Portal de Periódicos da CAPES

Big Data Analytics in Healthcare

2020; Springer Nature (Netherlands); Linguagem: Inglês

10.1007/978-3-030-49815-3_15

2211-3509

Wayne Matengo, Ezekiel Otsieno, Kelvin Wanjiru,

Cardiovascular Health and Risk Factors

Over the past 5 years, the growth of data in the world has been tremendous, rising by tenfold from 4 trillion gigabytes in 2013 to 40 trillion gigabytes expected by 2020. Flows of data have created new infrastructure, new businesses, new monopolies, new politics and—crucially—new economics. According to an International Data Corporation (IDC) report sponsored by Seagate Technology, it is found that big data is projected to grow faster in healthcare than in sectors like manufacturing, financial services or media. It is estimated that the healthcare data will experience a compound annual growth rate (CAGR) of 36 percent through 2025. This rapid increase in data volume is due to advancements in big data analytics tools and medical imaging, as well as the increasing availability of real-time data to help with clinical decision-making. The focus of this study is to examine data obtained from wearable technology (smartwatch to be specific) and perform data analysis on the large amount of data collected. By examining smartwatches, the goal is to demonstrate how the data on health metrics recorded by these devices could promote Personalised, Preventive, Predictive and Participatory Medicine (P4).