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Studies in health technology and informatics最新文献

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Designing a Physiotherapy Integrated Diagnostic System Incorporating Clinical Motion Analysis of Musicians.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250106
Eduard Wolf, Karsten Morisse, Sven Meister
{"title":"Designing a Physiotherapy Integrated Diagnostic System Incorporating Clinical Motion Analysis of Musicians.","authors":"Eduard Wolf, Karsten Morisse, Sven Meister","doi":"10.3233/SHTI250106","DOIUrl":"https://doi.org/10.3233/SHTI250106","url":null,"abstract":"<p><p>Musicians are prone to musculoskeletal disorders that require effective treatment. The RefLabPerform project integrates Clinical Movement Analysis (CMA) with clinical assessments to enable precise diagnosis, personalized therapy, and progress monitoring. This paper presents a CMA process workflow and an integrated diagnostic system featuring modular subsystems for data acquisition, management, and integration. Core components include documentation, dashboard, and survey tools as well as an order-entry and laboratory information management systems for motion analysis, all connected through a central communication server. The system will support streamlined workflows and data-driven decision-making.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"332-336"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813289","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 a Protocol for Aligning and Correlating Seismocardiography with Echocardiography.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250114
Dennis Lawin, Ulf Kulau, Urs-Vito Albrecht
{"title":"Developing a Protocol for Aligning and Correlating Seismocardiography with Echocardiography.","authors":"Dennis Lawin, Ulf Kulau, Urs-Vito Albrecht","doi":"10.3233/SHTI250114","DOIUrl":"https://doi.org/10.3233/SHTI250114","url":null,"abstract":"<p><p>Seismocardiography (SCG) monitors health metrics through body surface vibrations from heart activity. The BEAT experiment required echocardiography (ECHO) to correlate SCG signals with cardiac events. Since no standardized ECHO protocol existed, the authors developed one. The protocol focused on recording mitral and aortic valve openings and closings using multiple ECHO modalities for accuracy, ensuring usability, comfort, and efficient data collection. It was tested on healthy subjects and allowed post-hoc analysis of cardiac function. This standardized protocol aims to enhance comparability across SCG studies and offers a reliable method for correlating SCG signals with cardiac events.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"369-373"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813293","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
A Review of Technology-Induced Errors.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250133
Kaija Saranto, Hanna Kuusisto, Tuulikki Vehko
{"title":"A Review of Technology-Induced Errors.","authors":"Kaija Saranto, Hanna Kuusisto, Tuulikki Vehko","doi":"10.3233/SHTI250133","DOIUrl":"https://doi.org/10.3233/SHTI250133","url":null,"abstract":"<p><p>Technology-induced errors (TIE) first appeared in research reports in the early 2000s. This review analyzes the literature on technology-induced errors to classify problems into clinical and procedure errors, human factors, and technical difficulties. Based on the literature review, all 15 publications were classified into the human factors category, while the technical problems category was the minority of the publications. The studies' methods varied, with literature reviews being the most often used. Since the concept of TIE appeared in research, it took almost ten years before more publications became available.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"463-467"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813302","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
A Virtual Reality Pilot for Second-Year Medical Students' Clinical Training: Students' Experiences.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250144
Rolf Wynn, Yvonne Solli Larsen, Kristin Johannessen, Ann Margreth Solbakken
{"title":"A Virtual Reality Pilot for Second-Year Medical Students' Clinical Training: Students' Experiences.","authors":"Rolf Wynn, Yvonne Solli Larsen, Kristin Johannessen, Ann Margreth Solbakken","doi":"10.3233/SHTI250144","DOIUrl":"https://doi.org/10.3233/SHTI250144","url":null,"abstract":"<p><strong>Introduction: </strong>This study presents a Virtual Reality (VR) pilot for second-year medical students on the topic of psychosis.</p><p><strong>Methods: </strong>14 students participated. The VR session included an introductory lecture and reflective discussion with an experience consultant present.</p><p><strong>Results: </strong>The students rated learning outcomes, understanding of psychosis, and overall satisfaction highly. There were minimal technical issues and a minority reported discomfort.</p><p><strong>Discussion/conclusion: </strong>VR can be an effective supplementary tool for medical education, enhancing students' understanding of complex conditions.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"516-517"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813304","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
Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250071
Xingyue Huo, Manish Kohli, Joseph Finkelstein
{"title":"Using Machine Learning to Predict Survival in Patients with Metastatic Castration-Resistant Prostate Cancer.","authors":"Xingyue Huo, Manish Kohli, Joseph Finkelstein","doi":"10.3233/SHTI250071","DOIUrl":"https://doi.org/10.3233/SHTI250071","url":null,"abstract":"<p><p>Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patients. However, the accuracy of prognostic biomarkers for predicting survival in patients with metastatic castration-resistant prostate cancer (mCRPC) still has space for improvement. This study aimed to predict 3-year survival in mCRPC patients by analyzing clinical and demographic features. A total of 664 patients with 41 clinical and demographic variables were evaluated. We utilized the class-weighted XGBoost algorithm to address class imbalance and improve the accuracy of outcome predictions. The model achieved an accuracy of 0.73, an AUC of 0.74, a recall, precision and F1 score value of 0.84, indicating a good ability to distinguish between patients who survived less than or more than 3 years. Our findings suggest that PSA, along with other non-specific biomarkers such as albumin and LDH, are significant predictors of survival in mCRPC patients and can be successfully used in machine learning algorithms to predict survival in mCRPC patients.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"169-173"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813343","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
Using Statistical Learning to Examine Variables that Contribute to Longer Hospital Stays After Endometrial Cancer Surgery.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250094
Francesca D'Isa, Mimmo de Francesco, Maria Triassi, Andrea Fidecicchi
{"title":"Using Statistical Learning to Examine Variables that Contribute to Longer Hospital Stays After Endometrial Cancer Surgery.","authors":"Francesca D'Isa, Mimmo de Francesco, Maria Triassi, Andrea Fidecicchi","doi":"10.3233/SHTI250094","DOIUrl":"https://doi.org/10.3233/SHTI250094","url":null,"abstract":"<p><p>Endometrial cancer, primarily arising from the lining of the uterus (endometrium), is the most common gynecological malignancy in many developed countries. Risk factors include obesity, age, and a family history of related cancers. The prognosis is generally favorable when detected early. One important measure of clinical results and resource use is the duration of hospital stay (LOS) after surgery. Understanding the causes of prolonged hospital stays is crucial for improving patient care because both organizational and patient-related factors can have a substantial impact on LOS. This study uses a statistical learning technique to investigate the LOS following endometrial cancer surgery at the Antonio Cardarelli Hospital in Naples, Italy. It expands on earlier research on the reasons for prolonged LOS in surgical oncology. Illness severity showed a potential influence on LOS but was not statistically significant in the model.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"275-279"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813345","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
Proposing an Integrated Process Model for Designing Clinical Decision Support Tools.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250107
Eduard Wolf, Karsten Morisse, Sven Meister
{"title":"Proposing an Integrated Process Model for Designing Clinical Decision Support Tools.","authors":"Eduard Wolf, Karsten Morisse, Sven Meister","doi":"10.3233/SHTI250107","DOIUrl":"https://doi.org/10.3233/SHTI250107","url":null,"abstract":"<p><p>We propose a Human Factors Engineering process model for designing clinical decision support tools (CDST) that integrates Design Study Methodology, User-Centered Design, and Decision-Centered Design. It addresses domain-specific needs, cognitive demands, and decision-making processes. We hypothesize our approach will improve CDST usability and acceptance, while enhancing decision-making and reducing cognitive workload.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"337-338"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813007","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
Safety Planning for Suicide Prevention: Insights from the SERO App.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250078
Kerstin Denecke, Elia Gabarron
{"title":"Safety Planning for Suicide Prevention: Insights from the SERO App.","authors":"Kerstin Denecke, Elia Gabarron","doi":"10.3233/SHTI250078","DOIUrl":"https://doi.org/10.3233/SHTI250078","url":null,"abstract":"<p><p>Safety planning is an intervention that demonstrated to be successful in help individuals self-manage suicidal crises. The SERO suicide prevention app supports this safety planning in a digital manner. The objective of this paper is to identify the specific components of safety plans and thereby guiding the design of digital solutions in a way that it supports individuals' needs. We analysed the safety plans of all 1848 at risk users registered with the SERO app by applying BERTopic and Google's Gemma-2 Large Language Model to identify themes and topics mentioned in the safety plans. The analysis of the safety plans revealed that users frequently cited family and loved ones as motivations to live, identified certain physical signs and emotions as warning signs, and reported social contact and activities as coping strategies. Digital solutions, such as apps, as well as other traditional suicide prevention interventions could enhance their efforts by supplementing and refining the intervention with personalized support.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"201-205"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813033","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
Software Quality Injection (QI): A Quality Driven Holistic Approach for Optimising Big Healthcare Data Processing.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250065
Tia Haddad, Pushpa Kumarapeli, Simon de Lusignan, Souheil Khaddaj, Sarah Barman
{"title":"Software Quality Injection (QI): A Quality Driven Holistic Approach for Optimising Big Healthcare Data Processing.","authors":"Tia Haddad, Pushpa Kumarapeli, Simon de Lusignan, Souheil Khaddaj, Sarah Barman","doi":"10.3233/SHTI250065","DOIUrl":"https://doi.org/10.3233/SHTI250065","url":null,"abstract":"<p><p>The rapid growth of big data is driving innovation in software development, with advanced analytics offering transformative opportunities in applied computing. Big Healthcare Data (BHD), characterised by multi-structured and complex data types, requires resilient and scalable architectures to effectively address critical data quality issues. This paper proposes a holistic framework for adopting advanced cloud-computing strategies to manage and optimise the unique characteristics of BHD processing. It outlines a comprehensive approach for ensuring optimal data handling for critical healthcare workflows by enhancing the system's quality attributes. The proposed framework prioritises and dynamically adjusts software functionalities in real-time, harnessing sophisticated orchestration capabilities to manage complex, multi-dimensional healthcare datasets, streamline operations, and bolster system resilience.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"141-145"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813121","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
GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.
Studies in health technology and informatics Pub Date : 2025-04-08 DOI: 10.3233/SHTI250054
Fatemeh Shah-Mohammadi, Joseph Finkelstein
{"title":"GPT-4 in Clinical Practice: Assessing Its Capability for Symptom Extraction from Cancer Patient Notes.","authors":"Fatemeh Shah-Mohammadi, Joseph Finkelstein","doi":"10.3233/SHTI250054","DOIUrl":"https://doi.org/10.3233/SHTI250054","url":null,"abstract":"<p><p>Accurate extraction of patient symptoms and signs from clinical notes is essential for effective diagnosis, treatment planning, and research. In this study, we evaluate the capability of GPT-4, specifically GPT-4o, in extracting symptoms and signs from nursing notes within the MIMIC-III dataset. We experimented with two temperature settings (1 and 0.3) to explore the impact of model diversity and consistency on extraction accuracy. Performance metrics include precision, specificity, recall, and F1-score. The results show that a higher temperature (1) led to more creative and varied outputs, with a mean precision of 79% and specificity of 96%, but also exhibited variability, with a minimum precision of 24%. Conversely, at a lower temperature (0.3), precision was more conservative but dropped significantly, with a mean precision of 45% and minimum of 0%. High recall and specificity at optimal temperature setting indicates that GPT-4 holds promise as an assistive tool in clinical practice for symptom and sign extraction tasks.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"323 ","pages":"86-90"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143813360","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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