Big Data In Health Care

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Background
The Obama Administration launched Precision Medicine Initiative (PMI) in 2015, which aims to provide individualized treatment based on a patient’s genetic, biomarker, phenotypic, or psychosocial characteristics. (Larry Jameson & Longo, 2015) This great vision only becomes possible thanks to the research and application of big data analytics in healthcare.

So far, big data analytics has been widely researched and applied in diverse aspects in healthcare: such as evidence-based medicine, genomic analytics, pre-adjudication fraud analysis, device/remote monitoring, patient profile analytics, which helps healthcare companies reduce much cost in clinical operations as well as research & development.

Big Data in Healthcare
“Big data” …show more content…
(Raghupathi, 2014) Data for healthcare has become so huge in volume and complex in data varieties that further digitalization is required for healthcare facilities to take biggest advantage of the “big data” and distinguish themselves from digital laggards, who are actually still the majority (78%) in pharmaceutical and medical-technology till 2017, as reported by Mckinsey&Company. (Chilukuri & Kuiken, 2017)

Challenges for Companies
Based on Mckinsey&Company’s experience with companies inside and outside the healthcare ecosystem, there are 4 factors leading to success in digitalization transformation: to identify and prioritize their critical sources of value, to build service-delivery capabilities (for instance, agile and DevOps methodologies), to modernize IT foundations, to build and maintain core management competencies. (Chilukuri & Kuiken, 2017). According to the interview report from by Deloitte Center for Health Solutions, Data quality, technology, and access to skilled labor are often big barriers to analytics investments and implementation efforts. Without enterprise–wide agreement on data definitions and requirements, analytics outputs aren't trusted and can lead to ineffective insights. (Flanigan & Thomas, 2017) This implies opportunities for …show more content…
(2014). Healthcare and Life Sciences Predictions 2020. Retrieved from https://www2.deloitte.com/: https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Life-Sciences-Health-Care/gx-lshc-healthcare-and-life-sciences-predictions-2020.pdf
Flanigan, B., & Thomas, S. (2017). 2017 US health plan analytics survey. Retrieved from https://www2.deloitte.com/us/: https://www2.deloitte.com/us/en/pages/life-sciences-and-health-care/articles/us-health-plan-analytics-survey.html
Jake Luo, M. W. (2016). Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomed Inform Insights. .
Larry Jameson, J., & Longo, D. L. (2015, Oct). Precision Medicine—Personalized, Problematic, and Promising. Obstetrical & Gynecological Survey, 70 (10), 612-614.
R Clarke, A. L. (2014, Aug). Unleashing the Value of Advanced Analytics in Insurance. Retrieved from https://www.mckinsey.com/: https://www.mckinsey.com/industries/financial-services/our-insights/unleashing-the-value-of-advanced-analytics-in-insurance#0
Raghupathi, R. a. (2014, feb 7). Big data analytics in healthcare: promise and potential. Health Information Science and Systems 2014

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