Big data in healthcare: management, analysis and future prospects

By Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma, Sandeep Kaushik. Journal of Big Data, 2019

1,309 citations recorded by the source corpus.

‘Big data’ is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it. Various public and private sector industries generate, store, and analyze big data with an aim to improve the services they provide. In the healthcare industry, various sources for big data include hospital records, medical records of patients, results of medical examinations, and devices that are a part of internet of things. Biomedical research also generates a significant portion of big data relevant to public healthcare. This data requires proper management and analysis in order to derive meaningful information. Otherwise, seeking solution by analyzing big data quickly becomes comparable to finding a needle in the haystack. There are various challenges associated with each step of handling big data which can only be surpassed by using high-end computing solutions for big data analysis. That is why, to provide relevant solutions for improving public health, healthcare providers are required to be fully equipped with appropriate infrastructure to systematically generate and analyze big data. An efficient management, analysis, and interpretation of big data can change the game by opening new avenues for modern healthcare. That is exactly why various industries, including the healthcare industry, are taking vigorous steps to convert this potential into better services and financial advantages. With a strong integration of biomedical and healthcare data, modern healthcare organizations can possibly revolutionize the medical therapies and personalized medicine.

Subfields: Health Information Management, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/bc6dbcaf4d2c76e618ae3f1043fd7276cbdf7f9b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

  1. Z. Bukeyeva
  2. Y. Toishibekov
  3. M. Zhanaliyeva
  4. A. Almabayeva
  5. Maksut Senbekov
  6. Nazym Aitenova
  7. Shaher Z. Al-Shehri
  8. Fahad A Al-Muhanna

Citations in the corpus