Informatics for health & social care最新文献_第5页

Fuzzy logic applications in chronic disease in decision-making: a comprehensive healthcare review. 模糊逻辑在慢性病决策中的应用：综合医疗综述。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1080/17538157.2025.2596948

Sunny Thukral, Amardeep Gupta

{"title":"Fuzzy logic applications in chronic disease in decision-making: a comprehensive healthcare review.","authors":"Sunny Thukral, Amardeep Gupta","doi":"10.1080/17538157.2025.2596948","DOIUrl":"10.1080/17538157.2025.2596948","url":null,"abstract":"Diagnosis as the initial step in medical practice is one of the most significant aspects of complex clinical decision making which is convoyed by some degree of uncertainty and perplexity. With massive volumes of medical data being collected, there is an urgent need to proficiently use this healthcare data throughout the globe. Among several computational conventions, fuzzy logic conveys an appealing way to control the imprecision and uncertainty in medical data. This article includes a systematic literature review for the investigation of fuzzy logic processes utilized in a variety of medical applications which has recently been published in highly reputed journals. Using PRISMA guidelines, a total of 25 studies selected from an initial pool of 340 recognized records. This review article discusses the role of fuzzy systems in the diagnosis of a variety of diseases including breast cancer, diabetes disease, cardiovascular disease, skin cancer, coronary artery disease, brain and tumor detection, chronic liver disease, fibrosis disease, brain disease, pulmonary and asthmatic disease, diabetes mellitus, musculoskeletal disorders, hypovolaemia disease, pancreatic cancer detection, thyroid, thalassemia disease, etc. Overall, this systematic review provides a suitable foundation for future study by highlighting research requirements in the field of disease diagnostics.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"122-138"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145764931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SmartWear: real-time Edge AI for personalized health monitoring in chronic disease management. 智能穿戴：用于慢性疾病管理中个性化健康监测的实时边缘人工智能。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1080/17538157.2025.2610688

Soha Rawas, Agariadne Dwinggo Samala, Santiago Criollo-C

{"title":"SmartWear: real-time Edge AI for personalized health monitoring in chronic disease management.","authors":"Soha Rawas, Agariadne Dwinggo Samala, Santiago Criollo-C","doi":"10.1080/17538157.2025.2610688","DOIUrl":"10.1080/17538157.2025.2610688","url":null,"abstract":"The prevalence of chronic diseases necessitates continuous health monitoring and personalized management strategies to optimize patient outcomes. Traditional healthcare approaches, reliant on periodic assessments, often fail to provide the real-time insights needed for effective chronic disease management. This research introduces SmartWear, an innovative system integrating Edge AI with wearable health monitors to address this critical gap. SmartWear employs advanced, lightweight AI algorithms deployed directly on wearable devices, enabling real-time data analysis and personalized health recommendations. By processing data locally, SmartWear minimizes latency and enhances data privacy, thereby addressing the challenges of bandwidth consumption and sensitive information transmission. The primary objectives of this research are to develop efficient Edge AI models tailored for wearable devices, create adaptive health intervention systems, and ensure robust data security through on-device processing and federated learning. The focus is specifically on chronic conditions such as hypertension, diabetes, and chronic obstructive pulmonary disease (COPD), where continuous monitoring can significantly impact patient care. This study promises to advance the field of IoMT by offering a practical, scalable solution for real-time health monitoring and personalized care. The anticipated contributions include the introduction of novel AI techniques optimized for edge computing, the implementation of a user-friendly system that supports proactive health management, and the enhancement of patient outcomes through timely, personalized interventions. SmartWear represents a significant step forward in leveraging Edge AI to revolutionize chronic disease management and personalized healthcare.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"169-184"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145914503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IoT-Enabled healthcare ecosystems: innovations in remote monitoring, patient outcomes, and digital transformation. 支持物联网的医疗保健生态系统：远程监控、患者结果和数字化转型方面的创新。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-06 DOI: 10.1080/17538157.2025.2605557

Shankul Kumar, Vedant Kumar Prajapati, Shashi Ranjan Singh, Arvind Kumar Patel, Pushpraj Singh, Manish Singh

{"title":"IoT-Enabled healthcare ecosystems: innovations in remote monitoring, patient outcomes, and digital transformation.","authors":"Shankul Kumar, Vedant Kumar Prajapati, Shashi Ranjan Singh, Arvind Kumar Patel, Pushpraj Singh, Manish Singh","doi":"10.1080/17538157.2025.2605557","DOIUrl":"10.1080/17538157.2025.2605557","url":null,"abstract":"The monitoring, diagnosis, and treatment of patients has been completely transformed by the Internet of Things (IoT) in healthcare, especially in underprivileged and distant locations. IoT-enabled remote patient monitoring (RPM) makes it possible to gather and transmit health data like heart rate, glucose levels, and blood pressure in real-time, facilitating proactive and individualized care. IoT-enabled smart wearable devices like smartwatches, ECG patches, and fitness bands track physical activity and health parameters provide real-time data to clinicians via mobile apps or cloud servers and empower patients with self-monitoring tools. IoT-enabled RFID tags to locate critical medical equipment (e.g. ventilators, infusion pumps) enhances operational efficiency and reduces loss or theft and assists in hospital inventory and supply chain management. IoT devices facilitate real-time consultation with physicians using health data from patients and bridges the healthcare gap in rural and underserved areas. With a focus on RPM systems, Smart Wearables and RFID tags this chapter examines the architecture, technology, uses, and advantages of IoT in healthcare. The difficulties with interoperability, system integration, security, and data privacy are also covered. IoT has the revolutionary potential to improve healthcare outcomes, lower readmission rates to hospitals, and improve the quality of life for patients with chronic illnesses, as demonstrated by case studies and recent advances.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"202-225"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145914419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating artificial intelligence in physical therapy: a quasi-experimental study comparing conventional treatment with a hybrid intervention using telerehabilitation for workers with whiplash syndrome. 将人工智能整合到物理治疗中：一项准实验研究，比较传统治疗与使用远程康复的混合干预，用于鞭打综合征的工人。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-12-15 DOI: 10.1080/17538157.2025.2595029

Mònica Rodríguez-Bagó, José Miguel Martínez-Martínez, Juan Carlos González González, Maite Sampere-Valero, Elena Ronda-Pérez

{"title":"Integrating artificial intelligence in physical therapy: a quasi-experimental study comparing conventional treatment with a hybrid intervention using telerehabilitation for workers with whiplash syndrome.","authors":"Mònica Rodríguez-Bagó, José Miguel Martínez-Martínez, Juan Carlos González González, Maite Sampere-Valero, Elena Ronda-Pérez","doi":"10.1080/17538157.2025.2595029","DOIUrl":"10.1080/17538157.2025.2595029","url":null,"abstract":"Introduction: AI-assisted telerehabilitation enables remote assessment and monitoring of patient movement, improving access to treatment while reducing costs. This study aimed to compare conventional center-based physical therapy with a hybrid intervention that combines face-to-face physiotherapy and AI-supervised telerehabilitation in workers affected by cervical whiplash syndrome.Methods: The study population comprised workers aged 16 to 65 years requiring physical therapy for cervical whiplash syndrome (ICD-10 S13.4XXA). The primary outcome was the number of face-to-face sessions, while sickness absence duration was also analyzed. The sample included 15 patients in the telerehabilitation group and 28 in the conventional treatment group. The intervention included AI-supervised therapeutic exercises on days when patients received treatment at home, whereas on days they attended the rehabilitation center, they received the same standard treatment as the control group.Results: The median number of face-to-face sessions was significantly lower in the telerehabilitation group (6 vs. 9), with differences remaining significant after adjustment. The duration of sickness absence was not longer in the telerehabilitation group (18 vs. 21 days).Conclusion: Reducing the number of face-to-face sessions through AI-assisted telerehabilitation optimizes physiotherapy resource utilization without prolonging sickness absence, thereby enhancing healthcare efficiency.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"85-98"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145764937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multimodal journaling as engagement tool for parents of premature babies. 多模式日记作为早产儿父母的参与工具。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1080/17538157.2025.2585308

Péter Pál Boda, Akos Vetek

{"title":"Multimodal journaling as engagement tool for parents of premature babies.","authors":"Péter Pál Boda, Akos Vetek","doi":"10.1080/17538157.2025.2585308","DOIUrl":"10.1080/17538157.2025.2585308","url":null,"abstract":"Parents of premature babies face extreme psychological challenges when a child is born too early - a situation for which no parents can be prepared. Parental engagement solutions, such as logging the baby's progress, can alleviate this stress by fostering a comforting feeling of involvement in the care and a clearer understanding of the overall situation. This paper presents a multimodal journaling prototype designed specifically for parents of premature babies in the Neonatal Intensive Care Unit (NICU). The general goal was to test its feasibility and applicability as an engagement tool, while the specific goal was to evaluate user interaction methods from both technical performance and usability perspectives. The implementation, built around a multimodal integration module, demonstrated high technical performance, yielding greater than 95% accuracy. However, usability evaluation revealed a significant finding: observed interaction patterns showed a substantially larger proportion of speech-only interaction compared to the intended multimodal combination of speech and gesture. To fully realize the benefits of a multimodal approach for parental engagement, and more broadly for patient engagement in digital health, further research is imperative. This work must focus on refining the interaction design to better align with the lived parental experience and seamlessly support natural multimodal usage.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"29-48"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145598284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Developing an ageing adaptable emotional virtual human: an AI-based approach. 开发一个衰老适应性强的情感虚拟人：基于人工智能的方法。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-07 DOI: 10.1080/17538157.2025.2611135

Yuyuan Peng

{"title":"Developing an ageing adaptable emotional virtual human: an AI-based approach.","authors":"Yuyuan Peng","doi":"10.1080/17538157.2025.2611135","DOIUrl":"10.1080/17538157.2025.2611135","url":null,"abstract":"The research aims to explore the theoretical aspects of using a virtual digital person as an emotional companion and to reveal the possibilities offered by the synthesis of design, AI, computer science, and modern technologies. Analytical methods, machine learning, and neural networks were used. The results of the study showed that the use of AI has great potential for creating a virtual person adapted to aging. The virtual digital person developed with the help of AI was specially adapted to the unique needs and requirements of the elderly. It provided not only emotional support but also served as an information resource, helping to monitor medical conditions, remind them to take medications and provide advice on activity and health care. It has been found that the creation of a virtual digital person as an emotional companion is an important step in expanding the possibilities of interaction between people and technology, in particular in the context of the growing age of the population and the need for support. The possibility of using the results obtained in practical activities will allow the use of AI to develop new methods for creating a virtual digital person.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"393-403"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145936869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI chatbots in the PICU: parental enthusiasm contrasts with socioeconomic usage disparities. PICU中的人工智能聊天机器人：父母的热情与社会经济使用差异的对比。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1080/17538157.2025.2589195

R Brandon Hunter, Sriya Kakarla, Sreya Rahman, Shelley Kumar, Sanjiv Mehta

{"title":"AI chatbots in the PICU: parental enthusiasm contrasts with socioeconomic usage disparities.","authors":"R Brandon Hunter, Sriya Kakarla, Sreya Rahman, Shelley Kumar, Sanjiv Mehta","doi":"10.1080/17538157.2025.2589195","DOIUrl":"10.1080/17538157.2025.2589195","url":null,"abstract":"Parents of children admitted to the PICU face an overwhelming informational landscape, necessitating accessible, patient-specific information. Large Language Models (LLMs) powering AI chatbots offer a promising solution for simplifying complex medical information. We aimed to characterize parental online health information-seeking (OHIS) behaviors and attitudes toward AI chatbots by conducting a cross-sectional survey of 139 English-speaking parents of children admitted to a large academic PICU between April-August 2024. We assessed OHIS behaviors, knowledge of and experience with AI chatbots, and attitudes regarding their potential healthcare utility. Most parents (87%) engaged in OHIS using search engines (86%). Parents with higher income and education sought information more frequently (OR 3.3, 95% CI 1.8-6.2; OR 2.9, 95% CI 1.5-5.7, respectively); those with higher education were less satisfied with online resources (OR 0.5, 95% CI 0.25-0.97). Parents expressed openness toward AI chatbots in healthcare applications (median 4/6). Significant socioeconomic disparities in current AI chatbot use favored male (OR 2.5, 95% CI 1.1-6.0) and higher income (OR 3.8, 95% CI 1.1-12.7) parents. Parents of critically ill children show high OHIS behaviors and positive attitudes toward AI chatbots. Addressing significant socioeconomic disparities in AI chatbot use is crucial for developing equitable implementation strategies in the PICU.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"62-70"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145590416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving voriconazole therapeutic drug monitoring-guided dosing through a clinical decision support system: enhancing antifungal stewardship. 通过临床决策支持系统改进伏立康唑治疗药物监测引导剂量：加强抗真菌管理。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI: 10.1080/17538157.2026.2624688

Marwa Mohamed Ibrahim, Amr Kashef, Amr Elnashar, Eslam Shafiq, Lobna Shalaby, Mohamed Nagy

{"title":"Improving voriconazole therapeutic drug monitoring-guided dosing through a clinical decision support system: enhancing antifungal stewardship.","authors":"Marwa Mohamed Ibrahim, Amr Kashef, Amr Elnashar, Eslam Shafiq, Lobna Shalaby, Mohamed Nagy","doi":"10.1080/17538157.2026.2624688","DOIUrl":"10.1080/17538157.2026.2624688","url":null,"abstract":"Voriconazole (VCZ) is a first-line antifungal agent for treating invasive fungal infections. However, due to its narrow therapeutic index and high pharmacokinetic variability, standard dosing can be subtherapeutic or toxic. Therapeutic Drug Monitoring (TDM) is recommended to optimize VCZ therapy. To enhance TDM based dosing, we implemented a Clinical Decision Support System (CDSS) integrated into our electronic health record (EHR) that generates alerts at VCZ prescribing and dispensing points. These alerts display the most recent TDM result and interpretation and include an option to request a new TDM order. The study comprised three phases: pre-implementation, transitional, and post-implementation. We reviewed VCZ orders extracted from the EHR, analyzing a total of 2199 orders with recent TDM results. Physician compliance with TDM-guided dosing notably increased from 52.2% in the pre-implementation period to 94.7% post-implementation (p < .05). Pharmacist compliance also rose from 90.5% to 95.6% during the same timeframe (p < .05). The CDSS also supported more patients reaching therapeutic levels and reduced prescriptions for extreme doses. Integrating TDM recommendations into a CDSS significantly improved adherence by physicians and pharmacists to TDM-guided VCZ dosing. This approach highlights the value of health information systems in optimizing personalized antifungal therapy and stewardship.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"243-257"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146222583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New digital approach to managing student depression with focus on early detection through academic Pressure profiling. 管理学生抑郁症的新数字方法，重点是通过学业压力分析早期发现。

IF 2.4

Informatics for health & social care Pub Date : 2026-01-01 Epub Date: 2026-01-05 DOI: 10.1080/17538157.2025.2605558

Anupam Yadav, Muhamed Husseyn, Shreenidhi H S, Abdulqader Faris, Norhisham Mohamad, Mohamed M Al-Hileh, Vishal Thakur, Komali Kalla, Ankur Srivastavaj, Prabhat Kumar Sahu

{"title":"New digital approach to managing student depression with focus on early detection through academic Pressure profiling.","authors":"Anupam Yadav, Muhamed Husseyn, Shreenidhi H S, Abdulqader Faris, Norhisham Mohamad, Mohamed M Al-Hileh, Vishal Thakur, Komali Kalla, Ankur Srivastavaj, Prabhat Kumar Sahu","doi":"10.1080/17538157.2025.2605558","DOIUrl":"10.1080/17538157.2025.2605558","url":null,"abstract":"Managing student mental health remains a growing challenge for educational and healthcare systems, especially as academic pressure increasingly contributes to depressive symptoms. This study introduces a novel digital strategy to support early detection for student depression by analyzing how academic stressors shape mental health outcomes. Using a dataset of 5000 anonymized student records including psychological, behavioral, academic, and demographic indicators this research identifies key drivers of depressive symptoms in real-world educational contexts. Academic pressure emerged as the most influential factor, enabling the creation of a targeted risk profile. To support scalable and practical deployment, predictive models were developed to identify high-risk individuals with a high degree of accuracy (best model accuracy: 0.969). Rather than replacing clinical diagnosis, this approach serves as a decision-support tool for schools, counselors, and digital health systems. By translating complex data into early warnings, this framework enhances the capacity of educational institutions and care providers to proactively respond to mental health risks, reduce screening burdens, and improve access to timely support.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"326-344"},"PeriodicalIF":2.4,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145907445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

User-centred design of a patient portal for persons living with home mechanical ventilation and long-term tracheostomy: a mixed methods study. 以用户为中心，为居家机械通气和长期气管切开术患者设计患者门户网站：一项混合方法研究。

Informatics for health & social care Pub Date : 2025-01-02 DOI: 10.1080/17538157.2024.2441152

Caroline Chao, David J Berlowitz, Olivia Metcalf, Prudence A Gregson, Graeme K Hart, Mark E Howard

{"title":"User-centred design of a patient portal for persons living with home mechanical ventilation and long-term tracheostomy: a mixed methods study.","authors":"Caroline Chao, David J Berlowitz, Olivia Metcalf, Prudence A Gregson, Graeme K Hart, Mark E Howard","doi":"10.1080/17538157.2024.2441152","DOIUrl":"10.1080/17538157.2024.2441152","url":null,"abstract":"Patient portals are secure online platforms that offer patients access to various functions such as personal health information. While patient portals are being increasingly offered by health services, there are limited data on their use for persons living with home mechanical ventilation (HMV) and/or long-term tracheostomy. This study, conducted at an Australian hospital's home mechanical ventilation and long-term tracheostomy services, aimed to explore the perspectives and attitudes of patients and carers regarding the introduction of a patient portal. There were 231 survey responses and 6 semi-structured interview participants. Interest in using a patient portal was high with 87% of survey respondents indicating that they would consider using a patient portal if it were offered. Those that were more likely to be interested were younger, had higher levels of education, and reported being confident with using technology and accessing health information. The functions of a patient portal that were of most interest were the ability to view their own health information including ventilation and/or tracheostomy information and the ability to order ventilation and tracheostomy-related equipment. This study is the first step of a user-centered design for the implementation of a patient portal for persons living with home mechanical ventilation and/or long-term tracheostomy.","PeriodicalId":101409,"journal":{"name":"Informatics for health & social care","volume":" ","pages":"18-32"},"PeriodicalIF":0.0,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142916821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0