Scientists from the Siberian State Medical University (SibSMU) have successfully developed a highly precise system for the rapid assessment of blood loss. This innovative technology is designed for crucial application in emergency vehicles and intensive care units. The findings of this significant research were recently unveiled at an International Scientific and Technical Conference held in Minsk.
In critical situations such as various accidents, road traffic incidents, or major natural disasters, the swift and accurate determination of a patient`s blood loss is paramount for saving lives and ensuring effective medical intervention.
Specialists at SibSMU highlight that while contemporary medical monitors offer real-time physiological data for patients, the reliability of blood loss assessment based on this information largely hinges on the individual experience and professional qualifications of the medical staff.
To overcome this challenge, the university`s experts created an advanced algorithm that automates the process of evaluating blood loss, thereby significantly reducing the potential for human error. This algorithm is foundational for building a sophisticated cyber-physical system intended to meticulously monitor patient conditions in both emergency medical transport and intensive care wards.
The core of this pioneering development involves the sophisticated modeling of hemorrhagic shock, utilizing a specially modified version of the Pulse Physiology Platform human physiology simulator.
According to the university`s researchers, a neural network is employed for data processing. This network meticulously analyzes key physiological indicators, including but not limited to arterial pressure, heart rate, oxygen saturation, and other critical parameters.
Gleb Vishtalyuk, a SibSMU student involved in the project, confirmed that the algorithm has undergone rigorous testing. He stated, «At the current stage, the algorithm has been tested, and the results have fully satisfied the specialists from the resuscitation and intensive care department.»
A comprehensive review of existing scientific literature revealed that, presently, no direct analogues of this advanced system exist in global medical practice, underscoring its unique and groundbreaking nature.
The proposed algorithm has demonstrated remarkable effectiveness, achieving an impressive 99% accuracy in identifying blood loss based on vital physiological indicators. For its training, the system leveraged an extensive database comprising over 21,840 distinct records of physiological parameters.
The next critical phase for the scientists involves the verification of the developed model using real-world patient data gathered from intensive care units. To facilitate this, a specialized resuscitation-anesthesiology information system has already been integrated into SibSMU clinics, enabling the systematic accumulation of patient data within intensive care wards.
This innovative project was conceived and brought to fruition under the auspices of the «Digital Medicine and Cyberphysics» scientific and technological center, which was established as part of the broader «Priority-2030» development program, aimed at fostering advanced research and development in Russia.
