{"title":"Analysis of total RNA as a potential biomarker of developmental neurotoxicity in silico.","authors":"Snežana M Jovičić","doi":"10.1177/14604582241285832","DOIUrl":"https://doi.org/10.1177/14604582241285832","url":null,"abstract":"<p><p>A vast number of neurodegenerative disorders arise from neurotoxicity. In neurotoxicity, more than 250 RNA molecules are up and downregulated. The manuscript investigates the exposure of chlorpyrifos organophosphate pesticide (COP) effect on total RNA in murine brain tissue in 4 genotypes for in silico neurodegeneration development. The GSE58103 dataset from the Gene Expression Omnibus (GEO) database applies for data preprocessing, normalization, and quality control. Differential expression analysis (DEG) uses the limma package in R. Study compared expression profiles from murine fetal brain tissues across four genotypes: PON-1 knockout (KO), tgHuPON1Q192 (Q-tg), tgHuPON1R192 (R-tg), and wild-type (WT). We analyze 60 samples, 15 samples per genotype, to identify DEGs. The significance criteria are adjusted <i>p</i>-value <.05 and a |log2 fold change| > 1. The study identifies microRNA485 as the potential biomarker of COP toxicity using the GSE58103 dataset. Significant differences exist for microRNA485 between KO and WT groups by differential expression analysis. Moreover, graphical analysis shows sample relationships among genotype groups. MicroRNA485 represents a promising biomarker for developmental COP neurotoxicity by utilizing in silico analysis in scientific practice.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241285832"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395431","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}
Umut Arioz, Božidar Bratina, Izidor Mlakar, Nejc Plohl, Suzana Uran, Igor Robert Roj, Riko Šafarič, Valentino Šafran
{"title":"Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology.","authors":"Umut Arioz, Božidar Bratina, Izidor Mlakar, Nejc Plohl, Suzana Uran, Igor Robert Roj, Riko Šafarič, Valentino Šafran","doi":"10.1177/14604582241291380","DOIUrl":"https://doi.org/10.1177/14604582241291380","url":null,"abstract":"<p><p><b>Objectives:</b> Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. <b>Methods:</b> The Living Lab approach was implemented to split the study into sprints. The first split involves working with project partners and stakeholders to define the problem, brainstorm functionalities, and identify limitations (24 participants). The second split focuses on further requirement gathering, exploring real-world use cases, and considering ethical and privacy concerns (51 participants). <b>Results:</b> The project used iterative development cycles (5-8 months) to continuously improve the solution. Surveys revealed high satisfaction rates, with average scores of 4.0 and 3.6 for Sprints 1 and 2, respectively. Similarly, a team morale survey indicated a positive trend, with average scores of 7.6 and 8.18 for Sprints 1 and 2, respectively. <b>Conclusion:</b> Pilot 5 offers a promising solution to the evolving needs of modern hospitals. This study explores the integration of a social robotic system into nursing care to enhance quality and emphasizes stakeholder engagement, participatory design, and user-centered approaches in AI healthcare solutions.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241291380"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481348","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}
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":"<p><p><b>Objectives:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusions:</b> Findings suggest that VR scenarios are a promising strategy for enhancing life skills to help prevent health risk behaviors among university students.</p>","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}
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":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>Older adults with dementia/MCI had more positive impressions than people with schizophrenia. Both agreed that its quality was lower in Dependability.</p><p><strong>Conclusion: </strong>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.</p>","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}
Linda Watson, Se'era May Anstruther, Claire Link, Siwei Qi, Andrea DeIure, Dean Ruether
{"title":"Creating and implementing a medical consultation recording app: Improving health information recall and shared decision-making with My Care Conversations.","authors":"Linda Watson, Se'era May Anstruther, Claire Link, Siwei Qi, Andrea DeIure, Dean Ruether","doi":"10.1177/14604582241300304","DOIUrl":"https://doi.org/10.1177/14604582241300304","url":null,"abstract":"<p><p>Research indicates that recording medical consultations benefits patients by helping them recall information pertinent to their care. Cancer Care Alberta set out to develop a mobile recording app to enable patients to safely and securely record appointments and take notes. Stakeholder engagement was conducted with patients, healthcare providers, and the Alberta Health Services Legal & Privacy team. App testing was completed with patient and family advisors. The app was piloted in a clinic to assess workflow impacts before moving to a public launch. The app launched in late November 2018 and continues to be used by patients in the cancer program and beyond. Earlier in 2024, the app underwent additional testing with advisors and user-friendly improvements were made based on feedback and previous user reviews. This article summarizes the development, implementation, and sustainment of the My Care Conversations app. Implementation challenges and effective strategies are highlighted.</p>","PeriodicalId":55069,"journal":{"name":"Health Informatics Journal","volume":"30 4","pages":"14604582241300304"},"PeriodicalIF":2.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142632509","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}
{"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":"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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+. <b>Results:</b> 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%. <b>Conclusion:</b> This study shows the potential of using only ECG for detecting depression in OSA patients.</p>","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}
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":"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusion:</b> 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.</p>","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}
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":"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusion:</b> 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.</p>","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}
{"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":"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusion:</b> This health-hesitant fuzzy expert system will let Saudi Arabian and international healthcare stakeholders safely deploy IoMT sensors in the changing healthcare landscape.</p>","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}
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":"<p><p><b>Objective:</b> 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. <b>Methods</b>: 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. <b>Results:</b> 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. <b>Conclusion:</b> 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.</p>","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}