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The Suggested Use of Big Data in Medical Analytics by Fortis Healthcare Hospital
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Author(s): Vivek Veeraiah (Sri Siddhartha Academy of Higher Education, India), K. O. Thejaswini (Sri Siddhartha Academy of Higher Education, India), R. Dilip (Dayananda Sagar Academy of Technology and Management, India), Sanjiv Kumar Jain (Medi-Caps University, India), Aradhana Sahu (Rungta College of Engineering and Technology, India), Sabyasachi Pramanik (Haldia Institute of Technology, India)and Ankur Gupta (Vaish College of Engineering, India)
Copyright: 2024
Pages: 15
Source title:
Adoption and Use of Technology Tools and Services by Economically Disadvantaged Communities: Implications for Growth and Sustainability
Source Author(s)/Editor(s): Alice S. Etim (Winston-Salem State University, USA)
DOI: 10.4018/978-1-6684-5347-6.ch012
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Abstract
The chapter describes how clinical data may be stored in digital formats, such as patient reports, as electronic health records, and how meaningful information from these records may be created using data analytics methods and tools that may assist patients and physicians to save time and money. The Apollo Hospital in Kolkata, West Bengal, India is the subject of this study. Apollo Hospital is the biggest hospital in West Bengal. It collects a huge quantity of heterogeneous data from various sources, including patient health records, lab test results, digital diagnostic supplies, healthcare insurance data, social media data, pharmaceutical data, gene expression records, transactions, and data from MY hospital's Mahatma Gandhi Memorial Medical College. Data analytics could be used to organise this data and make it retrievable. As a result, the term “big data” may be used. Big data is defined as exceptionally big datasets which may be analysed computationally to uncover trends, patterns, and relationships, visualisation, information privacy, and predictive analytics on a huge dataset.
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