Application of Big Data to Support Evidence-Based Public Health Policy Decision-Making for Hearing.

ABSTRACT: Ideally, public health policies are formulated from scientific data; however, policy-specific data are often unavailable. Big data can generate ecologically-valid, high-quality scientific evidence, and therefore has the potential to change how public health policies are formulated. Here, we discuss the use of big data for developing evidence-based hearing health policies, using data collected and analyzed with a research prototype of a data repository known as EVOTION (EVidence-based management of hearing impairments: public health pOlicy-making based on fusing big data analytics and simulaTION), to illustrate our points. Data in the repository consist of audiometric clinical data, prospective real-world data collected from hearing aids and an app, and responses to questionnaires collected

SUBMITTER: Saunders GH 

PROVIDER: S-EPMC7676484 | biostudies-literature | 2020 Sep/Oct

REPOSITORIES: biostudies-literature