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Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Health Analytics as a Service (HAaaS)

 

 

 

Publications

  • Refereed Journal Articles
    1. Khazaei, H., McGregor, C., Eklund, J.M., El-Khatib, K., 2015, “Real-time and Retrospective Health Analytics as a Service”, JMIR Medical Informatics, 3(4), e36
    2. Hayes, G., Khazaei, H., El-Khatib, K., McGregor, C., and Eklund J.M.  Eklund, “Design and Analytical Model of a Platform-as-a-Service Cloud for Healthcare”, Journal of Internet Technology, Jan 2015, 16(1), pp 139-150, http://jit.ndhu.edu.tw/jitcontent2.php?getserial=1153&Vol2=16&No2=1
    3. McGregor, C, & Eklund, JM, (2010), “Next generation remote critical care through service-oriented architectures: Challenges and Opportunities”, Journal of Service Oriented Computing and Applications, 4 (1), pp 33-43
    4. McGregor, C., Maeder, A., (2009), “eHealth and Services Computing in Healthcare”, Journal of Theoretical and Applied Electronic Commerce Research, 4(2), i-ii
    5. McGregor, C., Kneale, B., & Tracy, M., (2007), “On-Demand Virtual Neonatal Intensive Care Units Supporting Rural, Remote and Urban Healthcare with Bush Babies Broadband”, Journal of Network and Computer Applications, vol. 30, no 4, pp 1309-1323, ISSN 1084-8045, ISI Web of Knowledge Impact Factor 1.071 (2006)
    6. McGregor, C. (2007), “A Framework for the Design of Web Service Based Clinical Management Systems to support Inter and Intra Organizational Patient Journeys”, International Journal of Healthcare Information Systems and Informatics, vol. 2, no. 2, pp 21-35, ISSN 1555 3396
  • Refereed Book Chapters
    1. Novakovic, A., Marshall, A.H., McGregor, C., 2020, “Introducing a Conceptual Framework for Architecting Healthcare 4.0 Systems”, in Transactions on Computational Science & Computational Intelligence (Advances in Computer Vision and Computational Biology), Springer Nature – Book Series, in press
    2. Hayes, G., El-Khatib, K., & McGregor, C. (2014). “Supporting Health Informatics with Platform-as-a-Service Cloud Computing”,  In Advanced Technologies, Embedded and Multimedia for Human-centric Computing (pp. 1149-1158). Springer Netherlands.
    3. McGregor, C., (2009), “Mobility in Healthcare for Remote Intensive Care Unit Clinical Management" Medical Informatics: Concepts, Methodologies, Tools and Applications, Hershey, PA: Global, Chapter 3.3
  • Refereed Conference Papers
    1. McGregor, C., Inibhunu, C., Glass, J., Doyle, I, Gates, A., Madill, J., Pugh, E.J., 2020“Health Analytics as a Service with Artemis Cloud: Service Availability”, 42nd IEEE Engineering in Medicine and Biology conference, Montreal, Canada, pp 5644-5648
    2. Bastwadkar, M., McGregor, C., Balaji, S., 2020, “A Cloud Based Big Data Health Analytics-as-a-Service Framework to Support Low Resource Setting Neonatal Intensive Care Unit”, 4th International Conference on Medical and Health Informatics (ICMHI 2020), Kamakura City, Japan, pp 30-36
    3. Inibhunu, C., Jalali, R., Doyle, I, Gates, A., Madill, J., McGregor, C., 2019, “Adaptive API for Real-Time Streaming Analytics as a Service”, 41st IEEE Engineering in Medicine and Biology conference, Berlin, Germany, pp3472-7
    4. Majola, P. X., McGregor, C., 2019, “Opportunities for a Cloud Based Health Analytics as a Service for Eastern Cape Initiation Schools in South Africa”, 32nd International Symposium on Computer-based Medical Systems (CBMS 2019), Cordoba, Spain, pp531-534
    5. Balaji, S., Patil, M., McGregor, C., 2017 “A Cloud based Big Data Based Online Health Analytics for Rural NICUs and PICUs in India: Opportunities and Challenges”, 30th International Symposium on Computer-based Medical Systems (CBMS 2017)pp 385-390
    6. Izaddoost, A., McGregor, C., 2016, “Enhance Network Communications in a Cloud-based Real-time Health Analytics platform Using SDN”, IEEE International Conference on Healthcare Informatics 2016 (ICHI 2016), pp 388-391
    7. Jalali, R., Dauda, A., El-Khatib, K., McGregor, C. and Surti, C., 2016, “An architecture for health data collection using off-the-shelf health sensors”, 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1-6
    8. Greer, R., Olivier, C., Pugh, J. E., Eklund, J.M., McGregor, C., 2014, “Remote, Real-Time Monitoring and Analysis of Vital Signs of Neonatal Graduate Infants”, 36th Annual International Conference of the IEEE  EMBS, Chicago, USA, pp 1382-5
    9. Khazaei, H., McGregor, C., Eklund, J.M., El-Khatib, K. and Thommandram, A., 2014, “Toward a Big Data Healthcare Analytics System: a Mathematical Modeling Perspective”, IEEE 10th World Congress on Services, Alaska, pp 208-15
    10. Kamaleswaran, R., Thommandram, A., Zhou, Q., Eklund, J.M., Cao, Y., Wang, W.P. and McGregor, C., (2013), “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, IEEE Computer Based Medical Systems (IEEE CBMS), Porto, Portugal, pp.473-6.
    11. Bressan, N., James, A., McGregor, C., (2013), Integration of Drug Dosing Data with Physiological Data Streams using a Cloud Computing Paradigm, 35th Annual International Conference of the IEEE EMBS, Osaka, Japan,  pp 4175–8.
    12. Kamaleswaran, R., Thommandram, A., Qi Z., Eklund, J.M., Cao, Y., Wang, W.P., McGregor, C., 2013, “Cloud Framework for Real-time Synchronous Physiological Streams to Support Rural and Remote Critical Care”, 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2013), Porto, Portugal, pp. 473-6
    13. McGregor, C., 2011, “A Cloud Computing Framework for Real-time Rural and Remote Service of Critical Care”, IEEE Computer Based Medical Systems, Bristol, UK, 6 pages CDROM
    14. Nizami, S., Green, J., McGregor, C., (2011), “Service oriented architecture to support real-time implementation of artifact detection in critical care monitoring”, 33rd Annual International Conference of the IEEE EMBS, Boston, Massachusetts, USA, pp 4925-8
    15. McGregor, C., Smith, K. and Eklund, M., (2009), “A Survey of Recent Physiological Monitoring and Transmission to Support the Service of Critical Care, 22nd IEEE International Symposium on Computer-Based Medical Systems, (CBMS2009), 7 pages
    16. Kamaleswaran, R., McGregor, C., Percival, J., (2009) “Service Oriented Architecture for the integration of clinical and physiological data for real-time event processing”, 31st International IEEE Engineering in Medicine and Biology Society Conference, Minneapolis, MN, pp 1667-70
    17. McGregor, C., & Smith, K., (2009), “A Survey of Physiological Monitoring Data Models to support the Service of Critical Care”Second IEEE Int. Workshop On Real-Time Service-Oriented Architecture and Applications (RTSOAA 2009), in association with 2009 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 09), Seattle, pp 104-9.