@Article{信息:doi 10.2196 / / jmir。1881年，作者=“Sugawara, Tamie和Ohkusa, Yasushi和Ibuka, Yoko和Kawanohara, Hirokazu和Taniguchi, Kiyosu和Okabe, Nobuhiko”，标题=“实时处方监测及其在日本季节性流感活动监测中的应用”，期刊=“J Med Internet Res”，年=“2012”，月=“Jan”，日=“16”，卷=“14”，数=“1”，页=“e14”，关键词=“监测;流感;实时监测;处方;药房;抗流感病毒;自动监测;背景:实时监测是有效控制疾病暴发的基础，但日本的官方哨点监测仅每周收集与疾病活动有关的信息，并以一周的滞后时间更新信息。目的:报告日本于2008年开始使用与处方药相关的电子记录的处方监测系统，并评估该监测系统在2009- 2010年和2010- 2011年流感季节监测流感活动的情况。 Methods: We developed an automatic surveillance system using electronic records of prescription drug purchases collected from 5275 pharmacies through the application service provider's medical claims service. We then applied the system to monitoring influenza activity during the 2009--2010 and 2010--2011 influenza seasons. The surveillance system collected information related to drugs and patients directly and automatically from the electronic prescription record system, and estimated the number of influenza cases based on the number of prescriptions of anti-influenza virus medication. Then it shared the information related to influenza activity through the Internet with the public on a daily basis. Results: During the 2009--2010 influenza season, the number of influenza patients estimated by the prescription surveillance system between the 28th week of 2009 and the 12th week of 2010 was 9,234,289. In the 2010--2011 influenza season, the number of influenza patients between the 36th week of 2010 and the 12th week of 2011 was 7,153,437. The estimated number of influenza cases was highly correlated with that predicted by the official sentinel surveillance (r = .992, P < .001 for 2009--2010; r = .972, P < .001 for 2010--2011), indicating that the prescription surveillance system produced a good approximation of activity patterns. Conclusions: Our prescription surveillance system presents great potential for monitoring influenza activity and for providing early detection of infectious disease outbreaks. ", issn="1438-8871", doi="10.2196/jmir.1881", url="//www.mybigtv.com/2012/1/e14/", url="https://doi.org/10.2196/jmir.1881", url="http://www.ncbi.nlm.nih.gov/pubmed/22249906" }