Medical services are one of the most potential applications for the Internet of Things. In the medical Internet of Things, “things” include doctors, patients, health-conscious people, medical devices, medicines, etc.; “net” is the workflow of medical and health management; “link” means medical-related through information interaction. The “things” are woven into a process of intelligent medical “networks”.

The transformation of the Internet of Things to the medical care is mainly reflected in the following aspects:

1. Mobile medical /remote monitoring platform

The remote monitoring platform can automatically collect multiple vital signs data, automatically upload the data to the hospital control center, analyze the data in real time and provide early warning, and provide remote medical services by doctors. With a variety of portable devices, data collection is not limited by time and location.

Look closely at the application trend of Internet of Things technology in telemedicine

The remote monitoring system can monitor heart function, urination, blood pressure, blood sugar, sleep and other diseases, and has high value in the heart function real-time monitoring system and sleep monitoring system.

For example, to make up for the shortcomings of traditional medical treatment, the remote wireless sleep monitoring system can detect the signs of the patient's sleep in real time in the patient's home, and send the data to the mobile phone via Bluetooth, and then transmit the data to the hospital control center through the wireless network. The system automatically notifies the doctor when a symptom of sleep apnea is detected. Then, the doctor remotely controls the height and elevation of the adjustable pillow in the patient's home through the network, changes the patient's sleep posture, and finally restores the patient's spontaneous breathing. The adjustable pillow has a good effect on patients with mild OSAS, and the patient is at home. High quality treatment is available.

According to IDC data, in 2015, China's online medical service market exceeded RMB 4.2 billion and is expected to reach RMB 12.5 billion in 2017. From the perspective of income composition, mobile medical growth is relatively fast, with a compound annual growth rate of more than 70%, far exceeding the average growth rate of the industry of about 40%.

Look closely at the application trend of Internet of Things technology in telemedicine

2, medical equipment management

With the advancement of technology, modern medical services are increasingly dependent on advanced medical equipment. Scientifically and rationally purchase, use and maintain a large number of medical equipment, effectively plan and manage various medical resources, improve the diagnosis rate and cure rate of diseases, improve the operational efficiency of hospitals, reduce operating costs, and improve the social benefits of medical services. Economic benefits play an important role.

At this stage, the management of medical equipment is mainly manually recorded and configured by means of paper documents. The main drawback is that it is impossible to track the usage of the device in real time, the positioning is difficult, and because the manual recording device status program is very cumbersome, it is very error-prone and causes data inconsistency.

In addition, paper documents do not allow managers to easily view the history of the use of medical devices, making it difficult to find unused devices, causing idle devices to be dispatched to where they are needed, resulting in lower device utilization. Speed, which adds barcode or RFID identification to each device, but this method requires a handheld or fixed reading device that is limited by the capabilities of the reading device and still does not track the position of the device in real time.

The use of sensing devices can make up for the deficiencies of existing equipment management methods. The wireless power sensor can detect the electrical load of the device and the surrounding wireless signal strength, and upload the data to the hospital data center through the wireless sensor gateway. Then, based on the uploaded data, the data center can use the indoor positioning and machine learning technology to calculate the location and usage of the device, thereby providing cloud services for the user, including performing user query and generating statistical analysis reports of all device usage. Features.

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Medton Medical , https://www.medtonmedical.com