Abstract:

The development of computer technology shows the impact on all aspects of human activity. One of the most intensively developing areas using modern information and computer technologies is medical- and healthcare.

The main part of the medical equipment is computer-based, and the activity in the direction of computerization of medical activities is a main priority.
The use of smart technology in healthcare has been advancing steadily over the past several years, putting devices like smart insulin pens, connected inhalers, asthma monitors, and more in the hands of everyday consumers and allowing them to better manage and address their own health needs – as well as to quickly access help in case of a medical emergency. Wearable devices like biosensors can also allow healthcare professionals to remotely monitor ongoing conditions and gather data, allowing observation and treatment that was previously only possible in an institutional setting to take place anywhere.

With digital health on a smart device, one can expect health indications to become more real-time. The whole of the healthcare and medical care field is somewhat research, but it cannot be complete without users in the loop. Nowadays, many people wear smart devices, so the medical staff can collect data to identify the possible reason for their impaired health.

Major advances in miniaturization and computing power are driving innovation leading to the development of an increasing number of connected medical devices that are able to generate, collect, analyze and transmit data.

The research is focused on presenting a methodology of medical staff' the training referred to systems that collect information from smart devices. The key points are ways to identify the most important information and how this quantity of information can save human life; an assessment of knowledge of medical staff about new technologies such as IoT(The Internet of Things is a network of physical devices and other items, embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data) The purpose of the research is to identify IoT devices that can provide additional information about the patient's condition. This includes data on the environment - temperature, humidity; data on the human body - heart rate, temperature, blood sugar, etc.

This article may be a start point for developing a course for the needs of training the medical staff using innovative technologies to "read" patients' physical indicators.

Keywords:

Medicine, data, devices, innovation, training, staff, smart.