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首页> 外文期刊>BMC Medical Informatics and Decision Making >Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology
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Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology

机译：改编基于网络的开源电子病历系统平台，以支持大规模的结核病流行病学研究

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Background In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched. Results Data collection in the OpenMRS system began in September 2009. By August 2011 a total of 9,256 participants had been enrolled, 102,274 forms and 13,829 laboratory results had been entered, and there were 208 users. The system is now entirely supported by the Peruvian study staff and programmers. Conclusions The information system served the study objectives well despite requiring some significant adaptations mid-stream. OpenMRS has more tools and capabilities than it did in 2008, and requires less adaptations for future projects. OpenMRS can be an effective research data system in resource poor environments, especially for organizations using or considering it for clinical care as well as research.
机译：背景资料2006年，我们得到了美国国立卫生研究院的资助，在秘鲁开展了一项结核病流行病学研究。这项研究需要一个安全的信息系统来管理来自16,000名需要至少追踪1年的受试者的目标目标的数据。凭借在秘鲁开发和部署基于Web的结核病治疗医疗记录系统的经验，我们选择使用OpenMRS开源电子病历系统平台来开发研究信息系统。在核心技术和管理团队以及庞大且不断发展的全球社区的支持下，OpenMRS现在已在40多个发展中国家中使用。我们调整了OpenMRS平台以更好地支持外语。我们添加了一个新模块，以支持双重数据输入，与现有实验室信息系统的链接，从手持设备自动上传GPS数据以及更好的安全性和数据更改审核。我们为研究经理添加了新报告，并为研究人员和统计学家开发了数据提取工具。研究启动后，发生了进一步的调整以处理直接输入的实验室数据。结果OpenMRS系统的数据收集于2009年9月开始。到2011年8月，共有9256名参与者参加，102,274张表格和13,829条实验室结果已输入，并且有208位用户。现在，该系统完全由秘鲁研究人员和程序员支持。结论尽管中途需要一些重大调整，但该信息系统仍很好地满足了研究目标。与2008年相比，OpenMRS具有更多的工具和功能，并且对未来项目的适应性更强。 OpenMRS可以在资源匮乏的环境中成为有效的研究数据系统，特别是对于使用或考虑将其用于临床护理和研究的组织。

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