Health Informatics Journal最新文献

Enhancing maternal nutrition: The development of Doojan, a gamified mHealth app for pregnant women. 改善产妇营养：Doojan的开发，这是一款针对孕妇的游戏化移动健康应用程序。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-07-10 DOI: 10.1177/14604582251335182

Lida Moghaddam-Banaem, Rezvan Rahimi, Sabereh Ahmadi, Somayeh Hossainpour

{"title":"Enhancing maternal nutrition: The development of Doojan, a gamified mHealth app for pregnant women.","authors":"Lida Moghaddam-Banaem, Rezvan Rahimi, Sabereh Ahmadi, Somayeh Hossainpour","doi":"10.1177/14604582251335182","DOIUrl":"https://doi.org/10.1177/14604582251335182","url":null,"abstract":"Background: The widespread availability of smartphones has created new opportunities for engaging pregnant women and enhancing their self-management abilities to promote maternal and fetal health through mobile interventions. This study focuses on the design and development of a gamification-based mobile health (mHealth) application aimed at providing nutritional support to pregnant women.Methods: An iterative, user-centered design approach and Agile development method were employed to create the application. The developmental stages included identifying the application's features, the design and development process, and evaluation. End users assessed usability using the System Usability Scale (SUS), while experts evaluated quality using the Mobile Application Rating Scale (MARS).Results: Feedback from experts and end users categorized the application's functionalities into general, specific, and gamification-related functions. Pregnant women rated the application's usability as acceptable (68.25 ± 10.86), and experts rated its quality as acceptable (mean 3.89 out of 5, SD 0.25).Conclusions: The positive evaluation results support the use of this application as a tool for managing gestational nutrition and enhancing self-awareness. Future research should investigate its impact on the nutritional status of pregnant women and their infants.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251335182"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602297","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 potential for introducing crowdsourced e-health services. 探索引入众包电子保健服务的潜力。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-07-04 DOI: 10.1177/14604582251356208

Miroslav Kendrišić, Branka Rodić, Aleksandra Labus, Milica Simić, Vukašin Despotović

{"title":"Exploring the potential for introducing crowdsourced e-health services.","authors":"Miroslav Kendrišić, Branka Rodić, Aleksandra Labus, Milica Simić, Vukašin Despotović","doi":"10.1177/14604582251356208","DOIUrl":"https://doi.org/10.1177/14604582251356208","url":null,"abstract":"The study had two primary goals: (1) to propose a methodological approach for introducing crowdsourced e-health services within healthcare institutions, and (2) to evaluate the readiness of citizens to adopt the proposed services. The proposed methodological approach addresses the essential infrastructural elements required for introducing crowdsourced e-health services, including their integration into institutional web portals and alignment with broader national digital health systems. By enabling structured citizen participation and facilitating dynamic data exchange among key stakeholders, the approach supports the modernization of healthcare service delivery. This research examined young citizens' readiness to use crowdsourced e-health services to assess the potential for adopting the proposed method. The findings indicate that perceived value is positively influenced by trust, while both perceived value and perceived behavioral control have a significant impact on the intention to contribute. This research introduces an original methodological approach tailored to support the implementation of crowdsourced e-health services within healthcare institutions. The proposed model stands out for its adaptability, as it combines communication, collaboration, crowdsourcing, and payment services within a unified structure. Its flexibility allows integration across different institutional levels, promoting citizen participation and enabling more transparent, efficient, and needs-driven healthcare delivery.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251356208"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562007","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

Systematic review of machine learning applications in the early prediction and management of chronic lymphocytic leukaemia. 机器学习在慢性淋巴细胞白血病早期预测和治疗中的应用的系统综述。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-07-09 DOI: 10.1177/14604582251342178

Mohammad Al-Agil, Piers Em Patten, Anwar Alhaq

{"title":"Systematic review of machine learning applications in the early prediction and management of chronic lymphocytic leukaemia.","authors":"Mohammad Al-Agil, Piers Em Patten, Anwar Alhaq","doi":"10.1177/14604582251342178","DOIUrl":"10.1177/14604582251342178","url":null,"abstract":"Objective: This review assesses the efficacy of machine learning (ML) models for classification and management of Chronic Lymphocytic Leukaemia (CLL).Methods: Twenty studies published between 2014 and 2023 were reviewed, focusing on supervised ML models to predict patient outcomes or guide treatment decisions. Studies were identified through PubMed, Google Scholar, and IEEExplore, with the final search in March 2023. Inclusion criteria consisted of studies focused on ML applications in CLL. Exclusion criteria included studies lacking sufficient methodology or focused solely on experimental settings without clinical validation. Most studies used small, single-centre datasets, potentially contributing to overfitting and limited applicability to real-world settings.Results: Despite dataset limitations, all reviewed studies reported positive outcomes, with some demonstrating improvements in clinical workflows. Our findings advocate developing ML models using larger, multimodal, and multi-institutional datasets. Improved model interpretability and NLP implementation to harness unstructured clinical data were identified as key areas for advancement. Additionally, innovations like cross-site federated learning and automated redaction could help address data integration and privacy challenges.Conclusion: This review underscores the transformative potential of ML in CLL management. However, addressing limitations, including diverse datasets and enhanced model interpretability, is crucial for fully leveraging ML capabilities in haemato-oncology.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251342178"},"PeriodicalIF":2.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602298","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

Bright visions, shady days: Exploring hospital staff expectations and early experiences with a new EHR system in Norway. 光明的前景，阴暗的日子：探索医院工作人员的期望和早期经验与新的电子病历系统在挪威。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-20 DOI: 10.1177/14604582251344839

Line Melby, Kirsti Sarheim Anthun, Pieter J Toussaint

{"title":"Bright visions, shady days: Exploring hospital staff expectations and early experiences with a new EHR system in Norway.","authors":"Line Melby, Kirsti Sarheim Anthun, Pieter J Toussaint","doi":"10.1177/14604582251344839","DOIUrl":"10.1177/14604582251344839","url":null,"abstract":"Background: The preparation phase of an IT implementation may have consequences for the outcomes. To increase the chance of a successful implementation, many organisations invest in preparing the organisation through organisational readiness projects and similar activities. Objective: To determine how hospital staff in Central Norway were prepared for a new electronic health record (EHR) system and how expectations were met during the go-live and early use phase. Methods: Semi-structured interviews with the implementation team and staff members of a University hospital. Results: Preparations were carefully planned, but the staff considered them insufficient. The staff were positive towards the aim of the new EHR but found the training and practical preparations inadequate, resulting in unmet expectations and frustrations. Conclusion: Readiness activities in socio-technical implementations should emphasise to users that the information system presents opportunities, not necessarily fixed-use recipes, and is continuously evolving. Contextual information can help users align their expectations with the possibilities.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251344839"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144113083","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

Assessment of non-small cell lung cancer online videos in China: A cross-sectional study on quality, content, understandability, actionability, and reliability. 中国非小细胞肺癌在线视频的评估：质量、内容、可理解性、可操作性和可靠性的横断面研究

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-04-03 DOI: 10.1177/14604582251328930

Xiaoqing Feng, Yuhui Xu, Yi Yang, Yifan Zheng, Jia Li

{"title":"Assessment of non-small cell lung cancer online videos in China: A cross-sectional study on quality, content, understandability, actionability, and reliability.","authors":"Xiaoqing Feng, Yuhui Xu, Yi Yang, Yifan Zheng, Jia Li","doi":"10.1177/14604582251328930","DOIUrl":"10.1177/14604582251328930","url":null,"abstract":"Objective: This study aims to conduct a multidimensional evaluation of non-small cell lung cancer (NSCLC)-related videos on social media platforms in China (TikTok, Bilibili, and Red).Methods: Validated tools were used to evaluate video quality (DISCERN instrument), reliability (Journal of the American Medical Association [JAMA] benchmarks), understandability, and actionability (Patient Education Materials Assessment Tool [PEMAT]).Results: This study included 96 videos, primarily created by medical professionals (n = 63). The median DISCERN score was 30.0 (IQR 28.5-34.4), indicating poor quality overall. Compared to videos rated as \"good\", the \"poor\" videos had significantly shorter durations (P = 0.040). The overall median understandability and actionability scores were 81.8% (IQR 75.0-90.9%) and 0% (IQR 0.0-66.7%), respectively, indicating good understandability but extremely poor actionability. Only one met all four JAMA benchmarks. TikTok videos with the shortest durations garnered the highest numbers of \"likes\", \"comments\", and \"bookmarks\", while Bilibili videos exhibited a relatively high overall quality.Conclusions: To guide the public in making informed medical decisions, Chinese NSCLC videos need improvement in various aspects.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251328930"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781925","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

Workshop on evaluating medical apps using the mobile app Rubric for learning. 使用移动应用程序Rubric进行学习评估医疗应用程序的研讨会。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-04-29 DOI: 10.1177/14604582251338663

Raniah N Aldekhyyel, Jwaher A Almulhem

{"title":"Workshop on evaluating medical apps using the mobile app Rubric for learning.","authors":"Raniah N Aldekhyyel, Jwaher A Almulhem","doi":"10.1177/14604582251338663","DOIUrl":"https://doi.org/10.1177/14604582251338663","url":null,"abstract":"Objective: With rising digital tool use and lack of standard evaluation criteria in medical education, students should learn to assess the quality of medical apps. We designed a workshop to equip medical students with app evaluation skills. This study describes the workshop and experiences of students and faculty with the Mobile App Rubric for Learning (MARuL) instrument. Methods: The study used qualitative design and consecutive sampling, including all third-year medical students enrolled in a medical informatics course. Faculty facilitators introduced students to the MARuL instrument and trained them on its use. Students, grouped based on their familiarity with medical apps, conducted evaluations, and feedback was collected through an online form. The data were analyzed using thematic content analysis. Faculty also reflected on the workshop's implementation and the effectiveness of the instrument. Results: A total of 275 students participated, identifying challenges such as the instrument's length, complex terminology, scoring difficulties, limited answer options, and the lack of open-ended questions. Faculty reported difficulties in explaining the MARuL and conducting the workshop effectively. Conclusion:The findings suggest the importance of integrating standard medical apps evaluation tools into the medical curriculum. These tools should be time-efficient, easy to understand, and simple to interpret for their utilization in an educational setting.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251338663"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058256","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

The design process and development of MySleepSolutions - A sleep module for a lifestyle self-management app for low back pain. MySleepSolutions的设计过程和开发-这是一款针对腰痛的生活方式自我管理应用程序的睡眠模块。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-17 DOI: 10.1177/14604582251340548

Kate Roberts, Paula Beckenkamp, Josielli Comachio, Carlos Mesa Castrillon, Anelise Moreti Cabral Silveira, Emma Ho, Julian Comis, Christian Jensen, Chris Gordon, Paulo Ferreira

{"title":"The design process and development of MySleepSolutions - A sleep module for a lifestyle self-management app for low back pain.","authors":"Kate Roberts, Paula Beckenkamp, Josielli Comachio, Carlos Mesa Castrillon, Anelise Moreti Cabral Silveira, Emma Ho, Julian Comis, Christian Jensen, Chris Gordon, Paulo Ferreira","doi":"10.1177/14604582251340548","DOIUrl":"https://doi.org/10.1177/14604582251340548","url":null,"abstract":"Background: Mobile health applications for the management of chronic conditions may be an effective method of supporting self-management. Objective: This report aims to describe the design process of a novel mHealth sleep retraining program for people with low back pain (LBP). Methods: This report includes a detailed description of the design and implementation process which utilized a four-stage framework: (i) concept development, (ii) therapeutic/design approaches, and app features/functionality), (iii) implementation metrics, and (iv) clinical outcomes in end-users. Results: The content of MySleepSolutions which is user-centered, personalized and evidence-based, is grounded in Cognitive Behavior Therapy for Insomnia (CBT-I) techniques and follows best practice guidelines. Conclusions: This detailed description of the design and development of MySleepSolutions ensures the program is comprehensive and has a sound theoretical basis while providing transparency and supporting future research into the development of mHealth retraining programs for sleep disturbance associated with LBP.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251340548"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144087074","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 data quality assurance process to improve the precision of analysis of routinely collected administrative data for the NHS (National Health Service) UK. 数据质量保证程序，以提高对英国国民保健服务（NHS）例行收集的行政数据的分析精度。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-21 DOI: 10.1177/14604582251334338

Robert M Cook, Alisen Dube, Md Asaduzzaman, Tim Beales, Ross Pearce, Luke Blackwell, Claire Whitehouse, Joshua Miller, Malcolm Gough, Mark Radford, Alison Leary, Sarahjane Jones

{"title":"A data quality assurance process to improve the precision of analysis of routinely collected administrative data for the NHS (National Health Service) UK.","authors":"Robert M Cook, Alisen Dube, Md Asaduzzaman, Tim Beales, Ross Pearce, Luke Blackwell, Claire Whitehouse, Joshua Miller, Malcolm Gough, Mark Radford, Alison Leary, Sarahjane Jones","doi":"10.1177/14604582251334338","DOIUrl":"https://doi.org/10.1177/14604582251334338","url":null,"abstract":"Objective: This paper demonstrates a data quality assurance (DQA) process as a means to identify and handle flaws in data, and hence improve the accuracy of an investigation into the prevalence of harmful versus non-harmful/near-miss incident reports in a single NHS acute provider.Methods: The three-step DQA process consists of an initial univariate data quality analysis, followed by a bivariate missingness analysis, and concluding with the design of appropriate multiple imputation techniques. With data quality established, the acuity and incident data were aggregated and aligned to the Ward-Month level for the period August 2015 to December 2020 inclusive. The final analysis was performed using binary regression, pooling results via Reuben's Rule.Results: The application of our three-step quality assurance process was able to detect and correct for common data quality issues. The resulting analysis identified a Ward dependency for the effect of Covid-19 lockdown measures on incident reporting culture which would have been missed without the applied imputation strategy.Conclusions: Our approach outlines a replicable methodology for understanding and fixing data quality issues in operational data. As daily operational decisions are being guided by data, it is important to leverage appropriate imputation techniques and ensure an optimal decision is reached.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251334338"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144121424","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

Natural language processing to describe primary care requests for eConsult specialty care: A simple and practical application. 自然语言处理，以描述初级保健请求咨询专科护理：一个简单而实际的应用。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-24 DOI: 10.1177/14604582251345319

Stephanie Grim, Anne Fuhlbrigge, John F Thomas, Rodger Kessler

{"title":"Natural language processing to describe primary care requests for eConsult specialty care: A simple and practical application.","authors":"Stephanie Grim, Anne Fuhlbrigge, John F Thomas, Rodger Kessler","doi":"10.1177/14604582251345319","DOIUrl":"https://doi.org/10.1177/14604582251345319","url":null,"abstract":"Objective: Free text fields embedded within electronic consultation (eConsult) orders serve as rich sources of descriptive information regarding common uses of this novel telehealth technology. Simple text mining and language processing may efficiently extract key insights that help inform providers and administrators. Methods: Text data from eConsult orders placed within a single academic medical center were extracted from the electronic health record and examined. N-gram frequencies were used to describe the content of eConsult clinical questions and care recommendations. Results: 18,609 eConsults were ordered, with volumes ranging from 12 to 3839 orders across 28 subspecialties. Median character length for the clinical question was 189 and 1393 for specialist response text. Frequency count for top bigram varied greatly by specialty, with a high of 190 (\"thyroid nodule\") in Endocrinology and a low of 6 (\"shoulder pain\") in Orthopedics for clinical questions, and a high of 3139 (\"ref range\") in Endocrinology and a low of 6 (\"surgical oncology\") in Medical Oncology for specialist response. Discussion: Descriptive word sequences from NLP may provide limited insight into common use cases for eConsult across many subspecialties, though pre-processing was required to generate meaningful results.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 2","pages":"14604582251345319"},"PeriodicalIF":2.2,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136528","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

Developing comprehensive hypertension ontology: Addressing data integration gaps to improve healthcare results. 发展全面的高血压本体：解决数据集成差距以改善医疗保健结果。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2025-04-01 Epub Date: 2025-05-26 DOI: 10.1177/14604582251339418

Fariya Sultana Prity, Mohammad Mahmudul Hasan, Nafiz Fahad, Kah Ong Michael Goh, Md Jakir Hossen, Md Munjurul Islam

引用次数: 0