Read and review the following information content (if necessary, use your UIC netid and password to authenticate access to UIC Library materials if you are logging in from an off-campus ISP):

1. IBM Watson at MD Anderson Cancer Center by Shane Greenstein, Mel Martin, and Sarkis Agaian. Product Number: 621022-PDF-ENG https://hbsp.harvard.edu/import/989561

2. Zayas-Caban et al. (2020). Advancing Federal Initiatives. Journal of the American Medical Informatics Association [see attached]

3. Nazari et al (2019). Framework in healthcare. J Frontiers in Health Informatics [see attached]

4. Dammann et al. (2019). Data, information, evidence, and knowledge. Public Health Informatics [see attached]

5. Mehta et al. (2020). Elements of healthcare big data analytics. [Book Chapter]- organizational key elements and challenges

Please help Answer the following questions

QUESTION 1

According to this unit's case, how does the 'Jeopardy! Challenge' change data analytics at IBM? [SELECT ALL THAT APPLY]

		Pushes analytic techniques to analyze elements of human language (e.g., parsing, question classification)
		Helped develop algorithms that could apply confidence scores to determine the likelihood of a Jeopardy! response option being correct.
		Expands cancer treatment approaches beyond surgery through the MoonShots program
		Led to the discovery of Artificial Intelligence
		Advances analytic techniques through BowTie Analysis to better understand the role of human error.
		Forms the basis for use of matrices, which are used in multiple regression analyses, structural equation modeling, and advanced predictive analytic techniques.

QUESTION 2

Big data analytics have everything to do with data and nothing to do with mathematics.

True

False

QUESTION 3

Which of the following best describes North Shore's COVID-19 data analytics efforts?

		Projecting the number of COVID patients who would be admitted using an adjustable predictive analytics model
		A set of data analytic techniques that produced reports on usage and ordering resources, such as Personal Protective Equipment
		Use an advanced set of data analytics to predict the 'waves' and 'spikes' in COVID-19 to determine when the pandemic would end.
		Finding ways to predict patient mortality for vented patients within the next two weeks.

QUESTION 4

Which of the following is TRUE about using a model for data analytics?

		It's best to trust other peoples' models as they are published, already validated, and do not need verification against the data. Check for relevance periodically.
		Trust existing models, but verify that they work through validation. Check for relevance periodically.
		Report 95% Confidence intervals for transparency of the model
		All models are created equal. Keep an inventory of them and most any of them should work for your analytics purpose.

QUESTION 5

According to your assigned readings, which of the following is NOT a priority area for health information infrastructure growth?

		Interoperable electronic health record data
		Integration of knowledge at point-of-care
		Quality of data capture
		Recruitment of Health Informatics talent

QUESTION 6

A framework provides a template or pattern for the most common elements (containing tools, materials, or components) involved in solving a problem

True

False

QUESTION 7

According to your readings, what is a difference between 'Information' and 'Knowledge'?

		Trustworthiness. Information is more trustworthy than knowledge as it is closer to pure data.
		Protection. Knowledge is often protected by copyright whereas information is common knowledge.
		Production. Information is data in context whereas knowledge is evidence-based belief.
		Timeliness. Knowledge takes longer to produce than information, which is at a lower level on the data pyramid.

QUESTION 8

Which of the following is NOT a barrier to widespread analytics adoption?

		Funds necessary to implement and/or use data analytics
		Lack of expertise
		Data governance
		Fear of litigation

QUESTION 9

According to your readings, which of the following describe data visualization? [SELECT ALL THAT APPLY]

		Can help communicate analytics to stakeholders
		Can be created with tools such as tableau, jupyter, D3. js, QlikView, FusionCharts, google chart
		May help de-identify patient related health data through aggregate reporting
		Can improve data sharing culture