Health Technology Research Articles

Effective regulation of technology in women's health and healthcare.

A continuous glucose monitoring system (CGM) is a digital health technology (DHT) device that measures interstitial glucose. CGMs are used in the management of diabetes. The purpose of this study was to retrospectively assess the quality of CGM data in a clinical trial involving patients with type 1 diabetes. CGM data were collected from 461 patients with type 1 diabetes who participated in a 16-week, double-blind phase 3 trial designed to examine the efficacy of prandial (mealtime) insulins. CGM data were collected at three 2 week study time points. The patterns of missing CGM data (due to non-wear, user- and device-related causes) and the relationship between CGM metrics and hemoglobin A1C (HbA1c) were examined using data visualization approaches. Across the three observation periods, 4.7-6% of CGM observations were missing. Approximately 16% of daily values were missing on days when a new CGM sensor was inserted. For many patients, high glucose variability was associated with low time in range (TIR) and HbA1c >7%. Conversely, low glucose variability was associated with higher TIR. Our analysis identified the need for adequate documentation indicating the presence of patient- and device-related events (e.g., sensor changes, non-wear time) to address causes of missing CGM data. These causes need to be considered prior to the statistical assessment of such data for research and regulatory purposes. Accurate documentation of post-baseline events is important for the development of research and regulatory standards for the collection and analysis of data acquired from DHTs.

Digital health technologies, such as telehealth, remote patient monitoring, and smartphone apps, have the potential to reduce access disparities faced by rural patients with cardiovascular disease, but little is known about rural health care providers' perspectives on adopting digital health in their practice. This study used diffusion of innovations theory as a guiding framework to interpret interview findings on rural and rural-serving health care providers' perspectives on the use of digital health to deliver rural cardiovascular care. We conducted semistructured interviews with rural and rural-serving health care providers, including primary care advanced practice providers and physicians, as well as referring cardiologists from 6 primary care clinics in Alaska, Idaho, and Washington. We performed a directed content analysis of interview data informed by diffusion of innovations theory and identified emergent subthemes related to each of the 5 factors that influence adoption: relative advantage, compatibility, complexity, trialability, and observability. Seventeen health care providers participated in this study. Participants described cycles of adopting and discontinuing the use of digital health in their practice. Participants identified advantages of digital health including reduced patient travel, the ability to leverage nonphysician health care workers, and the availability of objective patient data from remote patient monitoring. Compatibilities included increased patient adherence and follow-up and the ability to involve specialists in patient care. The trialability of digital health was described through experiences with remote patient monitoring and scaled-up use of telehealth during the COVID-19 pandemic, and participants observed the benefits of digital health in other disciplines and as patients. We also identified several disadvantages, incompatibilities, and complexities that may hinder the adoption of digital health technologies in rural practice, most of which were highlighted at the clinic and patient levels. These disadvantages, incompatibilities, and complexities included substandard equipment, inability to perform a physical examination, connectivity issues caused by poor internet and cell phone service, concerns about patient age and technical abilities, concerns about proper fit and distribution of remote patient monitoring equipment, and questions about billing and data management for digital health technologies. Rural health care providers recognize the many advantages of using digital health in caring for patients with cardiovascular disease but find that digital health is often complex and incompatible with their needs and the needs of their patients. There may be a disconnect between the potential of digital health and how it works in practice, as evidenced by the cycles of adoption and discontinuance of digital health technologies described by rural health care providers. Future rural digital health interventions in cardiovascular care should take into consideration specific complexities and incompatibilities in the rural context.

With the aging of the population and the rising incidence rate of chronic diseases, chronic disease management has become an important challenge in the field of global public health. The emergence of remote medical technology has provided new solutions for chronic disease management. This article reviews the application and effectiveness evaluation of telemedicine in chronic disease management, and explores its potential in improving medical service efficiency, improving patients' quality of life, and reducing medical costs. At the same time, analyze the current challenges faced and propose future development directions.

In macro world, the robots are programmed machines, engineered to perform repetitive and often specialized tasks. Scaling down the size of a robot by a billionth of a meter gives a nano robot. The primary driving force behind the advent of micro and nano robots have always been the domain of medical technology and these robots are popularly known as nano bio-robots. The current review shines a light on these bio-robots in all their facets, encompassing both top-down and bottom-up fabrication approaches to their associated challenges followed by ethical approvals. The study describes in detail the synthesis techniques of nano bio-robot along with required actuation mechanism of the bio-robots. Further, in this paper, how a nano biorobotic drug-delivery system (NDDS) can deliver the drugs in a controlled way to the targeted site of the host in contrast to conventional drug administration is discussed. The paper also reviews and summarizes the administration pathways of these bio-robots in the human body and their efficacy in reducing various disorders. Overall, it can be said that the integration of nano robots with bio-concept presents distinct advantages and possesses significant promises for many applications.

The integration of genomic tests such as the Oncotype DX Breast Recurrence Score® test, into routine clinical practice represents a significant advance in personalized breast cancer care. By supporting more tailored therapeutic decisions, these diagnostics can improve patient outcomes, while reducing risks of undertreatment, overtreatment, and associated side effects. Cost-effectiveness has already been demonstrated in numerous publications. However, for widespread adoption across Europe, four principal challenges must be overcome: regulation, technology assessment, reimbursement, and gaps in real-world evidence. Since May 2022, the European Union In Vitro Diagnostics Regulation (IVDR) has updated requirements for demonstrating clinical utility and analytical and scientific validity, creating new barriers for manufacturers regarding primary evidence generation. Variability in health technology assessment (HTA) frameworks and reimbursement mechanisms across countries further complicates adoption. Demonstrating real-world benefits of these technologies requires robust, representative data collections, yet current clinical trial evidence often underrepresents certain patient populations, raising equity concerns. Whilst the IVDR will help standardize regulatory requirements, challenges remain in harmonizing evidence standards for HTA and reimbursement. This review explores these barriers using the Oncotype DX® test as an exemplar. Evidence was drawn from targeted literature searches and reviews of regulatory, reimbursement, and gray literature relevant to European healthcare systems.

Population aging has intensified the global burden of dementia, creating significant challenges for patients, caregivers, and health care systems. While traditional in-person dementia care faces barriers, digital health technologies offer promising solutions to enhance accessibility, efficiency, and patient-centered care. However, evidence on applicability, safety, and effectiveness in dementia care remains fragmented, underscoring systematic evaluation. This study aims to assess the effectiveness, applicability, safety, and cost-efficiency of telemedicine technologies in dementia care, providing a comprehensive summary of evidence spanning clinical, psychological, socioeconomic, and operational impacts for persons living with dementia and their caregivers and assess alignment with the World Health Organization (WHO) Age-friendly Cities and Communities' Framework and Dementia Inclusive Society Framework. An overview of systematic and scoping reviews was conducted following a search in 5 databases (MEDLINE, Embase, Scopus, Epistemonikos, and Cochrane Database of Systematic Reviews), with a gray literature search on February 20, 2024. Eligible studies reported predefined outcomes related to telemedicine interventions for integrated dementia care, including effects on mental health, quality of life, physical activity, hospitalization, financial costs, safety, social isolation, and motor function. Screening and data extraction were performed by 10 reviewers. The findings were synthesized using the Thematic Analysis in Meta-Evidence (TAME) methodology, combining thematic and lexical analyses with single-proportion meta-analysis for comprehensive qualitative-quantitative synthesis. The methodological quality was assessed using the AMSTAR 2 (A Measurement Tool to Assess Systematic Reviews), with GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative Research) for outcomes' confidence in evidence. Ninety-one reviews provided evidence on the impact of telemedicine in dementia care. The most frequently reported outcomes were the effects of remote interventions on psychiatric and psychological well-being, particularly depression and anxiety (relative frequency of occurrence [RFO]=65%, 95% CI 54-75, moderate certainty of evidence). Fifty-seven studies highlighted the positive impact of telemedicine and telehealth on satisfaction and quality of life for persons living with dementia, caregivers, and health care providers (RFO=63%, 95% CI 52-73, moderate certainty of evidence). Remote technology-related interventions for reducing falls and managing behavioral symptoms were also frequently reported (RFO=33% 95% CI 23-44], moderate certainty of evidence). These interventions showed effectiveness in alleviating social isolation and loneliness (RFO=31%, 95% CI 22-41, moderate certainty of evidence). The methodological quality of the included reviews varied significantly, with the majority rated as low or critically low quality. Telemedicine and telehealth have been demonstrated to be effective and valuable tools in dementia care, offering significant benefits across psychological well-being, quality of life, and social impacts for persons living with dementia and their caregivers. This supports the adoption and implementation of telemedicine in dementia care, aligning with the strategies outlined in the United Nations Decade of Healthy Ageing (2021-2030).

Despite tremendous advances in new drug development over recent decades, the medical needs of an ever increasing and ageing global population are still significantly unmet. Drug repurposing (DR)-finding new therapeutic uses for existing medicinal substances and products-offers a promising strategy by potentially reducing development time, costs and risk. However, currently, significant hurdles restrict broader application of DR. This study was conducted within the European Commission funded REMEDi4ALL consortium to systematically identify and analyse the key policy obstacles perceived to be hindering the success of DR. A systematic literature review was conducted using PubMed and Embase, supplemented by grey literature searches and expert interviews within the consortium. The extracted data underwent thematic analysis. A barrier tree was developed and validated through five workshops with 80 experts from seven stakeholder groups. From 4059 hits, 192 were included for data extraction, resulting in the identification of 33 key barriers grouped into nine main themes: perception of off-patent medicines, business case for on-patent DR, business case for off-patent DR, non-industry-funded DR, ecosystem for non-profit or small and medium-sized enterprise-driven repurposing, market authorisation, exclusivity rights, health technology assessment and pricing. This comprehensive analysis provides a foundation for prioritizing the main areas for future interventions. Surprisingly, there were considerable differences in how different stakeholders perceived the importance of a number of key barriers. Such multidimensional aspects of DR barriers will need to inform future development of actionable policy recommendations to enhance the DR ecosystem and facilitate broader access to repurposed medicines.

The results of rehabilitation clinical trials can be negatively affected by adherence to trial protocols. Adherence is multi-factorial, but studies often look at adherence factors separately. Therefore, a systematic review to appraise and synthesise the evidence is warranted to determine the barriers, facilitators and predictors associated with adherence to inpatient rehabilitation trial protocols, whether and how factors interact with one another, and how adherence to rehabilitation protocols can be optimised. A mixed-methods systematic review was conducted and reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Databases searched were PubMed (Ovid), EMBASE (Ovid), MEDLINE (Ovid), CINAHL (Ovid), PsycINFO (Ovid), Cochrane Library, Health Technology Assessment Database, Web of Science and grey literature up to April 2024. A cohesive, integrated methodology was employed, leveraging the Consolidated Framework for Implementation Research (CFIR) 2.0, to transform, synthesise and integrate data from various methodologies to address the review objectives. Twenty-seven studies met the inclusion criteria (randomised controlled trials, qualitative studies related to randomised controlled trials or mixed-methods). Most of the studies were in stroke (n = 17), but other studies included neurological, respiratory, cardiovascular, post-surgical, osteoarthritis and elderly medical. Multiple factors affecting adherence protocols were identified. Adherence was measured in various ways, and setting pre-specified adherence levels was uncommon. Adherence to inpatient rehabilitation trial protocols is multi-dimensional and multi-factorial. Consensus of adherence measurement and interpretation of adherence levels is needed to make meaningful comparisons between trials. A standardised approach, including adopting a traffic light system, would enable trialists to implement changes mid-trial or stop the trial to avoid research waste. Adopting approaches from behavioural science in the design and conduct of inpatient rehabilitation trials may overcome some of the behavioural barriers identified and optimise adherence for those delivering and receiving the intervention. Prospective Register of Systematic Reviews, registration number CRD42021270121.

Technology is essential for advancing healthcare services by enhancing information availability and access. This is especially relevant to Singapore's rapidly ageing population. However, despite widespread smartphone ownership, usage of health-related applications remains low among older Singaporeans. Therefore, this study sought to investigate and understand key factors influencing older adults' attitudes towards technology, namely in health, communication, productivity, and entertainment. This cross-sectional study was conducted in Singapore through a self-administered face-to-face questionnaire. Data were collected from 380 adults aged 40 and above regarding attitudes towards different technologies in four domains: health, communication, productivity, and entertainment in July 2023. Participants' responses were then re-coded as having a positive or negative attitude, and chi-square tests were used to analyse across categorical variables. Multivariable logistic regression examined the association between attitude and age groups, adjusting for confounders. Overall, respondents exhibited positive attitudes toward health technology (69.5%), communication (94.5%), entertainment (85.8%), and productivity (79.7%). Participants aged 75 and above exhibited lower positive attitudes, although they demonstrated notable positivity toward communication (74.6%) and entertainment (56.7%), as opposed to health (35.8%) and productivity (38.8%). Younger age groups (40-54 years) exhibited higher odds of positive attitude toward health technology (OR 7.69, 95% CI: 2.42-25.5), similarly for those with higher education (OR 6.0, 95% CI: 2.64-14.1) and larger families (OR 4.77, 95% CI: 1.54-17.2) after multivariable adjustment. Notably, positive attitudes toward health technology were consistently lower across all age groups compared to other domains. Within health technology, younger adults were more inclined to use medical services and health apps compared to older adults. Although younger adults utilised technology more for time-saving purposes (53% vs. 18%, P < 0.001), no age differences were observed for health monitoring (44% vs. 37%, P = 0.228). More older Singaporeans were less positive towards health technology compared to technologies for communication, productivity, and entertainment. Increasing age remains the predominant variable, even after adjusting for confounders. Efforts to improve accessibility, usability, and perceived usefulness of health technologies may help enhance adoption among older adults.

This article uses the medical technology startup Theranos as a case study to analyze the reasons for its failure and the management lessons learned from venture capital investments. The study found that Theranos' core technology was immature and lacked independent verification, leadership was highly centralized and fostered a culture of fear, the board lacked professional expertise, and investors were seriously deficient in pre-investment due diligence and post-investment oversight. Furthermore, the venture capital market suffers from a star founder effect and me-too investing, exacerbating investment risks. The company's management was in a state of high centralization of power. Founder Elizabeth Holmes held absolute decision-making authority, and a fear-based corporate culture characterized by suppressing doubts and concealing problems took root internally. This rendered the risk early warning mechanism completely ineffective. Moreover, most board members were figures from the political and business circles outside the medical technology field, lacking professional technical backgrounds, which made it difficult for them to effectively judge and supervise the risks of the core business. This article proposes risk management recommendations for high-tech startups, including strengthening technical feasibility assessments, increasing post-investment governance participation, establishing periodic review and exit mechanisms, and emphasizing the importance of building a corporate culture and improving oversight to prevent similar capital-technology imbalances from recurring.

This pilot study investigates how social media interactions between healthcare professionals and medical technology companies influence knowledge spillover and medical technology innovation in Austria. Grounded in social network theory and the knowledge spillover theory of entrepreneurship, the research examines how network closure (trust and cohesion) and network brokerage (access to diverse and novel information) shape innovation dynamics. A cross-sectional survey conducted in 2024 was analyzed using social network measures for healthcare professionals and medical technology companies. Results show that urban networks displayed lower density but greater brokerage opportunities, facilitating radical innovation through diverse knowledge flows, while rural networks relied on cohesive, trust-based ties, supporting incremental innovation through established and familiar knowledge exchange. For healthcare professionals, collaboration within trusted local professional communities enhances existing medical practices and reliability in patient care, but may limit access to novel solutions. For medical technology companies, rural contexts require long-term trust with healthcare professionals and support gradual implementation of innovations. Urban networks, by contrast, displayed lower density but greater brokerage opportunities, giving healthcare professionals quicker access to new knowledge and enabling medical technology companies to introduce more radical innovations through various relationships. These results illustrate that digital platforms do not remove spatial differences but instead support them: urban environments reward openness and cross-boundary exchange, while rural environments reward stability and trust. Aligning innovation strategies with these geographical dynamics is crucial for effective collaboration and improved health outcomes.

Gulf Cooperation Council (GCC) countries are undergoing a critical transformation in their healthcare systems. This empowers them to address the rising burden of complex diseases, including rare diseases, cancer, neurological disorders, and immunological illnesses, which involve a high cost of therapy. A strategic shift from volume- to value-based healthcare (VBH) emphasizes sustainability, enhanced accessibility, and improved health outcomes through innovation. GCC’s healthcare is marked by universal coverage and a shifting landscape of public-private partnerships. Rising pharmaceutical costs, especially for specialty drugs, continue to challenge budget sustainability. VBH offers a strategy to align healthcare expenditure with patient outcomes. This framework is supported by global and regional models such as managed entry agreements (MEAs), multi-criteria decision analysis, and real-world evidence (RWE). These models provide guidance for reimbursement strategies and support decision-making regarding high-value treatments. The GCC nations are also progressing towards policy discussion, but face challenges related to infrastructure, regulation, and workforce capacity. The Department of Health (DOH) in Abu Dhabi, which is a governmental health authority in the United Arab Emirates, has officially established a dedicated HTA unit to evaluate and assess new health technologies for evidence-informed decision making. This review highlights specialty care priorities and proposes target strategies such as expanding genetic databases, implementing screening programs, and establishing risk-sharing agreements to improve affordability, particularly for rare diseases. A consensus-driven phased roadmap for GCC-wide VBH adoption is recommended. This includes a focus on MEAs and patient-reported outcome measures, mid-term harmonization of health technology assessments (HTA) and RWE development as well as long-term establishment of digital ecosystems and value-based pricing platforms. Equitable and collaborative policies will be essential to achieving sustainable and inclusive healthcare systems across the GCC.

Objective: To analyze the impact of Artificial Intelligence and algorithms for risk stratification in emergency rooms. Literature Review: Artificial Intelligence is a branch of computer science that aims to develop systems that simulate the human capacity to perceive a problem, identifying its components to solve problems, and then propose and/or make decisions based on them. In the field of medicine, this involves the use of computers that, by analyzing a large volume of data and following algorithms defined by experts in the field, are able to propose solutions to medical problems. Final considerations: There is a consensus regarding the effectiveness of technology in medicine and public health, since the complexity of modern medicine exceeds the inherent limitations of the human mind. Thus, AI has the ability to process data and generate responses for increasingly accurate risk stratification strategies by inducing improvement (self-learning) of its own algorithms.

Currently, medical image segmentation technology faces severe real-time bottlenecks in clinical applications such as intraoperative navigation. The widely used 3D U-Net is difficult to deploy effectively in demanding real-time edge computing scenarios, and a single-dimensional optimization strategy makes it difficult to simultaneously achieve the synergistic breakthroughs of 9% inference acceleration and 3% accuracy improvement required for clinical practice. To this end, this study proposes a lightweight dynamic 3D U-Net that achieves collaborative optimization through dynamic weights and deformable convolutions. The method involves introducing deformable convolutions to enhance boundary segmentation capability, designing a dynamic weight mechanism to reduce computational redundancy by 30%, and combining group convolution with dynamic sparse computation to limit memory increment to within 0.1%. Experiments show that the model achieves a 0.7744 Mean Intersection over Union on liver Computed Tomography data, reduces inference time to 48.4 seconds, and increases memory usage by only 0.6 MByte Accelerated by NVIDIA TensorRT, the system can further meet intraoperative real-time requirements. This study overcomes the limitations of traditional isolated optimization and provides an end-to-end, open-source solution for devices with Gigabytes of memory, effectively promoting the clinical translation of lightweight medical image segmentation.

BackgroundThe internet has emerged as a critical avenue for the public to access health information resources. As online health information is a key resource for older adults, the factors influencing their online health information–seeking behaviors (OHISBs) are crucial.ObjectiveThis study aims to examine the trajectories and influencing factors of OHISB among community-dwelling older adults and to explore their attitudes toward this information in daily contexts.MethodsA longitudinal mixed methods study was conducted involving 346 older adults from three communities in Shandong Province, China. In the quantitative phase, data were collected at three time points: baseline (T1), 6 months postbaseline (T2), and 12 months postbaseline (T3). Latent class growth modeling and logistic regression identified trajectories and predictors of OHISB, while a cross-lagged panel model analyzed longitudinal relationships among digital health literacy (DHL), technology anxiety (TA), and OHISB. Subsequently, we conducted semistructured, in-depth interviews with 16 older adults from different OHISB trajectory subgroups using a descriptive phenomenological approach. Quantitative and qualitative results were integrated via triangulation.ResultsLatent class growth modeling identified three OHISB trajectories: low-level declining group (92/346, 26.6%), medium-level stable group (187/346, 54%), and high-level declining group (67/346, 19.4%). Multivariate logistic regression identified household registration, education, income, chronic disease status, internet frequency and duration, online health information attitude and experience, DHL, and TA as significant predictors of OHISB trajectory. TA mediated the relationship between DHL and OHISB, with an effect size of 0.04 (SE 0.014, 95% CI 0.0123–0.068). Qualitative interviews with 16 participants revealed four themes: personal cognition, emotional experience, external environment, and behavioral choices. The quantitative study elucidated the pathway between DHL, TA, and OHISB, providing a data-driven foundation for the qualitative inquiry. In a complementary manner, the qualitative study revealed themes not captured quantitatively—particularly how personal factors influence behavior through attitudes—and elaborated on sources of social support and the role of the medical environment. Together, both methods convergently demonstrate that older adults’ information behavior is not static but shaped by individual and environmental factors, resulting in distinct behavioral patterns.ConclusionsBoth quantitative and qualitative findings clarified the developmental process of OHISB among older adults in communities and the important effects of DHL, TA, and risk perception on OHISB. Although self-efficacy, health anxiety, self-perceived aging, social support, and health care environment were not addressed in the quantitative study, they emerged as important factors shaping older adults’ OHISB in qualitative interviews. Personalized intervention measures should target various OHISB trajectory characteristics and their influencing factors to enhance the health conditions of community-dwelling older adults.

As clinical trial design and conduct continue to evolve with innovative approaches, new technologies, and emerging data sources, regulatory frameworks are undergoing significant updates to align with these advancements. This article explores recent revisions to the International Council for Harmonization (ICH) Guideline for Good Clinical Practice (GCP) E6(R3) and the regulatory perspectives on adopting a risk-proportionate approach to trial design and conduct. Drawing from insights shared at the FDA-MHRA-HC 2024 Joint GCP Symposium, this article highlights the key themes shaping the future of clinical trials, including quality-by-design (QbD), risk proportionality, and cross-regulatory collaboration. Additionally, this article addresses the impact of the COVID-19 pandemic in accelerating trial innovations, such as the use of decentralized trial elements and digital health technologies (DHTs), while also emphasizing the need for regulatory flexibility to accelerate their adoption. Regulatory agencies, such as the US-FDA, MHRA-UK, and Health Canada, have issued guidance to promote clinical trial flexibilities and proportionate, risk-based approaches, ensuring the protection of participant rights, safety, and well-being and overall reliability of trial results. These updates advocate for proportionate approaches to trial oversight, which allow for innovation while safeguarding the trial's critical to quality factors. As regulators continue to refine their practices and enhance collaboration, the integration of QbD and risk proportionality into clinical trials and cross-regulatory collaboration will ultimately drive more efficient, participant-centered trials and improve the global clinical research landscape.

This paper presents a theoretical and methodological analysis of current approaches to the issue of emotional burnout among students in higher medical education. It outlines the requirements for implementing health and recreational technologies as supportive tools in students’ educational processes, with the aim of preventing emotional burnout syndrome. Theoretical foundations for the use of modern health and wellness technologies in addressing emotional burnout are examined, and the results of an empirical study are also provided. The authors explore the theoretical and methodological principles underlying the study of emotional burnout in higher education students. Ukraine is currently experiencing a difficult historical period as it works to consolidate its national integrity. The accelerated pace of socio-economic development brought about by martial law, along with ongoing political instability and rapidly shifting social trends, place significant psychological pressure on all layers of Ukrainian society. Student youth, as an integral part of this society, are particularly affected by these transformations and face growing challenges in the process of socialization. The need for rapid adaptation to new and often harsh realities has complicated the professional development of today’s students. Due to age-related characteristics and the particular way in which young people perceive their environment, students are especially vulnerable to a wide range of stressors. These include the academic pressures of higher education, the demands of acquiring professional competencies, and the ongoing process of identity formation. Among the most significant stressors is social evaluation, which follows individuals throughout their conscious lives and intensifies during formative academic years. Difficulties related to mastering complex professional knowledge, internalizing practical skills, and coping with uncertainties about future employment, all within the context of an unstable labor market, generate persistent emotional tension. This, in turn, contributes to the development of emotional burnout syndrome. The relevance of this issue is evident and timely, especially under the conditions of contemporary Ukrainian society. It has thus defined the focus of our scientific investigation. In this context, there is an urgent need for comprehensive research that examines emotional burnout syndrome in students of higher education institutions and for the development of an effective, multifaceted system of preventive strategies. These strategies should be aimed at identifying and mitigating the initial symptoms of emotional burnout and preventing their progression. Modern health and recreational technologies can serve as essential components of such a system, promoting both psychological resilience and overall well-being in student populations during times of national crisis.

Health education and promotion have evolved from didactic, paternalistic practices to participatory, empowerment-driven processes that emphasize community agency and interdisciplinary collaboration. Engineering, with its problem-solving orientation and innovation potential, plays a critical role in this evolution. This paper examines how engineering strategies can be effectively integrated into health education and promotion to enhance health literacy, reduce inequalities, and improve population-level health outcomes. Through a review of theoretical frameworks, technological applications, community engagement models, and case studies, the paper illustrates how engineering supports evidence-based interventions, facilitates sustainable implementation, and strengthens health systems globally. Challenges such as limited health promotion literacy, stakeholder resistance, and technological disparities are also examined. Ultimately, this research underscores the need for data-driven, community-informed, and technologically adaptive engineering strategies to future-proof health education initiatives and build resilient health-promoting environments. Keywords: Health Education, Health Promotion, Engineering Strategies, Health Literacy, Community Engagement, Technology in Health.

Chronic sinusitis with nasal polyps (CRSwNP) has a relatively high recurrence rate, seriously affecting the quality of life of patients. Neuroinflammation interacts with the persistent inflammatory state of the nasal mucosa. This study aims to explore the application value of medical thermal imaging technology in predicting postoperative recurrence of nECRSwNP, and to evaluate potential biomarkers and efficacy assessment methods for neuroinflammation treatment, with the expectation of providing new strategies for reducing postoperative recurrence rates and improving the quality of life. Medical thermal imaging technology can monitor the temperature changes of nasal mucosa in real time and promptly detect alterations in inflammatory activity. The levels of EOS and cytokines in peripheral blood can serve as potential biomarkers for evaluating the status of neuroinflammation, which is helpful for identifying patients with a higher risk of recurrence, thereby enabling timely adjustment of treatment plans and improving the pertinence and effectiveness of neuroinflammation treatment.