1. Harnessing real-world evidence to reduce the burden of noncommunicable disease: health information technology and innovation to generate insights
- Author
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Joseph S. Imperato, Amrit Ray, Jon Edwards, Jim Z. Li, Lobna A. Salem, and Kelly H. Zou
- Subjects
medicine.medical_specialty ,Standardization ,Health information technology ,Public policy ,Population health ,Article ,Data science ,Health administration ,03 medical and health sciences ,0302 clinical medicine ,medicine ,030212 general & internal medicine ,Disease burden ,Real-world evidence ,Poverty ,030503 health policy & services ,Health Policy ,Public health ,Public Health, Environmental and Occupational Health ,Noncommunicable disease ,Real-world data ,Risk factors ,Risk analysis (engineering) ,Business ,0305 other medical science - Abstract
Noncommunicable diseases (NCDs) are the leading causes of mortality and morbidity across the world and factors influencing global poverty and slowing economic development. We summarize how the potential power of real-world data (RWD) and real-world evidence (RWE) can be harnessed to help address the disease burden of NCDs at global, national, regional and local levels. RWE is essential to understand the epidemiology of NCDs, quantify NCD burdens, assist with the early detection of vulnerable populations at high risk of NCDs by identifying the most influential risk factors, and evaluate the effectiveness and cost-benefits of treatments, programs, and public policies for NCDs. To realize the potential power of RWD and RWE, challenges related to data integration, access, interoperability, standardization of analytical methods, quality control, security, privacy protection, and ethical standards for data use must be addressed. Finally, partnerships between academic centers, governments, pharmaceutical companies, and other stakeholders aimed at improving the utilization of RWE can have a substantial beneficial impact in preventing and managing NCDs.
- Published
- 2020