Remote intelligent family medical insurance method
A smart home and medical insurance technology, applied in medical science, sensors, surgery, etc., can solve problems such as single deployment form, one-sided monitoring scope, and unscientific enough to achieve scientific business processes, accurate diagnosis, and avoid hardware failures.
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Embodiment 1
[0064] 1. Sensor installation
[0065] Deploy wireless sensors for healthcare expert systems throughout the room where the patient is and on the patient.
[0066] Sensors are integrated into temperature / humidity sensors, wind direction / wind speed sensors, body temperature / heartbeat sensors, motion displacement / speed / height sensors, noise sensors, and image sensors due to the similar nature of their work.
[0067] Through the data collector, the terminal transmits the data to the central context management server deployed in the hospital via the operator network. With the help of the service platform provided by the operator, the receiving personnel can remotely track the received data in real time.
[0068] There are two ways to set up the sensor: target area set up and patient set up.
[0069] (1) Target area erection
[0070] Install temperature / humidity sensors, image sensors, etc. on the ceiling, walls, and windows of the patient area, and install wind direction / wind sp...
Embodiment 2
[0103] Embodiment 2: Data processing.
[0104] like Figure 7 As shown, a patient with high blood pressure, heart disease or other serious diseases lives in his own home, and he needs immediate monitoring services to ensure that he will not die suddenly when he is alone at home. It is planned to deploy various smart wireless sensor devices responsible for monitoring in his home, that is, his home has become a target monitoring area, as shown in the "Home Physical Environment" module in the core processing workflow diagram. The following intelligent expert medical insurance system will automatically enter the workflow 1-physical data collection step: the patient's location determination technology at home can be extended to the monitored person's location acquisition scheme in other environments (such as RFID technology). For example, when a patient walks into a room, the sensor in the room "knows" that the patient has entered the monitoring area by obtaining the information o...
Embodiment 3
[0105] Example 3: Health measures and monitoring
[0106] A heart patient stays at home alone. The temperature / humidity sensor deployed at home finds that the temperature inside the house has reached 26°C, and the relative humidity has reached 70%. The wind speed sensor detects a wind speed of 1.2 m / s (level 1 wind), and the wind direction is southerly. At the same time, the body temperature / heartbeat sensor on the patient felt that the patient's heartbeat (100 beats / min) was significantly higher than the normal value, and the body temperature was 36.8°C. The displacement / speed / height sensor detects that the patient is still at home, the speed is 0, and the height is 0.8 meters (the patient is sitting on the sofa).
[0107] Through the data fed back by the above sensors, the central context management server finds that the ambient temperature and humidity of the patient are too high, which is not conducive to his condition. At the same time, the patient's heartbeat is abnorma...
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