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Commercialization of mHealth & eHealth technology in Canada Dia Rahman MSc Student – Ubilab School of Public Health and Health Systems University of Waterloo Canada @diatrUW

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Page 1: Commercialization of mHealth & eHealth …cms.hfes.org/Cms/media/CmsImages/Commercialization-of...mHealth and eHealth “e-Health is a consumer-centered model of health care where

Commercialization of mHealth& eHealth technology in Canada

Dia Rahman MSc Student – Ubilab

School of Public Health and Health Systems

University of Waterloo

Canada

@diatrUW

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Acknowledgement

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Learning

objectives A resource for developing new mHealth and eHealth

focused interventions:

Define the gaps within current Canadian Healthcare system

Define eHealth and mHealth

Identify go to market commercialization strategy

Application of Human Factors in order to fill those gaps

Better understanding of market landscape of mHealth and eHealth

all across Canada

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‘Medicare’

Comprised of ten provincial and 3 territorial government health insurance plans

Provinces are responsible for the planning, financing and managing costs

Adhere to national healthcare principles set at the federal level

Public Administration

Comprehensiveness

Accessibility

Universality

Portability

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Challenges with the System

Wide spread of land with

about 30 million people

Increase in aging population

Structure of funding (From

federal provincial LHINs)

Increase in total healthcare

spending

(11.5% of total GDP= 242 bn)

Decrease in patient

satisfaction

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Information Communication Technologies

(ICTs) in Canada

Integration of information and

communication technologies

(ICTs) to support health

infrastructure in Canada

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mHealth and eHealth

“e-Health is a consumer-centered model of

health care where stakeholders collaborate,

utilizing ICTs, including Internet

technologies to manage health, arrange,

deliver and account for care, and manage

the health care system”*

“mHealth (health through the use of mobile

devices)”*

*Ontario Hospital Association Ontario Hospital e-Health Council draft

blueprint. December 2001. http://www.oha.com

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mHealth and

eHealth Growth

mHealth is a rapidly growing

area of research that

constantly changes to meet

new technology and needs of

the population.

As the scope of mHealth

grows, so does the diversity

of the challenges in the

knowledge needed to

support the growth (Canada

Health Infoway, 2016).

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Problem space

Tension between the private digital health market and public healthcare system

Disconnect between demand and provision

Healthcare = inherently risk-adverse

May lead those in charge to seek less innovative solutions (Scarffe, Smith, & Barrett, 2017).

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Go to Market Commercialization Strategy

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Human Factors Approach

Balancing people-centric needs and commercial

interest is a fine line in designing and developinginnovative, sustainable and successful health care systems

(Shorrok, & Williams, 2016).

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Individual Perception of mHealth and eHealth

Technology

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Key Findings

Based on literature review and interviews

Lack of consistent terminology defining mHealth and eHealth technology

Lack of definition between go to

market tools vs. wearables vs.

EHR’s vs. efficiency in Canadian and

North American Market

Lack of multidisciplinary expertise representation within mHealth and

eHealth technology space

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Relevance to HFES Community

Navigate the ecosystem

The gap between the private healthcare industry and public healthcare system’s perception of risk

Tools to bring various stakeholders and decision

makers to be on the same page

More collaboration and transparency for

stakeholders to work together

Increase trust among stakeholders in the healthcare system

Create a culture designed to share, communicate,

and collaborate on health innovation focused

projects instead of being in silos.

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1

An in-depth examination of human factors research that examines

barriers and facilitators of innovation in healthcare.

2

Decision- making frameworks essential for the success of Intellectual Property (IP)

management and commercialization of mHealth

Decision Making Frameworks

Health Technology

Assessment (HTA)

Committee

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Alternative Funding Models

Alternative funding models have been introduced in Canada to test a new way to innovate and foster various

forms of partnership across research institutions, government agencies and

innovation incubators.

Social Impact Bonds (SIBs) were introduced back in 2014 at the federal level between Public Health Agency of

Canada, the Health and Stroke Foundation and the MaRS Centre for

Impact Investing with the desired outcome of lowering blood pressure for about 7,000 seniors who are on

the verge of developing hypertension (Ciufo, & Jagelewski, 2014).

Alternative Funding Model

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Innovation Superclusters

A latest trend forming within the health innovation

ecosystem, where innovation super clusters are forming

around educational institutions, teaching hospitals and

incubators (Toronto Start, 2016).

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Summary

mHealth and eHealth space is growing rapidly

Roles of healthcare providers, decision makers and innovators are continually evolving

Government and regulations need to keep up with the change

Human centered and patient centered approach need to be taken to form a partnership between public system and private industry

Patients are becoming consumers of their health and have access to options to gather insights/data on their health

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How can we work together to help clinicians

become social agents for our patients with the help

of mHealth and eHeatlh technology?

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Thank you!

Dia Rahman

MSc Student – Ubilab

School of Public Health and Health Systems

University of Waterloo

Canada

@diatrUW

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References

Borrelli, B., & Ritterband, L. M. (2015). Special issue on eHealth and mHealth: Challenges and future directions for assessment, treatment, and dissemination. Health Psychology,34(Suppl), 1205-1208. doi:10.1037/hea0000323

Ciufo, G., & Jagelewski, A. (2014). Social Impact Bonds in Canada – MaRS Centre for Impact Investing. Retrieved September 17, 2017, from https://impactinvesting.marsdd.com/resource/social-impact-bonds-canada-investor-insights/

Cooper, Ansulie and Michael Kubzansky. 2013. m-Enabled Inclusive Business Models: Applications for Health. Bethesda, MD: SHOPS Project, Abt Associates.

Gavefalk, S., & Widén, L. (2016). International market selection : Assessing opportunities in the European Union for a mHealth consumer medical device start-up (Dissertation). Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-188829

Horst, E. V. (2016, January 01). Discursive legitimation: The influences of organizational and product aspects on the discursive legitimation practices of mHealth vendors. Retrieved September 6, 2017, from https://dspace.library.uu.nl/handle/1874/334213

J. Dykeman, D., E. Taylor, N., & A. von Reyn, J. (2014). Mobile Health Technologies Face A Changing Regulatory And Patent Landscape. ABA The SciTech Lawyer,10(3). Retrieved September 13, 2017, from https://www.gtlaw.com/en/insights/2014/5/mobile-health-technologies-face-a-changing-regulatory-and-patent-landscape.

Labajo, V. C., & Xiao, J. (2015, June 12). Market Entry, Strategy and Business Development in Mobile Health (mHealth) Industry. Retrieved September 12, 2017, from http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A820337&dswid=-6922

Looyestyn, J., Kernot, J., Boshoff, K., Ryan, J., Edney, S., & Maher, C. (2017). Does gamification increase engagement with online programs? A systematic review. Plos One,12(3). doi:10.1371/journal.pone.0173403

Pham, Q., Wiljer, D., & Cafazzo, J. A. (2016). Beyond the Randomized Controlled Trial: A Review of Alternatives in mHealth Clinical Trial Methods. JMIR mHealth and uHealth,4(3). doi:10.2196/mhealth.5720

Putting the heart in investing. (2017, July 10). Retrieved September 13, 2017, from http://startupheretoronto.com/partners/marsdd/putting-the-heart-in-investing/

Ravindra Jog, C. (2012). Healthcare technology, patient engagement and adherence: systems and business opportunity analysis. Massachusetts Institute of Technology,63-64. Retrieved September 12, 2017, from http://hdl.handle.net/1721.1/76493

Report on Digital Health: The economics of digital health. (2015, November 27). Retrieved September 17, 2017, from https://www.infoway-inforoute.ca/en/component/edocman/2821-infographic-report-on-digital-health-the-economics-of-digital-health/view-document?Itemid=0

Scarffe, A. D., Smith, A. D., & Barrett, D. (2017). Reshaping Health Care Through mHealth: Lessons from the On-Demand Economy. The Digitization of Healthcare,23-37. doi:10.1057/978-1-349-95173-4_2

Shorrok, S., & Williams, C. (2016). Human Factors and Ergonomics Practice in Healthcare. In Human Factors & Ergonomics in Practice- Improving System Performance and Human Well-Being in the Real World (pp. 181-191). New York, FL: CRC Press- Taylor & Francis Group.

Wickramasinghe, N., Goldberg, S., & Bali, R. K. (2008). Enabling superior m-health project success: a tricountry validation. International Journal of Services and Standards,4(1), 97. doi:10.1504/ijss.2008.016087