Frontiers in digital health最新文献

{"title":"A human-centered perspective on research challenges for hybrid human artificial intelligence in lifestyle and behavior change support.","authors":"Chenxu Hao, Susanne Uusitalo, Caroline Figueroa, Quirine T S Smit, Michael Strange, Wen-Tseng Chang, M I Ribeiro, Vanita Kouomogne Nana, Myrthe L Tielman, Maaike H T de Boer","doi":"10.3389/fdgth.2025.1544185","DOIUrl":"10.3389/fdgth.2025.1544185","url":null,"abstract":"<p><p>As intelligent systems become more integrated into people's daily life, systems designed to facilitate lifestyle and behavior change for health and well-being have also become more common. Previous work has identified challenges in the development and deployment of such AI-based support for diabetes lifestyle management and shown that it is necessary to shift the design process of AI-based support systems towards a human-centered approach that can be addressed by hybrid intelligence (HI). However, this shift also means adopting a user-centric design process, which brings its own challenges in terms of stakeholder involvement, evaluation processes and ethical concerns. In this perspective paper, we aim to more comprehensively identify challenges and future research directions in the development of HI systems for behavior change from four different viewpoints: (1) challenges on an individual level, such as understanding the individual end-user's context (2) challenges on an evaluation level, such as evaluation pipelines and identifying success criteria and (3) challenges in addressing ethical implications. We show that developing HI systems for behavior change is an interdisciplinary process that requires further collaboration and consideration from various fields.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1544185"},"PeriodicalIF":3.2,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11965347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial intelligence application in counselling practices. A multigroup analysis of acceptance and awareness using gender and professional rank.","authors":"Usani Joseph Ofem, Pauline Mbua Anake, Cyril Bisong Abuo, James Omaji Ukatu, Eugene Onor Etta","doi":"10.3389/fdgth.2024.1414178","DOIUrl":"10.3389/fdgth.2024.1414178","url":null,"abstract":"<p><strong>Introduction: </strong>Artificial intelligence (AI) has emerged as a transformative tool in various professional domains, including counselling, where it offers innovative ways to enhance service delivery and client outcomes. Despite its potential, research on AI in counselling practices often focuses on its technical applications, with limited attention to the interplay between awareness, acceptance, and application. This study analyses how professional counsellors apply artificial intelligence in counselling practices using the nexus between awareness and application through acceptance of AI with gender and professional rank as group.</p><p><strong>Method: </strong>A total of 5,432 professional counsellors were selected for the study. Data collection was conducted online to ensure a wide reach. The research instruments underwent validity checks, demonstrating high content and factorial validity. Convergent and discriminant validity were confirmed using the Average Variance Extracted (AVE) and Fornel-Larcker criterion.</p><p><strong>Results: </strong>The findings revealed that professional counsellors exhibited high levels of awareness, acceptability, and application of AI in their counselling practices. Acceptance played a positive mediating role in the relationship between awareness and application. However, male practitioners and professors displayed stronger awareness, acceptance, and application of AI tools compared to their counterparts.</p><p><strong>Conclusion: </strong>The study highlights the significant role of acceptance in bridging awareness and application of AI in counselling practices. It underscores the importance of addressing gender and professional rank disparities to ensure equitable adoption and utilization of AI tools. The findings offer valuable insights for policymakers in promoting the integration of AI in counselling to enhance professional practices.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"6 ","pages":"1414178"},"PeriodicalIF":3.2,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962729/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143775094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthetic data generation: a privacy-preserving approach to accelerate rare disease research.","authors":"Jorge M Mendes, Aziz Barbar, Marwa Refaie","doi":"10.3389/fdgth.2025.1563991","DOIUrl":"10.3389/fdgth.2025.1563991","url":null,"abstract":"<p><p>Rare disease research faces significant challenges due to limited patient data, strict privacy regulations, and the need for diverse datasets to develop accurate AI-driven diagnostics and treatments. Synthetic data-artificially generated datasets that mimic patient data while preserving privacy-offer a promising solution to these issues. This article explores how synthetic data can bridge data gaps, enabling the training of AI models, simulating clinical trials, and facilitating cross-border collaborations in rare disease research. We examine case studies where synthetic data successfully replicated patient characteristics, and supported predictive modelling and ensured compliance with regulations like GDPR and HIPAA. While acknowledging current limitations, we discuss synthetic data's potential to revolutionise rare disease research by enhancing data availability and privacy file enabling more efficient and effective research efforts in diagnosing, treating, and managing rare diseases globally.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1563991"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11958975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143764401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experience developing a pediatric medical chatbot in Singapore: a digital innovation for improved emergency care.","authors":"Choo Min, Rong Xiu Cynthia Lim, Sek Wan Tan, Sashikumar Ganapathy","doi":"10.3389/fdgth.2025.1557804","DOIUrl":"10.3389/fdgth.2025.1557804","url":null,"abstract":"<p><p>This community case study explores the lessons learnt from the development of the Urgent Paediatric Advice Line (UPAL), a medical chatbot designed to address key challenges in pediatric healthcare, including emergency department (ED) overcrowding, health-seeking behavior, and health literacy. The chatbot was developed by pediatric specialists in collaboration with an AI-driven technology partner to provide caregivers with timely, accurate, and accessible guidance for managing pediatric health concerns. By helping parents assess the severity of their child's symptoms and navigate appropriate care pathways, UPAL aims to reduce unnecessary ED visits and improve health literacy. The development process employed an iterative, user-centered approach to refine the algorithm and enhance the user experience, with key challenges including balancing clinical reliability with user empathy. By offering evidence-based advice tailored to individual symptoms, UPAL empowers caregivers to make more informed decisions about their child's care. This case study highlights the potential of digital health solutions to empower caregivers, improve patient engagement, and increase healthcare access, particularly in pediatric settings. The study underscores the lessons for the field-namely the importance of interdisciplinary collaboration, continuous iterative development, patient-centered design, and active stakeholder engagement in creating effective digital health tools. Looking forward, future developments will include the incorporation of generative AI to provide more humanistic and personalized responses, as well as the creation of a post-discharge outreach module to provide proactive post-discharge support to caregivers, further enhancing healthcare delivery in a rapidly evolving digital landscape.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1557804"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stepping toward implementation using co-design: development of hospital protocols and resources for using wearable activity trackers in a hospital service.","authors":"Kimberley Szeto, Aaron Davis, John Arnold, Ian Gwilt, Aislin Forrest, Isaac Heyne, Anthony Hewitt, Peter Diestel-Feddersen, Dominique Edwards, Ben Singh, Carol Maher","doi":"10.3389/fdgth.2025.1520991","DOIUrl":"10.3389/fdgth.2025.1520991","url":null,"abstract":"<p><strong>Introduction: </strong>Low levels of patient physical activity during a hospital stay are linked to a variety of poor outcomes. Wearable activity trackers can help to boost patient activity and improve other outcomes during a hospitalisation, but a range of implementation barriers exist. Co-design research methodologies provide opportunities to bridge evidence-practice gaps, such as the implementation of wearable activity trackers to promote patient activity, by developing solutions and strategies in collaboration with key stakeholders. This co-design study aimed to develop a protocol and resources to support the implementation of wearable activity trackers into a rehabilitation service at a South Australian hospital.</p><p><strong>Methods: </strong>Three co-design workshops that employed an involvement partnership with 26 rehabilitation clinicians were conducted. User journey storyboards, empathy maps, and world café activities were used to understand processes of using technology with patients in the hospital, identify protocol components for using WATs, and create resources to support its implementation.</p><p><strong>Results: </strong>Using a co-design approach, this study developed a protocol for using WATs in a hospital rehabilitation services, identified key themes underpinning its implementation, and created a set of resources to support its delivery.</p><p><strong>Discussion: </strong>This study identified key elements to support implementation of WATs in hospital rehabilitation, and expands the evidence base for using co-design approaches in health research, and may support WAT implementation in other settings.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1520991"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959083/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital stress and friendship conflict in adolescence: the role of perceived norms and features of social media.","authors":"Federica Angelini, Gianluca Gini","doi":"10.3389/fdgth.2025.1497222","DOIUrl":"10.3389/fdgth.2025.1497222","url":null,"abstract":"<p><strong>Introduction: </strong>Digital stress, resulting from expectations of online availability, can increase the risk of conflicts with friends. However, friendship conflict remains an underexplored indicator, particularly in association with stressful online experiences. This study aims to examine the association between digital stress and conflict levels overtime, considering the role of social media expectations.</p><p><strong>Method: </strong>1185 adolescents (59.3% f, Mage = 15.97 years, <i>SD</i> = 1.43) completed self-report measures at two timepoints, six months apart. A Structural Equation Model was employed to examine the longitudinal associations of social media expectations (i.e., friends' social media norms, friends' social media use, and perceived social media features) on friendship conflict, focusing on the mediating role of digital stress (i.e., entrapment and disappointment). Gender differences were explored.</p><p><strong>Results: </strong>Perceived norms about social media use and unique features of social media (i.e., visualness) contributed to explain digital stress and, in turn, friendship conflict. Specifically, emotional responses to unmet expectations of availability on social media (i.e., disappointment) emerged as particularly relevant in explaining conflictual interactions, compared to the perceived pressure to be responsive to friends (i.e., entrapment). Males perceiving high availability of social media experience lower levels of entrapment, compared to females.</p><p><strong>Discussion: </strong>Results from this study support the importance of considering social media as a context where to study friendship dynamics, as this knowledge can have several implications for promoting positive online experiences and preventing conflicts with friends.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1497222"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated portable ECG monitoring system with CNN classification for early arrhythmia detection.","authors":"Aayush Panwar, Modigari Narendra, Arnav Arya, Rohan Raj, Arnab Kumar","doi":"10.3389/fdgth.2025.1535335","DOIUrl":"10.3389/fdgth.2025.1535335","url":null,"abstract":"<p><strong>Introduction: </strong>Electrocardiograms (ECGs) play a crucial role in diagnosing heart diseases by capturing the electrical activity of the heart. With the rising need for real-time cardiac monitoring, portable solutions have gained significance for timely detection and intervention. This study presents a portable ECG monitoring system incorporating Convolutional Neural Networks (CNNs) for accurate classification of cardiac abnormalities, including arrhythmias.</p><p><strong>Methods: </strong>The proposed system consists of an Arduino Nano microcontroller interfaced with an AD8232 ECG sensor for real-time ECG signal acquisition. The collected ECG data undergoes preprocessing before being fed into CNN models trained on the MIT-BIH Arrhythmia dataset. The model is designed for both binary and multi-class classification, distinguishing normal and abnormal heart rhythms. Performance metrics, including accuracy, were evaluated against state-of-the-art approaches to assess classification effectiveness.</p><p><strong>Results: </strong>Experimental evaluations demonstrate the CNN model's high classification accuracy, achieving 98.35% in binary classification and 99.3% in multi-class classification. These results surpass existing benchmarks, highlighting the efficiency of the proposed system. The system's low-cost hardware and real-time classification capabilities enhance its suitability for continuous cardiac monitoring.</p><p><strong>Discussion: </strong>The proposed ECG monitoring system presents a reliable and cost-effective solution for early arrhythmia detection. By leveraging CNNs, it ensures accurate classification of cardiac abnormalities, making it a promising tool for both clinical and remote healthcare settings. Its potential impact extends to real-time monitoring, early diagnosis, and personalized healthcare, contributing to improved cardiovascular health management.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1535335"},"PeriodicalIF":3.2,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959012/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143766063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Immersive solutions: South African community service nurses' perspectives on virtual reality potential in hypertension management.","authors":"Jayd Brittany Vitorino Clara, Charlene Downing, Patrick Ndayizigamiye, Pieter Herman Myburgh","doi":"10.3389/fdgth.2025.1430438","DOIUrl":"10.3389/fdgth.2025.1430438","url":null,"abstract":"<p><strong>Introduction: </strong>With the rapid development of information technology globally and the scarcity of educators in higher education institutions, educational reforms are crucial to prepare students for an advancing and complex work environment. Virtual reality (VR) makes education widely available as it bridges the gap between students and educators, as educators and students enter an immersive world where educators can guide students.</p><p><strong>Aim: </strong>The researchers' aim for this study was to explore community service nurses' (CSN's) experiences with a VR prototype when managing a hypertensive patient.</p><p><strong>Method: </strong>The study comprised nine CSN with varied knowledge, skills, experiences, and who have been allocated to certain disciplines within a public hospital. The study was split into three phases: phase one, focus group and individual interviews were used to gain an understanding of the CSN's current knowledge and experiences regarding the assessment and implementation of nursing interventions used in the management of hypertensive patients. In the second phase, participants were exposed to the VR environment, where they were prompted by the programmed patient avatar to perform several nursing diagnostic procedures and interpret the clinical data provided in order to formulate a nursing diagnosis. During the third phase, the researchers conducted focus groups and individual interviews to acquire and comprehend the participants experiences regarding their interaction with the VR prototype and describe the benefits and drawbacks of the prototype they encountered.</p><p><strong>Results: </strong>Constructive feedback and recommendations were provided by participants regarding the VR program's interactiveness and the accuracy of diagnostic tests. Participants claimed the experience was enjoyable, and based on the researchers' observations, the VR program stimulated critical thinking as well as clinical reasoning as intended. Their feedback was used to alter the VR prototype before the main study's commencement.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1430438"},"PeriodicalIF":3.2,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955627/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrative review on children's perceived and experienced subjective digital well-being.","authors":"Halla Björk Holmarsdottir, Idunn Seland, Liudmila Zinoveva, Monica Barbovschi, Alina Bărbuță, Dimitris Parsanoglou, Maria Symeonaki","doi":"10.3389/fdgth.2025.1410609","DOIUrl":"10.3389/fdgth.2025.1410609","url":null,"abstract":"<p><p>This review examines children's perceived and experienced subjective digital well-being by investigating their digital activities, behaviours and online relationships across three domains (Family, Leisure, and Education) presenting children's own perspectives. The included studies are limited to research published between 2011 and 2021 using European samples incorporating children aged 5-17 years. While research on children's digital well-being has expanded over the last two decades, the novelty of this review is that it presents research across all activity domains, representing an ecological approach to child development, one that aims to capture children's own views. The 23 studies identified for the review show, first, an apparent shortage of studies on children's well-being involving digital technologies that incorporate children's own perspectives on their situation. Second, the review shows that these studies relate primarily to well-being outcomes categorised as either social, emotional and cultural outcomes or as cognitive development and educational outcomes. Directions for further research on children's digital well-being are suggested.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1410609"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949879/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions.","authors":"Lillian Sung, Michael Brudno, Michael C W Caesar, Amol A Verma, Brad Buchsbaum, Ravi Retnakaran, Vasily Giannakeas, Azadeh Kushki, Gary D Bader, Helen Lasthiotakis, Muhammad Mamdani, Lisa Strug","doi":"10.3389/fdgth.2025.1511943","DOIUrl":"10.3389/fdgth.2025.1511943","url":null,"abstract":"<p><strong>Objectives: </strong>To describe successful and unsuccessful approaches to identify scenarios for data science implementations within healthcare settings and to provide recommendations for future scenario identification procedures.</p><p><strong>Materials and methods: </strong>Representatives from seven Toronto academic healthcare institutions participated in a one-day workshop. Each institution was asked to provide an introduction to their clinical data science program and to provide an example of a successful and unsuccessful approach to scenario identification at their institution. Using content analysis, common observations were summarized.</p><p><strong>Results: </strong>Observations were coalesced to idea generation and value proposition, prioritization, approval and champions. Successful experiences included promoting a portfolio of ideas, articulating value proposition, ensuring alignment with organization priorities, ensuring approvers can adjudicate feasibility and identifying champions willing to take ownership over the projects.</p><p><strong>Conclusion: </strong>Based on academic healthcare data science program experiences, we provided recommendations for approaches to identify scenarios for data science implementations within healthcare settings.</p>","PeriodicalId":73078,"journal":{"name":"Frontiers in digital health","volume":"7 ","pages":"1511943"},"PeriodicalIF":3.2,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}