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Data Integration and Analysis in Healthcare: A Pivot Within the Industry

Diaz, Mabeth (2022) Data Integration and Analysis in Healthcare: A Pivot Within the Industry. Master Essay, University of Pittsburgh.

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Abstract

Since the HITECH Act in 2011, there has been a shift in electronic health records (HER) and data platforms that focus on providing access and better-quality care to patients and impacting healthcare systems. As advancements with data continue, an increase in statistical analysis and big data within the healthcare industry has occurred, which has led to a rise in needing analytical background employees to join the healthcare industry—coupled with a need for careful compliance and security of data to avoid significant data breaches that affect the organization and the patient. The current healthcare industry is changing, and it is essential that organizations stay at the forefront of these advancements, or they may suffer the consequences of being left behind.
This essay analyzes the current literature to understand how Big Data has impacted essential healthcare functions and how the COVID-19 pandemic revolutionized our healthcare industry. The COVID-19 Pandemic has pushed for massive adoption of telemedicine and advanced analytics in healthcare. The literature will highlight specific adoption examples throughout the country and even within the Pennsylvania (PA) market, reviewing analytical work conducted within the Department of Marketing intelligence at UPMC. Lastly, the literature will highlight how artificial intelligence (AI), predictive modeling, and powerful analytical tools impact the healthcare industry by providing greater access to patients, improving the quality of care, and creating potential cost savings. Holistically, the literature will give clear data integration and analysis examples that benefit healthcare entities and confirm that the healthcare industry is changing.


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Details

Item Type: Other Thesis, Dissertation, or Long Paper (Master Essay)
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Diaz, Mabethmad402@pitt.edumad4020000-0002-9280-7463
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
Committee ChairBroom, Kevinkevinbroom@pitt.edukevinbroomUNSPECIFIED
Committee MemberCarlson, Jennajnc35@pitt.edujnc35UNSPECIFIED
Committee MemberCollins, Jacobcollinsjs@upmc.eduUNSPECIFIEDUNSPECIFIED
Date: 16 May 2022
Date Type: Completion
Submission Date: 21 April 2022
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 40
Institution: University of Pittsburgh
Schools and Programs: Graduate School of Public Health > Health Policy & Management
Degree: MHA - Master of Health Administration
Thesis Type: Master Essay
Refereed: Yes
Uncontrolled Keywords: advanced analytics, big data, modeling, cost, access, quality
Date Deposited: 16 May 2022 17:47
Last Modified: 16 May 2022 17:47
URI: http://d-scholarship.pitt.edu/id/eprint/42689

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