MedRed:用于研究目的的医疗保健数据采集服务

J. Calbimonte, Fabien Dubosson, R. Hilfiker, Alexandre Cotting, M. Schumacher
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引用次数: 0

摘要

医疗保健领域的研究需要收集重要且详尽的数据集,以验证科学假设,或评估治疗、技术、药物或程序的有效性。这类工作的数据采集阶段通常需要低估的时间和精力,同时需要为整个过程保持高质量的标准。与数据采集相关的许多任务通常是手动执行的,这导致产生可用数据集的过程容易出错、手工转录、不准确和时间延迟。本文介绍了MedRed(医学研究数据采集平台),这是一个接口和服务,旨在促进医疗保健领域研究人员的数据采集过程,并使用REDCap软件进行数据采集。这项服务首先提供给瑞士西部应用科学与艺术大学(HES-SO)学校的所有科学家,并由瑞士大学的cu - p2计划提供部分支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MedRed: A healthcare data acquisition service for research purposes
Research in the healthcare domain requires the collection of important and exhaustive datasets in order to validate a scientific hypothesis, or to assess the effectiveness of a treatment, technology, medicine, or procedure. The data acquisition phase for this type of work requires an often under-estimated amount of time and effort, while needing to maintain high quality standards for the entire process. Many of the tasks associated with data acquisition are often carried out manually, resulting in error-prone procedures, hand-transcription, inaccuracy, and time delays to produce a usable dataset. This paper presents MedRed (medical research data acquisition platform), an interface  and a service designed to facilitate the data acquisition process for researchers in the healthcare domain, and using REDCap software for data capture. This service is available first of all to all scientists at the HES-SO (University of Applied Sciences and Arts Western Switzerland) schools in Switzerland, and is partially supported by the Swiss universities’ CUS-P2 programme.
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