Remote monitoring of patient health with embedded AI is useful:
Posted: Wed Jan 22, 2025 8:19 am
We form a precise request in English, send it to the chat and receive a correct, specific and convincing text, which even from the point of view of legal formulations turns out to be correct. Of course, it is important to learn how to clearly set the technical task, but this is a skill that can be mastered.
AI does a great job and takes most of the routine tasks jordan telegram database off our hands so that we can focus on business development and processes where human attention is important.
Matvey Vasenin, IT Director of the telemedicine service "Doctis"
We use AI to create and develop products for remote patient health monitoring.
How it works. Patients with serious chronic diseases: cardiovascular, oncological, etc. need constant monitoring of their condition. The doctor prescribes remote monitoring to the patient, which is carried out using robotic communication systems and wearable medical gadgets: a tonometer, a glucometer, and others.
The gadgets take patient readings, such as glucose levels or blood pressure, and send them to a system that uses AI to process and evaluate the data on a special scoring scale.
The doctor sees all the data on his monitor in real time, but the system itself focuses his attention on what is critical right now. For example, if the patient has experienced a sharp deterioration.
The doctor can quickly react to negative dynamics and prescribe an urgent consultation or even hospitalization. If the patient is doing well, the system simply displays his data, and the doctor can also study it on a planned basis.
for the patient - this way he feels protected and is less nervous;
for a doctor — the system helps to simultaneously monitor all of your patients remotely. The function is especially relevant for populated areas where there are often no needed doctors.
for clinic managers, as they can control the workload of doctors and approaches to treatment.
The system has already been implemented for pregnant women, who, together with doctors, can monitor the condition of the fetus using fetal monitors in order to respond to any deviations in a timely manner. Here, AI digitizes and deciphers fetal heartbeat data, which comes in the form of numbers and is sorted into “baskets”: “requires urgent attention,” “requires observation,” and “everything is fine.”
AI does a great job and takes most of the routine tasks jordan telegram database off our hands so that we can focus on business development and processes where human attention is important.
Matvey Vasenin, IT Director of the telemedicine service "Doctis"
We use AI to create and develop products for remote patient health monitoring.
How it works. Patients with serious chronic diseases: cardiovascular, oncological, etc. need constant monitoring of their condition. The doctor prescribes remote monitoring to the patient, which is carried out using robotic communication systems and wearable medical gadgets: a tonometer, a glucometer, and others.
The gadgets take patient readings, such as glucose levels or blood pressure, and send them to a system that uses AI to process and evaluate the data on a special scoring scale.
The doctor sees all the data on his monitor in real time, but the system itself focuses his attention on what is critical right now. For example, if the patient has experienced a sharp deterioration.
The doctor can quickly react to negative dynamics and prescribe an urgent consultation or even hospitalization. If the patient is doing well, the system simply displays his data, and the doctor can also study it on a planned basis.
for the patient - this way he feels protected and is less nervous;
for a doctor — the system helps to simultaneously monitor all of your patients remotely. The function is especially relevant for populated areas where there are often no needed doctors.
for clinic managers, as they can control the workload of doctors and approaches to treatment.
The system has already been implemented for pregnant women, who, together with doctors, can monitor the condition of the fetus using fetal monitors in order to respond to any deviations in a timely manner. Here, AI digitizes and deciphers fetal heartbeat data, which comes in the form of numbers and is sorted into “baskets”: “requires urgent attention,” “requires observation,” and “everything is fine.”