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Facing the Future: The Case of the Response Centre of Tromsø Municipality.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250105
Rolf Wynn, Gunnar Ellingsen, Lorena Garcia Fernandez, Lars H Myklebust, Martin Bystad, Elia Gabarron
{"title":"Facing the Future: The Case of the Response Centre of Tromsø Municipality.","authors":"Rolf Wynn, Gunnar Ellingsen, Lorena Garcia Fernandez, Lars H Myklebust, Martin Bystad, Elia Gabarron","doi":"10.3233/SHTI250105","DOIUrl":"https://doi.org/10.3233/SHTI250105","url":null,"abstract":"<p><strong>Introduction: </strong>The increased demands put on the health and care services coupled with technological developments have formed an impetus for the implementation of assistive (or, welfare) technologies in the Norwegian health and care sector.</p><p><strong>Methods: </strong>We discuss the organization and functionality of a unit that monitors and coordinates the use of these technologies, named a 'Response Centre' in a Norwegian municipality.</p><p><strong>Results: </strong>We briefly present some of the assistive technology devices in current use, and discuss some ethical dilemmas that arise with their implementation in the care of the elderly and disabled.</p><p><strong>Conclusion: </strong>Assistive technolgies are likely to become increasingly important in the health and welfare sector as the proportion of eldery persons increases.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"327-331"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813352","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
Forecasting Hospitalization Trends in the Greek Elderly Population.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250135
Nikolaos Theodorakis, Georgios Feretzakis, Magdalini Kreouzi, Christos Hitas, Dimitrios Anagnostou, Sofia Kalantzi, Aikaterini Spyridaki, Georgia Vamvakou, Dimitris Kalles, Konstantinos Kalodanis, Vassilios S Verykios, Maria Nikolaou
{"title":"Forecasting Hospitalization Trends in the Greek Elderly Population.","authors":"Nikolaos Theodorakis, Georgios Feretzakis, Magdalini Kreouzi, Christos Hitas, Dimitrios Anagnostou, Sofia Kalantzi, Aikaterini Spyridaki, Georgia Vamvakou, Dimitris Kalles, Konstantinos Kalodanis, Vassilios S Verykios, Maria Nikolaou","doi":"10.3233/SHTI250135","DOIUrl":"https://doi.org/10.3233/SHTI250135","url":null,"abstract":"<p><p>This study examines the forecasting of all-cause hospitalizations in the Greek elderly population until 2032, using historical data from 2001 to 2019. We employed two forecasting models: Autoregressive Integrated Moving Average (ARIMA) and Prophet model. The ARIMA model demonstrated a conservative approach, generating stable forecasts with narrower confidence intervals, making it suitable for identifying gradual trends. In contrast, the Prophet model, with its flexibility in trend capture, produced forecasts with broader confidence intervals, capturing potential sharp increases but with greater uncertainty. Our findings underscore that forecasting accuracy varies across age groups, with the highest precision observed in the 80+ age cohort, reflecting the more predictable healthcare utilization patterns of older populations. These insights emphasize the value of a multi-model approach in healthcare planning, particularly for accurately predicting trends within aging populations and efficiently allocating healthcare resources.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"473-477"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813354","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
Android AI Application for Advanced Breast Cancer Detection in Burkina Faso.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250041
Seydou Golo Barro, Thomas Alassane Ouattara, Pascal Staccini
{"title":"Android AI Application for Advanced Breast Cancer Detection in Burkina Faso.","authors":"Seydou Golo Barro, Thomas Alassane Ouattara, Pascal Staccini","doi":"10.3233/SHTI250041","DOIUrl":"https://doi.org/10.3233/SHTI250041","url":null,"abstract":"<p><p>The adaptation of a breast cancer detection platform based on artificial intelligence, designed for use on Android devices, is an initiative driven by the particular challenges faced in Africa, where access to computers is often limited due to their high cost and limited availability, a significant issue in Burkina Faso. It is especially crucial to find tailored and more efficient solutions for healthcare professionals in such environments. This mobile adaptation aims to make this advanced technology more accessible to healthcare professionals across the country, with mobile devices being far more common and accessible, with around 86% coverage in Burkina Faso. Our goal is to simplify the work of pathologists by enabling them to benefit from the advantages of AI for early and accurate breast cancer detection, directly from mobile devices, without requiring expensive infrastructure.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813323","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
The Impact of Artificial Intelligence in Reducing the Cost of Dementia: A Scoping Review.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250053
Fatemeh Rangraz Jeddi, Ali Mohammad Nickfarjam, Reihane Sharif, Saeedeh Heydarian, Felix Holl
{"title":"The Impact of Artificial Intelligence in Reducing the Cost of Dementia: A Scoping Review.","authors":"Fatemeh Rangraz Jeddi, Ali Mohammad Nickfarjam, Reihane Sharif, Saeedeh Heydarian, Felix Holl","doi":"10.3233/SHTI250053","DOIUrl":"https://doi.org/10.3233/SHTI250053","url":null,"abstract":"<p><strong>Introduction: </strong>Dementia is a major cause of disability among the elderly, imposing significant financial burdens on healthcare systems. Traditional care approaches contribute to rising costs, especially in high-income countries. Artificial intelligence (AI) offers potential solutions by enhancing various areas of dementia care.</p><p><strong>Methods: </strong>This scoping review follows the Arksey and O'Malley framework, identifying studies from PubMed, Scopus, and Web of Science that examine AI applications in dementia care with economic impacts. Eight studies met criteria, focusing on cost reduction in diagnosis, monitoring, personalized care, and resource management.</p><p><strong>Results: </strong>AI reduces healthcare costs by enabling timely interventions, optimizing resources, and tailoring care. Technologies, including machine learning for diagnosis and wearable devices for monitoring, showed significant cost-saving potential.</p><p><strong>Discussion: </strong>AI holds promise for reducing dementia care costs, though challenges like data privacy, bias, and system integration remain. Addressing these and further research is essential to maximize AI's impact on dementia care.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"81-85"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813315","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
Automated Fall Detection in Smart Homes Using Multiple Radars and Machine Learning Classifiers.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250082
Swarubini P J, Tomohiko Igasaki, Nagarajan Ganapathy
{"title":"Automated Fall Detection in Smart Homes Using Multiple Radars and Machine Learning Classifiers.","authors":"Swarubini P J, Tomohiko Igasaki, Nagarajan Ganapathy","doi":"10.3233/SHTI250082","DOIUrl":"https://doi.org/10.3233/SHTI250082","url":null,"abstract":"<p><p>Falls pose a significant risk, especially among elderly persons. Recently, radar sensors have been explored for fall detection. In this study, an attempt has been made to classify fall detection using multiple radars, machine learning (ML) classifiers. For this, two activity sequences, falling from a stationary position (FandS) and falling while standing up (WandF), from a publicly available dataset (N=15) is considered. Range-Time (RT), Range-Doppler (RD), and Doppler-Time (DT) maps were computed from radar signals. Shannon entropy features were extracted and classified using Random Forest (RF), Support Vector Machine (SVM), and NN with leave-one-out cross-validation. The proposed approach is able to discriminate elderly fall. For FandS, RF, SVM, and NN achieved F1 scores of 55.48%, 53.33%, and 61.27%, and Kappa coefficients of 0.24, 0.14, and 0.14, respectively. For WandF, F1 scores were 80.01%, 76.42%, and 47.10%, with Kappa coefficients of 0.55, 0.44, and -0.14. Thus, the proposed framework could be used for accurate detection of falls in smart homes.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"221-225"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812995","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
Quality Criteria and Principles of Health Apps - A Scoping Review.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250118
Jona Schnepel, Annabelle Mielitz, Urs-Vito Albrecht
{"title":"Quality Criteria and Principles of Health Apps - A Scoping Review.","authors":"Jona Schnepel, Annabelle Mielitz, Urs-Vito Albrecht","doi":"10.3233/SHTI250118","DOIUrl":"https://doi.org/10.3233/SHTI250118","url":null,"abstract":"<p><p>Digital health applications (apps) have the potential to enhance treatment, but poor-quality apps can pose risks, emphasizing the need for standardized quality criteria. This paper reviews existing approaches to assessing health app quality, identifying 18 studies that focus on both general and specialized evaluation frameworks, including tools like MARS (Mobile App Rating Score). The analysis highlights six key quality domains: technical features, user experience, general features, health information quality, ethical and legal conformity, and data security. Among these, 'user experience' and 'health information quality' were the most frequently cited criteria. While many frameworks share similar criteria, their evaluation methods differ. The findings stress the importance of establishing standards and fostering collaboration to ensure consistent quality assessment of health apps.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"389-393"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813010","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
Characterizing a Framework for Assessment of the Use of FAIR Principles for Health Data in Digital Health Devices Regulation.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250093
Carlos Luis Parra-Calderón, Giulia Finocchiaro, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Carsten Maple, Parisis Gallos
{"title":"Characterizing a Framework for Assessment of the Use of FAIR Principles for Health Data in Digital Health Devices Regulation.","authors":"Carlos Luis Parra-Calderón, Giulia Finocchiaro, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Carsten Maple, Parisis Gallos","doi":"10.3233/SHTI250093","DOIUrl":"https://doi.org/10.3233/SHTI250093","url":null,"abstract":"<p><p>This paper presents a structured framework to assess the implementation of FAIR (Findable, Accessible, Interoperable, Reusable) principles in health datasets used in regulatory processes for digital health devices. With the FAIR Data Maturity Model from the Research Data Alliance (RDA) and the Pistoia Alliance's FAIR Maturity Matrix as foundational guides, this framework provides a scalable, adaptable approach for evaluating dataset readiness and compliance with regulatory requirements. By focusing on metadata quality, interoperability, and privacy, this study supports regulatory bodies and developers in aligning with FAIR principles, enhancing transparency, and ensuring that data meets the standards necessary for digital health device approval.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"270-274"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813026","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
Knowledge and Perception of Artificial Intelligence in Medicine Among Undergraduate Medical Students in Sri Lanka: A Cross Sectional Study.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250060
Poorna Fernando, Jayathri Wijayarathne, Rukshan Ranatunge, Harsha Jayakody, Malinda de Silva, Roshan Hewapathirana, Lasantha Ranwala, Rasanka Ashoranga, Ravi Wickramaratne, Vajira H W Dissanayake
{"title":"Knowledge and Perception of Artificial Intelligence in Medicine Among Undergraduate Medical Students in Sri Lanka: A Cross Sectional Study.","authors":"Poorna Fernando, Jayathri Wijayarathne, Rukshan Ranatunge, Harsha Jayakody, Malinda de Silva, Roshan Hewapathirana, Lasantha Ranwala, Rasanka Ashoranga, Ravi Wickramaratne, Vajira H W Dissanayake","doi":"10.3233/SHTI250060","DOIUrl":"https://doi.org/10.3233/SHTI250060","url":null,"abstract":"<p><p>As AI is increasingly being used in medical practise, it is important to equip medical students with the concepts and principles. A cross-sectional study was conducted to understand medical students' knowledge and perception regarding the role of AI in medicine. The study employed a validated questionnaire tailored to the local context, focusing on demographics, AI knowledge, and perceptions. About 70%, reported having a basic understanding of AI concepts. In terms of perception, 80% of the students believed that AI would play a significant role in the future of medicine. Overall, the findings highlight the need for medical education to evolve in response to emerging technologies, and the student's eagerness to learn more with the aim in improving healthcare delivery. It also compares findings with similar research, highlighting the global importance of this issue.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"116-120"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813384","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
Patient Generated Digital Health Data: An Example from the Finnish Neuro Registry.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250072
Hanna Kuusisto, Päivi Hämäläinen, Henriikka Nurmi, Reetta Kälviäinen, Merja Soilu-Hänninen
{"title":"Patient Generated Digital Health Data: An Example from the Finnish Neuro Registry.","authors":"Hanna Kuusisto, Päivi Hämäläinen, Henriikka Nurmi, Reetta Kälviäinen, Merja Soilu-Hänninen","doi":"10.3233/SHTI250072","DOIUrl":"https://doi.org/10.3233/SHTI250072","url":null,"abstract":"<p><p>Patient generated health data is increasingly supported by mobile devices, health applications and patient interfaces, through which it can be shared and forwarded to healthcare professionals (HCPs). The Finnish Neuro Registry, integrated into electronic patient records (EPRs), was developed to monitor neurological disorders. It has numerous sub-registries for specific neurological diseases such as multiple sclerosis (MS) and epilepsy. This article focuses on the patient interface for people with MS (pwMS) as well as the digital seizure diary for people with epilepsy. Patient generated data through the patient interface is displayed on a HCPs' interface to facilitate patient participation in clinical decision making. As of September 2024, the Finnish MS registry, operational for ten years, includes data from 12,633 patients, covering approximately 90% of Finland's MS population. The Finnish epilepsy registry, operational for less than three years, now includes data from 18,325 patients. The existence of the Finnish Neuro Registry is based on close collaboration between healthcare professionals, information technology (IT) specialists, and patients, highlighting the importance of teamwork in achieving seamless data integration and optimizing outcomes.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"174-178"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813400","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
Mapping National Vocabularies to International Standards Using OHDSI Standardized Vocabularies.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250110
Elisa Henke, Stephan Lorenz, Michele Zoch, Martin Sedlmayr, Yuan Peng
{"title":"Mapping National Vocabularies to International Standards Using OHDSI Standardized Vocabularies.","authors":"Elisa Henke, Stephan Lorenz, Michele Zoch, Martin Sedlmayr, Yuan Peng","doi":"10.3233/SHTI250110","DOIUrl":"https://doi.org/10.3233/SHTI250110","url":null,"abstract":"<p><p>Ensuring semantic interoperability in international studies is crucial. In this context, the mapping of national to international vocabularies is necessary. The Standardized Vocabularies of OHDSI provide such a mapping, which forms the basis for semantic interoperability in the standardized data model OMOP CDM. The aim of this paper is to provide a guideline for vocabulary mapping that supports developers in efficiently implementing the technical application of mappings into the ETL process for transforming data to OMOP CDM. By implementing materialized views and creating a decision tree, we provide a solid foundation for efficient semantic mapping in OMOP CDM. With our work, we mark an important step in realizing international observational studies based on OMOP CDM.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"349-353"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813392","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
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