American Journal of Theoretical and Applied Business 2018; 4(2): 57-69 http://www.sciencepublishinggroup.com/j/ajtab doi: 10.11648/j.ajtab.20180402.14 ISSN: 2469-7834 (Print); ISSN: 2469-7842 (Online) Big Data in Healthcare Management: A Review of Literature Senthilkumar SA 1 , Bharatendara K Rai 2 , Amruta A Meshram 2 , Angappa Gunasekaran 3 , Chandrakumarmangalam S 4 1 Department of Management, Pondicherry University, Pondicherry, India 2 Charlton College of Business, University of Massachusetts Dartmouth, North Dartmouth, USA 3 School of Business and Public Administration, California State University, Bakersfield, USA 4 Department of Management Studies, Anna University Regional Campus, Coimbatore, India Email address: To cite this article: Senthilkumar SA, Bharatendara K Rai, Amruta A Meshram, Angappa Gunasekaran, Chandrakumarmangalam S. Big Data in Healthcare Management: A Review of Literature. American Journal of Theoretical and Applied Business. Vol. 4, No. 2, 2018, pp. 57-69. doi: 10.11648/j.ajtab.20180402.14 Received: March 4, 2018; Accepted: May 3, 2018; Published: July 3, 2018 Abstract: A systematic literature review of papers on big data in healthcare published between 2010 and 2015 was conducted. This paper reviews the definition, process, and use of big data in healthcare management. Unstructured data are growing very faster than semi-structured and structured data. 90 percentages of the big data are in a form of unstructured data, major steps of big data management in healthcare industry are data acquisition, storage of data, managing the data, analysis on data and data visualization. Recent researches targets on big data visualization tools. In this paper the authors analysed the effective tools used for visualization of big data and suggesting new visualization tools to manage the big data in healthcare industry. This article will be helpful to understand the processes and use of big data in healthcare management. Keywords: Big Data, Data Acquisition, Data Storage, Data Analytics, Data Visualization, Healthcare Management 1. Introduction Healthcare Industry is one of the world’s biggest and widest developing industries. During, the recent years the healthcare management around the world is changing from disease-centered to a patient-centered model [1] and volume- based to a value-based healthcare delivery model [2]. Educating the superiority of health care and decreasing the cost is a principle behind the developing movement toward value based healthcare delivery model and patient-centered care. The volume and demand for big data in healthcare organizations are growing little by little [3]. To provide effective patient-centered care, it is essential to manage and analyze huge health data. The outdated data management implements are not sufficient enough to analyze big data as variety and volume of data sources have increased in the past two decades. There is a need for new and innovative big data tools and technologies that can meet and exceed the ability of managing healthcare data [4]. Research study predictions on the worldwide big data expenditure in the healthcare business to progress towards Compound Annual Growth Rate (CAGR) of 42% during this years 2014-2019 [5]. The big data are used to predict the diseases before they emerge based on the medical records. Many countries’ public health systems are now providing electronic patient records with advanced medical imaging media [6]. The practice of big data takes the prospective to encounter the upcoming market needs and trends in healthcare establishments [7]. Big data provides a great opportunity for epidemiologists, physicians, and health policy experts to make data-driven judgments that will eventually develops the patient care [8]. The authors have used Google trends for analyzing the ‘big data in healthcare’ between 2010 and 2015. The resulting graph is shown in figure 1.