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Data Analytics: the future of healthcare

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Debbie Watson

on 16 May 2014

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Transcript of Data Analytics: the future of healthcare

Data Analytics
New ways of Using data Generated in Health Information Systems
by Debbie Watson

Outline
What is data analytics (DA) in healthcare?
Building blocks
Healthcare analytics for everyone
What is the value of using DA?
Why is DA gaining importance?
What are some of the challenges and barriers to DA?
What is the future of DA?
Is there a future for DA in Canada?
A few examples of DA
Summary
Points for discussion
References
What is Data Analytics in Healthcare?
Canadian Institute of Health Information (2013). Summary and recommendations for moving forward from better information for improved health: A vison for health system use of data in Canada, p.4
This Framework summarises well the building blocks for better information and for better health decision using data analytics.
Building Blocks
Analytics is the process of examining large amounts of big data to deliver new insights that can enable decisions in real or near real time (Canada Health Infoway, 2013).
Today, data analytics is used to describe more than predict.
Analytics may be descriptive, predictive or prescriptive (Cortada, Gordon & Leiban, 2012).


(Bickley, 2012)
What is the value of using DA?
What are Some of the Challenges and Barriers to DA?
What is the Future of DA?
Is there a future for DA in Canada?
..."it can drive fact-based decision making for planning, management, measurement and learning" (Cortada et al., 2012, p. 2).
It can explain what happened or how we are performing. It's often used also for benchmarking and performance improvement (Veillard & Berthelot, 2012).


Why is DA gaining importance?
Several factors are involved:
The increasing demands from health consumers
The shortage of healthcare providers who strive to deliver better outcomes
The healthcare delivery is getting more complex
The usage of the electronic health record helps in gathering data
(Cortada et al., 2012; Fickenscher, 2005)
1-The ability to get relevant data.
This is not to say that we don't have data but it's rather to decide on what data should be analyze.
2-The biggest barrier to adopting DA is organizational.
(e.i: a culture that does not encourage sharing information, institutions don't know where to start, a lack of skills and understanding how to use analytics)
3- Question of ownership. (Who owns this data?)
4- A huge financial burden to start
(Cortoda et al., 2012; Giokas & Mair, 2013)
A few examples of DA
Jeopardy-winning Watson

Watson can access the patient's electronic health record, then go out and read all the medical literature at up to 60 million pages per second!
Watson, a cloud base analytic service, is not meant to replace healthcare workers but rather offer relevant and prioritizing suggestions to the decision maker, helping physicians to identify the best diagnosis and treatment option in complex cases.
Seton Healthcare Family in Texas
500,000 new cases of congestive heart failure get diagnosed every year and more than half end up being readmitted within 6 months.
By using Big Data analytics they have now a better picture of the trends, patterns. Physicians are better equiped to make treatment decisions and predict which patient is more likely to get readmitted.
(Burk, 2012)
Artemis is all about merging human knowledge and technology.
Monitors are attached to premature babies and record vital signs- up to 1,000 recordings per second.
Artemis was developed to capture and analyze real-time data from medical monitors, alerting staff to potential health problems up to 24 hours before premature babies manifest clinical signs of infection or other issues.
Results:
Early warning gives caregivers the ability to proactively deal with potential complications—

Artemis at Toronto's Sick Kids Hospital
Canada lags in the adoption of analytics.
Canada is risk adverse. (Giokas & Mair, 2013)
Our healthcare system is publicly funded and competition does not play the same role as in the US.
Nevertheless, the incentives might differ but still Canada needs to create a high performing system to maintain citizen trust in a publicly funded health care system.
(Veillard & Berthelot, 2012)
Big Data analytics will look for trends and patterns and will be answering more open ended questions such as "how and why?"(Giokas & Mair, 2013; Bort, 2013).
Predictive analytics will be utilized more in the future.
Predictive analytics will bring the means to improve value by pinpointing areas where proactive steps can better support optimal revenue.
The question with predictive analytics is more forward-looking such as "What's next? and " What should we do about it?"
(Thayer et al., 2013)
more barriers...
The integration of software and tools may prove difficult.
Some data may come from multiple sources.
The data analytics will need to have the capabilities to combine a variety of data together.
(Thayer, Bruno & Remorenko, 2013)
(Barnett, 2013)
Traditional data versus Big Data
Present data, is disorganized and unstructured.
Few organizations have the capabilities of integrating the different softwares to give one clear report.

and.....
Edelstein, P. (2013, January). Emerging directions in analytics. Health Management Technology, 16-18.

Fickenscher, K. (2005, October). The new frontier of data mining. Health Management Technology, 28-30.

Giokas, D. & Mair, A. (2013, June 6). Canada Health Infoway. Webinar: Big Data Analytics in Healthcare. Available from https://www.infoway-inforoute.ca/index.php/events/past-events-highlights/big-data-analytics-in-health-webinar








Canada Health Infoway. (2013, April). Emerging Technology Series, Big Data Analytics in Health, white paper (Executive Summary). 1-10.

Canadian Institute of Health Information. (2013). Summary and recommendations for moving forward for Better information for Improved Health: A Vision for health system use of Data in Canada. Available from http://www.cihi.ca/CIHI-ext-portal/ pdf/internet/hsu_vision_summary_en

Cortada, J. W., Gordon, D. & Leniban, B. (2012). The value of analytics in healthcare. IBM Institute for Business Value. Availble from http://www-935.ibm.com/services/us/gbs/thoughtleadership/ibv-healthcare-analytics.html

Barnett, C. (2013, June 16) Explaining big data. Youtube video Available from www. youtube.com

Bickley, P. (2012). Healthcare analytics for everyone.
Available from http://www.youtube.com/watch? v=2Gl3gjJFNTM

Bort, J. (2013). Big data is about to produce a whole bunch of google-like companies, here's how. Business Insider. Available from http://www.businessinsider.com/big-data-is-about-to-produce-a-whole-bunch-of-google-like-companies-heres-how-2013-8#!

Burk, B. (2012). Smarter healthcare in Canada: Redefining value and success. Available from http://www.ibm.com/smarterplanet/global/files ca__en_us__healthcare__ca_brochure.pdf








References
Thayer, C., Bruno, J. & Remorenko, M. B. (2013 september). Using data analytics to identify revenue at risk. Healthcare Financial Management, 72-80.

Veillard, J. & Berthelot, J.M. (2012). Transforming healthcare through better use of data: A Canadian context. Electronic Healthcarer, 11(1) 32-34.
The Challenge for Canada
Is to balance
The need to strengthen public reporting and accountability
Promote:
A non- blaming environment
A health system that aims for continuous performance improvment supported by analytical capabilities
Can you name some initiatives in your workplace or outside that were undertaken because of data analytics results?
I have enumerated some potential barriers for the advancement of data analytics, in your opinion which one of these could be the most challenging to overcome and why?
Points for discussion
(Veillard & Berthelot, 2012)
Healthcare Analytics for Everyone
Canada Infoway list challenges to big data analytics such as:

Skilled ressources will be in demand to develop the software for big data analytics. "there is already a global skill shortage in the data scientist and data analyst role" (Canada Infoway, 2013, p. 7).
(Giokas & Mair, 2013)
(Giokas & Mair, 2013)
Summary
Data analytics is gaining popularity in healthcare.

Canada is behind in the development of data analytics.

As the electronic health record is implemented, the amount of data will continue to grow and analytics will take on an important role.

Although several challenges exist we will rely on data analytics in the future to assist us in delivering patient care.



It has the potential to analyse and interprete huge volumes of increasingly complex data (Edelstein, 2013).
In can reduce costs, improve coordination of care, give better outcomes, provide more with less (Cortada et al, 2012).
What is the value in using DA?
Points for Discussion
For most of the 20th century, we relied on “scientific” studies and “statistical significance” to guide our practice. Technology or big data analytics, could start guiding our practice. How comfortable would you be, on a scale from 0 to 10 (0 being not comfortable at all and 10 being very comfortable) on trusting and relying on a computer to guide or assist in patient care and why?
References
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