Abstract
Data analytics has been used in healthcare. Healthcare systems generate big data. Traditional data management techniques are often unable to manage the voluminous amounts of data produced in healthcare systems. Big Data analytics which is overcoming the limitations of traditional data analytics will bring revolutions in healthcare systems. Big data and Big Data analytics in healthcare systems are presented in this paper. Information security, privacy, and challenges of Big Data analytics in healthcare are also discussed.
Highlights
Medical science has long relied on clinical trials to demonstrate the efficacy of interventions, whether pharmaceutical, surgical, or device based
People are moving toward big data–based healthcare, including data-driven methodologies to accelerate the discovery of new diagnostics and drugs [2]
Big Data can be used in the health care to get innovative outcomes in the following areas [14]:
Summary
Medical science has long relied on clinical trials to demonstrate the efficacy of interventions, whether pharmaceutical, surgical, or device based. From a general practitioner’s desktop computer to cardiac monitors in an emergency room, a multitude of clinical information systems capture patient information This information exists at different levels of granularity, in diverse formats and recorded at varying frequency. A patient can record blood glucose levels at different times during the day when at home whereas a clinic may capture a single measurement but derive a different measure (glycated haemoglobin) to determine the three months average. This difference in granularity can be an extra dimension of information for Big Data analytics (BDA) when paired with medication, demographic or behavioral information. Exploring the path to big data analytics success for healthcare transformation is currently one of the most discussed topics in the fields of computer science, information systems (IS), and healthcare informatics [8]
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