Artificial intelligence and illusions of understanding in scientific research.

Scientists are enthusiastically imagining ways in which artificial intelligence (AI) tools might improve research. Why are AI tools so attractive and what are the risks of implementing them across the research pipeline? Here we develop a taxonomy of scientists' visions for AI, observing that their appeal comes from promises to improve productivity and objectivity by overcoming human shortcomings. But proposed AI solutions can also exploit our cognitive limitations, making us vulnerable to illusions of understanding in which we believe we understand more about the world than we actually do. Such illusions obscure the scientific community's ability to see the formation of scientific monocultures, in which some types of methods, questions and viewpoints come to dominate alternative approaches, making science less innovative and more vulnerable to errors. The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less. By analysing the appeal of these tools, we provide a framework for advancing discussions of responsible knowledge production in the age of AI.

Clinical Research in Renal Transplantation: A Bibliometric Perspective on a Half-century of Innovation and Progress.

BACKGROUND: Groundbreaking biomedical research has transformed renal transplantation (RT) into a widespread clinical procedure that represents the mainstay of treatment for end-stage kidney failure today. Here, we aimed to provide a comprehensive bibliometric perspective on the last half-century of innovation in clinical RT. METHODS: The Web of Science Core Collection was used for a comprehensive screening yielding 123 303 research items during a 50-y period (January 1973-October 2022). The final data set of the 200 most-cited articles was selected on the basis of a citation-based strategy aiming to minimize bias. RESULTS: Studies on clinical and immunological outcomes (n = 63 and 48), registry-based epi research (n = 38), and randomized controlled trials (n = 35) dominated the data set. Lead US authors have signed 110 of 200 articles. The overall level of evidence was high, with 84% of level1 and -2 reports. Highest numbers of these articles were published in New England Journal of Medicine , Transplantation , and American Journal of Transplantation. Increasing trend was observed in the number of female authors in the postmillennial era (26% versus 7%). CONCLUSIONS: This study highlights important trends in RT research of the past half-century. This bibliometric perspective identifies the most intensively researched areas and shift of research interests over time; however, it also describes important imbalances in distribution of academic prolificacy based on topic, geographical aspects, and gender.

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.

Exploring Nurse' Use of Digital Nursing Technology.

This is a quantitative cross-sectional study using the characteristics of innovation diffusion theory to evaluate nurse' acceptance and adoption of digital nursing technology (DNT). Data were collected through questionnaires based on innovation diffusion theory in the wards of a regional hospital in Taiwan from March 21 to May 31, 2022. Results indicated that the higher the innovative characteristics of DNT, the higher the DNT acceptance. Difficulties with network connections contributed to negative experiences and led to recommendations for future system improvement.

Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?

Importance: Since the introduction of ChatGPT in late 2022, generative artificial intelligence (genAI) has elicited enormous enthusiasm and serious concerns. Observations: History has shown that general purpose technologies often fail to deliver their promised benefits for many years ("the productivity paradox of information technology"). Health care has several attributes that make the successful deployment of new technologies even more difficult than in other industries; these have challenged prior efforts to implement AI and electronic health records. However, genAI has unique properties that may shorten the usual lag between implementation and productivity and/or quality gains in health care. Moreover, the health care ecosystem has evolved to make it more receptive to genAI, and many health care organizations are poised to implement the complementary innovations in culture, leadership, workforce, and workflow often needed for digital innovations to flourish. Conclusions and Relevance: The ability of genAI to rapidly improve and the capacity of organizations to implement complementary innovations that allow IT tools to reach their potential are more advanced than in the past; thus, genAI is capable of delivering meaningful improvements in health care more rapidly than was the case with previous technologies.

Researching models of innovation and adoption in health professions education.

BACKGROUND: Despite the constant presence of change and innovation in health professions education (HPE), there has been relatively little theoretical modelling of such change, the experiences of change, the ideology associated with change or the unexpected consequences of change. In this paper, the authors explore theoretical approaches to the adoption of innovations in HPE as a way of mapping a broader theoretical landscape of change. METHOD: The authors, HPE researchers with an interest in technology adoption and systemic change, present a narrative review of the literature based on a series of thought experiments regarding how communities and individuals respond to the introduction of new ideas or methods. This research investigates the stages of innovation adoption, from the emergence and hype around new ideas to the concrete experiences of early adopters. RESULTS: When an innovation first emerges, there is often little concrete information available to inform potential adopters, leaving it susceptible to hype, both positive and negative. This can be described using the Gartner Hype Cycle model, albeit with important caveats. Once the adoption of an innovation gets underway, early adopter user experiences can inform those that follow. This can be described using Rogers' diffusion of innovation model, again with caveats. Notably, neither model goes beyond the point of single point-in-time, yes/no, individual adoption. Other approaches, such as learning curve theory, are needed to track uptake and maintenance by individuals over time. SIGNIFICANCE: This expanded theoretical base, while still somewhat instrumentalist, combined with complementary theoretical perspectives can afford opportunities to better explore reasons for variance, volunteerism and resistance to change. In summary, change is complicated and nuanced, and better models and theories are needed to understand and work meaningfully with change in HPE. To that end, the authors seek to encourage richer and more thoughtful research and scholarly thinking about change and a more nuanced approach to the pursuit of change in HPE as a whole.

Pivotal Trial Demographic Representation and Clinical Development Times for Oncology Therapeutics.

This study evaluates whether FDA-approved novel cancer therapeutics supported by pivotal trials with adequate representation of minoritized groups were associated with slower clinical development times than those with inadequate representation.

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.

Remote collaboration fuses fewer breakthrough ideas.

Theories of innovation emphasize the role of social networks and teams as facilitators of breakthrough discoveries1-4. Around the world, scientists and inventors are more plentiful and interconnected today than ever before4. However, although there are more people making discoveries, and more ideas that can be reconfigured in new ways, research suggests that new ideas are getting harder to find5,6-contradicting recombinant growth theory7,8. Here we shed light on this apparent puzzle. Analysing 20 million research articles and 4 million patent applications from across the globe over the past half-century, we begin by documenting the rise of remote collaboration across cities, underlining the growing interconnectedness of scientists and inventors globally. We further show that across all fields, periods and team sizes, researchers in these remote teams are consistently less likely to make breakthrough discoveries relative to their on-site counterparts. Creating a dataset that allows us to explore the division of labour in knowledge production within teams and across space, we find that among distributed team members, collaboration centres on late-stage, technical tasks involving more codified knowledge. Yet they are less likely to join forces in conceptual tasks-such as conceiving new ideas and designing research-when knowledge is tacit9. We conclude that despite striking improvements in digital technology in recent years, remote teams are less likely to integrate the knowledge of their members to produce new, disruptive ideas.

Reciprocal coproduction as a basis for the diffusion of global health innovations.

Global health reciprocal innovations originate in low-income and middle-income countries as well as high-income countries before their developers communicate about them with potential adopters in other countries as a transnational team. While communication technology has enabled a more rapid and broader sharing of information about innovations to prevent disease and improve health, innovations of various types have spread among countries, at all levels of income, for many centuries. In this article, we introduce the idea of reciprocal coproduction as a basis for the international sharing of information about innovations that exhibit potential for improving global health. Reciprocal coproduction occurs through two relational team-based processes: developer-led reinvention of an innovation so that it retains its desirable causal effects and implementer-led adaptation of that innovation so that it is compatible with new contexts into which it is introduced. Drawing on research and our own experiences across a range of health issues, we discuss common barriers to reciprocal coproduction and the diffusion of reciprocal innovations. We conclude with lessons drawn from dissemination and implementation science about the effective translation of reciprocal innovations from country to country so that researchers, policy-makers and social entrepreneurs can best ensure equity, accelerate adoptions and heighten the likelihood that global health reciprocal innovations will make a positive difference in health.

Factors influencing engagement in online dual practice by public hospital doctors in three large cities: A mixed-methods study in China.

Background: In the digital age, a rising number of public sector doctors are providing private telemedicine and telehealth services on online health care platforms. This novel practice pattern - termed online dual practice - may profoundly impact health system performance in both developed and developing countries. This study aims to understand the factors influencing doctors' engagement in online dual practice. Methods: Using a mixed-methods design, this study concurrently collects quantitative demographic and practice data (n = 71 944) and semi-structured interview data (n = 32) on secondary and tertiary public hospital doctors in three large Chinese cities: Beijing, Shanghai and Guangzhou. We use the quantitative data to examine the prevalence of the online dual practice and its associated factors via the binary logit regression model. The qualitative data are used to further explore associated factors of online dual practice via thematic analysis. The findings about associated factors from the two parts were merged using the categories of personal, professional, and organisational characteristics. Results: Our quantitative analysis shows that at least 47.1% of public hospital doctors are involved in online dual practice. The shares in Beijing, Shanghai, and Guangzhou are 43.7%, 53.1%, and 44.8%, respectively. This practice is more prevalent among doctors who are male, senior, and non-managerial. Different specialties, hospital ownership, hospital levels, and locations are also significantly associated with this practice. The qualitative analysis further suggests that financial returns, perceived effectiveness of telemedicine, and hospital directors' attitude towards telemedicine may affect doctors' engagement with online dual practice. Conclusions: Online dual practice is prevalent among doctors at tertiary and secondary public hospitals in Beijing, Shanghai, and Guangzhou. Personal, professional, and organisational characteristics are all associated with doctors' choice to engage in online dual practice. The findings in this study provide implications for promoting telemedicine adoption and developing relevant regulatory policies in China and other countries.

The Relationship Between Pharmaceutical Innovation and Cancer Mortality in Spain, From 1999 to 2016.

OBJECTIVES: To investigate the relationship across cancer sites between pharmaceutical innovation and changes in cancer mortality in Spain during the period between 1999 and 2016. METHODS: I investigated whether the cancer sites for which more new drugs were authorized had larger reductions in mortality from 1999 to 2016 in Spain, controlling for the lagged change in cancer incidence. The principal measure of pharmaceutical innovation is the long-run change in the mean vintage (year of initial authorization in Spain) of the drugs for the treatment of a cancer previously authorized in Spain. RESULTS: The 1999 to 2016 increase in mean age at death tended to be larger, and the 1999 to 2016 increase in the number of deaths and life-years lost before the ages 65 years, 75 years, and 85 years tended to be smaller for cancer sites that had larger current or lagged increases in drug vintage. Pharmaceutical innovation was associated with a 2.77-year increase in mean age at death from cancer from 1999 to 2016-96% of the observed increase. New drug authorization during the previous 17 years were associated with a reduction in the number of life-years lost before the age of 75 years in 2016 of 333 000. Under the assumption that the association between pharmaceutical innovation and mortality reduction is causal, estimated drug expenditure per life year before the age of 75 years gained in 2016 from new cancer drugs that were authorized between 2000 and 2016 was €3269. CONCLUSIONS: The cancer sites for which there were more pharmaceutical innovation-more new drugs authorized-had larger 1999 to 2016 reductions in mortality in Spain, controlling for the lagged change in cancer incidence.

Employing diffusion of innovation theory for 'not missing the mass' in community-engaged research.

INTRODUCTION: Engaging with minority communities, such as immigrants and ethnic minorities, often involves adopting top-down approaches, wherein researchers and policymakers provide solutions based on their perspective. However, these approaches may not adequately address the needs and preferences of the community members, who have valuable insights and experiences to share. Therefore, community-engaged approaches, which involve collaborative partnerships between community members and researchers to identify issues, co-create solutions, and recommend policy changes, are becoming more recognized for their effectiveness and relevance. Yet, prevailing community engagement efforts often focus on easily reachable and already engaged segments of the community, sometimes overlooking the broader population. METHODS: When working with immigrant and racialized communities, we encountered difficulties in engaging the wider community through traditional researcher-led approaches. We realized that overcoming these challenges required innovative strategies rooted in community-based participatory research principles and the diffusion of innovation theory. We recognized that a nuanced understanding of the community's dynamics and preferences was crucial in shaping our approach and building trust and rapport with the community members. RESULTS: The need to bridge the gap between researcher-led initiatives and community-driven involvement has never been more pronounced. Our experience, chronicled in this article, highlights the journey of our research program with an immigrant/racialized community. This reflection enhances our comprehension of community engagement that deliberately strives to reach a larger cross-section of the community. By providing practical methods for reaching the broader community and navigating the intricacies of engagement, we aim to assist fellow researchers in conducting effective community-engaged research across various minority communities. CONCLUSION: In sharing our insights and successful strategies for community engagement, we hope to contribute to the field's knowledge. Our commitment to fostering meaningful collaboration underscores the importance of co-creating solutions that resonate with the diverse voices within these communities. Through these efforts, we envision a more inclusive and impactful approach to addressing the complex challenges faced by minority populations.

How to bridge the nurse innovation-diffusion gap? An in-depth case study of Create4Care.

Introduction: Nurses frequently innovate in response to operational failures, regulations, procedures, and/or other workflow barriers that prevent them from delivering high-quality patient care. Unfortunately, most nurse innovations do not diffuse to a broader audience, depriving other nurses from taking advantage of solutions that have already been developed elsewhere. This under-diffusion is problematic from a societal and welfare point of view. The goal of this paper is to understand how diffusion shortage of nurse innovations can be reduced. Methods: We develop a qualitative case study of a medical makerspace at the largest academic hospital in the Netherlands. This medical makerspace reported unusually high rates of nurse innovation diffusion. Our data collection includes on-site observations, archival data, secondary data, and fifteen in-depth interviews with key informants. Qualitative coding procedures and a combination of deductive and inductive reasoning are used to analyze the data. Results: Our data show that personal, organizational, regulatory, and market barriers prevent nurses from further developing and diffusion their innovations in an anticipatory manner. That is, because nurses expect that transforming an initial solution into an innovation that can be shared with others will be too time consuming and difficult they do not proceed with the further development. The medical makerspace that we investigated adequately addresses this problem by developing an innovation ecosystem that largely takes over the innovation and diffusion process. Discussion: We provide a concrete example of how a medical makerspace, and innovation support systems in a broader sense, can be designed to more adequately address the nurse innovation-diffusion gap. The two main elements of the practical solution that we identified are: (1) Support systems should facilitate that others may lead the development and diffusion of innovations and (2) The support system should promote that actors integrate their functional specializations within an innovation ecosystem. We make two theoretical contributions. First, we contribute to understanding barriers in the nurse innovation-diffusion process from a psychological point. Second, we identified that an ecosystem perspective is beneficial to develop innovation support systems in which diffusion occurs more often.