Big Data in Healthcare has Improved the Care Quality! A Reality or Myth?
Health is wealth, this old-age adage is a universal truth and the desire to remain healthy is the need of mankind. Healthcare is a priority for people, and technology helps to improve care quality and health management. Big data has set its feet firmly in the technology space and provided a significant push and great hope to the healthcare sector globally. Big data offers innovative approaches to improve healthcare outcomes. Big Data is a vast amount of structured and unstructured data collected from various sources, and it has the potential to offer sustainable healthcare outcomes, with improvements in care quality, and management. Healthcare improves the corporal and cognitive health of the people. The IoT applications offer efficient health feedback, better patient advice, and generate hope for future research. Big data analytics can transform how healthcare providers use sophisticated technologies to gain insight from their clinical and other data repositories and make informed decisions. Big Data analytics has caused a substantial paradigm shift in the healthcare sector. This paper examines how the big data influenced the health care industry between 2014–2024. Healthcare is one of the most important human needs and requires continuous review of existing healthcare systems and practices for their predictive abilities, accuracy, and commercial viability. Big data analytics using IoT intends to determine the process from data generation to the outcomes. The growth of big data applications is phenomenal, and data analytics applications offer significant future research potential for better and more user-friendly applications while lowering costs and increasing confidence in healthcare data results.
Authors
- Jianming Yong (ORCID: https://orcid.org/0000-0003-4111-1076)
- Yahua Zhang (ORCID: https://orcid.org/0000-0003-1522-3402)
- Xiaohui Tao (ORCID: https://orcid.org/0000-0002-0020-077X)
- Kireet Joshi (ORCID: https://orcid.org/0000-0001-5806-9156)
Institutions
- University of South Australia (AU)
- University of Southern Queensland (AU)
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/cbd65573.2024.00066
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.71