Utilizing Big Data analytics and electronic health record data in HIV prevention, treatment, and care research: a literature review

Propelled by the transformative power of modern information and communication technologies, digitalization of data, and the increasing affordability of high-performance computing, Big Data science has brought forth revolutionary advancement in many areas of business, industry, health, and medicine....

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Bibliographic Details
Published in:AIDS care 2024-05, Vol.36 (5), p.583-603
Main Authors: Qiao, Shan, Li, Xiaoming, Olatosi, Bankole, Young, Sean D.
Format: Article
Language:English
Subjects:
Affordability
Big Data
Big Data analytics
Charges
Communications technology
Computerized medical records
Data analysis
Data science
Digitization
Disease prevention
Electronic health records
Electronic medical records
Epidemics
Health services
HIV
Human immunodeficiency virus
Information technology
Literature reviews
Mathematical analysis
Medical records
prediction model
Prevention
Prevention programs
Preventive medicine
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Summary:Propelled by the transformative power of modern information and communication technologies, digitalization of data, and the increasing affordability of high-performance computing, Big Data science has brought forth revolutionary advancement in many areas of business, industry, health, and medicine. The HIV research and care service community is no exception to the benefits from the availability and utilization of Big Data analytics. Electronic health record (EHR) data (e.g., administrative and billing data, electronic medical records, or other digital records of information pertinent to individual or population health) are an essential source of health and disease outcome data because of the large amount of real-world, comprehensive, and often longitudinal data, which provide a good opportunity for leveraging advanced Big Data analytics in addressing challenges in HIV prevention, treatment, and care. This review focuses on studies that apply Big Data analytics to EHR data with aims to synthesize the HIV-related issues that EHR data studies can tackle, identify challenges in the utilization of EHR data in HIV research and practice, and discuss future needs and directions that can realize the promising potential role of Big Data in ending the HIV epidemic.
ISSN:0954-0121
1360-0451
1360-0451
DOI:10.1080/09540121.2021.1948499