英文摘要 |
As the approaching of aging society, countries around the world pay more attention on the issues about Patient Safety. No matter in Taiwan or other countries, they work very hard attempting to effectively overcome on the issues. According to many researches in elderly accidents in hospital in Taiwan or other countries, falling accidents happen very often and usually cause serious injure. It not only threatens elderly safety but also increases social medical cost. According to the study, the major falling accidents happen with alone and the place without other people. However, Preventing from falling accidents is often costly and medical personnel consuming. It is difficulty to support from the National Health Insurance System because the financial affairs of National Health Insurance System become worse. Through the investigation from literatures and present communication and information technologies, in this research we attempt to integrate MapCam to monitor the image and process the analysis from the image collected, RFID to identify the patient identify and potential position regarding the elderly fall, and the support of the information of patient's falling tendency through the advanced evaluation to build a system to monitor and prevent falling accidents. We hope through the support of this system the medical and healthcare industry may have a feasible solution to build an automatic falling detection system as well as may enhance patient safety and the quality of medical care. |