Our company designs wearable wireless medical device solutions for sickness prevention, patient health maintenance, and data collecting for early detection and treatment of illnesses impacting the older population. Machine learning may also be used to monitor a patient's mental health; devices can evaluate the level of stress and other indicators needed to detect psychological diseases.
Our company develops software for smart wearable medical devices, including monitoring and notification features for continuous real-time health monitoring. Physical activity, posture, and heart rate sensors are automatically analyzed and alert the medical staff or attending physician to any potential health concerns with the patient. This feature is particularly useful in the case of dementia and Parkinson's disease.
Our company builds medical apps for wearable technologies that allow for continuous monitoring of health metrics. This function aids in tracking general health in everyday life, giving data for illness identification and prevention. A large amount of data allows us to use AI to evaluate it and deliver it to physicians as visible data.
Our company develops software for medical wearable devices that can track a patient's physical activity, such as steps taken, distance, amount and intensity of exercises performed, and calories consumed, to maintain weight control and, if necessary, remind patients with real-time alerts that it's time to exercise or take a walk. Heart rate sensors can also be used to measure critical differences in heart rate, allowing the device to notify the patient when it's time to stop exercising.
Our company develops applications for wearable medical devices that, using various sensors of health parameters, determine in real time whether any factor threatens the patient's health and whether he needs emergency medical care. Also, wearable medical devices perform well in the care of chronic patients, as they can track necessary individual parameters of the patient's health.
Our company builds software and mobile apps for collecting data from wearable devices. Artificial intelligence can assist find patterns and sending important signals about imminent health risks by tracking general health and specific vital measures. Regular health monitoring is required for diseases such as heart disease, blood sickness, diabetes, Parkinson's disease, autism, and depression.
US- Tier 1 NIST Cybersecurity Framework(FDA)
The cybersecurity framework recommendations from the National Institute of Standards and Technology provide strategies that assist firms in implementing long-term security processes. This saves money and time when compared to conventional crisis-response security systems. It's not about rushing to catch up only to fall two steps behind when it comes to security threats. Instead, you may use NIST's cybersecurity architecture to reduce risks now and in the future.
Identify individuals and devices, prohibit undesired elements from gaining access to the security system, and validate and authenticate security-critical commands.
By maintaining the code and supplying trustworthy content, you can ensure the secrecy and integrity of the execution.
The device must be capable of quickly detecting cybersecurity risks.
The device must respond to a potential cyber threat and mitigate any possible effects.
The device should be able to restore functionality and other critical operational procedures that have been disrupted as a consequence of a cyber assault.
The user must be at the focus of security design.
The device must have a secure connection from the device to the database and physical access control to the database.
There are no privacy problems if the data is transmitted without the patient's ID. All that's left is to match the code to the patient's name in the database.
EU - MDR required practices
Providing you with all of the capabilities and features you require while assisting in creating of IoT solutions. Advisory services include: medical data analysis, mobile and web apps for medical professionals and patients, and other cutting-edge technological solutions.
We will help you choose protocols for connecting an IoT medical device that will be suitable for your device use case, taking into account the target coverage range and device types.
Our team will develop an interactive prototype with which you can guess what needs to be improved, and whether you are going in the right direction. Prototype will consist of a workable user interface and a server part with already installed connection protocols.
Agile development allows you to consistently supplement and implement new functions as needed in a medical IoT device. Also, testing at the development stages makes it possible to get the perfect medical IoT solution. As soon as we start a new project, we cover all possible difficulties at the development stages and the scope of the project to determine the required time to develop this solution.
We can develop data collection, processing, and visualization tools that meet your needs, or we can integrate third-party tools that are suitable in functionality for your requirements.
Cybersecurity in the healthcare sector is essential for developing any medical solutions. We will develop a solution for you in accordance with all international standards of cybersecurity.
We offer custom-fit consultancy service with the assistance of a senior technical leader, who handles the technology-driven challenges of
a project and deals with the engineering team. This way we ensure efficiency and eliminate possible risks, as well as give utter support in decision-making so that the success of your projects is inevitable.
Our custom healthcare software engineering company haas its own product for analysis and predictions on cancer and cardiovascular diseases: the modern era’s most dangerous ones. This tech uses dielectrophoresis and an AI-based algorithm to set up cell analysis and from there on make a prediction. Find out more about diagnosing cancer and cardiovascular diseases using dielectrophoresis.
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How have we successfully refined and improved an app for healthcare wearable technology? In this case study, we will explain how we improved the application for a wearable medical technology that uses cranial electrotherapeutic stimulation to relieve anxiety. So, what challenges did we encounter, what solutions did we propose, and what results did we achieve? CES works by sending a small electrical signal through a modified waveform that helps to alter brain oscillation patterns, such as alpha brain waves. This is done...
In modern society, it has become essential to monitor your physical health and your mental health, as it can affect your physical health. So we have developed a solution that meets all the necessary standards of the healthcare sector. Further functions explicitly designed for the treatment of mental health with the help of meditations and affirmations: the ability to track progress in percentage and quantitative values, convenient and well-developed management of the media player, the division of exercises into modules, a free model to attract more users.
This telemedicine application helps caregivers by facilitating their work in interaction, communication with other working groups. So, to be this done we started with the discovery phase that consisted of three stages: analysis, requirements, and design. It was important for us to create a solution that fully meets the needs of our client and the specifics of the healthcare industry. So we were able to make an easily scalable, reliable, and secure solution that meets all industry standards.
Medical wearable devices provide various ways to monitor the general health of patients as well as diagnostics of certain vital parameters. These devices can determine and confirm the effectiveness of treatment based on real-time physiological feedback.
With the help of wearable medical devices, it is possible to prevent, reduce or delay the exacerbation of certain diseases, especially chronic ones, since these types of patients require constant independent supervision in real-time. Symptoms of exacerbation can be detected earlier, as the necessary parameters of the patients’ health are constantly monitored, which is transmitted directly to doctors to improve the treatment and prevention of diseases.
The data from medical wearable devices is very important, as it allows you to track the health status of patients and individual important health parameters and then interpret this data for caregivers. The collected data makes it possible to improve treatment based on actual data.
Medical wearable solution systems collect a large amount of data on the state of health and other necessary parameters of the patient’s state. All of this data must be processed, and all of the results must be correctly interpreted for their further use and improvement of treatment by doctors. AI is engaged in the processing and correct interpretation of data; only AI with the help of machine learning can improve performance with each new patient.
The type of medical wearable device determines the frequency of use; for example, devices that you can wear on your wrist, such as a watch, do not interfere much with comfortable wearing, can be used constantly, and wearable devices using special glue are attached directly to the skin, which can cause irritation after some time has passed. Therefore, it is necessary to choose the optimal types of adhesives with an understanding of the duration and frequency of application.