Year: 2025
Type: article
Study design: Systematic Review
Abstract: The healthcare sector consistently produces a large volume of data. Sources such as patient's medical history, EHRs, clinical trials, billing, wearables, social media, internet, and research provide useful data that can assist healthcare providers in gaining better insight about patient population as well as improving the patient outcomes and experience. Health data integration, the process of merging data from various sources creates opportunities for greater data intelligence. Data integration methods vary based on the quality, quantity, and capabilities of the integrating service and the needs of current and prospective users. The purpose of this literature review is to understand the state of academic research pertaining to data intelligence and data integration in healthcare. The paper explores the use of data intelligence on healthcare, focusing on the integration of artificial intelligence, machine learning, and other tools to create a unified and extensive healthcare data ecosystem. A systematic literature review was conducted to examine the data intelligence and integration in the healthcare sector. We identify main themes from the literature review as well as explore the research gaps and opportunities.
Source: Open Access Journal of Science
Authors: Mahalakshmi Nathan, Dasantila Sherifi
Institution: Rutgers, The State University of New Jersey
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7129554286