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  • 标题:An Algorithm for Building an Electronic Database
  • 本地全文:下载
  • 作者:Wess A. Cohen ; Lloyd B. Gayle ; Nima P. Patel
  • 期刊名称:ePlasty: Open Access Journal of Plastic and Reconstructive Surgery
  • 印刷版ISSN:1937-5719
  • 出版年度:2016
  • 卷号:16
  • 语种:English
  • 出版社:Open Science Co. LLC
  • 摘要:Objective:We propose an algorithm on how to create a prospectively maintained database, which can then be used to analyze prospective data in a retrospective fashion. Our algorithm provides future researchers a road map on how to set up, maintain, and use an electronic database to improve evidence-based care and future clinical outcomes.Methods:The database was created using Microsoft Access and included demographic information, socioeconomic information, and intraoperative and postoperative details via standardized drop-down menus. A printed out form from the Microsoft Access template was given to each surgeon to be completed after each case and a member of the health care team then entered the case information into the database.Results:By utilizing straightforward, HIPAA-compliant data input fields, we permitted data collection and transcription to be easy and efficient. Collecting a wide variety of data allowed us the freedom to evolve our clinical interests, while the platform also permitted new categories to be added at will.Conclusion:We have proposed a reproducible method for institutions to create a database, which will then allow senior and junior surgeons to analyze their outcomes and compare them with others in an effort to improve patient care and outcomes. This is a cost-efficient way to create and maintain a database without additional software.
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