Healthcare analytics in non-profits: Evidence from North America

Abstract

Background: The implementation of Big Data analytics in healthcare has an incredible chance of improving the quality of care, minimizing waste and error, and also decreasing the cost of care. Purpose: This systematic comment of literature objectives to discover the assortment of Big Data analytics in healthcare, including its applications and challenges in the adoption of its in healthcare. Furthermore, it intends to figure out the strategies to overcome the challenges. Data sources: An organized search of the articles was carried out on five primary scientific databases: ScienceDirect, Taylor, Francis and Emerald. The information articles on Big Data analytics in healthcare published from January 2017 to January 2022 are deemed. Data extraction: two reviewers independently extracted information on definitions of Big Data analytics; sources and applications of Big Data analytics in the healthcare field; challenges and strategies to overcome the issues in healthcare. Results: A complete of fifty eight articles are selected as per the inclusion needs and examined. The analyses of these posts placed that scientists do not have consensus about the useful definition of Big Data in serious healthcare. Big Data analytics finds the application for healthcare option support, optimization of healthcare operations, and reduction of treatment cost. The chief fight in serious adoption of Big Data analytics is non accessibility of evidence of its in healthcare. Conclusion: This review analysis unveils that there is a paucity of information on evidence of world utilization that is real of Big Data analytics in healthcare. Keywords: Big data, healthcare analytics.