A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework

Background Continual improvements to health systems, products, and services are necessary for improvements in health. However, many of these improvements are not incorporated into everyday practice. When designing new health systems, products, and services, involving members of the healthcare community and the public with personal healthcare experience can help to make sure that improvements will be useful and relevant to others like them. Methods Together with healthcare workers and family members with healthcare experience, we developed and applied a step-by-step guide to involving those with personal experience in the design of health system improvements. Results Our guide has three phases- 'Pre-Design', 'Co-Design', and 'Post-Design'. This paper describes each of these phases and illustrates how we applied them to our own project, which is to use virtual healthcare methods to improve care for children with chronic healthcare conditions and their families. In our own work, we found that healthcare workers and family members with personal healthcare experiences were able to use their knowledge and creativity to help us imagine how to improve care for children with chronic healthcare conditions and their families. We have created action items from these family member- and healthcare worker-identified needs, which we will use to shape our virtual healthcare system. Conclusions This paper may be useful for those seeking to involve members of the healthcare community and the public in the creation of better healthcare systems, products, and services. Background Challenges with the adoption, scale, and spread of health innovations represent significant gaps in the evidence-to-practice cycle. In the health innovation design process, a lack of attention paid to the needs of end-users, and subsequent tailoring of innovations to meet these needs, is a possible reason for this deficit. In the creative field of health innovation, which includes the design of healthcare products, systems (governance and organization mechanisms), and services (delivery mechanisms), a framework for both soliciting the needs of end-users and translating these needs into the design of health innovations is needed. Methods To address this gap, our team developed and applied a seven-step methodological framework, called A Generative Co-Design Framework for Healthcare Innovation. This framework was developed by an interdisciplinary team that included patient partners. Results This manuscript contributes a framework and applied exemplar for those seeking to engage end-users in the creative process of healthcare innovation. Through the stages of 'Pre-Design', 'Co-Design', and 'Post-Design', we were able to harness the creative insights of end-users, drawing on their experiences to shape a future state of care. Using an expository example of our own work, the DigiComp Kids project, we illustrate the application of each stage of the Framework. Conclusions A Generative Co-Design Framework for Healthcare Innovation provides healthcare innovators, applied health science researchers, clinicians, and quality improvement specialists with a guide to eliciting and incorporating the viewpoints of end-users while distilling practical considerations for healthcare innovation and design.

Exploring the practice of patient centered care: The role of ethnography and reflexivity

Patient centered care (PCC) is an essential dimension of healthcare systems' mission worldwide and is recognized as an important condition for ensuring the quality of care. Nonetheless, it is also acknowledged that various care providers perceive patient centeredness differently and that there remain several unanswered questions about the aspects of healthcare delivery that are linked to an actual achievement of PCC. In the paper, we categorize the current research on PCC into two streams ("dyadic" and "organizational") and we discuss the strengths and weaknesses of each. Despite their important contributions to healthcare services research, these approaches to PCC do not fully capture the network of practices and relationships constituting patients and providers' experiences within healthcare contexts. Therefore, we propose an alternative interpretation of PCC that integrates insights from "practice theories" and emphasizes the negotiated and local nature of patient centeredness, which is accomplished through the engagement of providers and patients in everyday care practices. To develop such interpretation, we propose a research approach combining ethnographic and reflexive methods. Ethnography can help achieve more nuanced descriptions of what PCC truly encapsulates in the care process by drawing attention to the social and material reality of healthcare contexts. Reflexivity can help disentangle and bring to surface the tacit knowledge spread in everyday care practices and transform it into actionable knowledge, a type of knowledge that may support services improvement toward PCC. We anticipate that such improvement is far from straightforward: an actual achievement of PCC may challenge the interests of different stakeholders and unsettle consolidated habits, hierarchies and power dynamics. This unsettlement, however, can also serve as a necessary condition for engaging in a participative process of internal development. We discuss the outcomes, limitations and benefits of our approach through a hospital case study.

Health Promotion in Primary Care Pediatrics: Initial Results of a Randomized Clinical Trial of the Vermont Family Based Approach

The Vermont Family Based Approach (VFBA) is an innovative approach to healthcare delivery that addresses challenges of the healthcare system in the United States. The authors conducted a randomized controlled trial of the VFBA at a primary care pediatric clinic. The goal of the trial was to test the feasibility of the VFBA in pediatrics and to improve healthcare engagement and health outcomes for families. This article presents initial results of the trial on feasibility and engagement. The VFBA was found feasible and was associated with a significant increase in engagement with health and wellness supports and services.

The quantified patient of the future: Opportunities and challenges

The healthcare system is undergoing rapid transformation as national policies increase patient access, reward positive health outcomes, and push for an end to the current era of episodic care. Advances in health sensors are rapidly moving diagnostic and monitoring capabilities into consumer products, enabling new care models. Although hospitals and health care providers have been slow to embrace novel health technologies, such innovations may help meet mounting pressure to provide timely, high quality, and low-cost care to large populations. This leading edge perspective focuses on the quantified-self movement and highlights the opportunities and challenges for patients, providers, and researchers.

The application of triple aim framework in the context of primary healthcare: A systematic literature review

The Triple Aim framework is an increasingly popular tool for designing and assessing quality improvements in the health care sector. We systematically reviewed the empirical evidence on the application of the Triple Aim framework within primary healthcare settings since its inception almost a decade ago. Results show that primary healthcare providers varied in their interpretation of the Triple Aim framework and generally struggled with a lack of guidance and an absence of composite sets of measures for performance assessment. Greater clarity around application of the Triple Aim framework in primary healthcare is needed, especially around the selection and implementation of purposeful measures from locally available data. This review highlights areas for improvement and makes recommendations intended to guide future applications of the Triple Aim in the context of primary healthcare.

Transformation of anesthesia for ambulatory orthopedic surgery: A mixed-methods study of a diffusion of innovation in healthcare

INTRODUCTION

To provide insight into how an innovation in healthcare is implemented and diffused, we studied the transition from routine use of general anesthesia to peripheral nerve blocks (PNBs) for ambulatory orthopedic extremity surgery. Rogers' diffusion of innovations (DOI) theory was used as our theoretical framework. We identified themes that would be helpful for others attempting to diffuse innovations into healthcare settings.

MATERIAL AND METHODS

A mixed quantitative and qualitative methodology was used. We retrospectively reviewed operative and anesthesia records of patients who underwent ambulatory repair of distal radius fractures or arthroscopic knee meniscus procedures from 1998 to 2012 to identify whether general anesthetics or PNBs were used and the time course of the innovation. We interviewed orthopedic surgeons, anesthesiologists, and a nursing administrator working in the ambulatory surgery unit during the innovation to identify key themes associated with the adoption of PNBs.

RESULTS

From 2003 to 2012, use of PNBs increased from less than 10% to 70% of cases studied. The adoption timeframe followed an S-shaped curve. Key themes included improved safety, quality, efficiency, physician leadership and trust, organizational structure, and technological change. The innovation involved an optional decision-making process and took root in a satellite facility and generally fit with Rogers DOI theory.

CONCLUSIONS

The adoption and diffusion of PNBs provides a useful model for understanding innovations with optional decision-making in healthcare. Critical elements in our case were the characteristics of the innovation, which facilitated the decision-making process, and the positioning of the innovation in a peripheral structure away from core clinical facilities.

Crossing and creating boundaries in healthcare innovation

Purpose - This paper reports from a qualitative case study of a change initiative undertaken in a Danish public hospital setting during national healthcare reforms. The purpose of this paper is to challenge understandings of innovations as defined by being value-adding per se. Whether the effects of attempting to innovate are positive or negative is in this paper regarded as a matter of empirical investigation. Design/methodology/approach - Narrative accounts of activities during the change initiative are analysed in order to elucidate the effects of framing the change initiative as innovation on which boundaries are created and crossed. Findings - Framing change initiatives as innovation leads to intended as well as unanticipated boundary crossings where healthcare practitioners from different organizations recognize a shared problem and task. It also leads to unintended boundary reinforcements between "us and them" that may exclude the perspectives of patients or stakeholders when confronting complex problems in healthcare. This boundary reinforcement can lead to further fragmentation of healthcare despite the stated intention to create more integrated services. Practical implications - The paper suggests that researchers as well as practitioners should not presume that intentions to innovate will by themselves enhance creativity and innovation. When analysing the intended, unintended as well as unanticipated consequences of framing change initiatives as innovation, researchers and practitioner gain nuanced knowledge about the effects of intending to innovate in complex settings such as healthcare. Originality/value - This paper suggests the need for an analytical move from studying the effects of innovation to studying the effects of framing complex problems as a call for innovation.

Understanding healthcare innovation systems: the Stockholm region case

Purpose There is an increasing interest in understanding how innovation processes can address current challenges in healthcare. The purpose of this paper is to analyze the wider socio-economic context and conditions for such innovation processes in the Stockholm region, using the functional dynamics approach to innovation systems (ISs). Design/methodology/approach The analysis is based on triangulation using data from 16 in-depth interviews, two workshops, and additional documents. Using the functional dynamics approach, critical structural and functional components of the healthcare IS were analyzed. Findings The analysis revealed several mechanisms blocking innovation processes such as fragmentation, lack of clear leadership, as well as insufficient involvement of patients and healthcare professionals. Furthermore, innovation is expected to occur linearly as a result of research. Restrictive rules for collaboration with industry, reimbursement, and procurement mechanisms limit entrepreneurial experimentation, commercialization, and spread of innovations. Research limitations/implications In this study, the authors analyzed how certain functions of the functional dynamics approach to ISs related to each other. The authors grouped knowledge creation, resource mobilization, and legitimacy as they jointly constitute conditions for needs articulation and entrepreneurial experimentation. The economic effects of entrepreneurial experimentation and needs articulation are mainly determined by the stage of market formation and existence of positive externalities. Social implications Stronger user involvement; a joint innovation strategy for healthcare, academia, and industry; and institutional reform are necessary to remove blocking mechanisms that today prevent innovation from occurring. Originality/value This study is the first to provide an analysis of the system of innovation in healthcare using a functional dynamics approach, which has evolved as a tool for public policy making. A better understanding of ISs in general, and in healthcare in particular, may provide the basis for designing and evaluating innovation policy.

Analysing barriers to service improvement using a multi-level theory of innovation: the case of glaucoma outpatient clinics

The development and implementation of innovation by healthcare providers is understood as a multi-determinant and multi-level process. Theories at different analytical levels (i.e. micro and organisational) are needed to capture the processes that influence innovation by providers. This article combines a micro theory of innovation, actor-network theory, with organisational level processes using the 'resource based view of the firm'. It examines the influence of, and interplay between, innovation-seeking teams (micro) and underlying organisational capabilities (meso) during innovation processes. We used ethnographic methods to study service innovations in relation to ophthalmology services run by a specialist English NHS Trust at multiple locations. Operational research techniques were used to support the ethnographic methods by mapping the care process in the existing and redesigned clinics. Deficiencies in organisational capabilities for supporting innovation were identified, including manager-clinician relations and organisation-wide resources. The article concludes that actor-network theory can be combined with the resource-based view to highlight the influence of organisational capabilities on the management of innovation. Equally, actor-network theory helps to address the lack of theory in the resource-based view on the micro practices of implementing change.

Answering the Challenge of COVID-19 Pandemic Through Innovation and Ingenuity

The novel coronavirus disease 2019 (COVID-19) pandemic has created a maelstrom of challenges affecting virtually every aspect of global healthcare system. Critical hospital capacity issues, depleted ventilator and personal protective equipment stockpiles, severely strained supply chains, profound economic slowdown, and the tremendous human cost all culminated in what is questionably one of the most profound challenges that humanity faced in decades, if not centuries. Effective global response to the current pandemic will require innovation and ingenuity. This chapter discusses various creative approaches and ideas that arose in response to COVID-19, as well as some of the most impactful future trends that emerged as a result. Among the many topics discussed herein are telemedicine, blockchain technology, artificial intelligence, stereolithography, and distance learning.

Data revolution, health status transformation and the role of artificial intelligence for health and pandemic preparedness in the African context

Background

Artificial Intelligence (AI) platforms, increasingly deployed in public health, utilize robust data systems as a critical component for health emergency preparedness. Yet, Africa faces numerous challenges in the availability, analyses, and use of data to inform health decision-making. Countries have limited access to their population data. Those with access, struggle to utilize these data for program improvements. Owing to the rapid growth of mobile phone ownership and use in the region, Africa is poised to leverage AI technologies to increase the adoption, access and use of data for health. To discuss and propose solutions for responsible development and adoption of innovations like AI in Africa, a virtual workshop was organized from the 21st to 24th June, 2021. This report highlights critical policy dimensions of strengthening digital health ecosystems by high-level policymakers, technical experts, academia, public and private sector partners.

Method

The four days’ workshop focused on nine sessions, with each session focusing on three themes. Discussions during the sessions concentrated on public and private sectors, the academia and multilateral organizations’ deployment of AI. These discussions expanded participants’ understanding of AI, the opportunities and challenges that exist during adoption, including the future of AI for health in the African region. Approximately 250 participants attended the workshop, including countries representatives from ministries of Health, Information and Technology, Developmental Organizations, Private Sector, Academia and Research Institutions among others.

Results

The workshop resolved that governments and relevant stakeholders should collaborate to ensure that AI and digital health receive critical attention. Government ownership and leadership were identified as critical for sustainable financing and effective scale-up of AI-enabled applications in Africa. Thus, government is to ensure that key recommendations from the workshop are implemented to improve health sector development in Africa.

Conclusions

The AI workshop was a good forum to deliberate important issues regarding AI for health in the African context. It was concluded that there is a need to focus on vital priorities in deploying AI in Africa: Data protection, privacy and sharing protocols; training and creating platforms for researchers; funding and business models; developing frameworks for assessing and implementing AI; organizing forums and conferences on AI; and instituting regulations, governance and ethical guidelines for AI. There is a need to adopt a health systems approach in planning for AI to reduce inefficiencies, redundancies while increasing effectiveness in the use of AI. Thus, robust collaborations and partnerships among governments and various stakeholders were identified as key.

Current concepts for tissue transplant services for developing countries

The transplantation of tissues can save lives and re-establish vital functions, where no alternatives of comparable effectiveness exist. This has led to establishment of tissue transplantation as a successful practice worldwide; however, a great variability between countries remains in terms of donation levels, safety, quality of grafts and their efficacy. Tissue transplantation requires coordination of different agencies involved in the implementation of procurement, processing, storage and distribution of tissues and cells from different hospital units that perform surgical procedures with graft-type input requirements. This biomaterial-like requirement has led to the constant development of the area and today these graft products of human origin can be the starting point for new and more advanced biotechnological products. For long-term sustainability and successful transplantation units, a process management comparable to the pharmaceutical industry in terms of quality management systems must be established to produce safe and high-quality human-derived products. This review aims to update the current concepts of tissue transplant services for its application for developing countries using the current Chilean scenario as a case study. We summarize our findings proposing a set of guidelines/actions that should be followed to ensure smooth tissue transplant services implementations with high efficiency and safe use.

Feasibility of anticoagulation on demand after percutaneous coronary intervention in high-bleeding risk patients with paroxysmal atrial fibrillation: the INTERMITTENT registry

Aims

This study evaluated the feasibility of the intermittent use of direct oral anticoagulants (DOACs) guided by continuous rhythm monitoring via a clinically validated wearable smart device in high-bleeding risk (HBR) patients with symptomatic paroxysmal atrial fibrillation (AF) otherwise subjected to chronic anticoagulation after percutaneous coronary intervention (PCI).

Methods and results

The INTERMITTENT registry was a 3-year prospective observational study at eight Italian centres. Inclusion criteria were elective or urgent PCI, Academic Research Consortium HBR criteria, history of symptomatic 12-lead ECG detected paroxysmal AF episodes, indication to DOACs, and use of a wearable smart device (Apple Watch™). Thirty days after PCI, patients free of AF episodes discontinued DOAC. However, if an AF episode lasting >6 min or a total AF burden > 6 h over 24 h was detected, DOAC was initiated for 30 consecutive days, and withdrawn afterwards if no further AF episodes occurred. At the discretion of the referring physician, intermittent anticoagulation was offered to 89 patients, whereas continuous treatment with DOACs was prescribed to 151 patients. During a follow-up of 298 ± 87 days, the average duration of oral anticoagulation was significantly shorter in the intermittent anticoagulation group (176 ± 43 days, P = 0.0001), representing a 40% reduction in anticoagulation time compared to the continuous group. Ischaemic and bleeding endpoints were not significantly different between the two groups. Propensity score-matching resulted in a total of 69 matched patients with intermittent vs. continuous anticoagulation, respectively. During a follow-up of 291 ± 63 days, there was a significant 46% reduction in anticoagulation time in the intermittent compared to the continuous group (P = 0.0001).

Conclusion

In HBR patients with a history of paroxysmal AF episodes who underwent PCI, intermittent anticoagulation guided by continuous rhythm monitoring with a wearable device was feasible and decreased significantly the duration of anticoagulation.

Mobilizing Innovation: An Environmental Scan of Global Digital Health Centres

Successful expansion and integration of digital health technologies requires the support of organized bodies to mobilize research and accelerate spread and scalability. This Laptop Talk will present the findings of an environmental scan outlining international organizations active in the digital health innovation space.

The influence of organizational models on the implementation of internet-based cognitive behavior therapy in primary care: A mixed methods study using the RE-AIM framework

Background

Internet-Based Cognitive Behavioral Therapy (iCBT) holds great potential in addressing mental health issues, yet its real-world implementation poses significant challenges. While prior research has predominantly focused on centralized care models, this study explores the implementation of iCBT in the context of decentralized organizational structures within the Swedish primary care setting, where all interventions traditionally are delivered at local Primary Care Centers (PCCs).

Aim

This study aims to enhance our understanding of iCBT implementation in primary care and assess the impact of organizational models on the implementation's outcome using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework.

Method

A mixed-methods research design was employed to identify the factors influencing iCBT implementation across different levels, involving patients, therapists and managers. Data spanning two years was collected and analyzed through thematic analysis and statistical tests. The study encompassed 104 primary care centers, with patient data (n = 1979) sourced from the Swedish National Quality Register for Internet-Based Psychological Treatment (SibeR). Additionally, 53 iCBT therapists and 50 PCC managers completed the Normalization Measure Development Questionnaire, and 15 leaders participated in interviews.

Results

Our investigation identified two implementation approaches, one concentrated and one decentralized. Implementation effectiveness was evident through adherence rates suggesting that iCBT is a promising approach for treating mental ill-health in primary care, although challenges were observed concerning patient assessment and therapist drift towards unstructured treatment. Mandatory implementation, along with managerial and organizational support, positively impacted adoption. Results vary in terms of adherence to established protocols, with therapists working in concentrated model showing a significantly higher percentage of registration in the quality register SibeR (X2 (1, N = 2973) = 430.5774, p = 0.001). They also showed significantly higher means in cognitive participation (Z = -2.179, p = 0.029) and in reflective monitoring (Z = -2.548, p = 0.011).

Discussion

Overall, the study results demonstrate that iCBT, as a complex and qualitatively different intervention from traditional psychological treatment, can be widely implemented in primary care settings. The study's key finding highlights the substantial advantages of the concentrated organizational model. This model has strengths in sustainability, encourages reflective monitoring among therapists, the use of quality registers, and enforces established protocols.

Conclusion

In conclusion, this study significantly contributes to the understanding of the practical aspects associated with the implementation of complex internet interventions, particularly in the context of internet-based cognitive-behavioral therapy (iCBT). The study highlights that effective iCBT integration into primary care requires a multifaceted approach, taking into account organizational models, robust support structures, and a commitment to maintaining quality standards. By emphasizing these factors, our research aims to provide actionable insights that can enhance the practicability and real-world applicability of implementing iCBT in primary care settings.

Applications, limitations and advancements of ultra-low-field magnetic resonance imaging: A scoping review

BACKGROUND

Ultra-low-field magnetic resonance imaging (ULF-MRI) has emerged as an alternative with several portable clinical applications. This review aims to comprehensively explore its applications, potential limitations, technological advancements, and expert recommendations.

METHODS

A review of the literature was conducted across medical databases to identify relevant studies. Articles on clinical usage of ULF-MRI were included, and data regarding applications, limitations, and advancements were extracted. A total of 25 articles were included for qualitative analysis.

RESULTS

The review reveals ULF-MRI efficacy in intensive care settings and intraoperatively. Technological strides are evident through innovative reconstruction techniques and integration with machine learning approaches. Additional advantages include features such as portability, cost-effectiveness, reduced power requirements, and improved patient comfort. However, alongside these strengths, certain limitations of ULF-MRI were identified, including low signal-to-noise ratio, limited resolution and length of scanning sequences, as well as variety and absence of regulatory-approved contrast-enhanced imaging. Recommendations from experts emphasize optimizing imaging quality, including addressing signal-to-noise ratio (SNR) and resolution, decreasing the length of scan time, and expanding point-of-care magnetic resonance imaging availability.

CONCLUSION

This review summarizes the potential of ULF-MRI. The technology's adaptability in intensive care unit settings and its diverse clinical and surgical applications, while accounting for SNR and resolution limitations, highlight its significance, especially in resource-limited settings. Technological advancements, alongside expert recommendations, pave the way for refining and expanding ULF-MRI's utility. However, adequate training is crucial for widespread utilization.

Creating an innovation infrastructure in academic nursing

As interest in nurse-led health and health care innovation grows, we must prepare nurses with the skills, knowledge, and experiences necessary to lead in these areas. In this article we describe how schools of nursing can integrate innovation in their mission, describe actionable steps to position nurses as leaders in this space, and provide a case study example of how to infuse innovation into a school of nursing. CLINICAL RELEVANCE: In order for nurses to lead in health and healthcare innovation, schools of nursing and nursing programs must think strategically about the knowledge and skills the next generation of nurses will need and then support those innovation needs at all levels of research, education, and practice.

The social construction of the patient-physician relationship in the clinical encounter: Media frames on shared decision making in Germany

The literature on healthcare management has noted that shared decision-making (SDM) - a practice of organizing joint decisions between healthcare professionals and patients - should improve healthcare outcomes through patient engagement and autonomy, fostering patient-centeredness. While SDM projects are implemented across Europe and the US, the diffusion of the practice remains partial, and its' conceptualization scattered. Healthcare management literature explores SDM on the underlying assumption that its limited diffusion results from an information problem, implying objective criteria and rational behavior. The purpose of this research is to study the social construction of SDM within the clinical setting and the underlying rationales using the case of one of the largest healthcare markets worldwide - Germany. To capture the complexity of SDM, a frame analysis is conducted on its medial representations. News media is both influential in shaping public opinion, as well as in generating public discourse. This analysis enables one to elaborate different facets of the construct of SDM, to capture inherent patterns of facilitating and obstructing aspects and to explore consequences for the diffusion of SDM. Three facilitating and three obstructive frames on the implementation of SDM were identified. The polarities of these frames range from the questioning of one's decision-making authority to the perception of individual competence and decision-making agency. Moreover, this study reflects on how physicians' and patients' role for SDM is conceived.

Process evaluation of the implementation of the ABC method, an intervention for nurses dealing with challenging behaviour of patients with brain injury

BACKGROUND

Introducing new working methods is common in healthcare organisations. However, implementation of a new method is often suboptimal. This reduces the effectiveness of the innovation and has several other negative effects, for example on staff turnover. The aim of the current study was to implement the ABC method in residential departments for brain injured patients and to assess the quality of the implementation process. The ABC method is a simplified form of behavioural modification based on the concept that behaviour operates on the environment and is maintained by its consequences.

METHODS

Four residential departments for brain injured patients introduced the ABC method sequentially as healthcare innovation using a stepped-wedge design. A systematic process evaluation of the implementation was carried out using the framework of Saunders et al. Descriptive statistics were used to analyse the quantitative data; open questions were clustered.

RESULTS

The training of the ABC method was well executed and the nursing staff was enthusiastic and sufficiently involved. Important aspects for successful implementation had been addressed (like a detailed implementation plan and implementation meetings). However, facilitators and barriers that were noted were not addressed in a timely manner. This negatively influenced the extent to which the ABC method could be properly learned, implemented, and applied in the short and long term.

CONCLUSIONS

The most challenging part of the introduction of this new trained and introduced method in health care was clearly the implementation. To have a successful implementation serious attention is needed to tailor-made evidence-based implementation strategies based on facilitators and barriers that are identified during the implementation process. Bottlenecks in working with the ABC method have to be addressed as soon as possible. This likely requires 'champions' who are trained for the job, next to an organisation's management that facilitates the multidisciplinary teams and provides clarity about policy and agreements regarding the training and implementation of the new method. The current process evaluation and the recommendations may serve as an example for the implementation of new methods in other healthcare organisations.

Application of the Stanford Biodesign Framework in Healthcare Innovation Training and Commercialization of Market Appropriate Products: A Scoping Review

The Stanford Biodesign needs-centric framework can guide healthcare innovators to successfully adopt the 'Identify, Invent and Implement' framework and develop new healthcare innovations products to address patients' needs. This scoping review explored the application of the Stanford Biodesign framework for healthcare innovation training and the development of novel healthcare innovative products. Seven electronic databases were searched from their respective inception dates till April 2023: PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, ProQuest Dissertations, and Theses Global. This review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews and was guided by the Arksey and O'Malley's scoping review framework. Findings were analyzed using Braun and Clarke's thematic analysis framework. Three themes and eight subthemes were identified from the 26 included articles. The main themes are: (1) Making a mark on healthcare innovation, (2) Secrets behind success, and (3) The next steps. The Stanford Biodesign framework guided healthcare innovation teams to develop new medical products and achieve better patient health outcomes through the induction of training programs and the development of novel products. Training programs adopting the Stanford Biodesign approach were found to be successful in improving trainees' entrepreneurship, innovation, and leadership skills and should continue to be promoted. To aid innovators in commercializing their newly developed medical products, additional support such as securing funds for early start-up companies, involving clinicians and users in product testing and validation, and establishing new guidelines and protocols for the new healthcare products would be needed.

Assessing Entrepreneurial Characteristics of Healthcare Students Participating in an Entrepreneurial-Medicine Curriculum

This article was migrated. The article was marked as recommended. As innovation transforms the healthcare industry, medical institutions are increasingly incorporating business skills and concepts into their curricula. The goal of this study was to characterize the types of students who engage in these supplemental curricula with respect to four entrepreneurial characteristics: entrepreneurial interest, support, confidence, and intention. We sampled students participating in a healthcare Innovation Summit using a validated survey to assess these characteristics. The sampled population reported significantly positive Interest and Support regarding an entrepreneurial career (5.18 and 5.80; p-values <0.01), whereas Intention and Confidence did not significantly differ from neutral (4.02 and 3.78; p>0.05). There were significant positive correlations between individuals' entrepreneurial Interest and all other characteristics; demonstrated by Pearson's Correlation Coefficients of 0.74, 0.62, and 0.59 when comparing sample means of Interest versus Intention, Confidence, and Support, (p-values <0.05). In addition, significant correlation between Intention and Confidence was observed (Pearson's R = 0.78: p-values <0.05). Conversely, sample means for entrepreneurial Support were not significantly correlated with either Intent or Confidence (p-values >0.05). Our findings supply foundational data for understanding the growing cohort of individuals engaging in entrepreneurial-medicine. These data demonstrate the integrated nature of various entrepreneurial characteristics in these populations and support the idea that investment, which promotes one area, would translate to increases in others.

AI-driven triage in emergency departments: A review of benefits, challenges, and future directions

BACKGROUND

Emergency Departments (EDs) are critical in providing immediate care, often under pressure from overcrowding, resource constraints, and variability in patient prioritization. Traditional triage systems, while structured, rely on subjective assessments, which can lack consistency during peak hours or mass casualty events. AI-driven triage systems present a promising solution, automating patient prioritization by analyzing real-time data, such as vital signs, medical history, and presenting symptoms. This narrative review examines the key components, benefits, limitations, and future directions of AI-driven triage systems in EDs.

METHOD

This narrative review analyzed peer-reviewed articles published between 2015 and 2024, identified through searches in PubMed, Scopus, IEEE Xplore, and Google Scholar. Findings were synthesized to provide a comprehensive overview of their potential and limitations.

RESULTS

The review identifies substantial benefits of AI-driven triage, including improved patient prioritization, reduced wait times, and optimized resource allocation. However, challenges such as data quality issues, algorithmic bias, clinician trust, and ethical concerns are significant barriers to widespread adoption. Future directions emphasize the need for algorithm refinement, integration with wearable technology, clinician education, and ethical framework development to address these challenges and ensure equitable implementation.

CONCLUSION

AI-driven triage systems have the potential to transform ED operations by enhancing efficiency, improving patient outcomes, and supporting healthcare professionals in high-pressure environments. As healthcare demands continue to grow, these systems represent a vital innovation for advancing emergency care and addressing longstanding challenges in triage.

Benefits and challenges associated with implementation and ongoing use of automated dispensing cabinet for medicines: A scoping review

When deciding whether to adopt a digital healthcare technology, there is a need to fully grasp the benefits as well as understand any potential challenges from the outset, to enable appropriate mitigations to be considered as part of implementation plans. Automated dispensing cabinets (ADCs) have been increasingly used in hospitals as a means of streamlining medicines use workflows, facilitating medicine management, saving costs, and improving patient safety. Manufacturers commonly reference the benefits of ADCs but rarely outline the challenges. It is important that senior leaders in healthcare understand both the benefits and challenges of ADCs prior to implementation, to ensure the technology is implemented in areas where the benefits can be most maximally achieved and the challenges mitigated in so far as possible. A scoping review methodology was used to map existing literature focussing on the benefits and challenges of ADC use with medicines. Following a preliminary search to identify key terms, extensive literature searches were conducted in Medline, PubMed, CINAHL, Embase, Global Health, and Web of Science. Among 234 articles identified from the search, 54 articles were included for full data extraction. Extracted information included publication date and origin, study aims & objectives, study setting, medication distribution model, technology infrastructure, overarching category, area of focus, and key findings. The findings were discussed in terms of implications for broad trends and future research directions. Although results indicate that there is an abundance of published literature on benefits and challenges associated with ADC use with medicines, there are only a handful of UK studies. Differences in settings, distribution models, workflows and technology infrastructure limit the overall ability to generalise findings. Further UK-based studies carried out in different settings with varying levels of technological infrastructure is imperative to not only track the impact of ADCs but also to inform practice to ensure the continued delivery of benefits. Further studies focusing particularly on the impact of stock optimisation and the management of CDs (Controlled drugs) would be key areas of focus.

Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models' feasibility in clinical decision-making

BACKGROUND

Recent enhancements in Large Language Models (LLMs) such as ChatGPT have exponentially increased user adoption. These models are accessible on mobile devices and support multimodal interactions, including conversations, code generation, and patient image uploads, broadening their utility in providing healthcare professionals with real-time support for clinical decision-making. Nevertheless, many authors have highlighted serious risks that may arise from the adoption of LLMs, principally related to safety and alignment with ethical guidelines.

OBJECTIVE

To address these challenges, we introduce a novel methodological approach designed to assess the specific feasibility of adopting LLMs within a healthcare area, with a focus on clinical nursing, evaluating their performance and thereby directing their choice. Emphasizing LLMs' adherence to scientific advancements, this approach prioritizes safety and care personalization, according to the "Organization for Economic Co-operation and Development" frameworks for responsible AI. Moreover, its dynamic nature is designed to adapt to future evolutions of LLMs.

METHOD

Through integrating advanced multidisciplinary knowledge, including Nursing Informatics, and aided by a prospective literature review, seven key domains and specific evaluation items were identified as follows:A Peer Review by experts in Nursing and AI was performed, ensuring scientific rigor and breadth of insights for an essential, reproducible, and coherent methodological approach. By means of a 7-point Likert scale, thresholds are defined in order to classify LLMs as "unusable", "usable with high caution", and "recommended" categories. Nine state of the art LLMs were evaluated using this methodology in clinical oncology nursing decision-making, producing preliminary results. Gemini Advanced, Anthropic Claude 3 and ChatGPT 4 achieved the minimum score of the State of the Art Alignment & Safety domain for classification as "recommended", being also endorsed across all domains. LLAMA 3 70B and ChatGPT 3.5 were classified as "usable with high caution." Others were classified as unusable in this domain.

CONCLUSION

The identification of a recommended LLM for a specific healthcare area, combined with its critical, prudent, and integrative use, can support healthcare professionals in decision-making processes.