A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making

Jeremiah Olawumi Arowoogun 1, *, Oloruntoba Babawarun 2, Rawlings Chidi 3, Adekunle Oyeyemi Adeniyi ⁴ and Chioma Anthonia Okolo ⁵

1 Bharat Serums and Vaccines Limited Lagos.
2 Global Future Redemption Empowerment Foundation, Nigeria.
3 Parkville MO & North Kansas City Hospital, United States.
⁴ United Nations Population Fund, Sri Lanka.
⁵ Federal Medical Centre, Asaba, Delta State, Nigeria.
 
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(02), 1810–1821
Article DOI: 10.30574/wjarr.2024.21.2.0590
 
Publication history: 
Received on 13 January 2024; revised on 19 February 2024; accepted on 21 February 2024
 
Abstract: 
This research paper presents a comprehensive review of data analytics in healthcare management, focusing on leveraging big data for decision-making. The literature review explores the historical evolution of data analytics, emphasizing its growing importance in clinical support, resource allocation, and operational efficiency within the healthcare sector. The paper discusses fundamental concepts, methodologies, and emerging trends, including integrating artificial intelligence, real-time analytics, and the impact of wearable technologies. Challenges such as data quality, privacy, and interoperability are identified, along with recommendations for future research. The findings underscore the pivotal role of data analytics in transforming healthcare decision-making processes, with implications for precision medicine, preventive healthcare, and enhanced patient outcomes.
 
Keywords: 
Healthcare Analytics; Big Data; Decision-Making; Precision Medicine; Data Quality
 
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