Identifying innovations produced by primary health care centers and evaluating their scalability: the SPRINT Occitanie cross-sectional study in France.

BACKGROUND: Practice-based research is one of the levers identified by the World Health Organization (WHO) to strengthen primary health care. The scaling of health and social care innovations has the potential to reduce inequities in health and to expand the benefits of effective innovations. It is now rapidly gaining the attention of decision-makers in health and social care, particularly in high-income countries. To meet the challenge of declining numbers of primary care physicians in France, Multi-professional Healthcare Centers (MHC) were created to bring together medical and paramedical professionals. They are a source of innovation in meeting the health challenges facing our populations. Specific methodology exists to identify health innovations and assess their scalability. A working group, including end-users and specialists, has adapted this methodology to the French context and the University department of general practice of Montpellier-Nîmes (France) launched a pilot study in Occitanie, a French region. OBJECTIVE: To identify and evaluate the scalability of innovations produced in pluri-professional healthcare centers in the Occitanie region. METHODS: A pilot, observational, cross-sectional study was carried out. The SPRINT Occitanie study was based on a questionnaire with two sections: MHC information and the modified Innovation Scalability Self-Administered Questionnaire (ISSaQ), version 2020. The study population was all 279 MHC in the Occitanie region. RESULTS: 19.3% (54) of MHC in the Occitanie region, responded fully or incompletely to the questionnaire. Four out of 5 U-MHCs were represented. Five MHC presented multiple innovations. The average per MHC was 1.94 (± 2.4) innovations. 26% of them (n = 9) had high scalability, 34% (n = 12) medium scalability and 40% (n = 14) low scalability. The main innovation represented (86%) were healthcare program, service, and tool. CONCLUSIONS: In our cross-sectional study, a quarter of the innovations were highly scalable. We were able to demonstrate the importance of MHC teams in working on primary care research through the prism of innovations. Primary-care innovations must be detected, evaluated, and extracted to improve their impact on their healthcare system.

Roger's diffusion of innovations theory and the adoption of a patient portal's digital anamnesis collection tool: study protocol for the MAiBest project.

BACKGROUND: German hospitals are legally obliged to implement digital patient portals within the next years. Systematic reviews show that the use of patient portals may be associated with improved patient-centeredness and workflows. However, mandatory digital healthcare innovations are sometimes not used by the target group as planned or even completely rejected. Based on Roger's theory of innovation diffusion, it can be assumed that the time factor is of particular importance for the adoption of the patient portal. The aim of the project is to assess determinants of patient portal adoption and to examine whether Roger's theory can be confirmed. METHODS: The project investigates the use of the patient portal in three different clinics of a large academic teaching hospital in Germany using a longitudinal study design with three cross-sectional time points (pre, post, post). Doctors and patients are surveyed about factors that predict the use of the patient portal and whether the strength of these factors changes over time. They are also interviewed about possible barriers they experience when using the patient portal or about the reasons why the patient portal is not used. Regression models and content analyses are used to answer the research questions. DISCUSSION: Determinants of patient portal use will be discussed under the light of the temporal component of Roger's theory. At the same time, it is expected that some determinants will remain unchanged over time. Identifying determinants independent of time allows targeting the groups, enabling specific communication strategies to empower these groups to use the patient portal, contributing to an equal health care system. TRIAL REGISTRATION: The study was prospectively registered in the German register of clinical trials (DRKS00033125) in May 2024.

Early Impressions and Adoption of the AtriAmp for Managing Arrhythmias Following Congenital Heart Surgery.

AtriAmp is a new medical device that displays a continuous real-time atrial electrogram on telemetry using temporary atrial pacing leads. Our objective was to evaluate early adoption of this device into patient care within our pediatric intensive care unit (PICU). This is a qualitative study using inductive analysis of semi-structured interviews to identify dominant themes. The study was conducted in a single-center, tertiary, academic 21-bed mixed PICU. The subjects were PICU multidisciplinary team members (Pediatric Cardiac Intensivists, PICU Nurse Practitioners, PICU nurses and Pediatric Cardiologists) who were early adopters of the AtriAmp (n = 14). Three prominent themes emerged: (1) Accelerated time from arrhythmia event to diagnosis and treatment; (2) Increased confidence in the accuracy of providers' arrhythmia diagnosis; and (3) Improvement in the ability to educate providers about post-operative arrhythmias. Providers also noted some learning curves, but none compromised medical care or clinical workflow. Insights from early adopters of AtriAmp signal the need for simplicity and fidelity in new PICU technologies. Our research suggests that such technologies can be pivotal to the support and growth of multi-disciplinary teams, even among those who do not participate in early implementation. Further research is needed to understand when and why novel technology adoption becomes widespread in high-stakes settings.

Could social media be a game-changer in improving agricultural extension delivery in Ghana?

In this study, we set out to investigate the transforming power of social media for agricultural extension delivery services in Ghana. We employed a quantitative research approach and drew insights from 374 farmers. We used descriptive and inferential statistics to analyse the data. Cocoa farmers have some level of awareness of agricultural information on social media (Overall Mean = 1.88). Farmers regard social media platforms as potential sources of agricultural information (Perception Index = 3.38). Majority of farmers own smartphones (53.74 %) and have internet access (53.74 %). About 31.86 % of farmers spend 30 min to 1 h daily time browsing social media for agricultural information. About 57.65 % use social media for accessing agricultural information and implementing farming practices. According to 89.38 % of farmers, social media information helps to improve crop yield and pest management. The main constraint facing farmers in the use of social media is high data costs (Mean = 7.30). We recommend that the government in collaboration with telecommunication companies should explore innovative pricing models to reduce the cost barrier for farmers accessing agricultural content online.

Exploring the adoption of concept-based curricula: insights from educators and implications for change.

Concept-based approaches to curriculum design have been proposed to solve content and curricula overload and promote conceptual learning. Few health professions have adopted this approach and little is known about how to support this educational change. We aimed to understand how nutrition and dietetics educators may navigate proposed education change towards concept-based curricula. We employed an interpretivist approach and in-depth interviews that explored the views of nutrition and dietetic educators towards using a concept-based approach to curriculum. Employing deductive thematic analysis based on the diffusion of innovation theory, data from twenty experienced dietetics educators were analysed. Three main themes were identified; the need for change champions, concerns about change, and the complexity of the education system. Diffusion of innovation theory highlighted that to enact change, the relative advantage and compatibility of the approach with current structures and systems, with evidence from trialling and observing the new approach in action, were needed. Developing education leaders and infiltrating the social system of education through existing communities of practice is critical to enacting educational change.

Implementation of Agile in healthcare: methodology for a multisite home hospital accelerator.

BACKGROUND: The diffusion of innovation in healthcare is sluggish. Evidence-based care models and interventions take years to reach patients. We believe the healthcare community could deliver innovation to the bedside faster if it followed other sectors by employing an organisational framework for efficiently accomplishing work. Home hospital is an example of sluggish diffusion. This model provides hospital-level care in a patient's home instead of in a traditional hospital with equal or better outcomes. Home hospital uptake has steadily grown during the COVID-19 pandemic, yet barriers to launch remain for healthcare organisations, including access to expertise and implementation tools. The Home Hospital Early Adopters Accelerator was created to bring together a network of healthcare organisations to develop tools necessary for programme implementation. METHODS: The accelerator used the Agile framework known as Scrum to rapidly coordinate work across many different specialised skill sets and blend individuals who had no experience with one another into efficient teams. Its goal was to take 40 weeks to develop 20 'knowledge products',or tools critical to the development of a home hospital programme such as workflows, inclusion criteria and protocols. We conducted a mixed-methods evaluation of the accelerator's implementation, measuring teams' productivity and experience. RESULTS: 18 healthcare organisations participated in the accelerator to produce the expected 20 knowledge products in only 32 working weeks, a 20% reduction in time. Nearly all (97.4%) participants agreed or strongly agreed the Scrum teams worked well together, and 96.8% felt the teams produced a high-quality product. Participants consistently remarked that the Scrum team developed products much faster than their respective organisational teams. The accelerator was not a panacea: it was challenging for some participants to become familiar with the Scrum framework and some participants struggled with balancing participation in the Accelerator with their job duties. CONCLUSIONS: Implementation of an Agile-based accelerator that joined disparate healthcare organisations into teams equipped to create knowledge products for home hospitals proved both efficient and effective. We demonstrate that implementing an organisational framework to accomplish work is a valuable approach that may be transformative for the sector.

Relationship between classic indicators of health behaviour and contraceptive choices in women in Flanders.

BACKGROUND: In this study we shed light on ongoing trends in contraceptive use in Flanders (Belgium). Building on the fundamental cause theory and social diffusion of innovation theory, we examine socio-economic gradients in contraceptive use and the relationship to health behaviours. METHODS: Using the unique and recently collected (2020) ISALA data, we used multinomial logistic regression to model the uptake of contraceptives and its association to educational level and health behaviour (N:4316 women). RESULTS: Higher educated women, and women with a healthy lifestyle especially, tend to use non-hormonal contraceptives or perceived lower-dosage hormonal contraceptives that are still trustworthy from a medical point of view. Moreover, we identified a potentially vulnerable group in terms of health as our results indicate that women who do not engage in preventive health behaviours are more likely to use no, or no modern, contraceptive method. DISCUSSION: The fact that higher educated women and women with a healthy lifestyle are less likely to use hormonal contraceptive methods is in line with patient empowerment, as women no longer necessarily follow recommendations by healthcare professionals, and there is a growing demand for naturalness in Western societies. CONCLUSION: The results of this study can therefore be used to inform policy makers and reproductive healthcare professionals, since up-to-date understanding of women's contraceptive choices is clearly needed in order to develop effective strategies to prevent sexually transmitted infections and unplanned pregnancies, and in which women can take control over their sexuality and fertility in a comfortable and pleasurable way.

Dissemination of scientific information through open access by research scientists in a developing country.

This study investigated the perceptions and factors that researchers had about Open Access (OA) publishing, specifically how it affected their decision to publish or not. The Diffusion of Innovation Theory by Rogers served as the study's main guide, and 15 research scientists from Ghana's Council of Scientific and Industrial Research's Crop Research Institute provided qualitative data for the study through semi-structured interviews and the interpretivist research paradigm. Convenience sampling was used to choose the participants, and thematic analysis was used to analyse and present the research results in themes. The study's conclusions showed that all of the participants benefited from OA and that they were all aware of its application for disseminating scientific information. High Article Processing Charges (APC) and credibility issues were also mentioned in the study as significant obstacles to using OA for the dissemination of scientific information. The study suggests that in order for scientists to use Open Access (OA) for the sharing of scientific information, they must be given the means to distinguish trustworthy journals from predatory ones.

Intention and preference to use long-acting injectable PrEP among MSM in the Netherlands: a diffusion of innovation approach.

Long-acting injectable pre-exposure prophylaxis (LAI-PrEP) is efficacious in preventing HIV among men-who-have-sex-with-men (MSM) and will be soon available in Europe. This study investigated the intention and preference to use LAI-PrEP among MSM in the Netherlands by employing a diffusion of innovation approach. This study had a cross-sectional design nested within a cohort study established in 2017 to understand oral PrEP use among MSM. 309 MSM completed the survey on their awareness, interest, intention, and preference for LAI-PrEP in June 2022. Among them, 83% showed high/very-high interest in, and 63% showed high/very-high intention to use LAI-PrEP. A repeated innovator effect from the early adopters to LAI-PrEP was not observed. Early adopters did not show increased intention to use LAI-PrEP compared to other MSM subgroups, but neither did PrEP-naïve nor PrEP-discontinued MSM. However, among the 218 current oral PrEP users, suboptimal adherence was associated with preference for LAI-PrEP but not with intention to use it. In conclusion, our findings indicated that an effective, available, and affordable LAI-PrEP would be welcomed in the Netherlands, but that its introduction may not significantly expand PrEP coverage. However, the introduction of LAI-PrEP in the Netherlands could prove beneficial to MSM with suboptimal adherence to oral PrEP.

Early Impressions and Adoption of the AtriAmp for Managing Arrhythmias Following Congenital Heart Surgery.

Objective: AtriAmp is a new medical device that displays a continuous real-time atrial electrogram on telemetry using temporary atrial pacing leads. Our objective was to evaluate early adoption of this device into patient care, understand how it affected clinical workflow, and identify unforeseen benefits or limitations. Design: Qualitative study using inductive analysis of semi-structured interviews to identify dominant themes. Setting: Single center, tertiary, academic 21-bed mixed pediatric intensive care unit (PICU). Subjects: PICU multidisciplinary team members (Pediatric intensivists, PICU Nurse Practitioners, PICU nurses and Pediatric Cardiologists) who were early adopters of the AtriAmp (n=14). Results: Three prominent themes emerged from qualitative analysis of the early adopters' experiences. (1) Accelerated time from arrhythmia event to diagnosis, treatment, and determination of treatment effectiveness; (2) Increased confidence and security in the accuracy of providers' arrhythmia diagnosis; and (3) Improvement in the ability to educate providers about post-operative arrythmias where reliance on time consuming consultation is a default. Providers also noted some learning curves with the device; none of which compromised medical care or clinical workflow. Conclusions: Insights from early adopters of AtriAmp signal the need for simplicity and fidelity in new technologies within the PICU. Further research in the qualitative and observational sphere is needed to understand how technologies, such as AtriAmp, find expanded use in the PICU environment. Our research suggests that such technologies can be pivotal to the support and growth of multi-disciplinary teams, even among those who do not participate in early implementation.

Blockchain technology diffusion in tourism: Evidence from early enterprise adopters and innovators.

The use cases of blockchain as an innovative technology have increasingly captured the attention of tourism enterprises. To date, the literature tends to discuss blockchain's advantages rather than how early enterprise adopters and innovators experience and perceive the technology. As such, the extent of technology diffusion is not well understood. This study critically explores the factors influencing blockchain diffusion in tourism and how blockchain innovation is diffused in tourism. We conducted semistructured interviews with founders and senior executives of tourism enterprises in the United States and Europe who are early adopters and innovators of blockchain in tourism. From the thematic analysis, our empirical findings indicate that blockchain has much to offer despite the nascent link between blockchain's business value to an enterprise's strategic plans and the limited success of use cases in tourism. We summarize the findings in a conceptual framework and offer propositions based on the antecedents (motivators and drivers and challenges and barriers) of blockchain diffusion of innovation for enterprises to achieve competitive advantage. The propositions provide a research agenda to guide the strategic implementation of blockchain.

Virtual reality technology for surgical learning: qualitative outcomes of the first virtual reality training course for emergency and essential surgery delivered by a UK-Uganda partnership.

INTRODUCTION: The extensive resources needed to train surgeons and maintain skill levels in low-income and middle-income countries (LMICs) are limited and confined to urban settings. Surgical education of remote/rural doctors is, therefore, paramount. Virtual reality (VR) has the potential to disseminate surgical knowledge and skill development at low costs. This study presents the outcomes of the first VR-enhanced surgical training course, 'Global Virtual Reality in Medicine and Surgery', developed through UK-Ugandan collaborations. METHODS: A mixed-method approach (survey and semistructured interviews) evaluated the clinical impact and barriers of VR-enhanced training. Course content focused on essential skills relevant to Uganda (general surgery, obstetrics, trauma); delivered through: (1) hands-on cadaveric training in Brighton (scholarships for LMIC doctors) filmed in 360°; (2) virtual training in Kampala (live-stream via low-cost headsets combined with smartphones) and (3) remote virtual training (live-stream via smartphone/laptop/headset). RESULTS: High numbers of scholarship applicants (n=130); registrants (Kampala n=80; remote n=1680); and attendees (Kampala n=79; remote n=556, 25 countries), demonstrates widespread appetite for VR-enhanced surgical education. Qualitative analysis identified three key themes: clinical education and skill development limitations in East Africa; the potential of VR to address some of these via 360° visualisation enabling a 'knowing as seeing' mechanism; unresolved challenges regarding accessibility and acceptability. CONCLUSION: Outcomes from our first global VR-enhanced essential surgical training course demonstrating dissemination of surgical skills resources in an LMIC context where such opportunities are scarce. The benefits identified included environmental improvements, cross-cultural knowledge sharing, scalability and connectivity. Our process of programme design demonstrates that collaboration across high-income and LMICs is vital to provide locally relevant training. Our data add to growing evidence of extended reality technologies transforming surgery, although several barriers remain. We have successfully demonstrated that VR can be used to upscale postgraduate surgical education, affirming its potential in healthcare capacity building throughout Africa, Europe and beyond.

Early technology review: towards an expedited pathway.

OBJECTIVES: Evidence development for medical devices is often focused on satisfying regulatory requirements with the result that health professional and payer expectations may not be met, despite considerable investment in clinical trials. Early engagement with payers and health professionals could allow companies to understand these expectations and reflect them in clinical study design, increasing chances of positive coverage determination and adoption into clinical practice. METHODS: An example of early engagement through the EXCITE International model using an early technology review (ETR) is described which includes engagement with payers and health professionals to better inform companies to develop data that meet their expectations. ETR is based on an early evidence review, a framework of expectations that guides the process and identified gaps in evidence. The first fourteen ETRs were reviewed for examples of advice to companies that provided additional information from payers and health professionals that was thought likely to impact on downstream outcomes or strategic direction. Given that limitations were imposed by confidentiality, examples were genericized. RESULTS: Advice through early engagement can inform evidence development that coincides with expectations of payers and health professionals through a structured, objective, evidence-based approach. This could reduce the risk of business-related adverse outcomes such as failure to secure a positive coverage determination and/or acceptance by expert health professionals. CONCLUSIONS: Early engagement with key stakeholders exemplified by the ETR approach offers an alternative to the current approach of focusing on regulatory expectations. This could reduce the time to reimbursement and clinical adoption and benefit patient outcomes and/or health system efficiencies.

Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.

Diffusion of innovations, defined as the adoption and implementation of new ideas, processes, products, or services in health care, is both particularly important and especially challenging. One known problem with adoption and implementation of new technologies is that, while organizations often make innovations immediately available, organizational actors are more wary about adopting new technologies because these may impact not only patients and practices but also reimbursement. As a result, innovations may remain underutilized, and organizations may miss opportunities to improve and advance. As innovation adoption is vital to achieving success and remaining competitive, it is important to measure and understand factors that impact innovation diffusion. Building on a survey of a national sample of 654 clinicians, our study measures the extent of diffusion of value-enhancing care delivery innovations (i.e., technologies that not only improve quality of care but has potential to reduce care cost by diminishing waste, Faems et al., 2010) for 13 clinical specialties and identifies healthcare-specific individual characteristics such as: professional purview, supervisory responsibility, financial incentive, and clinical tenure associated with innovation diffusion. We also examine the association of innovation diffusion with perceived value of one type of care delivery innovation - artificial intelligence (AI) - for assisting clinicians in their clinical work. Responses indicate that less than two-thirds of clinicians were knowledgeable about and aware of relevant value-enhancing care delivery innovations. Clinicians with broader professional purview, more supervisory responsibility, and stronger financial incentives had higher innovation diffusion scores, indicating greater knowledge and awareness of value-enhancing, care delivery innovations. Higher levels of knowledge of the innovations and awareness of their implementation were associated with higher perceptions of the value of AI-based technology. Our study contributes to our knowledge of diffusion of innovation in healthcare delivery and highlights potential mechanisms for speeding innovation diffusion.

The Educational Impact of Radiology in Anatomy Teaching: A Field Study Using Cross-Sectional Imaging and 3D Printing for the Study of the Spine.

INTRODUCTION: Cross-sectional imaging and 3D printing represent state-of-the-art approaches to improve anatomy teaching compared to traditional learning, but their use in medical schools remains limited. This study explores the utility of these educational tools for teaching normal and pathological spinal anatomy, aiming to improve undergraduate medical education. MATERIALS AND METHODS: A field study was conducted on a cohort of undergraduate medical students who were exposed to anatomy lessons of the spine considering three learning paradigms: traditional learning, cross-sectional imaging examinations, and 3D printed models. 20 students (intervention group) received the three approaches, and other 20 students (control group) received the conventional (traditional) approach. The students were examined through a multiple-choice test and their results were compared to those of a control group exposed to traditional learning matched by age, sex and anatomy grades. In addition, students in the experimental group were assessed for their satisfaction with each learning method by means of an ad hoc questionnaire. RESULTS: Students exposed to cross-sectional imaging and 3D printing demonstrated better knowledge outcomes compared to the control group. They showed high satisfaction rates and reported that these technologies enhanced spatial understanding and facilitated visualization of specific pathologies. However, limitations such as the representativeness of non-bone conditions in 3D printed models and the need for further knowledge on imaging fundamentals were highlighted. CONCLUSION: Cross-sectional imaging and 3D printing offer valuable tools for enhancing the teaching of spinal anatomy in undergraduate medical education. Radiologists are well positioned to lead the integration of these technologies, and further research should explore their potential in teaching anatomy across different anatomical regions.

Global cone-beam computed tomography adoption, usage and scan interpretation preferences of dentists and endodontists.

AIM: This study investigated the adoption of cone-beam computed tomography (CBCT) by dentists and endodontists around the world, including their preferences in endodontic CBCT usage. METHODOLOGY: An online questionnaire surveyed dental association members in Australia and New Zealand, and endodontic association members in Australia, Britain, Canada, Italy, New Zealand and the USA, about their CBCT training history, considerations in acquisition/interpretation, access to and usage of CBCT, preferred scan interpreter, and preferred endodontic scan settings. Data were analysed with Chi-squared, independent sample t-tests, Cochran's Q and McNemar's tests. RESULTS: Responses from 578 endodontic specialists or postgraduates (Group E) and 185 non-endodontic dentists (Group NE) were included. Continuing professional education (CPE) was the most common source of CBCT training (69.2%). Factors considered in CBCT acquisition/interpretation included beam hardening (75.4%), radiation exposure (61.1%) and patient movement (58.3%). Group E reported higher CBCT usage (90.8%) than Group NE (45.4%, p < .001) and greater workplace access to CBCT (81.1% vs. 25.9%, p < .001). Scans were interpreted by the respondent in most workplace scans (83.3%) and externally taken scans (60.5%); Group E were significantly more likely to interpret themselves than Group NE. Small field of view (83.6%) and high resolution (86.6%) were most preferred as settings for endodontic CBCTs; Group NE were less likely to choose these settings. There were some geographic variations within Group E. CONCLUSIONS: CBCT training was most commonly acquired via CPE. Endodontic respondents reported very high CBCT usage and access in the workplace. There are educational implications regarding CBCT limitations, appropriate applications and interpretation.

Survey data of Gen Z customer behaviour using food delivery applications in Vietnam.

This study presents an analysis based on data collected via questionnaire, surveying Gen Z customers using food delivery applications in Vietnam. The purpose of the original research was to investigate factors influencing Gen Z customers' decision to continue using the applications. The data set presented in this paper includes 361 valid responses that were collected by convenience sampling method from Hanoi and Hochiminh City, which are the two most potential regions of e-commerce transactions in Vietnam. After being collected, sorted, and filtered, the data was calculated by SPSS 22 and AMOS 23 software to extract descriptive analysis, Cronbach's Alpha, and confirmatory factor analysis (CFA). The calculation results indicated that this data set ensures reliability, convergent, and discriminant validity, which can serve as a good reference for future studies.

The determinants of public acceptance of telemedicine apps: an innovation diffusion perspective.

With the rapid advancement of information technology, telemedicine apps have gradually become an indispensable tool for providing patients with more convenient, efficient, and accessible healthcare services. However, the successful implementation of these apps largely depends on widespread acceptance among the public. To thoroughly investigate the factors influencing the public's acceptance of these apps and the relationships between these factors, this study developed a theoretical model based on the Diffusion of Innovation theory and the Theory of Perceived Value. To validate this model, we conducted a survey of 387 residents in Beijing, China, and employed structural equation modeling to analyze the collected data. The research findings indicate that attributes of innovation diffusion, including relative advantage, compatibility, complexity, trialability, and observability, significantly and positively influence the public's perceived value. Particularly noteworthy is that perceived value partially mediates the relationship between innovation attributes and public acceptance, emphasizing the crucial role of perceived value in the public decision-making process. This study employed a theory-driven approach to elucidate the acceptance of telemedicine apps and offers fresh insights into the existing literature. By integrating the research paradigms of innovation diffusion and customer perceived value, we provide a coherent explanation of how individual cognitive processes lead to acceptance behavior. In summary, this research enriches the existing theoretical studies on the acceptance of telemedicine apps and holds positive implications for healthcare practice.

El renacimiento tecnológico de la Radiología: la revolución open source y la inteligencia artificial

El campo de la radiología ha experimentado avances notables en las últimas décadas, con desarrollos que van desde la mejora de la calidad y digitalización de las imágenes hasta la detección asistida por computadora. Particularmente, la aparición de técnicas de Inteligencia Artificial basadas en Deep Learning y Visión Computacional han promovido soluciones innovadoras en el diagnóstico y el análisis radiológico. Se explora la relevancia de los desarrollos y modelos open source en el progreso de estas técnicas, resaltando el impacto que la colaboración y el acceso abierto han tenido en el avance científico del campo. La investigación tiene un enfoque cualitativo, con alcance descriptivo y retrospectivo, de corte longitudinal. Se realizó un análisis documental de la evolución y el impacto del open source en la Radiología, poniendo de relieve la colaboración multidisciplinar. Se examinaron casos de uso, ventajas, desafíos y consideraciones éticas en relación con la implementación de soluciones basadas en Inteligencia Artificial en Radiología. El enfoque open source ha mostrado ser una influencia positiva en la Radiología, con potencial para influir en la atención médica, ofreciendo soluciones más precisas y accesibles. No obstante, se presentan desafíos éticos y técnicos que requieren atención.

The field of radiology has seen notable advances in recent decades, with developments ranging from image quality improvement and digitization to computer-aided detection. Particularly, the emergence of Artificial Intelligence techniques based on Deep Learning and Computer Vision have promoted innovative solutions in diagnosis and radiological analysis. This article explores the relevance of open source developments and models in the progress of these techniques, highlighting the impact that collaboration and open access have had on the scientific advancement in this field. This research has a qualitative approach, with a descriptive, retrospective, longitudinal scope. A documentary analysis of the evolution and impact of open source in Radiology was carried out, highlighting multidisciplinary collaboration. Use cases, advantages, challenges and ethical considerations were also examined in relation to the implementation of AI-based solutions in Radiology. The Open Source approach has been shown to be a positive influence in Radiology, with the potential to influence medical care, offering more precise and accessible solutions. However, there are ethical and technical challenges that require attention.