Our company creates software with machine learning support for IoT devices, with the help of qualified analysis of large amounts of information, namely medical records, helps improve patient treatment; it also helps the administrations of medical institutions improve patient care. Thus, medical and pharmaceutical companies can use machine learning analytics to optimize clinical trials and decision-making processes instead of manual efforts when there is a high probability of human error.
Our company boosts the efficiency and quality of services provided by healthcare organizations by simplifying the operational processes of hospitals for medical staff, and the use of new technologies that increase the level of effective administration by medical institutions. Solutions provided by our company simplify and improve inventory management in hospitals using RFID tags and BLE beacons; we also integrate solutions such as temperature, humidity control, and medical wearables.
Our company uses cloud technologies to integrate processing power from IoT devices, optimizing data flows from many devices and linking them to a single system. Additionally, the proposed software solution is integrated into an existing medical IoT device.
Our company develops IoT Healthcare software solutions on blockchain to secure massive volumes of data, such as medical records, patient-to-medical-institute transfers, and financial transactions. As a result, the information is better categorized and safeguarded. After this data is given to healthcare institutions, it is up to these companies to keep it safe from outsiders, which is why it is vital to have the best possible protection against data leaks and cyber-attacks.
Our company designs software that collects and analyzes patient health data; the system can provide a detailed and straightforward visualization of information data, giving a deep understanding of the patient's health status, which is very important in the field of medicine. Healthcare organizations should receive understandable and necessary analytics for further in-depth analysis by doctors by making reasonable decisions. Also, glucose meters and handcuffs for measuring blood pressure in the hospital can now be IoT solutions, improving the interaction of devices with patients.
Our company develops software capable of collecting the necessary data from medical IoT devices. Tracking the general state of the patient's health, and tracking specific vital parameters of a person can improve and help identify tendencies to the deterioration of the patient's health by getting a deeper picture from AI.
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 requirements, or we can also 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.
Schedule a call to get a free consultation with our specialist.
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.