Health Informatics Journal最新文献_第4页

A secondary data analysis on hypotheses generated by inexperienced clinical researchers: Cases from a randomized controlled study. 对缺乏经验的临床研究人员提出的假设的二次数据分析：来自随机对照研究的病例。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-08-06 DOI: 10.1177/14604582251353587

Mytchell A Ernst, Brooke N Draghi, James J Cimino, Vimla L Patel, Yuchun Zhou, Jay H Shubrook, Sonsoles De Lacalle, Aneesa Weaver, Chang Liu, Xia Jing

{"title":"A secondary data analysis on hypotheses generated by inexperienced clinical researchers: Cases from a randomized controlled study.","authors":"Mytchell A Ernst, Brooke N Draghi, James J Cimino, Vimla L Patel, Yuchun Zhou, Jay H Shubrook, Sonsoles De Lacalle, Aneesa Weaver, Chang Liu, Xia Jing","doi":"10.1177/14604582251353587","DOIUrl":"10.1177/14604582251353587","url":null,"abstract":"Objectives: To obtain insights about inexperienced clinical researchers' hypothesis quality and associated factors. The findings inform the development of informatics tools to aid the hypothesis generation process. Methods: We analyzed an existing dataset collected through a randomized controlled study, focusing on individual hypotheses and participants. We invited clinical researchers to analyze datasets and develop hypotheses using the think-aloud method. Participants' screen activity and audio were recorded, transcribed, coded, and analyzed to measure the time and cognitive events (a granular unit of thought processes used by the participants while generating hypotheses). Hypotheses were rated by an expert panel. Here we analyzed (1) the top 5-rated hypotheses, (2) the bottom 5-rated hypotheses, and (3) the participants who generated them. Results: Participants who generated the top 5-rated hypotheses utilized fewer cognitive events and a shorter range of time per hypothesis; their hypotheses presented a higher valid rate, and they were more experienced. Conclusion: Having more experience is positively associated with higher quality and valid rates of the generated hypotheses. The higher-rated hypotheses seem to be positively associated with slightly fewer cognitive events and shorter time. The effect may not be linear. These analyses provide evidence for customized study designs or tool development based on these associated factors.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251353587"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144796171","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

Are electronic health record big data ready for secondary use in research? Exploring potential limitations with opioids as a case study. 电子健康记录大数据准备好在研究中二次使用了吗？探讨阿片类药物的潜在局限性作为案例研究。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-07-28 DOI: 10.1177/14604582251363501

Hanna M Tolonen, Jouni Kaukovuori, Marja Airaksinen, Anna-Riia Holmström

{"title":"Are electronic health record big data ready for secondary use in research? Exploring potential limitations with opioids as a case study.","authors":"Hanna M Tolonen, Jouni Kaukovuori, Marja Airaksinen, Anna-Riia Holmström","doi":"10.1177/14604582251363501","DOIUrl":"10.1177/14604582251363501","url":null,"abstract":"Healthcare big data has raised expectations for secondary use in research and information-based management. This case study explores limitations of using electronic health record (EHR) data from a hospital data lake by deriving indicators on opioid prescribing. A multi-staged method to calculate indicators of rational opioid use was developed covering both inpatient orders and outpatient prescriptions. The process included data selection, editing, organization, and validation. Visual Basic was employed to calculate indicators and to semi-quantify data limitations. Data (2015-2019) covered 3.3 million patients with 179,853 opioid and 22,415 benzodiazepine orders. Data quality issues, including unstructured, irregular, and invalid entries, limited analysis to indicators on opioid use and contraindications. In conclusion, secondary use should be considered in EHR system development. Data should be recorded in structured and unambiguous format, and methods for data quality measurement should be developed to ensure high-quality data is readily available in data lakes.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251363501"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144735531","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

Emerging trends in multi-modal artificial intelligence for clinical decision support: A narrative review. 临床决策支持中多模态人工智能的新趋势：叙述性回顾。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-08-13 DOI: 10.1177/14604582251366141

Nurittin Ardic, Rasit Dinc

{"title":"Emerging trends in multi-modal artificial intelligence for clinical decision support: A narrative review.","authors":"Nurittin Ardic, Rasit Dinc","doi":"10.1177/14604582251366141","DOIUrl":"10.1177/14604582251366141","url":null,"abstract":"Multimodal artificial intelligence (MMAI) integrates and interprets diverse data types, such as images, text, video, and audio, and offers new opportunities for clinical decision support systems (CDSSs). Traditional CDSSs rely on unimodal data, which limits their predictive accuracy and coverage. The incorporation of MMAI holds promise for more accurate diagnosis, treatment optimization, and personalized patients care by synthesizing heterogeneous data sources. This narrative review explores the growing role of MMAI in improving diagnostic sensitivity, personalizing treatment, and improving healthcare delivery through the integration of heterogeneous data sources. It examines the evolution of MMAI technologies, such as large language models, large vision models, vision-language models, and large multimodal models, and their practical applications in clinical settings. The review also addresses key ethical, technical, and infrastructure challenges, such as data quality, model interpretability, bias, and system interoperability. Finally, it provides strategic recommendations for clinicians, researchers, and policy makers to promote responsible adoption of MMAI in healthcare. While recent developments show significant promise, addressing current limitations is essential to fully realize the transformative potential of MMAI in modern medicine.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"31 3","pages":"14604582251366141"},"PeriodicalIF":2.3,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849690","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

Validation of the transformed clinical practice research datalink (CPRD) GOLD and aurum data into the OMOP common data model. 临床实践研究数据链（CPRD） GOLD和aurum数据转化为OMOP公共数据模型的验证。

IF 2.3 3区医学

Health Informatics Journal Pub Date : 2025-07-01 Epub Date: 2025-09-16 DOI: 10.1177/14604582251381270

George Kafatos, Joe Maskell, Olia Archangelidi, David Neasham

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