利用手机短信开发大规模伤亡事件人员召回系统。
Development of a staff recall system for mass casualty incidents using cell phone text messaging.
机构信息
Department of Anesthesiology, Thomas Jefferson University Hospital, 111 S. 11th St., Suite 5480G, Philadelphia, PA 19107, USA.
出版信息
Anesth Analg. 2010 Mar 1;110(3):871-8. doi: 10.1213/ANE.0b013e3181cb3f9e.
BACKGROUND
After a mass casualty incident (MCI), rapid mobilization of hospital personnel is required because of an expected surge of victims. Risk assessment of our department's manual phone tree recall system revealed multiple weaknesses that would limit an effective response. Because cell phone use is widespread within the department, we developed and tested a staff recall system, based in our anesthesia information management system (AIMS), using Short Message Service (SMS) text messaging.
METHODS
We sent test text messages to anesthesia staff members' cell phone numbers, determined the distance from their home to the hospital, and stored this information in our AIMS. Latency testing for the time from transmission of SMS test messages from the server to return of an e-mail reply was determined at 2 different times on 2 different dates, 1 of which was a busy holiday weekend, using volunteers within the department. Two unannounced simulated disaster recall drills were conducted, with text messages sent asking for the anticipated time to return to the hospital. A timeline of available staff on site was determined. Reasons for failure to respond to the disaster notification message were tabulated.
RESULTS
Latency data were fit by a log-normal distribution with an average of 82 seconds from message transmission to e-mail reply. Replies to the simulated disaster alert were received from approximately 50% of staff, with 16 projecting that they would have been able to be back at the hospital within 30 minutes on both dates. There would have been 21 and 23 staff in-house at 30 minutes, and 32 and 37 staff in-house at 60 minutes on the first and second test date, respectively, including in-house staff. Of the nonresponders to the alert, 48% indicated that their cell phone was not with them or was turned off, whereas 22% missed the message.
CONCLUSIONS
Our SMS staff recall system is likely to be able to rapidly mobilize sufficient numbers of anesthesia personnel in response to an MCI, but actual performance cannot be predicted with confidence. Using our AIMS as the source for contact information and from which to send messages was simple, inexpensive, and easy to implement. Updating contact information, periodic testing, and analysis of responses to simulated disaster alerts are essential for the effective functioning of such a system. However, maintenance of alternative methods of communication is recommended, because there may be more significant message transmission delays and failures during an actual MCI, and not all staff will receive the text message in a timely fashion.
背景
在发生大规模人员伤亡事件(MCI)后,由于预计会有大量受害者涌入,需要迅速调动医院人员。对我们部门手动电话树召回系统的风险评估显示出多个弱点,这将限制有效的响应。由于部门内广泛使用手机,我们在麻醉信息管理系统(AIMS)的基础上开发并测试了一种基于短信服务(SMS)文本消息的员工召回系统。
方法
我们向麻醉科员工的手机号码发送测试短信,确定他们从家到医院的距离,并将此信息存储在我们的 AIMS 中。我们在两个不同的日期的两个不同时间使用部门内的志愿者来确定从服务器发送 SMS 测试消息到返回电子邮件回复的时间延迟测试,得出的潜伏期数据符合对数正态分布,从消息传输到电子邮件回复的平均时间为 82 秒。我们发送模拟灾难警报的短信,询问预计返回医院的时间。确定现场可用人员的时间表。记录未响应灾难通知消息的原因。
结果
回复模拟灾难警报的时间延迟数据符合对数正态分布,从消息传输到电子邮件回复的平均时间为 82 秒。在两个日期,约有 50%的员工回复了模拟灾难警报,其中 16 人表示他们能够在 30 分钟内回到医院。在第一个测试日,30 分钟内有 21 名和 23 名员工在医院内,60 分钟内有 32 名和 37 名员工在医院内,包括院内员工。在没有回复警报的人中,48%的人表示他们的手机不在身边或已关机,而 22%的人错过了消息。
结论
我们的 SMS 员工召回系统可能能够迅速调动足够数量的麻醉人员来应对 MCI,但不能有信心地预测实际性能。使用我们的 AIMS 作为联系信息的来源并从中发送消息既简单、廉价又易于实施。更新联系信息、定期测试和分析对模拟灾难警报的响应是此类系统有效运行的关键。然而,建议维护其他通信方式,因为在实际的 MCI 中可能会有更严重的消息传输延迟和故障,并且并非所有员工都能及时收到短信。