Benefits and barriers to electronic laboratory results reporting for notifiable diseases: the New York City Department of Health and Mental Hygiene experience.
Benefits and barriers to electronic laboratory results reporting for notifiable diseases: the New York City Department of Health and Mental Hygiene experience.
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DOI：
10.2105/ajph.2006.098996
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发表时间：
2007-04-01
影响因子：
12.7
通讯作者：
Mostashari, Farzad
中科院分区：
文献类型：
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作者：
Nguyen, Trang Quyen;Thorpe, Lorna;Mostashari, Farzad
目标：尽管国家支持实验室电子报告(ELR)，但从纸质报告向电子报告的过渡在国家和地方都是缓慢的。我们评估了纽约市监测项目的ELR经验，以找出实施ELR的障碍和关于自动化电子报告疾病监测的一般性教训。方法：我们对纽约市卫生和精神卫生部门的主要工作人员进行了访谈，以评估ELR的实施情况。对纸质报告和ELR疾病报告进行比较。结果：ELR报告的完整性和及时性与纸质报告相似，有时甚至更好。将电子数据纳入监控数据库造成了新的数据质量问题，转移了工作需求，并需要更多的数据监控技能。ELR改进了对大容量和时间敏感疾病的处理，但并未完全自动化需要工作人员进行复杂评估的疾病的报告。结论：尽管ELR简化了数据处理，但电子报告有其自身的局限性。通过了解ELR对不同疾病类型的优势和局限性，可以实现ELR的更成功使用。
OBJECTIVES: Despite national support for electronic laboratory reporting (ELR), the transition from paper to electronic reporting has been slow both nationally and locally. We assessed the ELR experience of New York City's surveillance programs to identify barriers to ELR implementation and generalizable lessons about automated electronic notifiable disease surveillance.METHODS: We conducted interviews with key staff of the New York City Department of Health and Mental Hygiene to evaluate ELR implementation. A review of paper and ELR disease reports enabled a comparison of the reporting systems.RESULTS: The completeness and timeliness of ELR were similar to, and sometimes better than, paper reporting for certain diseases. Incorporating electronic data into surveillance databases created new problems with data quality, shifted work demands, and required additional skills for data monitoring. ELR improved the handling of high-volume and time-sensitive diseases but did not completely automate reporting for diseases that required complicated assessments by staff.CONCLUSIONS: Although ELR streamlines data processing, electronic reporting has its own limitations. A more successful use of ELR can be achieved by understanding its strengths and limitations for different disease types.