Development Of Tools Research Articles

Prerequisites of hybridization of university financing as a tool for ensuring sustainability and strategic development

Purpose. To assess the state of budget financing of Ukrainian HEIs, determine their funding structure, and identify prerequisites for developing hybrid financing as a tool for stability and strategic development. Methodology. Dynamic and structural analysis, the Hirschman-Herfindahl index (HHI(DI) and such methods as quantitative, arithmetic mean, limit values, graphic, visualization, and system methods were used in the research process. The practical testing of research hypotheses was carried out on the basis of a comprehensive approach to the financing of HEIs of Ukraine and a panel sample of 35 universities, which takes into account rating indicators, industry and regional aspects. Findings. Transformation processes at various levels are linked to trends such as reduced budget funding, structural changes, staff and student migration, decreased demand for additional services, and military factors, creating prerequisites for hybrid university funding. The article identifies conditions for hybrid financing, highlights negative trends in HEIs budget financing –including systemic underperformance and inflation impacts – and analyzes income diversification in Ukrainian universities using the HHI(DI). Limiting and average values were determined using the quantitative method, which made it possible to classify universities into sustainable (HHI(DI)  0.55) and risky (HHI(DI) > 0.55) ones; tendencies towards a slight diversification of universities’ incomes are revealed; a conceptual model is proposed of hybrid financing of universities to expand their financial autonomy, based on cooperation between university management, stakeholders, and staff core, with the aim of creating value propositions which satisfy the needs of stakeholders and generate cash flows; a new approach to the division of hybrid financing tools into three groups is proposed: passive or image-based, active-intellectual, and passive-innovative ones. This approach is innovative in the development of financial strategies for universities. Originality. New tools for making management decisions aimed at ensuring financial stability and developing financial strategies for universities are proposed. In particular, they include an original approach to the classification of universities into sustainable and risky ones based on the value of the HHI; the conceptual model of hybrid financing of universities, which promotes the expansion of their financial autonomy; the innovative approach to the division of hybrid financing instruments into three categories: passive or image-based, active-intellectual, passive-innovative. Practical value. The study’s results can be used to make management decisions on expanding financial autonomy of universities. The introduction of the conceptual model of hybrid financing will contribute to the diversification of income, increase in financing, as well as ensuring financial stability and strategic development of universities.

Network Integration as a Tool for Sustainable Business Development

Business enterprises are required to adopt new economic models and business strategies in line with global trends such as the green agenda, the shortening of innovation cycles, digitalization (networking platforms) and socio-economic security. The models of network integrations (clusters, industrial symbioses, innovation ecosystems, etc.) are developing faster than other business models. Networking allows businesses to synergetically, based on the principles of collaboration, trust and self-organization, increase intellectual, innovative, social, and environmental values, which leads to economic growth and sustainable development. Through networking integration, the business performance of all participants in multi-company projects can be improved, regardless of their size and activities. The purpose of this study is to develop a methodological framework for assessing the synergistic effect and the level of collaborative maturity of participants in network industrial integration. This paper provides a comprehensive analysis and evaluation of network business integration efficiency. The authors’ methodology is based on the AHP hierarchy method, expert evaluation and Harrington’s level of desirability. The methodology is validated on Russian industrial integrations: industrial cluster of Nizhny Novgorod region; pipeline valve manufacturing cluster; South Ural industrial cluster producing spare parts and assembly units for roadbuilding, construction and agricultural vehicles. The results show that the level of collaborative maturity of business partners and the synergies from network integration effect the sustainability of business development. Recommendations for businesses are provided to improve their network integration and collaborative maturity. Furthermore, the findings allow the authors to define directions for further research, considering the interests of the business community, regional authorities, and financial institutions, and provide a framework for researchers to investigate the link between industrial network integration and economic growth.

Predicting cardiovascular death 1-year after transcatheter aortic valve implantation: an artificial-intelligence based risk model

Abstract Background Prediction of cardiovascular death after transcatheter aortic valve implantation (TAVI) remains difficult. Currently, more lower risk patients are considered for TAVI and predicting not only immediate survival, but more longer-term outcomes seems important. Most developed risk tools use standard statistical approaches and focus mainly on short-term (30 days post-TAVI) outcomes. Purpose The aim of this project was to identify important predictors for worse outcomes after aortic valve replacement using machine learning features. Furthermore, we want to develop and artificial intelligence (AI) -model to predict cardiovascular death 1 year after TAVI. Methods For our analysis we used 725 patients with severe AS that underwent TAVI between 2008 and 2022 and were included in a prospective single centre observational study. Leveraging an automated machine learning framework, we systematically evaluated various machine learning algorithms including Random Forest, AdaBoost, Neural Networks, Randomized Decision Trees and and Gradient Boosting. Results We constructed prediction models utilizing three feature subsets: the top 10 most important features, the top 15 most important features (Figure 1), and all available features (n=66). Our analyses yielded area under curve (AUC) values of 0.71, 0.83, and 0.92, respectively (Figure 2). The best model was obtained by Randomized Decision Trees. NYHA classification, left ventricular ejection fraction, Charlson comorbidity index, posterior wall thickness and myocardial infarction 90-days before TAVI appeared as the most influential predictors for cardiovascular death within one year after TAVI. Conclusions Our model was able to identify the most important features indicating high risk for patients undergoing TAVI. Using the 15-feature model, we were able to accurately predict cardiovascular death 1 year after TAVI. AI-models to predict risk can be used to better inform/select patients undergoing TAVI.

Corporate Social Responsibility as A Strategic Tool for Sustainable Organizational Image and Development

Corporate social responsibility has becomes so popular that almost every corporate organization applies it to meet communal and corporate needs. However, the existing studies which centre on the influence of corporate social responsibility on Nigerian breweries’ corporate image remain controversial as they could not have any convergent point. Therefore, this study examined the impact of Nigerian breweries’ corporate social responsibility on its corporate image. The study adopted survey design in form of cross-sectional study through systematic random and purposive sampling. The sample size of 370 members of the host community of Nigerian breweries, Ibadan was derived through Taro Yamane’s proportional sampling formula. The Head of the factory’s Corporate Affairs was also purposively selected for qualitative aspect of the study. Two research instruments were used to collect data: self-designed structured questionnaire (a four-point modified Likert scale method) and a structured interview guide. The instruments were validated and subjected to reliability test using Cronbach’s Alpha analysis; a value of 0.81 was obtained. Data obtained were presented and analyzed using simple frequency counts and percentages, and content analysis. Findings reveal that the Nigerian breweries CSR is effective and meticulously implemented; it’s significantly impacts the corporate image of the company positively. It is recommended that certain aspects of the company’s corporate social responsibility should be reconsidered, including road maintaince, housing support programmes and environmental sanitation. It is concluded that Nigerian breweries should strengthen efforts that will sustain its corporate social responsibility programme.

Engineering Academics and Students’ Views on the Phases of Teaching and Learning of Engineering Mathematics in an Antenna Design Course

An antenna design course, naturally, aims to teach students to produce an antenna device, which is a vital tool in technological development. Typically, this course is taught and designed in an abstract manner, which may be an inappropriate approach to teaching it. This approach could be due to engineering academics and students’ poor understanding of how to model mathematics concepts. As a result, antennae experts suggest that antenna technology is a difficult device when it comes to mathematical descriptions, which has resulted in a sudden loss of interest among students in a school of engineering. Thus, this paper reports on the four phases of teaching antenna design using mathematical modelling approaches, with the specific aim of resolving the difficulties encountered in teaching an antenna design course. In achieving this teaching, the study explains the approaches and impact of teaching Mathematical Modelling (MM) in antenna design among engineering academics. In this study, the sample population included one engineering academic and four engineering students. The data were collected using a qualitative research approach, utilising an interview guide and an open-ended questionnaire. Finally, the results of this study confirmed the four major phases of teaching antenna design using engineering mathematics.

Green public procurement as an effective way for sustainable development: A systematic literature review and bibliometric analysis

AbstractGreen public procurement (GPP) has emerged as a strategic tool for sustainable development. However, the drivers and barriers to effective GPP implementation remain unclear. Additionally, the growing volume of GPP research necessitates interlinking with sustainability concepts, such as sustainable development, to guide future research. This paper presents a systematic literature review and bibliometric analysis of GPP research between 2003 and 2023 to identify key themes, trends and research gaps. A dataset of 201 documents retrieved from the Web of Science database was analysed using CitNetExplorer and VOSViewer. By analysing prior literature on the effect of GPP on the achievement of sustainable development, we have found, among others concerns, that: (1) richer qualitative analysis on GPP is needed; (2) there is a gap in understanding localised factors influencing GPP in developing countries; and (3) the transformative role of digitalisation in promoting social and environmental outcomes in GPP is an essential factor. These findings will inform policymakers, practitioners and researchers on the effective implementation of GPP for sustainable development.

BLINKRESNET: COST-EFFECTIVE EYELID LOCALIZATION FOR USE IN A BLINK REFLEXOMETER

Four keypoints corresponding to upper and lower eyelid positions may be localized in the scan videos of a blink reflexometer, an edge device. Images from prior reflexometer scans are tagged in order to train a residual neural network, dubbed BlinkResNet. In order to provide adequate demographic coverage, comprehensive data collection procedures are implemented. The architecture is thoroughly parameterized, allowing for a multidimensional space of compatible architectures to be swept through using a random search. Experimental results on a dataset of annotated reflexometer frames demonstrate significant improvement over a previous algorithm for eyelid localization. A random search identified variants of BlinkResNet best-suited for reflexometer frame annotation, with BlinkResNet-Default achieving a [Formula: see text] score of 0.966 on the validation dataset. Requirements for deployment on an edge device are met: training ease, generalizable inference performance, and low computational cost. A sweep may be conducted on any combination of hyperparameters and datasets, making it an adaptable tool for the continual development of customized machine learning architectures. The analysis of sweep results provides valuable insights into optimal model organization for specific tasks. Thus, methodical data annotation and sweeps over a parameterized machine learning routine are investigated as measures to achieve rapid, accurate inference results.

An inclusive framework for automated web content accessibility evaluation

AbstractSince 1996, web accessibility evaluation has been an important aspect of web development to increase social inclusion for people with special needs. Several web accessibility evaluation and testing tools have been developed to automatically evaluate websites in order to identify barriers for people with disabilities. The developed tools are significant since their aim is to effectively represent accessibility issues. However, a few issues with website accessibility cannot be identified through the existing accessibility testing tools due to several limitations, including (i) inappropriate guideline selection, (ii) ambiguities in guideline understanding, (iii) avoiding user and expert suggestions as evaluation criteria, (iv) limited consideration of semantic perspectives, and (iv) unwillingness to incorporate the updated engineering methods. Therefore, reported results may be unclear and inappropriate for some users. Such limitations are critical factors that reduce the effectiveness of the developed tools. These issues cause unwillingness to use a particular tool or possible adoption of other tools. In this situation, we must identify which aspects are important to incorporate in the development in order to make the developed solution more effective as it allows users to make their website accessible to people with disabilities. In this paper, first, we present a literature review of different existing solutions for web accessibility testing to identify their challenges and limitations. Following the reported findings, we propose an automated web accessibility evaluation framework addressing several accessibility aspects to improve the evaluation results by mitigating the limitations of existing solutions. The proposed framework is validated by comparing it with existing automated solutions considering their functional properties. The proposed accessibility framework might be beneficial for web developers, accessibility engineers, and other practitioners to incorporate into their development and research.

INNOVATIONS IN HUMAN RESOURCE MANAGEMENT IN THE PUBLIC SECTOR OF UKRAINE

The article examines the characteristics of innovations in human resource management within Ukraine’s public sector. It defines the concept of innovation in human resource management as the introduction of new ideas, methods, technologies, and processes aimed at enhancing the efficiency and effectiveness of managing human resources. The importance of studying this topic is highlighted, particularly in light of the need for the public sector and government bodies to adapt to the demands of wartime and the socio-political crisis, as well as the necessity to develop a strategy for advancing the public sector through the implementation of various international agreements. The main objective of the study is to analyze the specific features of introducing innovations in the human resource management system of Ukraine’s public sector. This includes identifying successful practices for implementing electronic systems, key areas for the digitalization of public administration, and promising research directions. The study demonstrates that several organizational, technological, and social variables influence the interactions between employees, management, and other stakeholders. For instance, technological innovations enable the automation of HR processes (e.g., talent management systems, HR analytics, electronic document management platforms) and the use of online tools for employee training and development (e-learning, webinars). Organizational innovations promote the adoption of new management models. The study highlights several priority areas for further development: strategic communications in public policy, shaping the corporate culture of government agencies, defining their mission, strategic goals, values, and vision; fostering innovative leadership; developing horizontal connections within organizations through innovation; and ensuring principles such as fairness, transparency, openness, and equal access through the digital transformation of public administration.

Evaluating the Role of GCC Nations in Sustainable Energy Investment Using an Enhanced Low-Carbon Economy Index

In the past decade, environmental, social and country governance (ESG) aspects as well as economy have become key factors for decisions in the investment and future development of renewable energy industry. The abundancy of renewable resources and widely accessible technology are the key drivers for the renewable energy business in the GCC. However, lack of effective policies and regulations, along with subsidized fuel prices, are slowing down the implementation of renewable resource options. This study will illustrate the potential, the challenges, and the barriers of implementing renewable energy technologies in the GCC region. In addition, this research empirically examines the impact of renewable energy sources and other factors in the GCC countries. This study can be used as a screening tool, decision making tool, benchmarking tool and guidance of sustainable development.

Bernard Stigler's Theory of Media Technology and Impact on Communication Studies

Abstract: In todays digital era, media technology is critical in shaping modern society. Accompanied by the rapid development of digital technology, the functions and roles of the media have undergone tremendous changes, and the speed, quality, and ways in which people access information have undergone unprecedented changes. Advances in media technology have reshaped how people interact with the outside world and profoundly impacted culture, cognition, and identity. Bernard Stiegle's media technology theory provides a theoretical framework for re-examining the relationship between humans and technology from a technological perspective. Stiegle argues that technology is both a tool for human development and the second origin of human beings. By proposing the theory of 'tertiary retention,' the crucial role of technology in the externalization of memory is revealed. Technology acts as both an antidote and a poison, facilitating the progress of human society and posing significant risks. In the digital age, changes in media technology have brought about problems such as cultural homogenization, identity crisis, and systemic ignorance and even led to the proletarianization of social consciousness. Stiegler's theory criticizes the logic of capitalism behind digital technology and argues that human beings must re-examine their relationship with technology to avoid falling into a technologically dominated cultural dilemma.

Prediction of human O-linked glycosylation sites using stacked generalization and embeddings from pre-trained protein language model.

O-linked glycosylation, an essential post-translational modification process in Homo sapiens, involves attaching sugar moieties to the oxygen atoms of serine and/or threonine residues. It influences various biological and cellular functions. While threonine or serine residues within protein sequences are potential sites for O-linked glycosylation, not all serine and/or threonine residues undergo this modification, underscoring the importance of characterizing its occurrence. This study presents a novel approach for predicting intracellular and extracellular O-linked glycosylation events on proteins, which are crucial for comprehending cellular processes. Two base multi-layer perceptron models were trained by leveraging a stacked generalization framework. These base models respectively employ ProtT5 and Ankh O-linked glycosylation site-specific embeddings whose combined predictions are used to train the meta-multi-layer perceptron model. Trained on extensive O-linked glycosylation datasets, the stacked-generalization model demonstrated high predictive performance on independent test datasets. Furthermore, the study emphasizes the distinction between nucleocytoplasmic and extracellular O-linked glycosylation, offering insights into their functional implications that were overlooked in previous studies. By integrating the protein language model's embedding with stacked generalization techniques, this approach enhances predictive accuracy of O-linked glycosylation events and illuminates the intricate roles of O-linked glycosylation in proteomics, potentially accelerating the discovery of novel glycosylation sites. Stack-OglyPred-PLM produces Sensitivity, Specificity, Matthews Correlation Coefficient, and Accuracy of 90.50%, 89.60%, 0.464, and 89.70%, respectively on a benchmark NetOGlyc-4.0 independent test dataset. These results demonstrate that Stack-OglyPred-PLM is a robust computational tool to predict O-linked glycosylation sites in proteins. The developed tool, programs, training, and test dataset are available at https://github.com/PakhrinLab/Stack-OglyPred-PLM. Supplementary data are available at Bioinformatics online.

Efficacy of Clear Aligner Therapy for the Treatment of Anterior Open Bite in Adults: A Systematic Review and Meta-Analysis.

The objective of the present systematic review and meta-analysis was to assess the effectiveness of clear aligner therapy (CAT) for the treatment of anterior open bite (AOB) in adults. The focused question was "Is CAT effective for the management of AOB in adults?". Databases were searched without time and language barriers up to and including August 2024 based on pre-specified eligibility criteria. Risk of Bias (RoB) assessment was performed using the Risk-of-Bias-In-Non-randomised-Studies-of-Intervention (ROBINS-I) tool. Meta-analyses were conducted using a random effects model (REM) for change in AOB and cephalometric measurements with an evaluation of the mean difference (MD) and/or standardised mean difference (SMD). The Grades of Recommendation, Assessment, Development and Evaluation (GRADE) tool was used to assess the quality of evidence. Publication bias was assessed using Funnel plots and Egger's regression test. There were 14 studies included in the qualitative assessment and 12 in the meta-analysis. The RoB was moderate in 13 studies and low in one. The meta-analysis showed significant AOB correction with CAT [(MD) = 2.76 mm, 95% confidence interval (CI): 2.23-3.28] due to maxillary and mandibular incisor extrusion (MD = 0.85 mm, CI: 0.43-1.26 and MD = 0.86 mm, CI: 0.29-1.44, respectively). There were no significant changes identified for maxillary and mandibular molar intrusion or changes in the mandibular plane angle (MPA). The level of confidence was high for AOB correction, incisor extrusion, and molar intrusion and low for MPA. CAT leads to a significant correction of AOB of approximately 2.76 mm, which can be mainly attributed to incisor extrusion.

Critical factors for the success of Sustainable Development Goal 12 in the digital transformation era: The effect of ISO 14001

AbstractCompeting in the global market requires organizations to change rapidly, addressing both digital transformation and sustainable development challenges. This study uncovers new relationships and critical factors, enriching current knowledge and guiding future research on how digital transformation enhances sustainable consumption and production (Sustainable Development Goal 12 [SDG12]) success. It identifies key factors that enhance or inhibit these relationships by combining structural model and necessary conditions analysis. The findings reveal that organizations must excel in digital capabilities directly and through excellence practices to achieve SDG12 success. ISO 14001 further strengthens the impact of digital transformation and excellence practices on SDG12. The results empirically demonstrate what European Foundation for Quality Management (EFQM) and American Society for Quality (ASQ) advocate: excellence practices are a tool for sustainable development. This study adds both to the literature and practice on the relationships between digital transformation, excellence models, and sustainable development and how these relationships are influenced by ISO standards.

Microfinance as a tool for sustainable development of small and medium-sized businesses in Kyrgyzstan

The article explores the role of microfinance in the development of SMEs in Kyrgyzstan. The authors analyze the significance of this tool for the country's economy and offer practical recommendations for its use. The results of the study emphasize the importance of the potential of microfinance in the support and development of small and medium-sized businesses, contributing to the improvement of socio-economic indicators. At the same time, state support for the activities of SMEs, in particular ensuring access to financing, including microfinance, remains one of the most pressing problems of the Kyrgyz economy, requiring an integrated approach and careful attention from the authorities.

A Digital Engineering Analysis of an Additively Manufactured Turbine Vane

Abstract Additive manufacturing (AM) has transformed the ability to accelerate gas turbine component research and development at a fraction of the cost and time associated with conventional manufacturing. However, whereas prior works have assessed manufacturing variability in cast turbine airfoils, limited data are available to understand the impact of as-built deviations in AM turbine parts. As metal additive airfoils are becoming more prevalent in research turbine architectures, it is increasingly important to understand the effects of potential hardware deviations specific to additively manufactured parts. With this goal in mind, the current study utilizes a digital engineering approach to evaluate the aerodynamic impact of surface deviations on a high-pressure turbine vane design created for research purposes. RANS-based CFD studies derived from structured light scans of as-built turbine vanes are used to quantify performance relative to design intent geometries. Further computational analyses compare results from individual serialized parts with an average vane doublet geometry serving as a surrogate for the entire wheel. Particular emphasis in the study focuses on external surface defects caused by internal cooling features that are inherent through additive manufacturing and how these features can impact the vane performance. Ultimately, this study identifies specific regions of the vane that are subject to increased sensitivity, which benefits future designers intending to use AM as a tool for turbine research and development.

ICTS as Tools for Local Development: Santa Elena Province; A View from the SDGs

Introduction: Currently, there are social problems that affect humanity, one of them is the gap between knowledge of ICTs and their application in social networks for access to information in a timely manner in order to contribute to personal and professional development and contribution to the development of the community. The State provides opportunities based on programs, projects and strategies to direct aid and educate the population in the digital age. Objective: The research objective is to determine the way in which ICTs are used as tools for local - community development through the qualitative-quantitative approach to strengthen the development of the Amantes de Sumpa neighborhood in the Province of Santa Elena. Method: The methodological process applied in this topic is descriptive and deductive, as well as the types of documentaries, field; as well as the population that will be stratified in the neighborhood, which was investigated through the survey and the interview with the neighborhood leader. The reliability of the Likert-type instrument was also carried out by calculating Cronbach's Alpha, which was 0.833. Results and conclusions: The people participating in the research stated that it is important to develop care agreements, promote technological services, since access will allow improving the productive activities of entrepreneurs in the Amantes de Sumpa neighborhood, and promote an electronic commerce system that can be installed from public or community institutions in such a way that this serves for the permanent dissemination of the economic activities carried out by the neighborhood sector.

Impacts of Solar Home Systems in Rural Areas: A Case Study in Bangladesh

Access to electricity is important for development in general, but access at low costs is a vital tool of economic and social development, especially for those locations that lie very far from the grid. The present study investigates the impacts of solar home systems in a rural area of Bangladesh, focusing on the ways in which the adoption of SHS transforms household livelihoods. It has improved the lives of the community members through an affordable and reliable source of electricity that allowed enhanced lighting and security, increased educational opportunities, empowerment of women, reduced reliance on harmful energy sources, increased economic productivity, environmental sustainability, human relationships and well-being. These studies emphatically underscore the fact that the biggest challenge remains affordability: in most instances, SHS is accessed through family savings or loans from NGOs. In spite of these barriers, SHS has conventionally been portrayed as an empowering tool that enhances the quality of life and aids in fulfilling the goals of sustainable development in rural areas. The paper concludes by relating conventional energy sources with a comparison, emphasizing broader benefits and possible long-term potentials for SHS in tackling energy poverty within rural Bangladesh.

The construction and validity assessment of the respiratory air quality health index (AQHI) based on the analytic hierarchy process in Tianjin, China

BackgroundAir quality health index (AQHI), as a developed air quality risk communication tool, has been proved to be more accurate in predicting air quality related health risks than air quality index (AQI) by previous studies. However, the standard method to construct AQHI is summing the excess risks of single-pollutant models directly, which may ignore the joint effect of air pollutant mixtures.MethodsIn this study, a new method which could solve the aforementioned problem, Analytic hierarchy process (AHP), was introduced. Based on this method, we constructed the respiratory health related AQHI using years of life lost (YLL) as indicator of health outcome and compared its validity with AQI.ResultsThere was a correlation between daily AQI and AQHI in 2019 (R2 = 0.830, P < 0.01), and the chi-square test between the two excellent rates showed a statistically significant difference (χ2 = 4.156, P < 0.05). Both AQI and AQHI were correlated with the daily respiratory YLL (P < 0.01), however, the coefficient of AQHI was larger than those of AQI.ConclusionsThis study indicated that compared with AQI, the constructed AQHI based on AHP may predict the health risk of air pollution more effectively. AHP may become a new method to construct AQHI which needs to be proved by taking into consideration by more studies.

Усовершенствование первичной медико-санитарной помощи с применением цифровых технологий: методология разработки инструментария оценки «цифровой зрелости» и научно обоснованные рекомендации

The digitalization of the economy, especially within the framework of the concept of Industry 4.0, has a significant impact on the medical field. In healthcare, digital technologies such as telemedicine technologies, decision support systems and artificial intelligence increase the availability and quality of medical services. The purpose of the study is to develop scientifically based recommendations for improving primary health care using the developed tools for assessing the «digital maturity» of primary care organizations. Materials and methods. To develop recommendations, a methodology was used to assess the «digital maturity» of medical organizations providing primary health care. Experts assessed the indicators of «digital maturity», and their significance was determined through a weighted average. The results of the assessment made it possible to identify the main, additional and excluded indicators, which became the basis for further development of recommendations. Results. Based on the developed methodology, classifications of the levels of «digital maturity» of medical organizations providing primary health care, ranging from low to high levels, were created. These classifications made it possible to identify key aspects that need improvement, including digital infrastructure, information system functionality, the use of artificial intelligence, as well as digital literacy of medical personnel. Conclusions. The digital transformation of primary health care contributes to improving the quality and accessibility of medical services, especially in remote regions. The developed methodology makes it possible to objectively assess the level of digitalization and formulate recommendations for individual digital transformation strategies in the regions of Russia. It is important to continue monitoring and research to assess the long-term effects of digitalization.