Yael Zekaria, Antonia Tzemanaki, Jonathan Rossiter
{"title":"Requirements and Value Elicitation for a High-Fidelity Pelvic Floor Simulator for Physiotherapists: Mixed Methods Study.","authors":"Yael Zekaria, Antonia Tzemanaki, Jonathan Rossiter","doi":"10.2196/72119","DOIUrl":"10.2196/72119","url":null,"abstract":"<p><strong>Background: </strong>Physiotherapists lack training opportunities for repeated practice of pelvic examinations for the identification of pelvic floor disorders (PFDs), leading to low confidence in the clinical setting. Pelvic simulators exist and are a valuable supplement to the medical curriculum, yet none demonstrate pelvic floor muscle (PFM) function or dysfunction. To design effective simulators, an assessment of end-user requirements is essential.</p><p><strong>Objective: </strong>This study aimed to elicit physiotherapists' needs and requirements for a high-fidelity PFM simulator and the associated use cases.</p><p><strong>Methods: </strong>This study followed a mixed methods design by collecting qualitative and quantitative data from a web-based survey. Quantitative data were analyzed using descriptive statistics and differences between demographic groups were calculated using 2-sample Kolmogorov-Smirnov 2-sided tests. Qualitative data were analyzed using thematic analysis.</p><p><strong>Results: </strong>In total, 66 physiotherapists completed the survey. The most common suggested use cases of the simulator were for training and professional development (56/66, 84.9%), and patient education (48/66, 72.7%). Pelvic organ prolapse and muscle tone function and dysfunction were identified as the most useful PFDs for the simulator to demonstrate. Positional tracking and force sensing were considered important features and there was a preference for a generic over a pathology-specific or patient-specific simulator. A total of 3 themes emerged through the qualitative analysis: prioritizing patient care; representing the variability in anatomy and PFDs for simulator realism; and consideration of the implementation, cost, and accessibility of simulators.</p><p><strong>Conclusions: </strong>There is value in PFM simulators for physiotherapists for multiple use cases. Design recommendations include using realistic materials, demonstrating PFM dynamics, modularity to vary the complexity for different end-users, offering a range of feedback modalities for position and pressure sensing, and ensuring affordability and curriculum integration.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e72119"},"PeriodicalIF":2.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144080989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nima Zargham, Anke V Reinschluessel, Andre Mühlenbrock, Thomas Muender, Timur Cetin, Verena Nicole Uslar, Dirk Weyhe, Rainer Malaka, Tanja Döring
{"title":"Using Gesture and Speech to Control Surgical Lighting Systems: Mixed Methods Study.","authors":"Nima Zargham, Anke V Reinschluessel, Andre Mühlenbrock, Thomas Muender, Timur Cetin, Verena Nicole Uslar, Dirk Weyhe, Rainer Malaka, Tanja Döring","doi":"10.2196/70628","DOIUrl":"10.2196/70628","url":null,"abstract":"<p><strong>Background: </strong>Surgical lighting systems (SLSs) provide optimal lighting conditions for operating room personnel. Current systems are mainly adjusted by hand; surgeons either accommodate the light themselves or communicate their requirements to an assistant to ensure optimal surgical conditions. This poses challenges to maintaining sterility, proper accessibility, and illumination and can lead to potential collision problems. Furthermore, the personnel operating the light may not have deep medical knowledge or equipment expertise.</p><p><strong>Objective: </strong>This paper introduces a touch-free interaction concept for controlling an SLS using speech and gestures.</p><p><strong>Methods: </strong>We used an iterative, user-centered design approach with participatory design sessions. This process involved conducting a literature review, several observations of actual surgical sites, and engaging stakeholders through interviews and focus groups. In addition, we carried out 2 user studies: one in a virtual reality setup and another in a living laboratory environment.</p><p><strong>Results: </strong>Our findings indicate that our interaction concept is a viable alternative for controlling an SLS. Despite some technical limitations, surgical experts found the system intuitive and useful, recognizing the significant potential for touch-free lighting adjustments in the operating room. The combination of speech and gesture modalities was seen as helpful and even necessary, with some interactions better suited to one modality over the other. Offering both modalities for each interaction provided greater flexibility.</p><p><strong>Conclusions: </strong>Our findings suggest that our proposed touch-free interaction concept can enhance surgical conditions and has the potential to replace traditional adjustment.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e70628"},"PeriodicalIF":2.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12107204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tania Tajirian, Brian Lo, Gillian Strudwick, Adam Tasca, Emily Kendell, Brittany Poynter, Sanjeev Kumar, Po-Yen Brian Chang, Candice Kung, Debbie Schachter, Gwyneth Zai, Michael Kiang, Tamara Hoppe, Sara Ling, Uzma Haider, Kavini Rabel, Noelle Coombe, Damian Jankowicz, Sanjeev Sockalingam
{"title":"Assessing the Impact on Electronic Health Record Burden After Five Years of Physician Engagement in a Canadian Mental Health Organization: Mixed-Methods Study.","authors":"Tania Tajirian, Brian Lo, Gillian Strudwick, Adam Tasca, Emily Kendell, Brittany Poynter, Sanjeev Kumar, Po-Yen Brian Chang, Candice Kung, Debbie Schachter, Gwyneth Zai, Michael Kiang, Tamara Hoppe, Sara Ling, Uzma Haider, Kavini Rabel, Noelle Coombe, Damian Jankowicz, Sanjeev Sockalingam","doi":"10.2196/65656","DOIUrl":"10.2196/65656","url":null,"abstract":"<p><strong>Background: </strong>The burden caused by the use of electronic health record (EHR) systems continues to be an important issue for health care organizations, especially given human resource shortages in health care systems globally. As physicians report spending 2 hours documenting for every hour of patient care, there has been strong interest from many organizations to understand and address the root causes of physician burnout due to EHR burden.</p><p><strong>Objective: </strong>This study focuses on evaluating physician burnout related to EHR usage and the impact of a physician engagement strategy at a Canadian mental health organization 5 years after implementation.</p><p><strong>Methods: </strong>A cross-sectional survey was conducted to assess the perceived impact of the physician engagement strategy on burnout associated with EHR use. Physicians were invited to participate in a web-based survey that included the Mini-Z Burnout questionnaire, along with questions about their perceptions of the EHR and the effectiveness of the initiatives within the physician engagement strategy. Descriptive statistics were applied to analyze the quantitative data, while thematic analysis was used for the qualitative data.</p><p><strong>Results: </strong>Of the 254 physicians invited, 128 completed the survey, resulting in a 50% response rate. Among the respondents, 26% (33/128) met the criteria for burnout according to the Mini-Z questionnaire, with 61% (20/33) of these attributing their burnout to EHR use. About 52% of participants indicated that the EHR improves communication (67/128) and 38% agreed that the EHR enables high-quality care (49/128). Regarding the physician engagement strategy initiatives, 39% (50/128) agreed that communication through the strategy is efficient, and 75% (96/128) felt more proficient in using the EHR. However, additional areas for improvement within the EHR were identified, including (1) medication reconciliation and prescription processes; (2) chart navigation and information retrieval; (3) longitudinal medication history; and (4) technology infrastructure challenges.</p><p><strong>Conclusions: </strong>This study highlights the potential impact of EHRs on physician burnout and the effectiveness of a unique physician engagement strategy in fostering positive perceptions and improving EHR usability among physicians. By evaluating this initiative in a real-world setting, the study contributes to the broader literature on strategies aimed at enhancing physician experience following large-scale EHR implementation. However, the findings indicate a continued need for system-level improvements to maximize the value and usage of EHRs. The physician engagement strategy demonstrates the potential to enhance physicians' EHR experience. Future efforts should prioritize system-level advancements to increase the EHR's impact on quality of care and develop standardized approaches for engaging physicians on a broader Canadian sca","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e65656"},"PeriodicalIF":2.6,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12083741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144022580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michael Rubyan, Yana Gouseinov, Mikayla Morgan, Deborah Rubyan, Divya Jahagirdar, David Choberka, Carol J Boyd, Clayton Shuman
{"title":"Evaluating the Usability, Acceptability, User Experience, and Design of an Interactive Responsive Platform to Improve Perinatal Nurses' Stigmatizing Attitudes Toward Substance Use in Pregnancy: Mixed Methods Study.","authors":"Michael Rubyan, Yana Gouseinov, Mikayla Morgan, Deborah Rubyan, Divya Jahagirdar, David Choberka, Carol J Boyd, Clayton Shuman","doi":"10.2196/67685","DOIUrl":"10.2196/67685","url":null,"abstract":"<p><strong>Background: </strong>Perinatal nurses are increasingly encountering patients who have engaged in perinatal substance use (PSU). Despite growing evidence demonstrating the need to reduce nurses' stigmatizing attitudes toward PSU, limited interventions are available to target these attitudes and support behavior change, especially those reflecting the overwhelming evidence that education alone is insufficient to change practice behavior. Arts-based interventions are associated with increasing nursing empathy, changing patient attitudes, improving reflective practice, and decreasing stigma. We adapted ArtSpective for PSU-a previously evaluated, in-person, arts-based intervention to reduce stigma toward PSU among perinatal nurses-into an interactive, digital, and responsive platform that facilitates intervention delivery asynchronously.</p><p><strong>Objective: </strong>This study aimed to evaluate the usability, acceptability, and feasibility of the interactive, responsive platform version of ArtSpective for PSU. Our goal was to elicit the strengths and weaknesses of the responsive platform by evaluating the user experience to identify strategies to overcome them.</p><p><strong>Methods: </strong>This study used a mixed methods approach to explore the platform's usability, user experience, and acceptability as an intervention to address stigma and implicit bias related to PSU. Theatre testing was used to qualitatively assess usability and acceptability perspectives with nurses and experts; a modified version of the previously validated 8-item Abbreviated Acceptability Rating Profile was used for quantitative assessment. Quantitative data for acceptability and satisfaction were analyzed using descriptive statistics. All qualitative data were analyzed iteratively using an inductive framework analysis approach.</p><p><strong>Results: </strong>Overall, 21 nurses and 4 experts in stigma, implicit bias, and instructional design completed theatre-testing sessions. The mean duration of interviews was 31.92 (SD 11.32) minutes for nurses and 40.73 (SD 8.57) minutes for experts. All participants indicated that they found the digital adaptation of the intervention to be highly acceptable, with mean acceptability items ranging from 5.0 (SD 1.0) to 5.5 (SD 0.6) on a 1-6 agreement scale. Nurses reported high satisfaction with the platform, with mean satisfaction items ranging from 5.14 (SD 0.56) to 5.29 (SD 0.63) on a 1-6 agreement scale. In total, 1797 interview segments were coded from the theatre-testing sessions with 4 major themes: appearance, navigation, characterization, and overall platform, and 16 subthemes were identified. Consistent with the quantitative findings, the results were positive overall, with participants expressing high satisfaction related to the platform's appearance, the ease with which they could navigate the various modules, engagement, clarity of the presentation, and feasibility of being completed asynchronously.</p><p><stro","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":" ","pages":"e67685"},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12099274/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143732131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fritz Seidl, Florian Hinterwimmer, Ferdinand Vogt, Günther M Edenharter, Karl F Braun, Rüdiger von Eisenhart-Rothe, Peter Biberthaler, Dominik Pförringer
{"title":"Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study.","authors":"Fritz Seidl, Florian Hinterwimmer, Ferdinand Vogt, Günther M Edenharter, Karl F Braun, Rüdiger von Eisenhart-Rothe, Peter Biberthaler, Dominik Pförringer","doi":"10.2196/60779","DOIUrl":"10.2196/60779","url":null,"abstract":"<p><strong>Background: </strong>Digital solutions are gaining increasing importance and present a challenge regarding their introduction and acceptance into professional medical environments. Significant advances have been made regarding the availability, safety, and ease of use of data generated by a multitude of devices and wearables. However, data security and data protection are delaying factors. The underlying analysis focuses on the use and acceptance of digital solutions, and their respective differences between health care professionals and patients.</p><p><strong>Objective: </strong>This study examines the current use and acceptance of digital solutions among health care professionals and patients. In addition, it derives an outlook on future developments and expectations in the setting of innovative technologies able to penetrate the health market.</p><p><strong>Methods: </strong>An anonymous web-based survey of 23 multiple-choice and 3 open-text questions was conducted among medical professionals and patients between April and September 2023. In this study, quantitative analysis was performed using Python, with Pandas for data processing and Matplotlib for visualization. Chi-square tests were used to analyze binary categorical data, while Mann-Whitney U tests were used to evaluate ordinal data. Additionally, a qualitative analysis was conducted to summarize the results of the open-ended questions.</p><p><strong>Results: </strong>During 178 days, the survey garnered 2058 clicks, resulting in 1389 participants (67.5% response rate). A total of 1002 participants completed the entire questionnaire, while 387 (27.9%) did not finish. Incomplete responses were excluded from the comprehensive analysis. The sample comprised 271 (27%) physicians and 731 (73%) patients. The study found significant agreement between both groups in adopting and foreseeing the use of digital health tools and telemedicine. Both groups recognized the future importance of digital health without substantial differences.</p><p><strong>Conclusions: </strong>Overall, attitudes toward digital health and telemedicine were consistent, reflecting a uniform acceptance and expectation of these technologies among health care professionals and patients. The consensus on telemedicine's future role over the next 5 years indicates a unified vision for digital health paradigms. These consistencies between the 2 groups might be future drivers for improvements in accessibility, convenience, and efficiency in health care delivery.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e60779"},"PeriodicalIF":2.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12080968/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144047565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improving Access to and Delivery of Maternal Health Care Services to Prevent Postpartum Hemorrhage in Selected States in Nigeria: Human-Centered Design Study.","authors":"Bosun Tijani, Uchenna Igbokwe, Temi Filani, Adefemi Adewemimo, Lola Ameyan, Martins Iyekekpolor, Steven Karera, Olatunji Oluyide, Emmanuela Ezike, Temidayo Akinreni, Obruche Ogefere, Victor Adetimilehin, Valentine Amasiatu, Chukwunonso Nwaokorie, Naanma Kangkum, Olufunke Fasawe, Eric Aigbogun","doi":"10.2196/58577","DOIUrl":"10.2196/58577","url":null,"abstract":"<p><strong>Background: </strong>A significant cause of postpartum hemorrhage (PPH) is access to and delivery of maternal health care services. Several multisectoral strategies have been deployed to address the challenges with little success, thereby necessitating the use of human-centered design (HCD) to enhance health care delivery, particularly in PPH management.</p><p><strong>Objective: </strong>This study aims to develop facility-level solutions for optimizing uterotonic supply chain systems and health service delivery in PPH management through an HCD approach in selected Nigerian states.</p><p><strong>Methods: </strong>The research used a four-phase HCD methodology: (1) co-research, (2) co-design, (3) co-refinement, and (4) implementation. However, this paper focused on the first 3 phases. In the co-research phase, 203 interviews were conducted, involving 80 pregnant women and nursing mothers, 97 health care workers, and 26 key stakeholders. Additionally, 33 sites were observed across a 3-level continuum of care. Interviews and focus group discussions revealed insights into the distribution of health workers and observed PPH cases, alongside knowledge and administration of uterotonics. Data analysis was carried out using three key steps: (1) identifying key themes from the collected data, (2) developing insight statements that encapsulate these themes, and (3) translating each insight statement into actionable design opportunities.</p><p><strong>Results: </strong>About 150 ideas were produced and translated into 12 solution prototypes in the co-design phase. Progressive refinement following feedback from 140 stakeholders led to the selection of three final solutions: (1) implementing a referral linkage system to improve the transportation of pregnant women to nearby health facilities, (2) increasing demand for antenatal care services among pregnant women and their families, and (3) delivering a comprehensive uterotonic logistics management program for streamlined uterotonic storage and management.</p><p><strong>Conclusions: </strong>This approach aligns with global health trends advocating for HCD integration in health care programming and aims to empower local champions to drive sustainable improvements in maternal health outcomes. Judicious implementation of the developed prototypes across the states can strengthen clinical care and potentially reduce maternal health service delivery gaps.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e58577"},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077849/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emil Eirik Kvernberg Thomassen, Anne Therese Tveter, Inger Jorid Berg, Eirik Klami Kristianslund, Andrew Reiner, Sarah Hakim, Laure Gossec, Gary J Macfarlane, Annette de Thurah, Nina Østerås
{"title":"Feasibility of Long-Term Physical Activity Measurement With a Wearable Activity Tracker in Patients With Axial Spondyloarthritis: 1-Year Longitudinal Observational Study.","authors":"Emil Eirik Kvernberg Thomassen, Anne Therese Tveter, Inger Jorid Berg, Eirik Klami Kristianslund, Andrew Reiner, Sarah Hakim, Laure Gossec, Gary J Macfarlane, Annette de Thurah, Nina Østerås","doi":"10.2196/68645","DOIUrl":"10.2196/68645","url":null,"abstract":"<p><strong>Background: </strong>Using wearable activity trackers shows promise in measuring physical activity in patients with axial spondyloarthritis (axSpA). However, little is known regarding the feasibility of long-term use.</p><p><strong>Objectives: </strong>This study aimed to explore the feasibility of recording physical activity using a wearable activity tracker and describe wear-time patterns among patients with axSpA.</p><p><strong>Methods: </strong>Data from a randomized controlled trial (NCT: 05031767) were analyzed. Patients with axSpA and low disease activity were recruited from an outpatient clinic and asked to wear a Garmin vívosmart 4 activity tracker for 1 year. The activity tracker measured steps and heart rate. Trial feasibility (eligibility, inclusion rate, and patient characteristics), technical feasibility (data recorded, tracker adherence, ie, days worn, and missing data), and operational feasibility (synchronization reminders and tracker replacements) were analyzed. Tracker adherence was calculated as the percentage of recorded minutes of the maximum possible minutes. Unsupervised hierarchical clustering was used to explore tracker wear-time patterns.</p><p><strong>Results: </strong>Of the 160 patients screened, 75 (47%) agreed to use the tracker and 64 (85%) were analyzed (11 had insufficient data). The median activity tracker adherence over 1 year was 66% (IQR 30-86). There was 30% missing step and 0.01% heart rate data in the physical activity dataset. A median of 18 (IQR 9-25) reminders per patient to synchronize activity data were distributed. Analysis of wear-time patterns resulted in 3 groups: Adherent (33/64, 51% of patients), Minimal Use (17/64, 27%), and Intermittently adherent (14/64, 22%).</p><p><strong>Conclusions: </strong>Trial feasibility was low, while technical and operational feasibility were acceptable. Only 51% of the patients were highly adherent. Activity trackers, though trendy, have low to moderate feasibility over 1 year in patients with axSpA. Automated synchronization and adherence barriers should be further explored.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e68645"},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077851/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143989284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Adam Jerome Salyers, Sheana Bull, Joshva Silvasstar, Kevin Howell, Tara Wright, Farnoush Banaei-Kashani
{"title":"Building and Beta-Testing Be Well Buddy Chatbot, a Secure, Credible and Trustworthy AI Chatbot That Will Not Misinform, Hallucinate or Stigmatize Substance Use Disorder: Development and Usability Study.","authors":"Adam Jerome Salyers, Sheana Bull, Joshva Silvasstar, Kevin Howell, Tara Wright, Farnoush Banaei-Kashani","doi":"10.2196/69144","DOIUrl":"10.2196/69144","url":null,"abstract":"<p><strong>Background: </strong>Artificially intelligent (AI) chatbots that deploy natural language processing and machine learning are becoming more common in health care to facilitate patient education and outreach; however, generative chatbots such as ChatGPT face challenges, as they can misinform and hallucinate. Health care systems are increasingly interested in using these tools for patient education, access to care, and self-management, but need reassurances that AI systems can be secure and credible.</p><p><strong>Objective: </strong>This study aimed to build a secure system that people can use to send SMS with questions about substance use, and which can be used to screen for substance use disorder (SUD). The system will rely on data transfer via third party vendors and will thus require reliable and trustworthy encryption of protected health information .</p><p><strong>Methods: </strong>We describe the process and specifications for building an AI chatbot that users can access to gain information on and screen for SUD from Be Well Texas, a clinical provider affiliated with the University of Texas Health Sciences Center at San Antonio.</p><p><strong>Results: </strong>The AI chatbot system uses natural language processing and machine learning to classify expert-curated content related to SUD. It illustrates how we can comply with best practices in HIPPA (Health Insurance Portability and Accountability Act) compliance in data encryption for data transfer and data at rest, while still offering a state-of-the-art system that uses dynamic, user-driven conversation to dialogue about SUD, screen for SUD and access SUD treatment services.</p><p><strong>Conclusions: </strong>Recent calls for attention to user-friendly design concerning user rights that honor digital rights and regulations for digital substance use offerings suggest that this study is timely and appropriate while still advancing the field of AI.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e69144"},"PeriodicalIF":2.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12077853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144062730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review.","authors":"Ali Azadi, Francisco José García-Peñalvo","doi":"10.2196/69333","DOIUrl":"10.2196/69333","url":null,"abstract":"<p><strong>Background: </strong>Clinical decision support systems (CDSSs) play a pivotal role in health care by enhancing clinical decision-making processes. These systems represent a significant advancement in medical information systems. However, optimizing their effectiveness requires accounting for various human-computer interaction (HCI) elements that influence their functionality and user acceptance.</p><p><strong>Objective: </strong>This study aimed to identify and categorize key HCI elements that impact CDSS performance to enhance system usability, adaptability, and decision-making accuracy.</p><p><strong>Methods: </strong>We conducted a systematic literature review, identifying 923 studies from the databases PubMed, Scopus, and Web of Science. Papers were screened and selected based on predefined inclusion criteria. A rigorous quality assessment process was applied to ensure the relevance and reliability of the included studies. Ultimately, of the 923 papers identified, 43 (4.7%) that specifically addressed HCI elements applicable to CDSS environments were included in the final analysis. Data extraction and synthesis were performed to answer the research questions regarding HCI elements.</p><p><strong>Results: </strong>A total of 12 distinct HCI elements were identified, each with the potential to influence CDSS functionality. These elements align with the International Organization for Standardization (ISO) 9241-11 framework, which defines usability in terms of effectiveness, efficiency, and satisfaction. \"User satisfaction,\" \"flexibility,\" and \"individuality\" enhance satisfaction by improving system adaptability and user acceptance. \"Visibility,\" \"explainability,\" and \"user control\" strengthen effectiveness by supporting decision-making and error prevention. \"Ease of use\" improves efficiency by streamlining interactions and reducing cognitive load. Some elements influence effectiveness and efficiency, such as \"data entry,\" which ensures structured inputs for decision accuracy while optimizing workflows. Likewise, \"alerts\" provide timely information for effective decision-making and, simultaneously, are designed to avoid overwhelming users and maintain system efficiency. \"Simplification\" and \"mental effort\" also optimize workflows and reduce complexity. Furthermore, \"interface\" impacts effectiveness and efficiency by supporting accurate decision-making and streamlining user interaction. This categorization, aligned with ISO 9241-11, underscores the context and task dependency of usability, highlighting that HCI elements must be adapted to different user needs and environments for effective clinical decision-making.</p><p><strong>Conclusions: </strong>This study addresses a critical gap in CDSS research by offering a comprehensive framework of HCI elements tailored to the CDSS environment. Incorporating these elements into system design can improve user satisfaction, reduce data errors, and enhance the accuracy of medical decisions. The ","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e69333"},"PeriodicalIF":2.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12093079/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maryam Almashmoum, James Cunningham, John Ainsworth
{"title":"Knowledge Sharing Maturity Model for Medical Imaging Departments: Development Study.","authors":"Maryam Almashmoum, James Cunningham, John Ainsworth","doi":"10.2196/54484","DOIUrl":"10.2196/54484","url":null,"abstract":"<p><strong>Background: </strong>Knowledge sharing in medical imaging departments is driven by the need to improve health care services, develop health care professionals' skills, and reduce repetitive mistakes. It is considered an important step in the implementation of knowledge management solutions. By following a maturity model of knowledge sharing, knowledge-sharing practices can be improved.</p><p><strong>Objective: </strong>This study aimed to develop a maturity model for knowledge sharing in the medical imaging department to help managers to assess the level of maturity of knowledge-sharing practices. In modern health care institutions, improvements in health care professionals' skills and health care services are often driven through practicing knowledge-sharing behaviors. Managers can follow the indicators of maturity model of knowledge sharing and its measurements to identify the current level and move to the next level.</p><p><strong>Methods: </strong>This study was conducted in 4 stages: an overview stage that highlighted the factors that affect knowledge-sharing practices in medical imaging departments; an analysis factor stage that was designed to assess the factors that affect knowledge sharing using a concurrent mixed methods approach (questionnaires and semistructured interviews) in 2 medical imaging departments; a structuring maturity model knowledge sharing stage, where a maturity model of knowledge sharing was developed based on the findings of the first and second stages; and finally, an assessment of reliability and validity stage, where a modified Delphi method was used to obtain consensus among experts on model components to be ready for implantation.</p><p><strong>Results: </strong>The model presented in this study includes 17 indicators, divided into 11 components. Those components were derived from the findings of the questionnaires and semistructured interviews that were applied in the medical imaging departments. It consisted of 5 maturity levels: initial, aware, defined, managed, and optimized. In each level, measurements were included to help managers assess the current level by answering the questions. On the basis of reliability, the experts reached a consensus agreement on the model's components in 2 rounds with SD <1.</p><p><strong>Conclusions: </strong>This maturity model of knowledge sharing in medical imaging departments allows managers and policy makers to measure the maturity level of knowledge sharing in those departments. Although the model has been applied to medical imaging departments, it could easily be modified for application in other institutions.</p>","PeriodicalId":36351,"journal":{"name":"JMIR Human Factors","volume":"12 ","pages":"e54484"},"PeriodicalIF":2.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12093077/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144038528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}