Compared to Control. Stroke, 50, 1883-1886. doi:https://doi.org/10.1161/STROKEAHA.119.024870
Kamal N, Shand E, Swanson R, Hill MD, Jeerakthil T, Imoukhuede O, Heinrichs I, Bakker J, Stoyberg C, Fowler L, Duckett S, Holsworth S, Mann B, Valaire S, Bestard J. (2019). Reducing door-to-needle times for acute ischemic stroke to a median of 30 minutes at a community hospital: a cohort study. Canadian Journal of Neurosciences, 46(1), 51-56. doi:https://doi.org/10.1017/cjn.2018.368
Holodinsky JK, Williamson TS, Demchuk AM, Zhao H, Zhu L, Francis MJ, Goyal M, Hill MD, Kamal N. (2018). Drip ‘n ship vs. mothership: modelling stroke patient transport for all suspected large vessel occlusion patients. JAMA Neurology, 75(12), 1477-1486. doi:https://doi.org/10.1001/jamaneurol.2018.2424
Kamal N, Wiggam MI, Holodinsky JK, Francis MJ*, Hopkins E, Frei D, Baxter B, Williams M, Nygren A, Goyal M, Hill MD, Jayaraman M. (2018). Geographic Modeling of Best Transport Options for Treatment of Acute Ischemic Stroke Patients: Applied to Influencing Health Policy in the USA and Northern Ireland. IISE Transactions on Healthcare Systems Engineering, 8(3), 220-226. doi:https://doi.org/10.1080/24725579.2018.1501623
Kamal N, Sheng S, Xian Y, Matsoualka R, Hill MD, Bhatt D, Saver J, Reeves M, Fonarow GC, Schwamm LH, and Smith EE. (2017). Delays in door-to-needle times and their impacton treatment time and outcomes in Get With the Guidelines Stroke. Stroke, 48, 946-954. doi:https://doi.org/10.1161/STROKEAHA.116.015712
Kamal N, Smith EE, Jeerakathil T, Hill MD. (2017). Thrombolysis: Improving door-to-needle times for ischemic stroke treatment, a narrative review. International Journal of Stroke, 13(3), 268–276. doi:https://doi.org/10.1177/1747493017743060