Studies in health technology and informatics最新文献_第6页

Adult Proxy Online Record Access - Differences Across Four Countries. 成人代理在线记录访问-跨越四个国家的差异。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251530

Maria Hägglund, Therese Scott Duncan, Josefin Hagström, Sari Kujala, Anna Dudkina, Jonas Moll, Anna Kharko, Monika A Johansen, Charlotte Blease

引用次数: 0

On the Design of a FAIR Data Maturity Model for OneAquaHealth. OneAquaHealth的FAIR数据成熟度模型设计

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251544

Adriano Tramontano, Arriel Benis, Catherine Chronaki, Gora Datta, Anne Moen, Silje Havrevold Henni, Maria João Feio, Oscar Tamburis

引用次数: 0

Development of a Visual Questionnaire for Evaluating Usability in Health Technologies. 一份评估卫生技术可用性的可视化问卷的开发。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251536

Susan J Oudbier, Denise L Rodenburg, Linda W P Peute

引用次数: 0

Evaluation of Clinical AI-Based Diagnostic Solutions - A Multiperspective, Interdisciplinary Approach. 临床人工智能诊断解决方案的评估-多视角，跨学科的方法。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251485

Thomas Karopka, Carina Østervig Byskov, Martin Dyrba

{"title":"Evaluation of Clinical AI-Based Diagnostic Solutions - A Multiperspective, Interdisciplinary Approach.","authors":"Thomas Karopka, Carina Østervig Byskov, Martin Dyrba","doi":"10.3233/SHTI251485","DOIUrl":"https://doi.org/10.3233/SHTI251485","url":null,"abstract":"Introduction: The primary goal of developing new clinical diagnostic solutions is to create value for healthcare. The rapid rise of artificial intelligence (AI)-based diagnostics has led to a surge in publications and, to a lesser extent, market-ready tools. Clinicians must now integrate these innovations to manage increasing data volumes, making it challenging to assess the added value of new tools in the diagnostic workflow.Methods: The INTERREG Baltic Sea Region project \"Clinical Artificial Intelligence-Based Diagnostics (CAIDX)\" developed a comprehensive blueprint guiding the process from identifying clinical needs to implementing certified AI products in diagnostics. The approach emphasizes systematic evaluation at each development stage and throughout the AI solution's lifecycle, incorporating diverse stakeholder perspectives and a range of evaluation methodologies.Results: The CAIDX project produced the \"Clinical AI-Pathway,\" an end-to-end framework for integrating AI-based diagnostic tools. This framework provides methodologies and tools for systematic evaluation at all stages, ensuring alignment with clinical needs and rigorous assessment of value.Conclusions: Systematic, multi-perspective evaluation is crucial for successfully integrating AI diagnostics into clinical practice. The \"Clinical AI-Pathway\" framework offers a structured method for assessing and implementing AI solutions, supporting their value-driven adoption in healthcare. The framework, available at ClinicalAI.eu, aims to facilitate broader and more effective use of AI in clinical diagnostics.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"7-11"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215096","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

Evaluating AI-Powered Q&A Systems: A Simple Approach to Determining the Need for Expert Ratings. 评估人工智能问答系统：确定专家评级需求的简单方法。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251532

Dorian Zwanzig, Luca Kreibich, Uta Binder, Ute Dietrich

引用次数: 0

Implementing a Cost-Efficient and Interoperable Health Data Infrastructure: A Multi-Region Finnish Case Study. 实施具有成本效益和可互操作的卫生数据基础设施：芬兰多区域案例研究。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251507

Sanna Virkkunen, Tuomas Granlund, Risto Kaikkonen

{"title":"Implementing a Cost-Efficient and Interoperable Health Data Infrastructure: A Multi-Region Finnish Case Study.","authors":"Sanna Virkkunen, Tuomas Granlund, Risto Kaikkonen","doi":"10.3233/SHTI251507","DOIUrl":"https://doi.org/10.3233/SHTI251507","url":null,"abstract":"This paper examines a large-scale, collaborative data infrastructure project implemented across three Finnish wellbeing services counties in response to national health reform mandates. Using a qualitative case study approach and the European Interoperability Framework (EIF), this paper analyzes how organizational, political, semantic, and technical interoperability were jointly managed to develop standardized yet distributed data lake solutions. While legislative obligations drove the collaboration, success required close operational coordination, agile methods, and shared technical frameworks. By deploying parallel yet aligned environments, the counties achieved standardized reporting, reduced duplication, and improved cost-efficiency. The case highlights that sustainable digital health reform demands a holistic approach integrating top-down mandates with localized coordination and technical agility, ensuring all EIF dimensions are consistently addressed. Future evaluations should assess the long-term cost-effectiveness, scalability, and governance sustainability of this standardized, distributed model.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"113-117"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215123","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

Evaluating Imputation Techniques for Survival Data Utilizing Kaplan-Meier Curves. 利用Kaplan-Meier曲线评估生存数据的归算技术。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251487

Nina Cassandra Wiegers, Sebastian Germer, Christiane Rudolph, Natalie Rath, Katharina Rausch, Alexander Katalinic, Heinz Handels

{"title":"Evaluating Imputation Techniques for Survival Data Utilizing Kaplan-Meier Curves.","authors":"Nina Cassandra Wiegers, Sebastian Germer, Christiane Rudolph, Natalie Rath, Katharina Rausch, Alexander Katalinic, Heinz Handels","doi":"10.3233/SHTI251487","DOIUrl":"https://doi.org/10.3233/SHTI251487","url":null,"abstract":"Cancer registries collect data about cancer patients, such as information about the tumor histology and progress, but tend to be incomplete in some variables, which complicates further analysis like survival probabilities. Imputation can benefit these analyses. Most imputation methods aim to learn the underlying data distribution of the available data, but often only feature-wise errors are evaluated. In this paper a new approach to evaluate the learned data distribution in case of survival analysis for two state-of-the-art imputation methods is presented. To estimate the survival probability after a cancer diagnosis Kaplan-Meier (KM) curves are used and calculated for survival cohorts. Stratifying the data using the UICC tumor stadium, we aim to evaluate the imputation quality using the comparison of the survival time probability. Two KM curves are calculated for each UICC-stage, while one curve is based on the survival time of the known UICC-stage and the other is computed for the survival times of the imputed UICC-stages. Differences in KM curves will be tested with a log-rank test, a modified Manhattan-Distance and the maximum absolute distance. The best result for all evaluation metrics is achieved for the UICC-stage II, which was imputed with the imputer Miss Forest and aligns well with the qualitative result of the plotted KM curves. Especially for the survival analysis the proposed metrics can help epidemiological researchers to choose an imputation method, which can preserve the trend of the survival probabilities.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"17-21"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215169","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 Garmin Wearable Data into FHIR-Based Health Systems for Improved Interoperability. 将Garmin可穿戴数据集成到基于fhir的医疗系统中，以提高互操作性。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251523

Somayeh Abedian, Eugene Yesakov, Stanislav Ostrovskiy, Rada Hussein

{"title":"Integrating Garmin Wearable Data into FHIR-Based Health Systems for Improved Interoperability.","authors":"Somayeh Abedian, Eugene Yesakov, Stanislav Ostrovskiy, Rada Hussein","doi":"10.3233/SHTI251523","DOIUrl":"https://doi.org/10.3233/SHTI251523","url":null,"abstract":"As wearable technologies become more common in everyday life, integrating Patient-Generated Health Data (PGHD) into clinical systems has emerged as a critical area in digital health. This study explores how data such as heart rate, step count, sleep patterns, and activity levels (captured in this study via the Garmin Vívoactive 4 smartwatch) can be brought into FHIR-based healthcare systems through the Fitrockr platform. We explore how these data align with key Fast Healthcare Interoperability Resources (FHIR), such as Observation, Device, and Patient. Additionally, we evaluate the compatibility of collected datasets by the Modular Open Research Environment (MORE) platform with FHIR and examine the feasibility of transferring these records to FHIR servers. This level of semantic interoperability could simplify the integration of PGHD into hospital information systems or other healthcare information systems and especially EHRs, thus enhancing their contribution to care delivery, especially in medical decision making and as a source for Clinical Decision Support Systems (CDSS). The paper also discusses how standards like FHIR, openEHR, and Observational Medical Outcomes Partnership (OMOP) can work together to ensure consistent, meaningful integration of wearable data for both clinical practice and secondary analysis. In summary, we reflect on the importance of real-time wearable data availability, reliability, and privacy in supporting a more personalized, data-driven healthcare experience.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"185-189"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215090","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

Transforming Rehabilitation: Physiotherapy Students' Expectations on Electronic Health Information Systems and Digital Services. 改造康复：物理治疗学生对电子健康信息系统和数字服务的期望。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251516

Venla Karikumpu, Marja Äijö, Tuulikki Vehko, Ulla-Mari Kinnunen, Virpi Jylhä

{"title":"Transforming Rehabilitation: Physiotherapy Students' Expectations on Electronic Health Information Systems and Digital Services.","authors":"Venla Karikumpu, Marja Äijö, Tuulikki Vehko, Ulla-Mari Kinnunen, Virpi Jylhä","doi":"10.3233/SHTI251516","DOIUrl":"https://doi.org/10.3233/SHTI251516","url":null,"abstract":"Digitalisation is one of the transforming forces in rehabilitation. This study aims to describe physiotherapy students' perceptions of digital documentation, their expectations of using electronic health information systems (HIS), and the transformation of digital services in rehabilitation work. Two workshops for second-year physiotherapy students were performed. The workshop participants (n = 40) wrote their responses in small groups on a digital research platform. The inductive content analysis was applied to data analysis. Three main themes emerged for expectations of HIS: system, environmental, and individual factors. Further, the expectations for the transformation of digital services were categorized into three main themes: the possibility of service quality deterioration, improvement of service quality, and changes in operational culture. In conclusion, physiotherapy students identified meaningful features of HIS that affect rehabilitation, with key expectations of digitalisation around service quality and operational culture. Placing technology adoption within the future user's context provides valuable insights for transforming rehabilitation.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"154-158"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215093","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

Why SNOMED CT Fails to Succeed. A Medical Perspective on Health Informatics. SNOMED CT失败的原因。健康信息学的医学视角。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251553

Petter Hurlen

引用次数: 0