Pennington Jeffrey W, Ruth Byron, Miller Jeffrey M, Peterson Joy, Xu Baichen, Masino Aaron J, Krantz Ian, Manganella Juliana, Gomes Tamar, Stiles Derek, Kenna Margaret, Hood Linda J, Germiller John, Crenshaw E Bryan
Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Center for Childhood Communication, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.
Ear Hear. 2020 Mar/Apr;41(2):231-238. doi: 10.1097/AUD.0000000000000779.
The use of "big data" for pediatric hearing research requires new approaches to both data collection and research methods. The widespread deployment of electronic health record systems creates new opportunities and corresponding challenges in the secondary use of large volumes of audiological and medical data. Opportunities include cost-effective hypothesis generation, rapid cohort expansion for rare conditions, and observational studies based on sample sizes in the thousands to tens of thousands. Challenges include finding and forming appropriately skilled teams, access to data, data quality assessment, and engagement with a research community new to big data. The authors share their experience and perspective on the work required to build and validate a pediatric hearing research database that integrates clinical data for over 185,000 patients from the electronic health record systems of three major academic medical centers.
将“大数据”用于儿科听力研究需要在数据收集和研究方法两方面采用新方法。电子健康记录系统的广泛应用在大量听力学和医学数据的二次利用方面带来了新机遇和相应挑战。机遇包括经济高效的假设生成、针对罕见病症的快速队列扩展以及基于数千至数万样本量的观察性研究。挑战包括组建并形成具备适当技能的团队、获取数据、数据质量评估以及与大数据领域的新研究群体开展合作。作者分享了他们在构建和验证一个儿科听力研究数据库方面的经验和观点,该数据库整合了来自三大主要学术医疗中心电子健康记录系统的超过185,000名患者的临床数据。