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IOT Based Process Model for Heart Monitoring Process

Authors: Dalyah Y. Al-Jamal, Maryam H. Eshtaiwi, Liyakathunisa Syed


Connecting health services with technology has a huge demand as people health situations are becoming worse day by day. In fact, engaging new technologies such as Internet of Things (IOT) into the medical services can enhance the patient care services. Specifically, patients suffering from chronic diseases such as cardiac patients need a special care and monitoring. In reality, some efforts were previously taken to automate and improve the patient monitoring systems. However, the previous efforts have some limitations and lack the real-time feature needed for chronic kind of diseases. In this paper, an improved process model for patient monitoring system specialized for cardiac patients is presented. A survey was distributed and interviews were conducted to gather the needed requirements to improve the cardiac patient monitoring system. Business Process Model and Notation (BPMN) language was used to model the proposed process. In fact, the proposed system uses the IOT Technology to assist doctors to remotely monitor and follow-up with their heart patients in real-time. In order to validate the effectiveness of the proposed solution, simulation analysis was performed using Bizagi Modeler tool. Analysis results show performance improvements in the heart monitoring process. For the future, authors suggest enhancing the proposed system to cover all the chronic diseases.

Keywords: Business process model and notation, cardiac patient, cardiac monitoring, heart monitoring, healthcare, internet of things, remote patient monitoring system, process model, telemedicine, wearable sensors.

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[1] Gardner, R. M., & Shabot, M. M. (2001). Patient monitoring systems. In Medical Informatics (pp. 443-484). Springer New York.
[2] Baig, M. M., & Gholamhosseini, H. (2013). Wireless remote patient monitoring in older adults. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). doi:10.1109/embc.2013.6610030
[3] Lubrin, E., Lawrence, E., & Navarro, K. (n.d.). Wireless Remote Healthcare Monitoring with Motes. International Conference on Mobile Business (ICMB'05). doi:10.1109/icmb.2005.115
[4] Sneha, B., Bhavana, V., Brunda, S., Murali, T. S., Puneeth, S., & Ravikiran, B. A. (2015). A wireless based patient monitoring system using Android technology. 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). doi:10.1109/icatcct.2015.7456851
[5] A multiband magnetic type wearable antenna for wireless patient monitoring applications. (2016, August 11). Retrieved from 35382&ta
[6] MediSuit: Wearable Health Monitoring System for Elders and Bed-ridden Patients. (2016, January 7). Retrieved from 27091
[7] (2015, July). Retrieved from
[8] Object Management GroupBusiness Process Model and Notation. (n.d.). Retrieved December 20, 2016, from
[9] Bizagi Modeler (Version (Computer software). (n.d.). Retrieved September 22, 2016.
[10] Hourly Rate by Job for Mercy Hospital Employees. (n.d.). Retrieved December 20, 2016, from .
[11] (Rep.). (n.d.). doi:
[12] Heart Disease and Stroke Statistics – At-a-Glance. (2014, December 17). Retrieved from
[13] Holter Monitors: A Tool to Detect Heart Disease. (2009). Retrieved December 31, 2016, from
[14] Holter Monitor: Uses and Expectations. (n.d.). Retrieved December 31, 2016, from
[15] Heart Disease Statistics. (n.d.). Retrieved December 31, 2016, from