A systematic perspective on the applications of big data analytics in healthcare management

ABSTRACT

The exponential growth in the data collected in the form of electronic health records, registries, or wearable sensors has bought a big data revolution in the health industry. A large amount of information is required to be extracted from this substantially available data that provides numerous benefits such as improved quality of life, disease diagnosis, treatment and healthcare service delivery system. The big data generated in the healthcare is characterized by large volume, heterogeneity and speed. The other issues associated with the healthcare big data include non-uniform data, large number of variables, and need for real-time data analysis. In this paper, we examine the existing literature in all the databases within the ISI Web of Science with the purpose of reviewing the current research and develop a new agenda. Total 91 papers, classified in five research categories namely, general healthcare, clinical diagnosis and research, service delivery system, disease transmission and prevention, and health insurance were reviewed. Reviewing past work is focused on identifying areas where big data analytics (BDA) is being applied in healthcare management. The outcome of the review is a proposed framework on BDA capability and its impact on healthcare organization performance.

KEYWORDS:

• Big data analytics
• healthcare
• blockchain
• insurance
• diagnosis
• service delivery
• analytics

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Sachin S. Kamble is an Associate Professor in Operations and SCM at National Institute of Industrial Engineering, Mumbai. His research area includes supply chain performance, big data analytics, industry 4.0 and digital technologies in SCM. He has around 80 published articles in international and national peer-reviewed journals.

Angappa Gunasekaran is Dean and Professor at the School of Business and Public Administration, California State University, Bakersfield (USA). He has over 500 articles published in international peer-reviewed journals. His research interest includes digital technologies, performance measures and metrics, big data analytics, technology management, logistics, and supply chain management.

Milind Goswami holds a postgraduate diploma in Industrial Management from National Institute of Industrial Engineering. Specialized in SCM, he holds a bachelor's degree in electronics and communication engineering from Ambedkar Institute of Advanced Communication Technologies and Research, Delhi.

Jaswant Manda holds a postgraduate diploma in industrial management from National Institute of Industrial Engineering, Mumbai. His interests lie in operations and SCM, and marketing management. He holds a bachelor's degree in mechanical engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad.