Health Informatics Journal最新文献_第8页

Researching public health datasets in the era of deep learning: a systematic literature review.

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582241307839

Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, Aseel Al-Njadat, Sriram Srinivasan

{"title":"Researching public health datasets in the era of deep learning: a systematic literature review.","authors":"Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, Aseel Al-Njadat, Sriram Srinivasan","doi":"10.1177/14604582241307839","DOIUrl":"10.1177/14604582241307839","url":null,"abstract":"Objective: Explore deep learning applications in predictive analytics for public health data, identify challenges and trends, and then understand the current landscape. Materials and Methods: A systematic literature review was conducted in June 2023 to search articles on public health data in the context of deep learning, published from the inception of medical and computer science databases through June 2023. The review focused on diverse datasets, abstracting applications, challenges, and advancements in deep learning. Results: 2004 articles were reviewed, identifying 14 disease categories. Observed trends include explainable-AI, patient embedding learning, and integrating different data sources and employing deep learning models in health informatics. Noted challenges were technical reproducibility and handling sensitive data. Discussion: There has been a notable surge in deep learning applications on public health data publications since 2015. Consistent deep learning applications and models continue to be applied across public health data. Despite the wide applications, a standard approach still does not exist for addressing the outstanding challenges and issues in this field. Conclusion: Guidelines are needed for applying deep learning and models in public health data to improve FAIRness, efficiency, transparency, comparability, and interoperability of research. Interdisciplinary collaboration among data scientists, public health experts, and policymakers is needed to harness the full potential of deep learning.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582241307839"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Diabetes apps cannot "stand alone": A qualitative study of facilitators and barriers to the continued use of diabetes apps among type 2 diabetes. 糖尿病应用程序不能“独立”：一项关于2型糖尿病患者继续使用糖尿病应用程序的促进因素和障碍的定性研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251317914

Yucong Shen, Jingyun Zheng, Lingling Lin, Liyuan Hu, Zhongqiu Lu, Chenchen Gao

{"title":"Diabetes apps cannot \"stand alone\": A qualitative study of facilitators and barriers to the continued use of diabetes apps among type 2 diabetes.","authors":"Yucong Shen, Jingyun Zheng, Lingling Lin, Liyuan Hu, Zhongqiu Lu, Chenchen Gao","doi":"10.1177/14604582251317914","DOIUrl":"10.1177/14604582251317914","url":null,"abstract":"Background: Diabetes apps have the potential to improve self-management among people with type 2 diabetes mellitus (T2DM) and thereby prevent complications. However, premature disengagement of diabetes apps hinders this potential. Objective: This study aimed to identify facilitators of and barriers to the continued use of apps among T2DM patients and to formulate recommendations to enhance patients' adherence to diabetes apps. Design: Qualitative study that followed the Consolidated Criteria for Reporting. Qualitative Research (COREQ) guidelines. Methods: Semi-structured interviews were conducted among 15 T2DM patients who continued real-world use of a diabetes app over 1 month. Data were analyzed using conventional content analysis. Results: The results showed that patients were triggered to continue app use by internally directed facilitators (health concerns, need for knowledge, self-conscious emotions) and externally directed facilitators (change in medication, reminders from health professionals). However, app use declined among all participants due to user-specific barriers (increased knowledge and experience, therapeutic inertia, diabetes stigma) and app-specific barriers. Notably, different app-specific barriers were identified in different self-managers: for novice self-managers, the app provided inconsistent information; for competent self-managers, the app provided invalid information and service; and for expert self-managers, the app was no longer being intelligent and new. Conclusions: The success of diabetes app continuance cannot be achieved by diabetes apps alone; rather, diabetes patients, health professionals, medical organizations, regulators, and integration technologies need to be gathered. Consistent, relevant, and current information, timely and continual service, psychological support should be guaranteed.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251317914"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A blueprint for large language model-augmented telehealth for HIV mitigation in Indonesia: A scoping review of a novel therapeutic modality. 印度尼西亚用于减轻艾滋病毒的大型语言模型增强远程保健蓝图：对一种新型治疗方式的范围审查。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251315595

Daniel Busch, Choiru Za'in, Hei Man Chan, Agnes Haryanto, Wahyudi Agustiono, Kan Yu, Kyra Hamilton, Jeroen Kroon, Wei Xiang

{"title":"A blueprint for large language model-augmented telehealth for HIV mitigation in Indonesia: A scoping review of a novel therapeutic modality.","authors":"Daniel Busch, Choiru Za'in, Hei Man Chan, Agnes Haryanto, Wahyudi Agustiono, Kan Yu, Kyra Hamilton, Jeroen Kroon, Wei Xiang","doi":"10.1177/14604582251315595","DOIUrl":"10.1177/14604582251315595","url":null,"abstract":"Background: The HIV epidemic in Indonesia is one of the fastest growing in Southeast Asia and is characterised by a number of geographic and sociocultural challenges. Can large language models (LLMs) be integrated with telehealth (TH) to address cost and quality of care? Methods: A literature review was performed using the PRISMA-ScR (2018) guidelines between Jan 2017 and June 2024 using the PubMed, ArXiv and semantic scholar databases. Results: Of the 694 records identified, 12 studies met the inclusion criteria. Although the role of eHealth interventions as well as telehealth in HIV management appears well established, there is a significant literature gap on the integration of telehealth and LLM technology. To address this, we provide a blueprint for the safe and ethical integration of LLM-TH into triage, history taking, patient education highlighting opportunities for reduced consultation time and improved quality of care. Conclusions: Variable access to mobile technology and the need for empirical validation stand out as limitations for LLM-TH. However, we argue that the current evidence base suggests the benefits far outweigh the challenges in applying LLM-TH for HIV care in Indonesia. We also argue this novel therapeutic modality is broadly applicable to the subacute general practice setting.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251315595"},"PeriodicalIF":2.2,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143016825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Features and effectiveness of electronic audit and feedback for patient safety and quality of care in hospitals: A systematic review. 电子审计和反馈对医院患者安全和护理质量的特点和有效性：系统回顾。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-01-01 DOI: 10.1177/14604582251315414

James Soresi, Christina Bertilone, Eileen Banks, Theresa Marshall, Kevin Murray, David B Preen

{"title":"Features and effectiveness of electronic audit and feedback for patient safety and quality of care in hospitals: A systematic review.","authors":"James Soresi, Christina Bertilone, Eileen Banks, Theresa Marshall, Kevin Murray, David B Preen","doi":"10.1177/14604582251315414","DOIUrl":"10.1177/14604582251315414","url":null,"abstract":"Background: Increasing digitisation in healthcare is flowing through to quality improvement strategies, like audit and feedback. Objectives: To systematically review electronic audit and feedback (e-A&F) interventions in hospital settings, examining contemporary practices and quantitatively assessing the relationship between features and effectiveness. Methods: We performed a systematic review using a structured search strategy from 2011 to July 2022. Searches yielded a total of 5095 unique publications, with 152 included in a descriptive synthesis, reporting publication characteristics and practices, and 63 in the quantitative synthesis, to evaluate the effect size of intervention features. Results: The search returned publications across characteristics, including countries of origin, feedback topics, target health professionals, and study design types. We also identified an association with effectiveness for all but one of the features examined, with a Cohen's d ranging from above +0.8 (a large positive effect), to -0.67 (a medium negative effect). Socio-technical features related to supportive organisations and the involvement of engaged health professionals were most associated with effective interventions. Conclusion: Key findings have confirmed that a common set of features of e-A&F systems can influence effectiveness. Results provide practitioners with insight into where resources should be focused during the implementation of e-A&F.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 1","pages":"14604582251315414"},"PeriodicalIF":2.3,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HealthCheck: A method for evaluating persuasive mobile health applications. HealthCheck：评估有说服力的移动健康应用的方法。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241290969

Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen

{"title":"HealthCheck: A method for evaluating persuasive mobile health applications.","authors":"Shweta Premanandan, Awais Ahmad, Åsa Cajander, Sami Pohjolainen, Pär Ågerfalk, Mikko Rajanen, Lisette van Gemert-Pijnen","doi":"10.1177/14604582241290969","DOIUrl":"https://doi.org/10.1177/14604582241290969","url":null,"abstract":"Objectives: This paper introduces HealthCheck, a novel evaluation method for persuasive mobile health applications, aiming to fill the critical gap in quick and effective evaluation tools for this domain. Methods: Following Design Science Research, HealthCheck was developed through problem identification, solution design, implementation, evaluation, and iterative refinement. The implementation involved testing with seven experts to assess its applicability and effectiveness. Results: Feedback from the evaluators indicated that while a few heuristics in HealthCheck were considered irrelevant by some, the majority found the heuristics to be both pertinent and beneficial, especially within the caregiving context. This feedback highlights the practical value of HealthCheck and its potential to offer meaningful insights into improving the usability of persuasive eHealth applications. Conclusion: The study shows HealthCheck effectively evaluates persuasive mobile health applications, offering actionable insights to enhance usability. This validates the relevance and robustness of HealthCheck's heuristics, advancing information systems and human-computer interaction research.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241290969"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Perceived benefits and challenges of using an electronic cancer prediction system for safety netting in primary care: An exploratory study of C the signs. 使用电子癌症预测系统为初级保健提供安全网的好处和挑战：对 C the signs 的探索性研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241279742

Sara Spear, Pamela Knight-Davidson

{"title":"Perceived benefits and challenges of using an electronic cancer prediction system for safety netting in primary care: An exploratory study of C the signs.","authors":"Sara Spear, Pamela Knight-Davidson","doi":"10.1177/14604582241279742","DOIUrl":"https://doi.org/10.1177/14604582241279742","url":null,"abstract":"Objectives: This paper reports on an exploratory study into the perceived benefits and challenges of using an electronic cancer prediction system, C the Signs, for safety netting within a Primary Care Network (PCN) in the East of England.Methods: The study involved semi-structured interviews and a qualitative questionnaire with a sample of 15 clinicians and practice administrators within four GP practices in the PCN.Results: Participants generally perceived benefits of C the Signs for managing and monitoring referrals as part of post-consultation safety netting. Clinicians made little use of the decision support function though, as part of safety netting during the consultation, and referrals were still sent by administrators, rather than directly by clinicians through C the Signs.Conclusion: Emphasising the benefits of C the Signs for post-consultation safety netting is most likely to gain buy-in to the system from clinicians, and can also be used by administrators for shared visibility of referrals. More evidence is needed on the value of C the Signs for safety netting during the consultation, through better diagnosis of cancer, before this is seen as a valued benefit by clinicians and provides motivation to use the system.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241279742"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142407223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction. 基于子群学习的可解释建模框架：糖尿病肾病预测研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241291379

Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu

{"title":"Interpretable subgroup learning-based modeling framework: Study of diabetic kidney disease prediction.","authors":"Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W T Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu","doi":"10.1177/14604582241291379","DOIUrl":"https://doi.org/10.1177/14604582241291379","url":null,"abstract":"Objectives: Complex diseases, like diabetic kidney disease (DKD), often exhibit heterogeneity, challenging accurate risk prediction with machine learning. Traditional global models ignore patient differences, and subgroup learning lacks interpretability and predictive efficiency. This study introduces the Interpretable Subgroup Learning-based Modeling (iSLIM) framework to address these issues.Methods: iSLIM integrates expert knowledge with a tree-based recursive partitioning approach to identify DKD subgroups within an EHR dataset of 11,559 patients. It then constructs separate models for each subgroup, enhancing predictive accuracy while preserving interpretability.Results: Five clinically relevant subgroups are identified, achieving an average sensitivity of 0.8074, outperforming a single global model by 0.1104. Post hoc analyses provide pathological and biological evidence supporting subgroup validity and potential DKD risk factors.Conclusion: The iSLIM surpasses traditional global model in predictive performance and subgroup-specific risk factor interpretation, enhancing the understanding of DKD's heterogeneous mechanisms and potentially increasing the adoption of machine learning models in clinical decision-making.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291379"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the determinants of patients' continuance intentions in online health communities from the network effects perspective. 从网络效应的角度探讨患者在在线健康社区中继续就医意向的决定因素。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241300422

Aihui Ye, Runtong Zhang, Hongmei Zhao

{"title":"Exploring the determinants of patients' continuance intentions in online health communities from the network effects perspective.","authors":"Aihui Ye, Runtong Zhang, Hongmei Zhao","doi":"10.1177/14604582241300422","DOIUrl":"https://doi.org/10.1177/14604582241300422","url":null,"abstract":"Objectives: Online health communities (OHCs) facilitate patient-physician interaction and the adoption of online health services. However, few studies explored the impact of network effects on patients' continuance intentions in OHCs. This study aims to explore the determinants affecting OHC patients' continuance intentions based on the network effects theory and expectation confirmation model (ECM). Methods: An integrated research model and relative hypotheses are proposed. A total of 420 valid responses are collected through an online questionnaire survey to test the research framework using structural equation modeling. Results: The results reveal that direct network effect, cross network effect, and indirect network effect all positively affect perceived ease of use, and the latter two also positively affect perceived usefulness that further affect continuance intention. In addition, other results are consistent with the ECM-based hypotheses and the positive impact of perceived e-health literacy on continuance intention is also explained. Conclusion: Patients' continuance intention to use OHCs can be improved by network effects through direct, cross, and indirect formats. ECM-based determinants, including confirmation, perceived usefulness, and satisfaction, provide valuable insights for OHC patients' continuous use. Enhancing e-health literacy helps maintain patients' intention to continue using OHCs.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241300422"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unveiling barriers to EHR implementation for effective decision support in tanzanian primary healthcare: Insights from practitioners. 揭示坦桑尼亚初级医疗保健实施电子病历以提供有效决策支持的障碍：从业人员的见解。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241304698

Augustino Mwogosi, Stephen Kibusi

{"title":"Unveiling barriers to EHR implementation for effective decision support in tanzanian primary healthcare: Insights from practitioners.","authors":"Augustino Mwogosi, Stephen Kibusi","doi":"10.1177/14604582241304698","DOIUrl":"https://doi.org/10.1177/14604582241304698","url":null,"abstract":"This study investigates the barriers to implementing electronic health records (EHR) systems for decision support in Tanzanian primary healthcare (PHC) facilities and proposes strategies to address these challenges. A qualitative, inductive approach was used, guided by the Diffusion of Innovations (DOI) theory, the Technology Acceptance Model (TAM), and the Sociotechnical Systems theory. Using snowball sampling, data were collected from 14 participants through semi-structured interviews in Dodoma, Tanzania. Thematic analysis identified key barriers. Critical barriers to EHR implementation include lack of leadership support, poor network infrastructure, increased workload, and resistance to technology due to concerns over professional autonomy. Technical challenges, such as system downtime and lack of skilled personnel, hinder EHR use, resulting in inefficiencies and incomplete system adoption, negatively affecting patient outcomes. This study offers unique insights into barriers to EHR adoption in Tanzanian PHC facilities. Grounded in multiple theoretical frameworks, the findings contribute to health informatics discourse in low-resource settings and provide practical recommendations for improving EHR implementation. The study's implications are relevant for policymakers, healthcare leaders, and IT developers in similar contexts.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241304698"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142696091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emergency department nurses' learning and evolving perspectives in interacting with patients who self-harm. An explorative interview study of the use of a mobile application. 急诊科护士在与自残病人互动中的学习与演化观点。一项关于使用移动应用程序的探索性访谈研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241301363

Lene Lauge Berring, Ingrid C Andersen, Lise Bachmann Østergaard, Cecilie Borges Bygum, Line Marie Christensen, Ditte Høgsgaard, Anja Rebien Johannesen, Charlotte Simonÿ

{"title":"Emergency department nurses' learning and evolving perspectives in interacting with patients who self-harm. An explorative interview study of the use of a mobile application.","authors":"Lene Lauge Berring, Ingrid C Andersen, Lise Bachmann Østergaard, Cecilie Borges Bygum, Line Marie Christensen, Ditte Høgsgaard, Anja Rebien Johannesen, Charlotte Simonÿ","doi":"10.1177/14604582241301363","DOIUrl":"https://doi.org/10.1177/14604582241301363","url":null,"abstract":"SAFE is a mobile application co-created for and by people who have experienced self-harm, either themselves or as next of kin. This study intended to integrate SAFE into an Emergency Department (ED) to help patients share experiences of self-harm and to support professionals in conducting treatment as usual (TAU). Objective: This study was a part of a Co-operative Inquiry in which a learning intervention was implemented, followed by an interview study exploring ED nurses' reflections and learnings while integrating SAFE into their practice. Methods: Thirteen semi-structured interviews were analysed using reflexive thematic analysis. Results: The nurses imagined that SAFE could be a positive game changer. However, they were hesitant due to uncertainty about the ED context, the value of the app and their skills. Conclusions: Supplying TAU with technology is challenging and future digital solutions must be created in partnership to ensure the solutions are customised to the target group.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241301363"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0