Need For Training Research Articles

University students’ views on the application of virtual reality in higher education

This study analyzes the perception of university students regarding the use of virtual reality (VR) in higher education, focusing on their level of knowledge, usage, perceived advantages and disadvantages, as well as their willingness to use this technology in the future. Using a mixed-methods approach that combines questionnaires and semi-structured interviews, both quantitative and qualitative data were collected to provide a comprehensive view of the subject. The results indicate that while students have a basic understanding of VR, its use in the educational context is limited. A considerable number of students recognize VR’s potential to enhance the learning experience, particularly in terms of immersion and engagement. However, significant barriers to adoption were identified, such as technical issues, the high cost of equipment, and inadequate access to technological infrastructure. Additionally, there is a need for broader training for both students and faculty to ensure the effective use of this technology in academic environments. The semi-structured interviews confirmed that perceptions of VR vary depending on prior exposure to the technology and access to resources. Despite the challenges, most students appreciate VR’s potential to enrich learning, although its effective adoption will depend on overcoming the identified barriers. The study concludes that strategies must be implemented to facilitate the integration of VR into higher education, thus optimizing its impact on the teaching-learning process.

A mixed methods study of student pharmacist perceptions of their confidence and competence in the provision of clinical assessment

Abstract Introduction Pharmacist involvement in clinical assessment or examination has recently come into the focus in the United Kingdom with the transition of the pharmacy workforce to prescribers. Clinical assessment starts with the collection of information on an individual’s past medical history and clinical presentation, and the interpretation of tests, observations, and physical assessments to inform a differential diagnosis.1 The range of clinical skills student pharmacists gain from placements during the MPharm is variable and shaped by local demands for pharmacy services. Therefore, there is a need for additional training on clinical assessment skills in classroom teaching.2-4 Aim To identify student pharmacist perceptions and beliefs on their competence in conducting clinical assessment. Methods Ethics approval for this research study was granted by the Strathclyde Institute of Pharmacy and Biomedical Sciences Ethics Committee and conducted between October-December 2023. A mixed-methods study was conducted using a survey and focus group discussions developed from the literature and validated through discussion to collect student pharmacist perceptions of the role of the pharmacist and current gaps/barriers to pharmacist provision of clinical assessments. Students from all years of the MPharm were invited by email to participate (n=615). Audio recordings captured from focus group discussions were thematically analysed to identify key themes. Results Four focus groups were held with a total of 30 students. There were 89 respondents to the online survey (119 in total). Across both approaches, five key themes were identified from the survey and four from the focus group interviews. These themes centred around student pharmacist perceived role of the pharmacist, time and technical resources available in the pharmacy workplace, and the current curriculum. Most students agreed that such clinics would be beneficial to their training. Discussion and Conclusions Student-led clinics are gaining popularity as a work-based approach to learning. We found varied perceptions of the pharmacist’s role by participant response, suggesting that the clinical nature of pharmacy as a profession must be highlighted to prospective students to ensure those entering the profession are aware of the responsibilities they may be required to undertake. A limitation of this study is that student perceptions reflect the views of a single institution. Careful design of future clinics is required to ensure their seamless integration in the existing MPharm curriculum, in a realistic setting reflecting the workplace, and sufficient support from practitioners to implement them. Future work in this area should focus on how clinical assessment skills should be learned and assessed in student populations.

Teachers' Perceptions of Integrating ChatGPT in Nepalese Classrooms

This article explores teachers' perceptions of integrating ChatGPT in Nepalese classrooms. Using a qualitative research design, the study examines the viewpoints and experiences of teacher participants to gain an understanding of context, meanings, and subjective perspectives using ChatGPT. In-depth interviews were conducted with five teacher educators and five school teachers, capturing insights from both university and school classroom environments. Purposive sampling ensured the deliberate selection of participants from the Faculty of Education, Tribhuvan University and schools in the Kirtipur municipality. The data analysis involves transcription, translation, coding, decoding, and the creation of themes, sub-themes, and categories, enabling an exploration of the study's issues. The study found that teachers perceive ChatGPT as a useful tool for deepening classroom instruction, particularly in providing personalized learning experiences. However, concerns were raised regarding the potential over-reliance on the technology, emphasizing the need for proper training and guidelines to ensure its effective integration in Nepalese educational settings. This study contributes valuable insights for educators and teachers interested in integrating ChatGPT into educational settings, with the ultimate goal of informing the development of strategies for the effective use of this technology in Nepalese classrooms.

Continual Learning and Adaptation In Resource-Constrained Environments (CLAIRE)

As climate-related extreme events continue to increase and impact the world, of particular importance are the threats posed to food, agriculture, and water (FAW) systems. Deep learning could benefit FAW systems for classification of threats and for forecasting potential future events given historical patterns. However, many FAW systems are faced with operational environments that are resource-constrained, which could present challenges in deploying deep learning models. Continual learning offers a way to overcome certain deployment challenges by enabling deep learning models that are more robust to data distribution changes, without the need for GPUs or off-line training. We describe a continual learning approach to forecasting extreme air quality events developed for the National Oceanic and Atmospheric Administration to provide operational air quality guidance to the Continental United States. We describe how this deep learning model is resilient to future data distribution changes by performing curriculum learning, and how it can be deployed as a continual learner, offering better predictive performance for resource-constrained environments.

Evaluation of a trauma-informed care (TIC) training program across community health centers in Texas: a qualitative study

BackgroundIn April 2019, Texas Association of Community Health Centers launched the Trauma-Informed Care (TIC) program in community health centers across Texas. This initiative aimed to transform organizational culture for consistent delivery of TIC by providing training and coaching opportunities for Trainers and Champions in each health center. This study is an interim qualitative evaluation to gain participants’ insights into their experiences of and perceptions about TIC training as part of the TIC initiative.MethodsWe conducted semi-structured key informant interviews via Zoom with Trainers across four cohorts of participating health centers between February 2020 and April 2023. We used rapid assessment procedures to conduct analysis in tandem with data collection given the ongoing TIC training. We present salient quotes to illustrate the emergent themes.ResultsWe interviewed a total of 36 Trainers and identified the following emergent themes from the interviews: (1) Perceived need for the TIC training, (2) Perspective shift in patient care, (3) Increased support for staff wellness, (4) Importance of equal involvement of staff at all levels, (5) Need for leadership buy-in, and (6) Lack of self-efficacy and empowerment to train others.ConclusionsA trauma-informed environment in a healthcare setting can bolster patient-centered care as well as a culture of staff wellness. This qualitative evaluation revealed that after TIC training, Trainers had improved attitudes and behaviors to commit to organizational TIC transformation to prevent unintended consequences of trauma for both patients and staff. Trainers’ experiences with and suggestions for enhancing the TIC training should be considered for training future cohorts as they continue to strive for TIC transformation in their health centers.

ELT Student Teachers’ Acceptance and Knowledge Base of Integrating Virtual Reality into Task-Based Contexts

This qualitative study explored the acceptance and knowledge base of English language teaching (ELT) student teachers regarding the incorporation of virtual reality (VR) into oral tasks to promote learner engagement within the framework of task-based language teaching (TBLT). Twenty-six ELT student teachers, pursuing their Master of Arts degree at a university in Hong Kong, were interviewed about their acceptance of VR oral tasks and assessed on their knowledge of task engagement and VR. Content analysis, guided by the technology acceptance model and the technological pedagogical and content knowledge (TPACK) framework, was conducted to analyse their interview data. The findings indicated their acceptance of VR-based oral tasks, based on their overall positive perceptions of VR, and confirmed their existing pedagogical knowledge of task engagement. However, their concerns regarding the effectiveness of VR-based oral tasks were influenced by their insufficient TPACK. The findings highlight their urgent need for professional training, not only to enhance VR experiential opportunities but also to learn how to develop teaching materials that integrate VR.

IShapEditing: Intelligent Shape Editing with Diffusion Models

AbstractRecent advancements in generative models have enabled image editing very effective with impressive results. By extending this progress to 3D geometry models, we introduce iShapEditing, a novel framework for 3D shape editing which is applicable to both generated and real shapes. Users manipulate shapes by dragging handle points to corresponding targets, offering an intuitive and intelligent editing interface. Leveraging the Triplane Diffusion model and robust intermediate feature correspondence, our framework utilizes classifier guidance to adjust noise representations during sampling process, ensuring alignment with user expectations while preserving plausibility. For real shapes, we employ shape predictions at each time step alongside a DDPM‐based inversion algorithm to derive their latent codes, facilitating seamless editing. iShapEditing provides effective and intelligent control over shapes without the need for additional model training or fine‐tuning. Experimental examples demonstrate the effectiveness and superiority of our method in terms of editing accuracy and plausibility.

Enhancing emergency preparedness and disaster management: perceptions from high-fidelity simulation workshops for pharmacy students

Abstract Introduction As climate change intensifies, natural disasters like floods and disease outbreaks increase, straining communities worldwide. During emergencies, healthcare professionals are crucial for ensuring essential healthcare services despite limited access to medicines and facilities. Pharmacists are vital in safeguarding medicine supply chains, providing pharmaceutical care, and aiding in emergency response, which emphasizes the need for thorough preparation during their training1,2. However, little is currently taught on emergency preparedness in undergraduate pharmacy curricula3. Therefore, two emergency preparedness workshops, on a flood scenario and bioterrorism with anthrax, were co-created between academics and 3rd year students from Master of Pharmacy (MPharm) Programme at the University of Nottingham. These workshops were offered as a volunteer learning opportunity and final year and 3rd year MPharm students were invited. Aim The study aimed to explore final-year and 3rd year MPharm students’ perspectives on the high-fidelity simulation workshops of emergency preparedness. It seeks to assess their perceived readiness for pharmacy practice in emergency scenarios and how the workshops contributed to enhancing confidence and competence in disaster response. Methods Data were collected through a focus group, with semi-structured questions. All attendees of the co-created emergency preparedness workshops were invited to the focus group right after the workshops. With their consent, the focus group discussion was audio-recorded and transcribed verbatim, and analysed using thematic analysis. The discussions focused on the participants' opinions of the high-fidelity simulation workshops and their perceived preparedness for pharmacy practice in emergencies. This study does not require ethical approval. Results The study included five participants: three final-year and two 3rd year MPharm students. Five themes were developed, including: 1. ‘High engagement’: Participants defined workshops as enjoyable, highly engaging, with diverse, hands on, student-led activities. 2. ‘Upskilling by immersion’: Exploration of the pharmacist’s role during disaster scenarios was seen as helpful for participants' preparedness, especially in decision-making and facing ethical dilemmas. 3. ‘Lack of realism’: As a perceived challenge, they noted that high-fidelity simulations mirrored regular MPharm training, lacking the pressure of real emergencies. They recommended more closely simulating real disaster scenarios, particularly in the flood workshop. 4. ‘Insufficient briefing/debriefing’: Participants missed a briefing providing details about the activities, such as specifics of the disaster scenario, and feedback on performance to boost confidence. 5. ‘Partial confidence’: Despite improved preparedness, students lacked full confidence in handling emergencies. They emphasized the need for additional training, alongside the realism and feedback enhancements previously suggested, to bolster their confidence further. Discussion / Conclusion Incorporating high-fidelity simulations into pharmacy education is important for preparing students to manage real-life emergencies. MPharm students regularly experience realistic simulations in common pharmaceutical practices, which shapes their perception of the workshops. This familiarity raises their expectations but also provides a solid basis for evaluation. They found the workshops highly engaging and beneficial for developing essential skills. However, they identified gaps in realism and debriefing processes that impacted their confidence and perceived readiness. Addressing these issues and providing repeated training could significantly boost students' confidence and competence in emergency preparedness, ultimately strengthening their role in disaster response.

Harnessing Artificial Intelligence to Transform Secondary Education in India: Innovations, Challenges, and Future Directions

India's National Education Policy (NEP) 2020 envisions a comprehensive education system that is inclusive, fair, and geared towards lifelong learning. Artificial Intelligence (AI) has a pivotal role in achieving these goals by enhancing personalized learning experiences, streamlining assessments, and promoting inclusivity within secondary education. This paper explores the integration of AI in Indian secondary education, analyzing its alignment with NEP 2020 objectives. It highlights AI innovations, such as adaptive learning platforms and automated grading systems, while also addressing challenges like data privacy, infrastructure limitations, and the need for teacher training. Through a review of recent literature and case studies, this paper offers recommendations for the responsible adoption of AI in India, underscoring the importance of policy support, ethical standards, and regional infrastructure development.

Bridging Public Health Research and State-Level Policy: The Texas Research-to-Policy Collaboration Project.

Significant barriers to the implementation of evidence-based policy exist. Establishing an infrastructure and resources to support this process at the state level can accelerate the translation of research into practice. This study describes the adaptation and initial evaluation of the Texas Research-to-Policy Collaboration (TX RPC) Project, focusing on the adaptation process, legislative public health policy priorities, and baseline researcher policy knowledge and self-efficacy. The federal Research-to-Policy Collaboration (RPC) method was adapted to the Texas legislative process in 2020. Policymakers and public health researchers were recruited using direct outreach and referrals. Legislators or their aides were interviewed to determine health policy needs, which directed the development of legislator resources, webinars, and recruitment of additional public health researchers with specific expertise. Researchers were trained to facilitate communication with policymakers, and TX RPC Project staff facilitated legislator and researcher meetings to provide data and policy input. Baseline surveys were completed with legislators to assess the use of health researchers in policy. Surveys were also administered before training to researchers assessing self-efficacy, knowledge, and training needs. Qualitative data from the legislator interviews were analyzed using inductive and deductive approaches. Quantitative survey data were analyzed using descriptive statistics for scales and individual survey items. Legislative offices (n = 21) identified health care access, mental health, and health disparities as key health issues. Legislators reported that health data were important but did not actively involve researchers in legislation. Researchers (n = 73) reported that policy informed their work but had low engagement with legislators. Researcher training surveys indicated lower policy self-efficacy and knowledge and the need for additional training. Adaptation of the RPC model for state-level health policy is feasible but necessitates logistical changes based on the unique legislative body. Researchers need training and resources to engage with policymakers.

Experiences of physiotherapists working with adults living with Long COVID in Canada: a qualitative study

ObjectivesTo explore experiences of physiotherapists working with adults living with Long COVID in Canada.DesignCross-sectional descriptive qualitative study involving online semi-structured interviews.ParticipantsWe recruited physiotherapists in Canada who self-identified as having clinically...

Power and racial differences in the communication experiences of Black and White patients living with advanced cancer and their care partners: An application of co-cultural theory

ABSTRACT We investigated power imbalances in racially discordant medical interactions in the context of advanced cancer care within the United States. We applied co-cultural theory to the transcripts of 43 interviews conducted with Black and White cancer patients and their care partners. We found Black patients and care partners perceived providers as dismissing their concerns. In response, they engaged in extensive preparation, rationalization, and utilizing liaisons. White patients and care partners recognized and took advantage of their privilege and utilized liaisons. Some patients acquiesced and conferred with others in response to power enacted by oncologists. We concluded co-cultural theory is useful in explaining what occurs in racially discordant patient-provider interactions. Our findings highlight the need for provider communication and de-biasing training. Trial registration: ClinicalTrials.gov identifier: NCT03780816..

Applied Learning in Advanced Asylum Medicine: Piloting Experiential Learning in Forensic Medical Evaluations.

Asylum medicine clinics that train clinicians to conduct forensic medical and mental health evaluations (FME) have proliferated in the United States, but there is still significant unmet need in training. We created a 12-week curriculum to develop the core skills needed to conduct effective, trauma-informed FME. Our course used a "flipped classroom" model; participants reviewed didactics in advance from a national, peer-reviewed training program, the Asylum Medicine Training Initiative, and used in-class time for case-based practice as experiential learning. Participants completed feedback surveys after each session in addition to pre-and post-course assessments. Sixteen clinicians with diverse geographic, professional, and demographic backgrounds participated in the course from January-March 2023. The three key themes that emerged from qualitative feedback were high participant satisfaction with the course model; participant desire for additional opportunities for practice; and participant desire for community-building. Post-course surveys showed that most participants felt only "somewhat comfortable" with the core skills emphasized in the course. Taken together, these findings suggest that curricula in asylum medicine should focus on experiential learning, skills practice, and building longitudinal mentorship. This curriculum is an innovative educational model that differs from the traditional didactic training that has been the mainstay in asylum medicine education. The curriculum is replicable and can be tailored to local environments or broad virtual communities.

A review of the role of artificial intelligence in Journalism

Artificial intelligence (AI) technologies have revolutionized journalism in the digital era. This study is constructed on a general literature review revealing the role of AI in journalism and emphasizes the following key facets: (i) automated reporting, (ii) automated content creation, (iii) automated transcription and translation, (iv) data mining and analysis, (v) fact-checking and verification, and (vi) content personalization. The role of AI is observed in creating news reports like financial digests, sports outcomes, and weather updates, gearing up the automated content creation, transcribing the interviews, providing multilingual support for content translation, data mining and analysis, detecting fake news, personalizing the content in line with audience's preferences. The wide application of AI in journalism automates routine journalistic tasks, thereby improving efficacy and productivity and saving time and effort. Though AI is transforming journalism, there are several challenges facing journalism using AI, including biased algorithms, data availability and quality, data privacy and security, the need for training and education, transparency, and cost concerns. Journalists must be trained to identify and address issues such as data privacy, algorithmic bias, and the ethical implications of adopting AI in news reporting. News agencies should also implement strong data protection measures and transparent AI algorithms to overcome these challenges. They must attain a balance between considering user privacy and offering personalized content. It is paramount to have robust regulatory frameworks to oversee the utility of AI in journalism. Also, warranting ethical standards in AI implementation is crucial to preserving journalistic integrity.

Construction Safety Management: Analyzing the Effectiveness of Safety Training Programs on Job Sites

Occupational injuries and fatalities at work are a worldwide problem, particularly in the construction industry. With technological progression, construction sites are still extremely high risk environments where workers put themselves at the mercy of many hazards. They have emerged as a critical part of reducing these risks and the safety of the workers. In this paper, I examine in detail the effectiveness of safety training programs in controlling job site hazards with an emphasis on accident reduction, behavioral changes, and safety culture. The paper looks at different types of training programs, the conventional classroom-based instruction, on the job training and innovative programmes such as virtual reality (VR) and simulation based training programmes. The paper also discusses the challenges, including language barriers and the need for site specific training, and suggests approaches for enhancing safety training practice to encourage a good safety culture among construction practitioners. Keywords Construction Safety, Job Site Hazards, Safety Training, Accident Prevention, Worker Behavior, Safety Compliance, Risk Management, OSHA Standards, Safety Management Systems, Safety Culture.

Importância da Enfermagem na Implementação de Protocolos de Cuidado Integral para Gestantes com Pré-Eclâmpsia: Estratégias e Desafios

Introduction: The article investigates the importance of nursing in the implementation of comprehensive care protocols for pregnant women with preeclampsia, highlighting the strategies adopted and the challenges faced by healthcare professionals. Objective: Analyze the importance of nursing in implementing comprehensive care protocols for pregnant women with pre-eclampsia, highlighting the strategies used and the challenges faced. Methodology: This study was developed based on a bibliographical review of scientific literature and national and international guidelines on the management of pre-eclampsia, as well as practical case studies and reports from health units. The search was carried out in the PubMed, Scielo and Google Scholar databases, using the following descriptors: “pre-eclampsia”, “integral care”, “nursing”, “pregnant women” and “health protocols”, where as inclusion criteria Of the articles selected for data collection, we delimited the period from 2014 to 2024, which was in accordance with the present study. Data collection was carried out from July to October 2024, on the other hand, productions that were unrelated or did not correspond to the theme were excluded. Results: Evidence suggests that there are significant challenges in clinical practice, such as a lack of resources and the need for ongoing training, which hinder the effective implementation of care. Furthermore, it was also observed that the pregnant woman’s lack of knowledge regarding her condition, poor appreciation of the work of health professionals and operational challenges faced by nursing are obstacles that directly impact the quality of care and their satisfaction. Conclusion: The adoption of comprehensive protocols improves clinical results and better meets the needs of pregnant women, highlighting the relevance of nursing in promoting maternal-fetal health and well-being.

Information seeking behaviour of informal caregivers at the premier tertiary teaching hospital in Nigeria

This study was conducted to examine the information behaviour of informal caregivers in a university college hospital in Ibadan, Nigeria. Informal caregivers in the teaching hospitals constitute critical pubic health care players whose information behaviours have not been studied. Data was collected from 208 caregivers using a questionnaire that consisted of structured and open-ended questions. The study found that healthcare providers were the primary source of health for caregivers, with 34.1% actively seeking information from them. The caregivers seldom utilised sources like the internet, community organizations, books, family, and friends. The preference for healthcare providers as sources is due to their accessibility and ability to provide prompt and accurate answers. Caregivers have diverse information needs, including medication-related information, first aid techniques, nutrition, exercise, mental health, and lifestyle choices. They seek this knowledge to make informed decisions that improve their loved ones’ well-being. The study also revealed that caregivers heavily rely on information technology for health information due to its accessibility and reliability. The study highlights the need for ongoing training and proactive information sharing by healthcare providers to better support informal caregivers in Nigeria, emphasizing the importance of integrated support systems within healthcare facilities. To meet diverse information needs, healthcare institutions should diversify dissemination strategies, including culturally sensitive materials and digital literacy programs, while developing tailored mobile applications and online support communities for caregivers. Policymakers must focus on creating supportive healthcare policies, funding caregiver programs, and expanding insurance coverage to alleviate financial burdens, ensuring that caregivers have access to necessary resources and information.

Enhanced Curvature-Based Fabric Defect Detection: A Experimental Study with Gabor Transform and Deep Learning

Quality control at every stage of production in the textile industry is essential for maintaining competitiveness in the global market. Manual fabric defect inspections are often characterized by low precision and high time costs, in contrast to intelligent anomaly detection systems implemented in the early stages of fabric production. To achieve successful automated fabric defect identification, significant challenges must be addressed, including accurate detection, classification, and decision-making processes. Traditionally, fabric defect classification has relied on inefficient and labor-intensive human visual inspection, particularly as the variety of fabric defects continues to increase. Despite the global chip crisis and its adverse effects on supply chains, electronic hardware costs for quality control systems have become more affordable. This presents a notable advantage, as vision systems can now be easily developed with the use of high-resolution, advanced cameras. In this study, we propose a discrete curvature algorithm, integrated with the Gabor transform, which demonstrates significant success in near real-time defect classification. The primary contribution of this work is the development of a modified curvature algorithm that achieves high classification performance without the need for training. This method is particularly efficient due to its low data storage requirements and minimal processing time, making it ideal for real-time applications. Furthermore, we implemented and evaluated several other methods from the literature, including Gabor and Convolutional Neural Networks (CNNs), within a unified coding framework. Each defect type was analyzed individually, with results indicating that the proposed algorithm exhibits comparable success and robust performance relative to deep learning-based approaches.

A quantitative needs assessment for a tele-ultrasound consult program in a tertiary care Emergency Department.

Point-of-care ultrasound (POCUS) has been shown to be beneficial in facilitating patient care, but its adoption is variable among emergency medicine (EM) clinicians. We identified the patterns of POCUS use and gaps in POCUS integration in a tertiary care emergency department (ED). These data provide a user-centered platform for subsequent development of a tele-ultrasound (tele-US) consultation program. We developed a 25-item needs assessment survey and used a 5-point Likert scale to assess current patterns of POCUS use and potential needs for POCUS among EM clinicians. Data were analyzed descriptively, and a chi-square analysis was used to assess for differences in POCUS use and comfort levels among clinicians. Overall, 48% (91/190) of eligible providers responded to the survey. Clinician responders included 38% (35/91) attendings (including fellows), 29% (26/91) residents, and 33% (30/91) advance practice providers (APPs). In assessing needs, 70% (58/83) of clinicians noted they would use POCUS more if they had more training. 76% (63/83) of clinicians felt comfortable with image acquisition and 68% (56/83) with image interpretation. APPs were less comfortable with POCUS image interpretation and clinical integration of POCUS findings compared to residents (χ2: 16.3, p < 0.0001 and χ2: 5.1, p = 0.02, respectively). 65% (54/83) of clinicians would use POCUS more if real-time supervision via tele-US was available for image acquisition and image interpretation. EM clinicians indicated a substantial need for further real-time POCUS training and supervision, especially for image interpretation. A clinician-centered strategy, such as tele-US, has potential to increase proficient use of POCUS.

THE IMPACT OF TELEMEDICINE ON ACCESS TO PRIMARY CARE

The COVID-19 pandemic has driven the implementation of telemedicine as a solution for maintaining access to healthcare, transforming the primary care landscape in many parts of the world. In Brazil, telemedicine has established itself as an essential tool for overcoming geographical and social barriers, facilitating access to basic care for populations that traditionally faced difficulties in accessing health services. This study seeks to investigate the impact of telemedicine on access to primary care, analyzing its main challenges and opportunities in the context of post-pandemic primary care. This study seeks to analyze the impact of telemedicine on access to primary care, exploring the main challenges and opportunities that arise with this modality of care. It also aims to identify practices and policies that can strengthen the implementation of telemedicine in Primary Care, ensuring that remote care is effective, safe and inclusive. This is a literature review, based on a qualitative approach, using the Scielo, Google Scholar and PubMed databases. To refine the research, the health descriptors “telemedicine”, “primary care”, “COVID-19”, and “equity in access to health” were selected, with a time frame between 2021 and 2023. Through a literature review, the study explores recent data on telemedicine in primary care, focusing on the main opportunities it offers, such as improved access and efficiency of services, as well as the challenges, including limited technological infrastructure in poor regions, privacy and confidentiality issues, and the need for adequate training for health professionals. Telemedicine enables more agile care and coverage of a larger population, but still faces obstacles related to digital accessibility and maintaining quality and continuity of care, especially for vulnerable groups. Telemedicine has therefore proved to be a strategic tool for expanding access to primary care, offering a viable alternative for reducing gaps in primary care. However, in order to maximize its impact, it is essential to overcome the technological challenges, guarantee information security and train health professionals in this new type of care. The continued use of telemedicine in the post-pandemic context presents an opportunity to strengthen the Unified Health System (SUS) in Brazil, expanding the reach of primary care and promoting greater equity in access to health.