Health Informatics Journal最新文献_第10页

Using virtual reality technology to prevent substance misuse and violence among university students: A pilot and feasibility study. 利用虚拟现实技术预防大学生滥用药物和暴力行为：试点和可行性研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241290712

Kenneth W Griffin, Gilbert J Botvin, Christopher Williams, Sandra M Sousa

{"title":"Using virtual reality technology to prevent substance misuse and violence among university students: A pilot and feasibility study.","authors":"Kenneth W Griffin, Gilbert J Botvin, Christopher Williams, Sandra M Sousa","doi":"10.1177/14604582241290712","DOIUrl":"https://doi.org/10.1177/14604582241290712","url":null,"abstract":"Objectives: New prevention approaches that use engaging and innovative technologies are needed to reduce high rates of substance use and violence among university students. The present study developed and pilot-tested virtual reality (VR) technology that presented university students with immersive environments where they practiced skills with virtual peers. Methods: After viewing e-learning modules with prevention content, students engaged with immersive VR module prototypes to practice cognitive-behavioral skills for preventing risk behaviors, including assertive communication, negotiation, compromise, conflict resolution, and bystander intervention strategies. Results: Paired t-tests showed increases in life skills knowledge and anti-violence attitudes among students from the pretest to posttest assessments. Students and educators were enthusiastic about the VR prototypes, rating them as feasible, relevant, appealing, engaging, and innovative for prevention. Participants provided feedback on ways to improve the VR experience by including a greater variety of conflict situations, more nuanced branched scenarios and response options, and a more complete representation of all scenario outcomes. Conclusions: Findings suggest that VR scenarios are a promising strategy for enhancing life skills to help prevent health risk behaviors among university students.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241290712"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481349","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

Usability and user experience impressions of older adults with cognitive impairment and people with schizophrenia towards GRADIOR, a cognitive rehabilitation program: A cross-sectional study. 认知障碍老年人和精神分裂症患者对认知康复项目 GRADIOR 的可用性和用户体验印象：横断面研究

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241295938

Leslie María Contreras-Somoza, José Miguel Toribio-Guzmán, Eider Irazoki, María José Viñas-Rodríguez, Susana Gil-Martínez, María Castaño-Aguado, Elisabeth Lucas-Cardoso, Esther Parra-Vidales, María Victoria Perea-Bartolomé, Manuel Ángel Franco-Martín

{"title":"Usability and user experience impressions of older adults with cognitive impairment and people with schizophrenia towards GRADIOR, a cognitive rehabilitation program: A cross-sectional study.","authors":"Leslie María Contreras-Somoza, José Miguel Toribio-Guzmán, Eider Irazoki, María José Viñas-Rodríguez, Susana Gil-Martínez, María Castaño-Aguado, Elisabeth Lucas-Cardoso, Esther Parra-Vidales, María Victoria Perea-Bartolomé, Manuel Ángel Franco-Martín","doi":"10.1177/14604582241295938","DOIUrl":"https://doi.org/10.1177/14604582241295938","url":null,"abstract":"Objective: The aim of this study was to evaluate and compare the impressions of older adults with mild dementia/MCI (mild cognitive impairment) and people with schizophrenia towards the usability of GRADIOR (version 4.5) and their user experience (UX) with this computerized cognitive rehabilitation program.Methods: The impressions towards the usability of GRADIOR and the UX of 41 older adults with mild dementia/MCI and 41 people with schizophrenia were obtained using the User Experience Questionnaire.Results: Older adults with dementia/MCI had more positive impressions than people with schizophrenia. Both agreed that its quality was lower in Dependability.Conclusion: GRADIOR meets users' needs and preferences but needs improvements to ensure they feel more in control when interacting with it. For people with schizophrenia, other aspects of usability and UX need improvement. Usability and UX evaluation allow the verification of technological acceptability and functionality, and to identifying specific improvements for each user group.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241295938"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568128","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

Creating and implementing a medical consultation recording app: Improving health information recall and shared decision-making with My Care Conversations. 创建并实施医疗咨询记录应用程序：通过 "我的护理对话 "改进健康信息回忆和共同决策。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241300304

Linda Watson, Se'era May Anstruther, Claire Link, Siwei Qi, Andrea DeIure, Dean Ruether

引用次数: 0

Expectations and opinions regarding the implementation of a computerized physician order entry (CPOE) system - a before-and-after survey. 关于计算机化医嘱输入（CPOE）系统实施的期望和意见-前后调查。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241304717

Viktoria Jungreithmayr, Walter E Haefeli, Hanna M Seidling

{"title":"Expectations and opinions regarding the implementation of a computerized physician order entry (CPOE) system - a before-and-after survey.","authors":"Viktoria Jungreithmayr, Walter E Haefeli, Hanna M Seidling","doi":"10.1177/14604582241304717","DOIUrl":"https://doi.org/10.1177/14604582241304717","url":null,"abstract":"Objective: Despite the documented beneficial effects of computerized physician order entry (CPOE) systems and despite numerous incentives for their adoption in various countries around the globe implementation teams encounter unexpected difficulties when launching CPOE systems. This survey aimed at gathering users' opinions on CPOE implementation. Additional factors that can be influenced by CPOE implementation were equally considered, namely workplace satisfaction, interprofessional collaboration, patient safety climate, system usability, and organisational readiness to implement change. Methods: We performed a mixed-mode survey at a tertiary care university hospital that introduced a commercial CPOE system. The survey consisted of validated questionnaires, self-developed, and socio-demographic questions. It was distributed both before and after CPOE implementation. Answers were descriptively analysed, compared between time-points, and assessed in relation to socio-demographic characteristics. Results: Users showed very diverse and only cautiously optimistic opinions towards CPOE implementation, which remained mainly unchanged during the post-survey. Respondents rated the system usability, organisational readiness for implementing change, and patient safety climate rather poorly, while workplace satisfaction and interprofessional collaboration were rated positively. Conclusion: This survey contributes to understanding user perspectives by providing valuable insights into user opinions before and after CPOE implementation, taking into account a range of associated factors.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241304717"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142866502","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

Screening major depressive disorder in patients with obstructive sleep apnea using single-lead ECG recording during sleep. 利用睡眠期间的单导联心电图记录筛查阻塞性睡眠呼吸暂停患者的重度抑郁障碍。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241300012

Vikash Shaw, Quoc Cuong Ngo, Nemuel Daniel Pah, Guilherme Oliveira, Ahsan Habib Khandoker, Prasant Kumar Mahapatra, Dinesh Pankaj, Dinesh K Kumar

{"title":"Screening major depressive disorder in patients with obstructive sleep apnea using single-lead ECG recording during sleep.","authors":"Vikash Shaw, Quoc Cuong Ngo, Nemuel Daniel Pah, Guilherme Oliveira, Ahsan Habib Khandoker, Prasant Kumar Mahapatra, Dinesh Pankaj, Dinesh K Kumar","doi":"10.1177/14604582241300012","DOIUrl":"https://doi.org/10.1177/14604582241300012","url":null,"abstract":"Objective: A large number of people with obstructive sleep apnea (OSA) also suffer from major depressive disorder (MDD), leading to underdiagnosis due to overlapping symptoms. Polysomnography has been considered to identify MDD. However, limited access to sleep clinics makes this challenging. In this study, we propose a model to detect MDD in people with OSA using an electrocardiogram (ECG) during sleep. Methods: The single-lead ECG data of 32 people with OSA (OSAD-) and 23 with OSA and MDD (OSAD+) were investigated. The first 60 min of their recordings after sleep were segmented into 30-s segments and 13 parameters were extracted: PR, QT, ST, QRS, PP, and RR; mean heart rate; two time-domain HRV parameters: SDNN, RMSSD; and four frequency heart rate variability parameters: LF_power, HF_power, total power, and the ratio of LF_power/HF_power. The mean and standard deviation of these parameters were the input to a support vector machine which was trained to separate OSAD- and OSAD+. Results: The proposed model distinguished between OSAD+ and OSAD- groups with an accuracy of 78.18%, a sensitivity of 73.91%, a specificity of 81.25%, and a precision of 73.91%. Conclusion: This study shows the potential of using only ECG for detecting depression in OSA patients.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241300012"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683286","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

"It tracks me!": An analysis of apple watch nudging and user adoption mechanisms. "它能追踪我！"：苹果手表的诱导和用户采用机制分析。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241291405

Grigorios Asimakopoulos, Stavros Asimakopoulos, Frank Spillers

{"title":"\"It tracks me!\": An analysis of apple watch nudging and user adoption mechanisms.","authors":"Grigorios Asimakopoulos, Stavros Asimakopoulos, Frank Spillers","doi":"10.1177/14604582241291405","DOIUrl":"10.1177/14604582241291405","url":null,"abstract":"Objective: The current study aims to understand how Apple Watch helped users maintain wellness routines during the COVID-19 lockdown period, where access to public gyms and spaces was curtailed. We explore the effectiveness of biofeedback engagement aspects of Apple Watch: goals, alerts and notifications, and sociability aspects of the device or social interaction with other users. Methods: We report the results of a 2-week digital diary study based in the United States with 10 adults with 6 months or longer exposure to Apple Watch, followed by online survey responses gathered from 330 additional users. Results: The study findings show how Apple Watch transforms notifications from distractions into positive wellness tools. Data suggests that personal context (custom goals and supported intent) combined with motivational nudges from alerts and notifications as well as contextually triggered nudges contribute to Apple Watch user adoption and satisfaction. Conclusion: This study highlights how Apple Watch transforms notifications from distractions into positive wellness tools; emphasizing the importance of balancing nudging with customization with user control. Sociability and privacy remain crucial, especially with biofeedback-enabled fitness trackers. We conclude that Apple Watch enhances user engagement by triggering context-relevant interactions, nudging users to achieve their goals through small, motivated behaviors.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291405"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632499","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

Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy sets. 使用犹豫模糊集确保物联网医疗传感器的完整性评估。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241301019

Waeal J Obidallah

{"title":"Ensuring the integrity assessment of IoT medical sensors using hesitant fuzzy sets.","authors":"Waeal J Obidallah","doi":"10.1177/14604582241301019","DOIUrl":"https://doi.org/10.1177/14604582241301019","url":null,"abstract":"Objective: The Internet of Medical Things (IoMT) is transforming healthcare systems, but concerns about device integrity and sensitive data are growing. The study aims to develop a framework for evaluating and prioritizing integrity schemes in healthcare for IoT-based medical sensor devices, addressing the challenges of selecting the right authentication solution due to its complexity and intricacy. Methods: A unified health-hesitant fuzzy expert system for IoMT sensor integrity assessment in Saudi Arabia is described in this paper. Medical sensor integrity literature and professionals are contacted first. Delphi is used to gather attributes of integrity approaches while an Internet of Things medical sensor integrity specialist supervises the operation. After collecting characteristics, good assessment criteria are created and the hesitant fuzzy analytic network procedure is used to assess integrity. Results: Functional integrity and measurement accuracy are the biggest factors in IoMT sensor security and integrity, according to assessment. The framework achieves 93%, 94%, and 95% precision, accuracy, and recall compared to current approaches. The framework helps healthcare integrity security professionals and stakeholders assess and resolve IoT medical sensor authentication issues. Conclusion: This health-hesitant fuzzy expert system will let Saudi Arabian and international healthcare stakeholders safely deploy IoMT sensors in the changing healthcare landscape.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241301019"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632510","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

Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots. 评价聊天机器人对眼内炎常见问题的回答的可靠性和可读性：一项关于聊天机器人的横断面研究。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241304679

Suleyman Demir

{"title":"Evaluation of the reliability and readability of answers given by chatbots to frequently asked questions about endophthalmitis: A cross-sectional study on chatbots.","authors":"Suleyman Demir","doi":"10.1177/14604582241304679","DOIUrl":"https://doi.org/10.1177/14604582241304679","url":null,"abstract":"Objective: This study aimed to investigate the accuracy, reliability, and readability of A-Eye Consult, ChatGPT-4.0, Google Gemini and Copilot AI large language models (LLMs) in responding to patient questions about endophthalmitis. Methods: The LLMs' responses to 25 questions about endophthalmitis, frequently asked by patients, were evaluated by two ophthalmologists using a five-point Likert scale, with scores ranging from 1-5. The DISCERN scale assessed the reliability of the LLMs' responses, whereas the Flesch Reading Ease (FRE) and Flesch-Kincaid Grade Level (FKGL) indices assessed readability and text complexity, respectively. Results: A-Eye Consult and ChatGPT-4.0 outperformed Google Gemini and Copilot in providing comprehensive and precise responses. The Likert score significantly differed across all four LLMs (p < .001), with A-Eye Consult scoring significantly higher than Google Gemini and Copilot (p < .001). Conclusions: A-Eye Consult and ChatGPT-4.0 responses, while more complex than those of other LLMs, provided more reliable and accurate information.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241304679"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755789","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 a natural language processing toolkit to classify electronic health records by psychiatric diagnosis. 使用自然语言处理工具包按精神病诊断对电子健康记录进行分类。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241296411

Alissa Hutto, Tarek M Zikry, Buck Bohac, Terra Rose, Jasmine Staebler, Janet Slay, C Ray Cheever, Michael R Kosorok, Rebekah P Nash

{"title":"Using a natural language processing toolkit to classify electronic health records by psychiatric diagnosis.","authors":"Alissa Hutto, Tarek M Zikry, Buck Bohac, Terra Rose, Jasmine Staebler, Janet Slay, C Ray Cheever, Michael R Kosorok, Rebekah P Nash","doi":"10.1177/14604582241296411","DOIUrl":"10.1177/14604582241296411","url":null,"abstract":"Objective: We analyzed a natural language processing (NLP) toolkit's ability to classify unstructured EHR data by psychiatric diagnosis. Expertise can be a barrier to using NLP. We employed an NLP toolkit (CLARK) created to support studies led by investigators with a range of informatics knowledge. Methods: The EHR of 652 patients were manually reviewed to establish Depression and Substance Use Disorder (SUD) labeled datasets, which were split into training and evaluation datasets. We used CLARK to train depression and SUD classification models using training datasets; model performance was analyzed against evaluation datasets. Results: The depression model accurately classified 69% of records (sensitivity = 0.68, specificity = 0.70, F1 = 0.68). The SUD model accurately classified 84% of records (sensitivity = 0.56, specificity = 0.92, F1 = 0.57). Conclusion: The depression model performed a more balanced job, while the SUD model's high specificity was paired with a low sensitivity. NLP applications may be especially helpful when combined with a confidence threshold for manual review.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241296411"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11657637/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs. 在临床笔记中描述垂体腺瘤的特征：语料库构建及其在 LLM 中的应用。

IF 2.2 3区医学

Health Informatics Journal Pub Date : 2024-10-01 DOI: 10.1177/14604582241291442

Jiahui Hu, Jin Fu, Wanqing Zhao, Pei Lou, Ming Feng, Huiling Ren, Shanshan Feng, Yansheng Li, An Fang

{"title":"Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs.","authors":"Jiahui Hu, Jin Fu, Wanqing Zhao, Pei Lou, Ming Feng, Huiling Ren, Shanshan Feng, Yansheng Li, An Fang","doi":"10.1177/14604582241291442","DOIUrl":"https://doi.org/10.1177/14604582241291442","url":null,"abstract":"Objective: Faced with the challenges of differential diagnosis caused by the complex clinical manifestations and high pathological heterogeneity of pituitary adenomas, this study aims to construct a high-quality annotated corpus to characterize pituitary adenomas in clinical notes containing rich diagnosis and treatment information. Methods: A dataset from a pituitary adenomas neurosurgery treatment center of a tertiary first-class hospital in China was retrospectively collected. A semi-automatic corpus construction framework was designed. A total of 2000 documents containing 9430 sentences and 524,232 words were annotated, and the text corpus of pituitary adenomas (TCPA) was constructed and analyzed. Its potential application in large language models (LLMs) was explored through fine-tuning and prompting experiments. Results: TCPA had 4782 medical entities and 28,998 tokens, achieving good quality with the inter-annotator agreement value of 0.862-0.986. The LLMs experiments showed that TCPA can be used to automatically identify clinical information from free texts, and introducing instances with clinical characteristics can effectively reduce the need for training data, thereby reducing labor costs. Conclusion: This study characterized pituitary adenomas in clinical notes, and the proposed method were able to serve as references for relevant research in medical natural language scenarios with highly specialized language structure and terminology.","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291442"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395432","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