Year: 2026
Type: article
Abstract: Allergic diseases remain one of the most common chronic pathologies of our time and require new approaches to diagnosis, monitoring, and treatment. The rapid development of digital medical technologies opens opportunities to move from a standardized model of treatment to personalized therapy based on the analysis of clinical, laboratory, behavioral and environmental data of the patient. The purpose of the study is to systematically analyze the role of digital medical technologies in personalized therapy of allergic diseases. The study was performed as a narrative review of the literature using content analysis of scientific publications and clinical guidelines, as well as SWOT and PESTEL analysis of the introduction of digital technologies into the health care system. Telemedicine, telepharmacy, mobile applications, wearable devices, artificial intelligence systems, and digital therapeutic technologies have been shown to create the basis for continuous monitoring of patients' condition, prognosis of exacerbations, optimization of pharmacotherapy, and increased adherence to treatment. The integration of pharmacogenetic data and algorithms to support clinical decisions helps to reduce the risk of adverse reactions and polypharmacy. Content analysis of the literature systematized the main areas of application of digital health in allergology, and comparative analysis confirmed the advantages of a personalized digital model of treatment over the traditional one. SWOT and PESTEL analyses have confirmed the significant potential for digital transformation of allergology in the face of regulatory, economic, and technological challenges. Therefore, digital medical technologies are an important tool for the formation of a personalized model for the treatment of allergic diseases. Their integration into clinical practice can increase the effectiveness of treatment, the safety of pharmacotherapy and the availability of medical care, but requires further clinical studies and regulatory regulation.
Source: SSP Modern Pharmacy and Medicine
DOI: 10.53933/wv26wm48
Author: Iurii Titarenko
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7136340076