Health Informatics Journal最新文献

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Next-generation security for big data analytics in healthcare IoT using hybrid cryptographic techniques. 使用混合加密技术的医疗保健物联网大数据分析的下一代安全性。
IF 2.2 3区 医学
Health Informatics Journal Pub Date : 2026-01-01 Epub Date: 2026-01-19 DOI: 10.1177/14604582261417493
Abdullah Alharbi, Wael Alosaimi, Masood Ahmad, Mohd Nadeem
{"title":"Next-generation security for big data analytics in healthcare IoT using hybrid cryptographic techniques.","authors":"Abdullah Alharbi, Wael Alosaimi, Masood Ahmad, Mohd Nadeem","doi":"10.1177/14604582261417493","DOIUrl":"10.1177/14604582261417493","url":null,"abstract":"<p><p>Big Data in Internet of Healthcare Things (IoHT) environments includes large volumes of structured and unstructured clinical information. The Hadoop Distributed File System (HDFS) is widely used for its scalability and ability to run on commodity hardware. However, it offers limited native encryption, leaving data vulnerable to security risks. Although several encryption techniques exist, traditional algorithms still face performance and security limitations with large-scale medical datasets. Therefore, this study introduces a hybrid encryption framework designed to enhance security in IoHT environments that process large-scale medical Big Data. The framework combines Attribute-Based Encryption (ABE) with the Blowfish cipher to secure data generated by heterogeneous medical devices across the IoHT infrastructure. The proposed approach is benchmarked against established hybrid schemes-CP-ABE + HE, HE + BF, and CP-ABE + AES-to provide a comparative assessment of its security strength and computational performance. The performance assessment employed key computational metrics, including system efficiency, encryption latency, and decryption latency. Experimental results demonstrate that the proposed hybrid scheme delivers superior performance compared to existing approaches, attaining a peak efficiency of 98.5%. The method further achieved encryption and decryption times of 6.8 min and 5.7 min, respectively, indicating improved computational handling of large-scale IoHT data.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"32 1","pages":"14604582261417493"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145999952","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
inFLUence: Development of a self-administered risk stratification tool for patients with influenza-like illness using a user-centered approach. 影响:采用以用户为中心的方法,为流感样疾病患者开发自我管理的风险分层工具。
IF 2.2 3区 医学
Health Informatics Journal Pub Date : 2026-01-01 Epub Date: 2026-03-01 DOI: 10.1177/14604582261427240
Judicael Adadja, Myriam Mallet, Sean Johnston, Maude Ballou, Éric Kavanagh, Maurice Boissinot, Simon Berthelot
{"title":"inFLUence: Development of a self-administered risk stratification tool for patients with influenza-like illness using a user-centered approach.","authors":"Judicael Adadja, Myriam Mallet, Sean Johnston, Maude Ballou, Éric Kavanagh, Maurice Boissinot, Simon Berthelot","doi":"10.1177/14604582261427240","DOIUrl":"10.1177/14604582261427240","url":null,"abstract":"<p><p>BackgroundInfluenza is often self-limiting but leads to avoidable emergency department visits. This study describes the development of inFLUence, an online self-administered tool for stratifying influenza-like illness risk.MethodsThe tool was developed using a user-centered design approach, informed by a systematic review of existing risk stratification tools. A prototype was iteratively refined across three rapid prototyping cycles with 18 participants and evaluated by seven clinical experts through an online survey.ResultsAcross three testing cycles, nearly all participants (5-6 out of 6 per round) found the tool easy to use, understandable, useful, and effective. Feedback informed consensus-based adjustments at each iteration. Clinical experts rated the relevance of the proposed questions on a 9-point scale, with median scores ranging from 5 to 9, where 9 indicated extreme relevance. The final product is a bilingual, self-administered web application for individuals aged ≥5 months, providing personalized recommendations for users presenting with influenza-like illness, regardless of the underlying viral pathogen.ConclusioninFLUence is a promising digital tool that could enhance patient autonomy and support more efficient use of healthcare services.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"32 1","pages":"14604582261427240"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147328167","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
Determining suicide risk in an adolescent population: Questionnaire-based approaches. 确定青少年人群的自杀风险:基于问卷的方法。
IF 2.2 3区 医学
Health Informatics Journal Pub Date : 2026-01-01 Epub Date: 2026-03-21 DOI: 10.1177/14604582251383777
Ane Varela, Maite Oronoz, Arantza Casillas, Alexander Muela, Jon García-Ormaza, Alicia Pérez
{"title":"Determining suicide risk in an adolescent population: Questionnaire-based approaches.","authors":"Ane Varela, Maite Oronoz, Arantza Casillas, Alexander Muela, Jon García-Ormaza, Alicia Pérez","doi":"10.1177/14604582251383777","DOIUrl":"10.1177/14604582251383777","url":null,"abstract":"<p><p><b>Objective:</b> In the context of assessing suicide risk using questionnaires as measurement instruments, the main goals are: (i) to compare the performance of the classification task with knowledge-based algorithms and inferred approaches, and (ii) to reduce the set of questionnaires. <b>Methods:</b> A classification task is performed on the set of questionnaires considering two methods: expert knowledge translated to algorithms and represented as diagrams, and data-inferred machine learning models. Feature ablation is performed to reduce the questionnaire items. <b>Results:</b> Machine learning models are able to detect risk with an F1 macro average score of up to 85%, significantly better than knowledge-based models. The number of questionnaire items can be reduced with no significant impact. <b>Conclusions:</b> Inferred models can be used to predict the level of suicide risk with a reduced set of questionnaires. Moreover, the Suicide Cognitions Scale-Revised questionnaire is seen to be the most impactful in the prediction.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"32 1","pages":"14604582251383777"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147494330","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
Performance and security analysis of fully homomorphic encryption in cloud-based healthcare blockchain. 基于云的医疗保健区块链中全同态加密的性能和安全性分析。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-11-10 DOI: 10.1177/14604582251394616
Salah ElDin Zaher Olaymi
{"title":"Performance and security analysis of fully homomorphic encryption in cloud-based healthcare blockchain.","authors":"Salah ElDin Zaher Olaymi","doi":"10.1177/14604582251394616","DOIUrl":"10.1177/14604582251394616","url":null,"abstract":"<p><p><b>Objective:</b> This study evaluates the feasibility and performance of a cloud-based healthcare blockchain framework that integrates Fully Homomorphic Encryption (FHE), Extended Secure Searchable Encryption (ESSE), and Attribute-Based Signature (ABS) for managing encrypted Personal Health Records (PHRs). <b>Methods:</b> A synthetic dataset of 1,000 anonymized health records, modeled after the publicly available Cell-Phone Brain Tumour dataset (Kaggle), was generated in MATLAB. The dataset emulated attributes typically collected by IoT-enabled or mobile health devices (e.g., usage duration, radiation exposure), although no physical IoT integration was implemented. The cryptographic modules-FHE, ESSE, and ABS-were implemented and simulated in a MATLAB-based cloud environment. System evaluation focused on encryption latency, query throughput, access control accuracy, and overall operational efficiency. <b>Results:</b> The FHE module achieved an average encryption time of 2.5 s and a computation time of 4.8 s per 1 KB record. ESSE sustained 20 encrypted queries per second with an 85% success rate. ABS enforced decentralized access with 97% accuracy and a false positive rate of 0.002%. When integrated, the system reached 94% operational efficiency across simulated healthcare workloads. <b>Conclusion:</b> The proposed FHE-ESSE-ABS framework advances existing healthcare blockchain solutions by enabling encrypted computation, privacy-preserving search, and fine-grained access control. These findings confirm its feasibility for secure cloud-based healthcare data management and establish a foundation for future real-world deployment in health informatics.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251394616"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145490888","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
An assessment of patient readiness to engage in digital patient reported outcomes in an Australian inflammatory bowel disease cohort. 在澳大利亚炎症性肠病队列中评估患者参与数字患者报告结果的准备情况。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-10-31 DOI: 10.1177/14604582251383804
Tsz Hong Yiu, Sarah Rouse, Caitlin Hausler, Kerrie Curin, Nicola McGuinn, Joanna Petrunic, Amalie Søgaard Nielsen, Bodil Rasmussen, Christopher F D Li Wai Suen, Elizabeth Chow
{"title":"An assessment of patient readiness to engage in digital patient reported outcomes in an Australian inflammatory bowel disease cohort.","authors":"Tsz Hong Yiu, Sarah Rouse, Caitlin Hausler, Kerrie Curin, Nicola McGuinn, Joanna Petrunic, Amalie Søgaard Nielsen, Bodil Rasmussen, Christopher F D Li Wai Suen, Elizabeth Chow","doi":"10.1177/14604582251383804","DOIUrl":"10.1177/14604582251383804","url":null,"abstract":"<p><p><b>Objectives:</b> Digital patient-reported outcome (PRO) tools, though beneficial for managing inflammatory bowel disease (IBD), remain underutilized in Australia. This study aimed to investigate a group of Australian patients' readiness to engage with digital PRO tools and identify potential barriers to their implementation. <b>Methods:</b> We assessed 58 patients from a tertiary IBD clinic in Melbourne, Australia, using the Readiness and Enablement Index for Health Technology (ReadHy) tool, and compared the results to those from a Danish study. <b>Results:</b> Compared to the Danish cohort, our patients were younger with more frequent users of electronic devices, showed higher readiness across most ReadHy dimensions, except in the \"heiQ8 Emotional Distress\" dimension. <b>Conclusion:</b> These findings suggest a generally favourable environment for implementing digital PRO tools at an Australian tertiary IBD clinic, though attention should be paid to emotional well-being to improve adoption. This study also provides a framework for other centres to evaluate their patients' readiness for digital PRO engagement.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251383804"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423277","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 scoping review of electronic health records interoperability levels, expectations, approaches, and problems. 对电子健康记录互操作性级别、期望、方法和问题的范围审查。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-10-24 DOI: 10.1177/14604582251385986
Raghid El-Yafouri, Leslie Klieb
{"title":"A scoping review of electronic health records interoperability levels, expectations, approaches, and problems.","authors":"Raghid El-Yafouri, Leslie Klieb","doi":"10.1177/14604582251385986","DOIUrl":"10.1177/14604582251385986","url":null,"abstract":"<p><p>To achieve useful interoperability between electronic health record (EHR) systems, many approaches have been proposed. To date, none has prevailed as a clear solution. This scoping review studies 24 publications from 2014 to 2023. The aim is to streamline the understanding of current EHR interoperability expectations, practices, and problems, highlight learnings from the Levels of Conceptual Interoperability Model (LCIM), and suggest means for expediting EHR interoperability. Four interoperability levels are visible in EHR compared to seven in the LCIM: technical/foundational, syntactic/structural, semantic, and process/organization. Semantic interoperability-preserving meaning of exchanged data-is the main focus and the problem to solve. Its many expectations cause implementation difficulty. Standardization of data structures, transfer protocols, terminologies, vocabularies, and ontologies are the most common approach, but there is a lack of consensus on standards. Emerging approaches include fuzzy ontologies, natural language processing, and bidirectional transformation. Standardized data structure is not a prerequisite to useful EHR interoperability. Focusing on the state of health records rather than full system integration can expedite interoperability. Different use cases can benefit from various approaches. Artificial intelligence shows promise for handling semi-structured or unstructured data. Stronger regulations may be necessary to guide ongoing integrations.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251385986"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145369246","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
Quality and readability of chatbot responses to patient questions: A systematic cross-sectional meta-synthesis. 聊天机器人回答病人问题的质量和可读性:一个系统的横断面综合。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-10-17 DOI: 10.1177/14604582251388879
Peter Whittaker, Mengyan Sun
{"title":"Quality and readability of chatbot responses to patient questions: A systematic cross-sectional meta-synthesis.","authors":"Peter Whittaker, Mengyan Sun","doi":"10.1177/14604582251388879","DOIUrl":"10.1177/14604582251388879","url":null,"abstract":"<p><p><b>Introduction:</b> Patients increasingly use chatbots to obtain medical information, a trend that has provoked both optimism and pessimism. Numerous studies have evaluated the quality and readability of these outputs. This study synthesizes these findings through a cross-sectional meta-synthesis. <b>Methods:</b> We identified studies that evaluated responses using the DISCERN instrument, designed to assess the quality of written material. Additionally, we only included studies that also evaluated readability. We recorded the chatbot used, DISCERN scores, the number of words in each question, the number of questions asked, the number of DISCERN evaluators, the readability of responses, and the year the study was conducted. We also assessed the influence of each publication's journal ranking using the Journal Citation Indicator. <b>Results:</b> We identified 42 studies that conducted 86 tests. Chatbot response readability decreased as response quality increased. Forty-nine tests produced responses ranked \"good\" or better, and only 10 scored below college-level readability. We significantly increased readability by adding the phrase \"write responses at sixth-grade reading level\" to prompts that previously produced post-graduate reading level responses in published studies. <b>Discussion:</b> Variable quality and poor readability of chatbot responses reinforce pessimism about their utility. Nevertheless, appropriate \"prompt engineering\" provides scope to enhance response quality and readability.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251388879"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314261","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
Healthcare professionals' perspectives on technology in transitional care: A multisite qualitative study on current practices, challenges, and future directions. 医疗保健专业人员对过渡护理技术的看法:一项关于当前实践、挑战和未来方向的多地点定性研究。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-12-13 DOI: 10.1177/14604582251404770
Despoina Petsani, Teemu Santonen, Beatriz Merino Barbancho, Eva Kehayia, Mika Alastalo, Dorra Rakia Allegue, Vasileia Petronikolou, Sofia Segkouli, Rosa Almeida, Gloria Cea Sanchez, Sofía Ballesteros, Sara Ahmed, Enikő Nagy, Leen Broeckx, Michael Doumas, Panagiotis Bamidis, Evdokimos Konstantinidis
{"title":"Healthcare professionals' perspectives on technology in transitional care: A multisite qualitative study on current practices, challenges, and future directions.","authors":"Despoina Petsani, Teemu Santonen, Beatriz Merino Barbancho, Eva Kehayia, Mika Alastalo, Dorra Rakia Allegue, Vasileia Petronikolou, Sofia Segkouli, Rosa Almeida, Gloria Cea Sanchez, Sofía Ballesteros, Sara Ahmed, Enikő Nagy, Leen Broeckx, Michael Doumas, Panagiotis Bamidis, Evdokimos Konstantinidis","doi":"10.1177/14604582251404770","DOIUrl":"10.1177/14604582251404770","url":null,"abstract":"<p><p><b>Objectives:</b> This study aimed to explore healthcare professionals' views on the use of technology in adult transitional care, identifying challenges, critical procedures, and enabling factors for adoption. <b>Methods:</b> This was a prospective, multisite qualitative study. Data were collected through semi-structured co-creation sessions that explored two main themes, clinical decision-making and technology use in transitional care, through the lenses of current practices, challenges, and future directions. Data were analysed using constant comparison analysis by three independent researchers through iterative open, axial, and selective coding, followed by an impact relationship analysis to explore interconnections between themes. <b>Results:</b> Eleven co-creation sessions were held involving 115 participants. Findings highlight five key transitional care processes, beginning with patient assessment and evaluation, continuing through discharge planning and adherence to protocols, and extending to post-discharge support and follow-up care. The results show how technology can enhance each of these steps by improving digital literacy, user-friendliness, interoperability, and the flow of information. Cross-cutting barriers such as limited resources, privacy concerns, and lack of trust in technology were also identified. <b>Conclusions:</b> Technological tools can support various aspects and processes of transitional care, but their effective adoption requires a distinct set of strategies to address the multiple and complex factors involved.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251404770"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145752440","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
Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial. 使用基于认知行为疗法的聊天机器人来缓解失眠、抑郁和焦虑的症状:一项随机对照试验。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-11-26 DOI: 10.1177/14604582251396428
Yi-Hang Chiu, Yen-Fen Lee, Huang-Li Lin, Li-Chen Cheng
{"title":"Using cognitive behavioral therapy-based chatbots to alleviate symptoms of insomnia, depression, and anxiety: A randomized controlled trial.","authors":"Yi-Hang Chiu, Yen-Fen Lee, Huang-Li Lin, Li-Chen Cheng","doi":"10.1177/14604582251396428","DOIUrl":"10.1177/14604582251396428","url":null,"abstract":"<p><p><b>Background:</b> Insomnia is common among psychiatric outpatients in Taiwan and often coexists with anxiety and depression. Early insomnia changes may predict long-term depression. Although CBT-I is effective, face-to-face therapy requires many resources. This study evaluated the effectiveness of a chatbot to enhance access to sleep training. <b>Methods:</b> This study recruited 80 patients from a psychosomatic outpatient clinic in Taiwan and randomly assigned them 1:1 to the intervention or control group. Due to withdrawals or incomplete assessments, 35 in the intervention group and 31 in the control group completed all procedures. The intervention group used a CBT-I chatbot for 4 weeks, while the control group received basic sleep education via a website. Sleep quality and mental health were assessed using the PSQI, BSRS-5, PHQ-9, BDI, and BAI. <b>Results:</b> The intervention group showed significant PSQI improvement (t (34) = 3.80, <i>p</i> < .001) and reduced BSRS-5, PHQ-9, BDI, and BAI scores (<i>p</i> < .05). The control group showed no significant changes. <b>Conclusions:</b> A CBT-I chatbot significantly enhances sleep and mental health, offering accessible, effective support with broad clinical potential.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251396428"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145642914","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
Human Digital Twins for pervasive healthcare: A scoping review. 普及医疗保健的人类数字孪生:范围审查。
IF 2.3 3区 医学
Health Informatics Journal Pub Date : 2025-10-01 Epub Date: 2025-10-30 DOI: 10.1177/14604582251392455
Joonyoung Park, Eunji Park, Duri Lee, Soowon Kang, Takyeon Lee, Hwajung Hong, Sung-Ju Lee, Heepyung Kim, Yu Rang Park, Uichin Lee
{"title":"Human Digital Twins for pervasive healthcare: A scoping review.","authors":"Joonyoung Park, Eunji Park, Duri Lee, Soowon Kang, Takyeon Lee, Hwajung Hong, Sung-Ju Lee, Heepyung Kim, Yu Rang Park, Uichin Lee","doi":"10.1177/14604582251392455","DOIUrl":"10.1177/14604582251392455","url":null,"abstract":"<p><p><b>Background:</b> Human Digital Twins (HDTs) have recently emerged, especially in the context of healthcare. With the growing emphasis on preventive healthcare beyond diagnosis, pervasive sensing has become essential which enables continuous monitoring through real-world data captured from wearables and/or mobile devices. <b>Objective:</b> This scoping review investigates how pervasive sensing technologies have been utilized in the implementation of HDTs for healthcare, with a focus on understanding the twinning methods, identifying their advantages and limitations, and uncovering key challenges encountered in real-world applications. <b>Methods:</b> We proposed an analytical framework to examine how pervasive sensing technologies are utilized in the implementation of HDTs for personal health management. Using this framework, we conducted a comprehensive literature search across PubMed, Scopus, IEEE Xplore, Web of Science, and Google Scholar. <b>Results:</b> A total of 39 eligible papers were reviewed. We present an analysis of these studies and provide a discussion on the potential and limitations of HDTs in the context of pervasive healthcare. <b>Conclusions:</b> The key takeaway is that the integration of HDTs and pervasive sensing provides a foundation for realizing pervasive healthcare by enabling not one-time digital replication, but continuous and comprehensive monitoring of individuals, including their surrounding environments and behavioral changes.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 4","pages":"14604582251392455"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145410889","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
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