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3rd Annual IoT, Big Data Healthcare Summit

Location: BMO Institute for Learning. 3550 Pharmacy Avenue, Toronto, Canada
Date: May 15, 2018 12:00 amfloq.to/Rp0t8

Canada’s healthcare system is the subject of much political controversy and debate in the country. Some question the efficiencies of the current system to deliver treatments in a timely fashion and advocate adopting a private system similar to the US. Conversely, there are worries that privatization would lead to inequalities in the health system with only the wealthy being able to afford certain treatments (Canadian Healthcare).

IoT, Big Data Healthcare summit has become a must-attend summit in a brief period. It has become the meeting point for senior healthcare professionals across Canada. This is our 3rd summit of its kind in Toronto and, 5th in Canada. The conference gathers healthcare professionals from hospitals, healthcare authorities and, technology companies. It provides a platform to advance the conversation regarding utilization of new tools and, technologies such as; IoT, Big Data, Artificial Intelligence(AI), Blockchain etc. 3rd Annual IoT, Big Data Healthcare Summit is an ideal meeting point to become a part of the conversation. In the past, we had received excellent feedback

The objective of the summit is to bring the whole healthcare industry under one roof and provide a platform for healthcare practitioners to understand opportunities and challenges IoT, Big Data and other new technologies and tools like Blockchain, AI and M2M offer to Canadian healthcare system. The conference is an opportunity for healthcare and technology professionals to gather and discuss the outlook for Canadian healthcare system.

DOWNLOAD THE CONFERENCE BROCHURE‘for full speaker overview, the agenda, stats from previous conferences and more.

Health care is an area that greatly benefits from technology and Canada is no exemption.
New technologies in healthcare‘mean that healthcare professionals can provide better and higher quality of care for the patients. The technologies can be in many different areas, such as diagnosis as well as treatment. For example, certain machines can be used for better detection of various illnesses, while other evidence-based procedures and/or new equipment could aid in the treatment process, such as robotic surgery. Having such technologies ensures minimum error rates and maximum effectiveness.

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Tags: Big Data blockchain health care IoT M2M

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