Patient Education and Counseling, Год журнала: 2025, Номер unknown, С. 108746 - 108746
Опубликована: Март 1, 2025
Язык: Английский
JMIR Research Protocols, Год журнала: 2024, Номер 13, С. e57238 - e57238
Опубликована: Март 4, 2024
Background Pediatric rheumatology is a term that encompasses over 80 conditions affecting different organs and systems. Children young people with rheumatological chronic are known to have high levels of mental health problems therefore at risk poor outcomes. Clinical psychologists can help children manage the daily difficulties living one these conditions; however, there insufficient pediatric in United Kingdom. We urgently need consider other ways providing early, essential support improve their current well-being. One way doing this empower parents caregivers more answers them further between hospital appointments. Objective The objective co-designed proof-of-concept study design, develop, test chatbot intervention conditions. Methods This will explore needs views conditions, siblings, parents, caregivers, as well care professionals working rheumatology. ask approximately 100 participants focus groups where they think gaps clinical what ideas for improving upon them. Creative experience-based co-design workshops then decide top priorities develop while informing appearance, functionality, practical delivery intervention. Upon completion minimum viable product, user-test an iterative sprint methodology determine its worth mechanism parents. Results A total 73 children, people, so far been enrolled study, which began November 2023. anticipated date April 2026. data analysis expected be completed January 2026, results being published Conclusions provide evidence on accessibility, acceptability, usability If proven useful, it could lead future efficacy trial first interventions targeted user-suggested services. unique detail wants given families It conducted across whole Kingdom all stages disease trajectory. International Registered Report Identifier (IRRID) DERR1-10.2196/57238
Язык: Английский
Процитировано
3
Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e48914 - e48914
Опубликована: Ноя. 27, 2024
Background Hereditary breast and ovarian cancer (HBOC) is a major type of hereditary cancer. Establishing effective screening to identify high-risk individuals for HBOC remains challenge. We developed prototype chatbot system that uses artificial intelligence (AI) preliminary determine whether meet the National Comprehensive Cancer Network BRCA1/2 testing criteria. Objective This study’s objective was validate feasibility this in clinical setting by using it on patient population visited hospital. Methods validated medical accuracy performing test patients who consecutively Kanagawa Center. The participants completed preoperation questionnaire understand their background, including information technology literacy. After operation, qualitative interviews were conducted collect data usability acceptability examine points needing improvement. Results A total 11 enrolled between October December 2020. All women, among them, 10 (91%) had According questionnaire, 6 (54%) never heard chatbot, while 7 (64%) used one. able complete average time required operation 18.0 (SD 5.44) minutes. determinations met criteria based family history consistent with those certified genetic counselors (CGCs). compared histories obtained from CGCs chatbot. Of participants, 3 (27%) entered different CGCs. These discrepancies caused participant’s omissions or communication errors Regarding histories, provided new complemented members 5 (45%) not interviewed could obtain some due several reasons, such as being outside scope chatbot’s interview questions, omissions, Interview classified into following: (1) features, (2) appearance, (3) preferences, (4) concerns, (5) benefits, (6) implementation. Favorable comments implementation improvements also obtained. Conclusions study demonstrated an AI feasible real patients.
Язык: Английский
Процитировано
3
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 309 - 316
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Translational Behavioral Medicine, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 1, 2025
To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) behavioral interventions in cancer prevention/control and substance use. Eight databases were searched from 2017 to 2022 using the Population Intervention Control Outcome Study (PICOS) framework. We synthesized findings of AIMC-based for adult populations or use, applying SIGN Methodology Checklist 2 quality assessments reviewing retention engagement. Initial screening identified 187 studies; seven met inclusion criteria, involving 2768 participants. Females comprised 67.6% (n = 1870). Mean participant age was 42.73 years (SD 7.00). Five studies demonstrated significant improvements use recovery, physical activity, genetic testing, dietary habits. AIMC shows promise enhancing health behaviors, but further exploration is needed privacy risks, biases, safety concerns, chatbot features, serving underserved populations. There critical need foster comprehensive fully powered collaborations between technology developers, healthcare providers, researchers. Policymakers can facilitate responsible integration technologies into systems, ensuring equitable access maximizing their impact public outcomes.
Язык: Английский
Процитировано
0
Patient Education and Counseling, Год журнала: 2025, Номер unknown, С. 108746 - 108746
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0