Healthcare Innovation Research Articles

Development and implementation of the Capstone Program on integrating career exploration and medical humanities at a medical school in Korea.

This study aimed to implement and evaluate the outcomes, perceptions, and satisfaction of the Capstone Program developed at the Catholic University of Korea, which integrates career exploration and medical humanities. This study was conducted with fourth-year medical students from 2017 to 2019. First, the study analyzed the trends in the results of Capstone Projects conducted by students as part of their career exploration, where they independently explored areas of interest and selected topics. Second, it qualitatively analyzed the content of individual reports in which students reflected on their experiences from a "medical humanities perspective" through the Capstone Program. Third, it examined students' perceptions and satisfaction with the Capstone Program. The analysis revealed that students chose research topics from a wide range of fields, including basic medicine, clinical medicine, global healthcare, and integrated healthcare systems and innovation. The students reported positive perceptions of their career exploration and research experiences through the Capstone Program, particularly valuing sessions like "Meetings with Seniors" within the conference framework. Students indicated that the Capstone Program enhanced their ability to think introspectively from a humanities perspective, deepening their understanding of their roles and responsibilities as medical professionals. The Capstone Program provides a significant opportunity for medical students to explore their career paths and engage in introspective reflection from the viewpoint of medical humanities and social sciences. Thus, the integration of programs like capstone into the broader medical curriculum, focusing on career guidance and the reinforcement of medical humanities education, is imperative.

The role of telestroke among pregnant mothers: Ground-breaking innovations in maternal healthcare

The role of telestroke among pregnant mothers: Ground-breaking innovations in maternal healthcare

Large Language Model Prompting Techniques for Advancement in Clinical Medicine.

Large Language Models (LLMs have the potential to revolutionize clinical medicine by enhancing healthcare access, diagnosis, surgical planning, and education. However, their utilization requires careful, prompt engineering to mitigate challenges like hallucinations and biases. Proper utilization of LLMs involves understanding foundational concepts such as tokenization, embeddings, and attention mechanisms, alongside strategic prompting techniques to ensure accurate outputs. For innovative healthcare solutions, it is essential to maintain ongoing collaboration between AI technology and medical professionals. Ethical considerations, including data security and bias mitigation, are critical to their application. By leveraging LLMs as supplementary resources in research and education, we can enhance learning and support knowledge-based inquiries, ultimately advancing the quality and accessibility of medical care. Continued research and development are necessary to fully realize the potential of LLMs in transforming healthcare.

A stakeholder co-design approach to designing a dental service for adults experiencing homelessness.

The homeless population faces a "cliff edge of inequality" when trying to access essential dental services. There are several additional barriers to accessing dental care in comparison to the general population and the heterogeneous nature of patients presents a significant challenge when designing dental services to meet their needs. Following the Smile4Life report in 2009, there is limited up-to-date and population-specific evidence available for the optimal model of service delivery. This study aimed to co-design principles for a prospective dental service for adults experiencing homelessness. A qualitative methodology was used to incorporate experts-by-experience into elements of co-designing a dental service for adults experiencing homelessness. The study combined elements of an experienced-based co-design framework for healthcare innovation with community-based participatory research. Focus groups with people experiencing homelessness and healthcare practitioners were conducted to identify principles for any prospective dental service, as well as several barriers and enablers to establishing a homeless dental service. The findings were transcribed and analysed using thematic analysis on Nvivo software. From the qualitative analysis five key themes emerged: (1) Impact and expectations of oral health while experiencing homelessness, (2) Barriers to accessing dental care; (3) Practitioner's views about homelessness and access to care; (4) Barriers to designing a homeless service and (5) Enablers for co-designing a new model of dental care delivery for the homeless population.Five key principles for a new model of homeless dental service were identified: (i) Services designed to address the needs of patients; (ii) Services delivered in a safe and welcoming environment (iii) Training and consistency of staff; (iv) Focus on dental education (v) Developing peer mentoring and peer support. While the barriers to accessing dental care while homeless are well established and understood by healthcare practitioners, more work is required to gain consensus on the most effective way to deliver an innovative a sustainable dental service for patients experiencing homelessness. Previous negative experiences, lack of readily available information on services and barriers to access in the current system could be addressed by developing peer mentors within the homeless community, empowering individuals to share their knowledge and skills to support others in improving their oral health.

What characteristics of clinical decision support system implementations lead to adoption for regular use? A scoping review

IntroductionDigital healthcare innovation has yielded many prototype clinical decision support (CDS) systems, however, few are fully adopted into practice, despite successful research outcomes. We aimed to explore the characteristics of...

The impact of counselors’ values and religious beliefs on their role identity and perspectives on heritable genome editing: a qualitative interview study

The implementation of the noninvasive prenatal test has shown the importance of involving future care providers in healthcare innovations at an early stage. Therefore, in this explorative study in-depth interviews were performed with Dutch midwife counselors who explicitly identify as religious, to explore how they currently deal with their worldview during counseling for prenatal anomaly screening and regarding their perspectives on heritable genome editing (HGE). HGE is a potentially disruptive technology in which a pregnancy is initiated with a modified embryo or gamete, thus passing on modified genes to a future child and the following generations. Currently, a significant majority of countries prohibit HGE. However, implications for healthcare policy and practice are discussed in an ongoing scientific and societal dialogue. Eleven counselors participated: eight Christians and three Muslims. Two main themes were identified: ‘a search for role identity as a healthcare counselor’ and ‘concerns about the application of HGE’. Our findings showed that both values and underlying worldview-based beliefs influence perspectives on current and emerging reproductive techniques. Healthcare counselors search for ways to harmonize their professional role with contrasting values based on worldview-based beliefs. Moreover, for HGE, counselors fear ‘slippery slopes’ regarding the boundaries between treatment and enhancement, the severity assessment of certain conditions, and society’s appreciation for the quality of life of people with disabilities. Regarding future implementation, counselors’ medical education might benefit from a focus not only on qualification (acquiring knowledge) but also on balancing between socialization (e.g., adhering the norm of nondirective counseling) and subjectification (being a ‘self’ in relation to everything learned). In the global call for broad public and stakeholder engagement to explore the acceptability of HGE, the influence of both values and beliefs should be deliberated.

Women’s experiences of risk-stratified breast cancer screening in the MyPeBS trial: a qualitative comparative study across two European countries

Objective Risk-stratification should improve the benefits-to-harms ratio for breast screening, whereby higher-risk women receive additional screening and low-risk women are screened less. This study investigated the effects of healthcare context by comparing how women in England and France experienced risk-based breast screening. Methods and measures Fifty-two women were purposively sampled from participants who underwent risk-based screening in the MyPeBS trial. Women received objectively-derived 5-year breast cancer risk estimates (low = < 1%, average = 1–1.66%, high = ≥ 1.67 to <6%, very-high-risk = ≥ 6%). This determined future trial-related screening schedules and prevention options. Semi-structured interviews were transcribed for thematic framework analysis. Results Two overarching themes were produced: the importance of supported risk communication and accessibility of risk management. Overall, risk-based breast screening was viewed positively. However, trial procedures, especially in risk estimate provision, differed across sites. Women at increased risk were more reassured when appointments were with specialist healthcare professionals (HCP). When absent, this resulted in reduced satisfaction with risk communication and greater uncertainty about its personal relevance. Low-risk women’s views on extended mammogram schedules seemed linked to how health services are organised differently. Conclusions Context is an important consideration regarding acceptability of healthcare innovations such as risk-stratified screening: it should not be assumed that findings from one country apply universally.

Enhancing Healthcare Efficiency: Integrating ChatGPT in Nursing Documentation.

Our study at Chi Mei Medical Center introduced "A+ Nurse," a ChatGPT-based LLM tool, into the nursing documentation process to enhance efficiency and accuracy. The tool offers optimized recording and critical reminders, reducing documentation time from 15 to 5 minutes per patient while maintaining record quality. Nurses appreciated the tool's intuitive design and its effectiveness in improving documentation. This successful integration of AI-generated content in healthcare illustrates the potential of AI to streamline processes and improve patient care, setting a precedent for future AI-driven healthcare innovations.

Opportunities, Risks, Strengths and Weaknesses of Robotic Systems in Early Neurological Rehabilitation.

Given the conference's focus on innovative healthcare solutions, our investigation into robotic assistance systems highlights crucial advancements in early motor rehabilitation, aligning closely with emerging healthcare priorities. In combination with conventional therapy, the assistance systems offer new possible therapy programs. They can be used to mobilize and move patients as early as possible. The paper discusses the possibilities that arise from their use and considers the obstacles that arise. As part of a qualitative survey, nine expert interviews from different fields were conducted to guide them on robotic assisted living systems. The results obtained were summarized by coding into categories and evaluated. Our analysis of 148 coding points from nine expert interviews reveals significant insights into the strengths and weaknesses of robotic systems in neurorehabilitation. Each point was meticulously categorized to reflect its impact on both practice and patient outcomes, highlighting the practical implications of our findings. The results of the survey and the literature indicate a positive effect of robotic assistance systems in early rehabilitation. Their use requires intensive monitoring and studies on the long-term application of the systems.

Development of an mHealth App by Experts for Queer Individuals' Sexual-Reproductive Health Care Services and Needs: Nominal Group Technique Study.

Queer individuals continue to be marginalized in South Africa; they experience various health care challenges (eg, stigma, discrimination, prejudice, harassment, and humiliation), mental health issues (eg, suicide and depression), and an increased spread of HIV or AIDS and sexually transmitted illnesses (STIs; chlamydia, gonorrhea, and syphilis). Mobile health (mHealth) apps have the potential to resolve the health care deficits experienced by health care providers when managing queer individuals and by queer individuals when accessing sexual-reproductive health care services and needs, thus ensuring inclusivity and the promotion of health and well-being. Studies have proven that the nominal group technique (NGT) could be used to solve different social and health problems and develop innovative solutions. This technique ensures that different voices are represented during decision-making processes and leads to robust results. This study aims to identify important contents to include in the development of an mHealth app for addressing the sexual-reproductive health care services and needs of queer individuals. We invited a group of 13 experts from different fields, such as researchers, queer activists, sexual and reproductive health experts, private practicing health care providers, innovators, and private health care stakeholders, to take part in a face-to-face NGT. The NGT was conducted in the form of a workshop with 1 moderator, 2 research assistants, and 1 principal investigator. The workshop lasted approximately 2 hours 46 minutes and 55 seconds. We followed and applied 5 NGT steps in the workshop for experts to reach consensus. The main question that experts were expected to answer was as follows: Which content should be included in the mHealth app for addressing sexual-reproductive health care services and needs for queer individuals? This question was guided by user demographics and background, health education and information, privacy and security, accessibility and inclusivity, functionality and menu options, personalization and user engagement, service integration and partnerships, feedback and improvement, cultural sensitivity and ethical considerations, legal and regulatory compliance, and connectivity and data use. Overall, experts voted and ranked the following main icons: menu options (66 points), privacy and security (39 points), user engagement (27 points), information hub (26 points), user demographics (20 points), connectivity (16 points), service integration and partnerships (10 points), functionalities (10 points), and accessibility and inclusivity (7 points). Conducting an NGT with experts from different fields, possessing vast skill sets, knowledge, and expertise, enabled us to obtain targeted data on the development of an mHealth app to address sexual-reproductive health care services and needs for queer individuals. This approach emphasized the usefulness of a multidisciplinary perspective to inform the development of our mHealth app and demonstrated the future need for continuity in using this approach for other digital health care innovations and interventions.

Detection and analysis of disease entities based on lung conditions

The article presents a method for detecting and analysing disease entities associated with lung diseases. The results are related to work on the design of a medical diagnostic system based on impedance tomography. One of the key features of the solution is its ability to diagnose respiratory diseases, particularly chronic obstructive pulmonary disease (COPD), acute respiratory distress syndrome (ARDS) and pneumothorax (PTX). The article describes the results of a classification model that effectively distinguishes between healthy and sick patients, achieving an impressive accuracy of 99.86%. This result underscores the robustness and reliability of the model. The conclusions of the presented research can serve as a basis for further work on improving diagnostic methods and introducing innovative healthcare solutions for patients with respiratory diseases, which may enable faster and more accurate diagnoses of lung diseases and provide more effective treatment and care for patients.

Ethical challenges in healthcare innovation: A leadership perspective.

Innovation is essential for advancing and sustaining healthcare systems, particularly in hospitals. While innovation offers solutions to challenges such as chronic disease management, access to care, and patient safety, it also introduces significant ethical dilemmas for health leaders. This column explores the broad ethical issues associated with healthcare innovation, focusing on resource allocation, support for diverse healthcare professions, equitable access to care, and the emphasis on technology-based innovations. It highlights the complexities of funding innovation through government, private sector, universities, donors, and the unpaid work of healthcare providers. The column also addresses the disparities in innovation support across different professions and the potential for innovation to exacerbate healthcare inequities. Potential solutions are proposed, including the establishment of interdisciplinary councils, dedicated innovation funds, and public-private partnerships. By prioritizing ethical leadership and balanced innovation strategies, health leaders can ensure that advancements benefit all stakeholders, fostering a more equitable and sustainable healthcare system in Canada.

Advancing Flexible Sensors through On-Demand Regulation of Supramolecular Nanostructures.

The evolution of flexible sensors heavily relies on advances in soft-material design and sensing mechanisms. Supramolecular chemistry offers a powerful toolbox for manipulating nanoscale and molecular structures within soft materials, thus fostering recent advancements in flexible sensors and electronics. Supramolecular interactions have been utilized to nanoengineer functional sensing materials or construct chemical sensors with lower cost and broader targets. In this perspective, we will highlight the use of supramolecular interactions to regulate and optimize nanostructures within functional soft materials and illustrate their importance in expanding the nanocavities of bioreceptors for chemical sensing. Overall, a bridge between tissue-mimicking flexible sensors and cell-mimetic supramolecular chemistry has been built, which will further advance human healthcare innovation.

Shifting from Theoretical Best Evidence to Practical Best Evidence: an Approach to Overcome Structural Conservatism of Evidence-Based Medicine and Health Policy.

There is disparity in the healthcare sector between the extent of innovation in medical products (e. g., drugs) and healthcare structures. The reason is not a lack of ideas, concepts, or (quasi-) experimental studies on structural innovations. Instead, we argue that the slow implementation of structural innovations has created this disparity partly because evidence-based medicine (EBM) instruments are well suited to evaluate product innovations but less suited to evaluate structural innovations. This article argues that the unintentional interplay between EBM, which has changed significantly over time to become primarily theoretical, on the one hand, and caution and inertia in health policy, on the other, has resulted in structural conservatism. Structural conservatism is present when healthcare structures persistently and essentially resist innovation. We interpret this phenomenon as an unintended consequence of deliberate EBM action. Therefore, we propose a new assessment framework to respond to structural innovations in healthcare, centered on the differentiation between the theoretical best (possible) evidence, the practical best (possible) evidence, and the best available evidence.

Social psychiatry in Oxford and its ecological niche, 1959-1988.

This paper reflects on a special edition of the journal History of Psychiatry and a related symposium held at Somerville College, Oxford, exploring the innovations in mental healthcare in Oxfordshire led by Dr Bertram Mandelbrote between 1959 and 1988. I draw on clinical culture, biography, mental health policy and my lived experience to understand Mandelbrote's life and work, and his legacy and lessons for contemporary psychiatrists. I explore the ecological niche that Mandelbrote created and conclude with the probable importance of his relationship with Professor Michael Gelder, who led the University of Oxford Department of Psychiatry at the time.

Our Journey from Individual Efforts to Nationwide Support: Implementing Newborn Screening for Spinal Muscular Atrophy in Serbia.

Innovative treatments for spinal muscular atrophy (SMA) yield the utmost advantages only within the presymptomatic phase, underlining the significance of newborn screening (NBS). We aimed to establish statewide NBS for SMA in Serbia. Our stepwise implementation process involved technical validation of a screening assay, collaboration with patient organizations and medical professionals, a feasibility study, and negotiation with public health representatives. Over 12,000 newborns were tested during the 17-month feasibility study, revealing two unrelated SMA infants and one older sibling. All three children received therapeutic interventions during the presymptomatic phase and have shown no signs of SMA. No false-negative results were found among the negative test results. As frontrunners in this field in Serbia, we established screening and diagnostic algorithms and follow-up protocols and raised awareness among stakeholders about the importance of early disease detection, leading to the incorporation of NBS for SMA into the national program on 15 September 2023. Since then, 54,393 newborns have been tested, identifying six SMA cases and enabling timely treatment. Our study demonstrates that effective collaborations between academia, non-profit organizations, and industry are crucial in bringing innovative healthcare initiatives to fruition, and highlights the potential of NBS to revolutionize healthcare outcomes for presymptomatic SMA infants and their families.

Design and validation of an instrument to evaluate Person-Centered care in health services

BackgroundThe concept of quality in health care has evolved, placing greater importance on the patient’s needs, culture, and social context, as well as their participation in clinical decision-making, as highlighted by Mead and Bower’s Person-Centered Care Model. The aim of the present study was to design and validate an instrument to assess the extent to which healthcare services provided by PEMEX (Petróleos Mexicanos) offer person-centered care according to user perceptions.MethodsThe first phase comprised the development of 57 items based on the analysis of responses from an open-ended questionnaire administered to 30 users of Pemex healthcare services. This questionnaire was designed considering the four factors of the person-centered care model, however, the high correlation between the 4 factors (i.e., r ≥ .80) indicated an overfactoring effect and consequently an increase in the risk of overfitting. Therefore, an exhaustive analysis of the instrument was performed, starting with the review of the individual behavior of each item, and carrying out exploratory and confirmatory factor analysis. Using a sample of 330 individuals, an exploratory factor analysis was perfomed. Afterward, a confirmatory factorial analysis was carried out with 335 participants. Finally, a new confirmatory factorial analysis included 130 participants due to the refinements made in the previous phase. Internal consistency was assessed using Cronbach’s α and McDonald’s ω at every phase.ResultsThe exploratory factor analysis retained 35 items in a single factor that accounted for 49% of the variance with an internal consistency of Cronbach’s α and McDonald’s ω = 0.97. Because the factorial structure by confirmatory factorial analysis was unsatisfactory, the initial model was refined, leading to the retention of 11 items and a final model with adjustment index of χ2 = 127.53, χ2/gl = 2.89, RMSEA = 0.07, IC RMSEA 0.06 to 0.09, TLI = 0.95 and CFI = 0.96, with an internal consistency of Cronbach’s α and McDonald’s ω = 0.93. Due to the refinements, a new confirmatory factorial analysis was conducted with suitable goodness-of-fit criteria in most items (χ2 = 151.44, χ2/gl = 3.43, RMSEA = 0.13, IC RMSEA 0.11 to 0.16, TLI = 0.93 and CFI = 0.94), resulting in a Cronbach’s α and McDonald’s ω = 0.98.ConclusionsThe instrument exhibits suitable psychometric properties to be employed to measure the degree to which medical care is patient centered. This instrument represents a strategy for promoting an innovative healthcare model.

Innovations in HIV Treatment and Care in Uganda: Evaluating the Impact of New Antiretroviral Therapies and Healthcare Models

Uganda has made significant strides in the fight against HIV/AIDS through the implementation of innovative treatment strategies and healthcare models. This review article examines recent advancements in antiretroviral therapy (ART) and novel healthcare models adopted in Uganda, evaluating their impact on patient outcomes and healthcare delivery. By analyzing the latest developments in ART, including new drug regimens and long-acting formulations, and exploring innovative healthcare models such as community-based care and task-shifting, this review aims to assess how these innovations contribute to improved HIV treatment and care in Uganda. This article evaluates these innovations’ impact on treatment outcomes and healthcare delivery, based on a comprehensive review of recent studies and programmatic reports. The findings highlight the effectiveness of these innovations in enhancing adherence, reducing transmission, and improving the overall quality of life for people living with HIV. Keywords: Antiretroviral Therapy (ART), Community-Based Care, Fixed-Dose Combinations (FDCs), Long-Acting Formulations, Task-Shifting

An Artificial Intelligence (AI)-Integrated Approach to Enhance Early Detection and Personalized Treatment Strategies in Lung Cancer Among Smokers: A Literature Review.

Lung cancer (LC) is a significant global health issue, particularly among smokers, and is characterized by high rates of incidence and mortality. This comprehensive review offers detailed insights into the potential of artificial intelligence (AI) to revolutionize early detection and personalized treatment strategies for LC. By critically evaluating the limitations of conventional methodologies, we emphasize the innovative potential of AI-driven risk prediction models and imaging analyses to enhance diagnostic precision and improve patient outcomes. Our in-depth analysis of the current state of AI integration in LC care highlights the achievements and challenges encountered in real-world applications, thereby shedding light on practical implementation. Furthermore, we examined the profound implications of AI on treatment response, survival rates, and patient satisfaction, addressing ethical considerations to ensure responsible deployment. In the future, we will outline emerging technologies, anticipate potential barriers to their adoption, and identify areas for further research, emphasizing the importance of collaborative efforts to fully harness the transformative potential of AI in reshaping LC therapy. Ultimately, this review underscores the transformative impact of AI on LC care and advocates for a collective commitment to innovation, collaboration, and ethical stewardship in healthcare.

Mapping biomimicry research to sustainable development goals

This study systematically evaluates biomimicry research within the context of sustainable development goals (SDGs) to discern the interdisciplinary interplay between biomimicry and SDGs. The alignment of biomimicry with key SDGs showcases its interdisciplinary nature and potential to offer solutions across the health, sustainability, and energy sectors. This study identified two primary thematic clusters. The first thematic cluster focused on health, partnership, and life on land (SDGs 3, 17, and 15), highlighting biomimicry's role in healthcare innovations, sustainable collaboration, and land management. This cluster demonstrates the potential of biomimicry to contribute to medical technologies, emphasizing the need for cross-sectoral partnerships and ecosystem preservation. The second thematic cluster revolves around clean water, energy, infrastructure, and marine life (SDGs 6, 7, 9, and 14), showcasing nature-inspired solutions for sustainable development challenges, including energy generation and water purification. The prominence of SDG 7 within this cluster indicates that biomimicry significantly contributes to sustainable energy practices. The analysis of thematic clusters further revealed the broad applicability of biomimicry and its role in enhancing sustainable energy access and promoting ecosystem conservation. Emerging research topics, such as metaheuristics, nanogenerators, exosomes, and bioprinting, indicate a dynamic field poised for significant advancements. By mapping the connections between biomimicry and SDGs, this study provides a comprehensive overview of the field's trajectory, emphasizing its importance in advancing global sustainability efforts.