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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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Published in:AIDS Care Vol. 36; no. 5; pp. 583 - 604
Main Authors: Qiao, Shan, Li, Xiaoming, Olatosi, Bankole, Young, Sean D.
Format: research systematic review tables/charts Journal Article
Published: Taylor & Francis Ltd May2024
Online Access:View this record in EBSCOhost
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      dt: May2024
      vid: 36
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/09540121.2021.1948499
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        atl: Utilizing Big Data analytics and electronic health record data in HIV prevention, treatment, and care research: a literature review.
      aug:
        au:
          Qiao, Shan
          Li, Xiaoming
          Olatosi, Bankole
          Young, Sean D.
        affil: South Carolina SmartState Center for Healthcare Quality (CHQ), Columbia, SC, USA
      sug:
        subj:
          Data Analytics Utilization
          Electronic Health Records
          HIV Infections Prevention and Control
          HIV Infections Therapy
          Clinical Research
          Prediction Models
          Machine Learning
          Artificial Intelligence
          Algorithms
          Human
          Systematic Review
          PubMed
          Embase
          Thematic Analysis
          Acquired Immunodeficiency Syndrome Prevention and Control
          Acquired Immunodeficiency Syndrome Therapy
          AIDS Vaccines
          Socioeconomic Factors
          Funding Source
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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