Algorithm and Software System for Treatment Application of Platelet-Rich Plasma on Problematic Skin Wounds

Abstract

Recently a big interest arises to the automated diagnosis and digitalization of clinical data. The purpose of this article is to present treatment algorithm and software system for Problematic Skin Wounds (PSW) by using Platelet-Rich Plasma (PRP), based on the first study on platelet-rich plasma application carried out in Bulgaria. PSW-PRP-Project software system was developed for entering and processing medical data during PRP treatment, visualization of general patient information, treatment trend, as well as a module for training specialists through the created database. For a period of seven years around 100 patients have been treatment at the Department of Orthopaedics and Traumatology, UMBAL KANEV Ruse AD, by applying platelet-rich plasma. The algorithm for the use of platelet-rich plasma for treating problematic skin wounds allows for the proper and accurate treatment of patients with various problematic skin wounds with the purpose of solving the therapeutic problem and their complete recovery. The procedure’s course is determined based on assessment on three digital criteria TWS, TAS and TSWD. The algorithms are based on our results, obtained for the first in Bulgaria while treating problematic skin wounds by using platelet-rich plasma and successfully treating 92.78% of patients to full recovery.

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“…Automated systems involve a person (expert) in the processes of regulation and management, unlike automatic ones, in which there is no human participation. This has led to the creation of control algorithms and their adaptation to the system [9], [13], [14].…”

“…In this characteristic, systems analysis is the only scientific methodology for describing and managing ultra-complex systems, such as human health -individual and social [16], [17]. Each object (process, phenomenon) is considered not as a single, indivisible whole, but as a complex of interconnected constituent elements and they are described first separately, and then the causal relationships and influences between them [9], [10], [11]. By default, this type of research requires modeling on a modular basis of the system with subsequent information and computer experimentation and management [9], [13], [14].…”

“…Developed modules proposed in the paper for e-Health are evidence-based medicine based on scientific developments and evaluations of the authors for a period of more than 10 years [9], [15].…”

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