Kim Sung-Woo, Won Young-Jun, Chae Dong-Sik, Chang Hyuk-Jae
Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:3486-3489. doi: 10.1109/EMBC.2019.8857094.
While the clinical design of a Fracture Liaison Service(FLS) has been used as a localized healthcare service in a previous study, thus far there has not been an international mobile application, such as a FLS using smart phones. In addition, we developed a safety monitoring system using IoT sensor for a smart wheelchair. Our FLS is able to give patient various fall-related predictions with a safety monitoring system on this mobile application. The goal of our study is to improve the prevention of secondary fractures from our FLS application. We have developed a Fracture Liaison Service as an Android-OS application and released this service as a secondary fracture prevention program for osteoporotic fracture patients. We have released the final version of the FLS mobile application in Google's PlayStore. The new model of the FLS mobile application can be practically commercialized, and the effective second-order fracture prevention system is based on an open policy platform. We hope to contribute to the prevention and management of osteoporotic fractures and osteoporosis worldwide via this FLS mobile application. In the future, an intelligent personal FLS is definitely possible, by applying a Medical AI based on a huge DB.
虽然骨折联络服务（FLS）的临床设计在先前的研究中已被用作本地化医疗服务，但迄今为止，还没有国际移动应用程序，例如使用智能手机的FLS。此外，我们为智能轮椅开发了一种使用物联网传感器的安全监测系统。我们的FLS能够通过此移动应用程序上的安全监测系统为患者提供各种与跌倒相关的预测。我们研究的目标是通过我们的FLS应用程序改善继发性骨折的预防。我们已将骨折联络服务开发为安卓操作系统应用程序，并将此服务作为骨质疏松性骨折患者的继发性骨折预防计划发布。我们已在谷歌Play商店发布了FLS移动应用程序的最终版本。FLS移动应用程序的新模式可以实际商业化，有效的二级骨折预防系统基于开放政策平台。我们希望通过此FLS移动应用程序为全球骨质疏松性骨折和骨质疏松症的预防与管理做出贡献。未来，通过应用基于庞大数据库的医学人工智能，智能个人FLS肯定是可行的。
