Studies in health technology and informatics最新文献

{"title":"Implementing PyautoGUI for Enhanced Heart Team Protocol Creation: Improving Efficiency in Cardiovascular Patient Management.","authors":"Roberto Fernandes Branco, Diego Fernandes Branco, Isabel Mattig, Julia Lueg, Gina Barzen, Nanike Bühring, Sven Bischoff, Stefan Hegselmann, Simon Sündermann, Anna Brand, Gerhard Hindricks, Henryk Dreger, Sebastian Spethmann","doi":"10.3233/SHTI250073","DOIUrl":"https://doi.org/10.3233/SHTI250073","url":null,"abstract":"<p><strong>Introduction: </strong>The integration of the \"heart team\" (HT) concept has become essential in managing complex cardiovascular diseases,. Initially, decisions on CAD treatment were predominantly made by cardiologists or cardiac surgeons. However, the increasing complexity of patient data and the publication of milestone studies underscored the need for an interdisciplinary approach. The HT approach, which first gained traction in Dutch hospitals in the late 1990s, has since been endorsed by European guidelines, highlighting its importance in patient management. Conversely, managing the increasing number of multimorbid patients and the complexity of cardiovascular diagnostics has become challenging.</p><p><strong>Methods: </strong>We have designed a standardized protocol including all necessary data for risk assessment and social medicine considerations. This protocol, while comprehensive, has become increasingly cumbersome, prompting the need for automation. We have implemented an automated script using PyautoGUI, a Python library for GUI automation, to enhance efficiency. We conducted a timed comparison of data entry efficiency between this automated software program and an experienced human operator. Each participant entered all required data elements, and the total completion times were recorded. Comparative analysis of the two methods was performed using a two-sample Student's t-test, under the assumption of normally distributed means. Statistical analyses were conducted using SPSS software, version 30.0.0.</p><p><strong>Results: </strong>This script automates data entry from referring departments into our standardized heart team protocol operating via screen coordinates. The automated data entry script demonstrated a statistically significant improvement in data collection efficiency compared to manual entry, with a p-value of 0.049. This suggests that the automated approach may provide meaningful time savings in standardized protocol completion.</p><p><strong>Discussion: </strong>Our automation means a crucial step in managing the increasing number of multimorbid patients and the complex therapeutic approaches. Although not fully integrated into the KIS, our approach adheres to ethical standards and provides a foundation for future advancements.</p><p><strong>Conclusion: </strong>This automated script allows physicians to focus on quality control and decision-making, without the burden of manual data entry. Continuous validation and optimization are essential to fully realize the benefits of automation in clinical practice, enhancing patient care and outcomes while maintaining data protection.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"179-183"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813366","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}

{"title":"Digital Health for Tracking Long-Covid Symptoms with Data Insights from Mobile App Questionnaires and Wearable Devices.","authors":"Ioannis Bilionis, Silvia Quer Palomas, Josep Vidal-Alaball","doi":"10.3233/SHTI250127","DOIUrl":"https://doi.org/10.3233/SHTI250127","url":null,"abstract":"<p><p>With the ongoing mutations of COVID-19 leaving many survivors with debilitating symptoms known as Long-Covid, countless individuals are struggling with persistent fatigue, cognitive impairments, and respiratory issues that can last for months or even years, profoundly disrupting their daily lives and rendering them unable to return to work or engage in social activities. Thus, this paper develops a comprehensive methodology that integrates wearable biometric data and patient-reported outcomes to enhance the monitoring and management of Long-Covid symptoms, desgined to support patient care and quality of life. The methodology involved collecting biometric data from wearable devices and psychometric assessments through mobile app questionnaires, and modeling them using mixed linear regression. Results indicated that variations in heart rate and physical activity levels were significant predictors of fatigue, stress, and pain, with lower morning activity linked to increased anxiety and pain. Additionally, participant feedback highlighted the mobile app's user-friendliness and effectiveness in tracking symptoms. Integrating wearable technology with psychological assessments in clinical practice can facilitate accurate symptom tracking and personalized interventions for individuals suffering from Long-Covid, ultimately improving patient outcomes and overall health management.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"434-438"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813303","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}

{"title":"The Evolving Landscape of Primary Healthcare: Exploring AI Readiness of the Dutch General Practitioners.","authors":"Zehraa Al-Bikkalli, Rudy Douven, Iris Wallenburg, Habibollah Pirnejad","doi":"10.3233/SHTI250042","DOIUrl":"https://doi.org/10.3233/SHTI250042","url":null,"abstract":"<p><p>This study explores the readiness of Dutch general practitioners (GPs) to adopt artificial intelligence (AI) technologies in primary healthcare (PHC) using an expanded Technology Acceptance Model (TAM). The model assesses perceived usefulness (PU), perceived ease of use (PEU), and perceived societal impact (PSI) of AI. A self-administered online questionnaire gathered responses from 224 GPs regarding their demographics, AI knowledge, and perceptions of AI in PHC. Significant relationships were found between PU and \"intention to use AI\", as well as between \"intention to use\" and \"actual use\". Knowledge about AI was significantly correlated with PU. However, no significant relationships were found between PEU and \"intention to use\" and between PSI and \"intention to use\". Age, gender, and years of experience had significant relation with PU, with younger age, male gender reporting higher PU. Overall, the study highlights that Dutch GPs, particularly younger GPs are ready to adopt AI-based technologies.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"31-35"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813311","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}

{"title":"ePrescription Datasets for Medication Management Digital Tools.","authors":"Lusine Zhamharyan, Tsaghkanush Sargsyan, Ruzanna Movsesyan, Gohar Yerimyan, Armine Lulejian","doi":"10.3233/SHTI250089","DOIUrl":"https://doi.org/10.3233/SHTI250089","url":null,"abstract":"<p><p>Medication datasets being accurately exchanged throughout the digital tool is critical for functionality of ePrescription systems, which are considered as key components and drivers of digital health. e-Prescription systems testing shall be in place to ensure patient safety, data integrity, and confidentiality requirements.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"253-254"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813317","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}

{"title":"Assessing Family Caregivers' Needs for a Digital Intervention to Support Families Affected by Schizophrenia.","authors":"Ana R Conde-Moro, Silvia Quer-Palomas, Ricardo C Berrios, Luis Fernandez-Luque, Rafael Subirán, María José Moreno-Jiménez","doi":"10.3233/SHTI250080","DOIUrl":"https://doi.org/10.3233/SHTI250080","url":null,"abstract":"<p><p>Family caregivers of individuals with schizophrenia face significant physical, emotional, and financial challenges, often sacrificing self-care and careers, particularly in low-middle-income families. Despite the benefits of family interventions, barriers like stigma and limited access persist. Mobile health (mHealth) offers a promising alternative by providing tailored psychosocial support, though long-term engagement is challenging. This study aims to understand caregiver's needs to develop a user-centered digital intervention. Participatory workshops with caregivers, individuals with schizophrenia, and healthcare professionals revealed key issues, including the need for evidence-based education and emotional support. Caregivers reported confusion, loneliness, and stress, especially in the initial stages. The proposed digital solution, which integrates educational content and self-care activities, was well-received. Participants valued educational units on understanding schizophrenia and improving communication with the person receiving care and healthcare providers. They suggested including education on legal aspects and economic aid for families, along with connections to local activities and support groups.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"211-215"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813331","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}

{"title":"Assessing the Readiness of European Healthcare Institutions for EU AI Act Compliance.","authors":"Konstantinos Kalodanis, Georgios Feretzakis, Panagiotis Rizomiliotis, Vassilios S Verykios, Charalampos Papapavlou, Apostolos Skrekas, Dimosthenis Anagnostopoulos","doi":"10.3233/SHTI250047","DOIUrl":"https://doi.org/10.3233/SHTI250047","url":null,"abstract":"<p><p>The European Union's Artificial Intelligence Act (EU AI Act) proposes a comprehensive regulatory framework for rtificial ntelligence (AI), emphasizing transparency, accountability, and ethical considerations, particularly in high-risk sectors like healthcare. This study assesses the readiness of European healthcare institutions for compliance with the EU AI Act. Using a systematic analysis of news articles and publications, we examine the current discourse on AI governance, compliance challenges, and implementation strategies within the European healthcare context. Our study findings indicate a big gap between AI adoption and compliance preparedness; hence, healthcare institutions should have increased awareness and strategic planning.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"50-54"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813334","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}

{"title":"Validation of MUISCA: A MDE-Based Tool for Interoperability of Healthcare Environments Using Smart Contracts in Blockchain.","authors":"Edgar Dulce-Villarreal, Giovanni Hernandez, Jesus Insuasti, Julio Hurtado, Jose Garcia-Alonso","doi":"10.3233/SHTI250090","DOIUrl":"https://doi.org/10.3233/SHTI250090","url":null,"abstract":"<p><p>The exchange of medical information significantly benefits people's quality of life, improving their care and treatment. The interoperability of the entire healthcare ecosystem is a constant challenge. Blockchain technology is an alternative to find a balance in the healthcare ecosystem. Smart contracts (SC) are decentralized and self-executing programs that allow the automation of agreements without intermediaries to improve operational efficiency. However, the constant development of new Blockchain technologies and programming languages for smart contracts is a growing problem. This work presents the validation by expert judgment of the MUISCA (Mechanism for UnIversal SmartContrAct) tool, which uses Model Driven Engineering (MDE). MUISCA uses transformations of models and models to text to generate smart contracts in healthcare environments and specific to Blockchain platforms. The validation is conducted by smart contracts development experts, who show positivity in the perceived usefulness.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"255-259"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813349","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}

{"title":"The Ecological Footprint of Gynecology: Lessons from Dutch Hospitals and Implications for Future Healthcare Management.","authors":"Nancy Dsouza, Eva Cohen, Hans Ossebaard, Hannah van Meurs, Marieke Sijm-Eeken","doi":"10.3233/SHTI250125","DOIUrl":"https://doi.org/10.3233/SHTI250125","url":null,"abstract":"<p><p>In 2023, global temperatures reached record-breaking highs, highlighting the urgent need for climate action. Healthcare is responsible for 4-8% of global carbon emissions, contributing to global warming and impacting the health of billions of people. Within healthcare, gynecology has a significant ecological footprint due to its high volume and broad range of care services. However, little is known on how gynecology departments' management structures, information systems and processes can be optimized to reduce the ecological footprint of this specialty. Therefore, a sustainability maturity model based on Donabedian's structure-process-outcome model for quality improvement was used to assess sustainability performance in two gynecology practices with different organizational structures (centralized vs. decentralized). Maturity model scores and interview findings were analyzed to extract lessons and recommendations for optimizing sustainability within gynecology. As the first assessment of its kind, this study provides a foundation for healthcare management seeking to improve environmental performance in gynecological care.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"424-428"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813102","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}

{"title":"Sensor-Based Monitoring of Hand Hygiene in Hospitals: Strengths and Weaknesses of an IoT-Based System.","authors":"Silvan Hostettler, Dana Engel, Murat Sariyar","doi":"10.3233/SHTI250102","DOIUrl":"https://doi.org/10.3233/SHTI250102","url":null,"abstract":"<p><p>Hand hygiene is a critical aspect of patient safety in hospitals. To assess adherence to hand hygiene protocols, a sensor-based system has been developed that monitors the movements of healthcare professionals using Bluetooth technology. This system comprises a Data Collection Node (DCN) and several Bluetooth beacons strategically installed within the monitored department. Results from a study conducted at the Eastern Switzerland Children's Hospital indicate that while the system is capable of generating movement profiles, it fails to provide reliable adherence profiles for hand hygiene. It is essential to develop more precise technologies, which may be more costly than the Bluetooth beacon technology currently employed. Nevertheless, this project highlights potential avenues for enhancing hospital hygiene practices through digital monitoring and support.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"312-316"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813117","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}

{"title":"Impact of Mixed Reality (MR) Technologies on Nursing Education: A Systematic Review.","authors":"Konstantinos Evgenikos, Emmanouil Zoulias, Joseph Liaskos, Flora Malamateniou","doi":"10.3233/SHTI250122","DOIUrl":"https://doi.org/10.3233/SHTI250122","url":null,"abstract":"<p><strong>Background: </strong>Nursing education dynamics have changed over time and currently demand novel approaches to befit the current intricacies of contemporary healthcare systems. Mixed Reality technologies, including Virtual Reality (VR) and Augmented Reality (AR), provide for an experiential learning immersion and may contribute toward the proper delivery of nursing education.</p><p><strong>Objectives: </strong>To evaluate the effect of MR technologies on nursing education concerning knowledge acquisition and skill development and student satisfaction in terms of traditional training methods.</p><p><strong>Methods: </strong>A systematic literature review of peer-reviewed empirical studies published within the last ten years was carried out by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed, Web of Science, and Scopus databases were screened up to February 2024. Included studies involved nursing students or professionals in educational settings utilizing MR technologies compared to traditional methods.</p><p><strong>Results: </strong>The search identified 91 studies and we concluded in eight studies that met the inclusion criteria. Overall, the use of MR technologies can enhance learning and clinical skills and student satisfaction. Although, the areas for further investigation are long-term retention of the skill and cost-effectiveness of MR implementation.</p><p><strong>Conclusion: </strong>These MR technologies hold promise for transforming nursing education by providing realistic, immersive learning environments. While these offers great potential, detailed consideration with further research is required to address implementation challenges and optimize their use within nursing curricula.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"409-413"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813364","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}