Studies in health technology and informatics最新文献_第3页

Predicting Successful Weaning from Veno-Arterial ECMO Using Machine Learning. 使用机器学习预测静脉-动脉ECMO成功脱机。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251489

Mathieu Beaudeau, Nicolas Nesseler, Jean-Philippe Verhoye, Erwan Flecher, Marc Cuggia, Boris Delange

引用次数: 0

Integrating Technology-Driven Database System into Infectious Waste Management for Resource-Limited Settings. 将技术驱动的数据库系统整合到资源有限的传染性废物管理中。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251515

Niruwan Turnbull, Chamaiphon Phaengtho, Jindawan Wibuloutai, Ruchakron Kongmant, Kannikar Hannah Wechkunanukul

{"title":"Integrating Technology-Driven Database System into Infectious Waste Management for Resource-Limited Settings.","authors":"Niruwan Turnbull, Chamaiphon Phaengtho, Jindawan Wibuloutai, Ruchakron Kongmant, Kannikar Hannah Wechkunanukul","doi":"10.3233/SHTI251515","DOIUrl":"https://doi.org/10.3233/SHTI251515","url":null,"abstract":"The rise in infectious waste during the COVID-19 pandemic exposed critical challenges in Thailand's waste management systems, particularly within sub-district public health facilities. This study aimed to develop and implement an infectious waste management database system for 14 Sub-District Health Promoting Hospitals (HPHs) in Kantharawichai District, Maha Sarakham Province. Using a Research and Development (R&D) model and the knowledge-attitudes-practices (KAP) model to understand behaviors. The development phase engaged 145 community caregivers, of whom 95.17% were female and 74.48% aged between 30-59 years. Results showed that 56.55% of participants had a high knowledge of infectious waste management, while 42.76% expressed a high level of positive attitudes. In terms of behavior, 37.93% demonstrated high compliance with appropriate waste handling practices. Data derived from KAP, and interviews were used as the main inputs to develop the database system. The system included real-time dashboards, GPS-tagged data inputs, automated alerts, and data visualization tools using Microsoft Excel and Power BI. This research offers a scalable digital solution for enhancing infectious waste management, particularly in resource-limited community health settings.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"149-153"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215162","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

Topics and Characteristics of Registered Studies on LLMs. 法学硕士注册研究的主题和特点。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251560

Christian Thiele, Gerrit Hirschfeld

引用次数: 0

From Guidelines to Code: Formalizing STOPP/START Criteria Using LLMs and RAG for Clinical Decision Support. 从指南到代码：使用llm和RAG正式确定临床决策支持的STOPP/START标准。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251492

Samya Adrouji, Abdelmalek Mouazer, Jean-Baptise Lamy

{"title":"From Guidelines to Code: Formalizing STOPP/START Criteria Using LLMs and RAG for Clinical Decision Support.","authors":"Samya Adrouji, Abdelmalek Mouazer, Jean-Baptise Lamy","doi":"10.3233/SHTI251492","DOIUrl":"https://doi.org/10.3233/SHTI251492","url":null,"abstract":"STOPP/START v3 is a set of criteria for optimizing therapy for elderly patients with polypharmacy. Implementing these criteria in prescribing software requires to formalize them, which is a difficult task. This project aimed to automate the formalization of these criteria using large language models (LLMs), specifically leveraging Retrieval-Augmented Generation (RAG) for enhanced accuracy. We employed DeepSeek and GPT-4o-mini for entity extraction, code mapping to ICD-10, LOINC, and ATC, and the generation of executable Python code. A preliminary evaluation conducted on a subset of rules yielded a notably high F1-score (0.90, 0.92, 1 for drug, disease and observation entity mapping respectively and perfect results for medical entity extraction and code logic consistency). These results confirm the model's effectiveness in accurately transforming complex clinical rules into executable code. In conclusion, we successfully automated the creation of executable code from medical guidelines, proving that LLMs, supported by RAG, can be effective for automating clinical decision support tasks and formalizing medical rules.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"42-46"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215167","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

Simulating Empathic Interactions with Synthetic LLM-Generated Cancer Patient Personas. 模拟共情互动与合成法学硕士生成的癌症患者人物角色。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251498

Rezaur Rashid, Saba Kheirinejad, Brianna M White, Soheil Hashtarkhani, Parnian Kheirkhah Rahimabad, Fekede A Kumsa, Lokesh Chinthala, Janet A Zink, Christopher L Brett, Robert L Davis, David L Schwartz, Arash Shaban-Nejad

{"title":"Simulating Empathic Interactions with Synthetic LLM-Generated Cancer Patient Personas.","authors":"Rezaur Rashid, Saba Kheirinejad, Brianna M White, Soheil Hashtarkhani, Parnian Kheirkhah Rahimabad, Fekede A Kumsa, Lokesh Chinthala, Janet A Zink, Christopher L Brett, Robert L Davis, David L Schwartz, Arash Shaban-Nejad","doi":"10.3233/SHTI251498","DOIUrl":"https://doi.org/10.3233/SHTI251498","url":null,"abstract":"Unplanned interruptions in radiation therapy (RT) increase clinical risks, yet proactive, personalized psychosocial support remains limited. This study presents a proof-of-concept framework that simulates and evaluates Empathic AI-patient interactions using large language models (LLMs) and synthetic oncology patient personas. Leveraging a de-identified dataset of patient demographics, clinical features, and social determinants of health (SDoH), we created realistic personas that interact with an empathic AI assistant in simulated dialogues. The system uses dual LLMs, one for persona generation and another for empathic response, which engage in multi-turn dialogue pairs per persona. We evaluated the outputs using statistical similarity tests, quantitative metrics (BERTScore, SDoH relevance, empathy, persona distinctness), and qualitative human assessment. The results demonstrate the feasibility of scalable, secure, and context-aware dialogue for early-stage AI development. This HIPAA/GDPR compliant framework supports ethical testing of empathic clinical support tools and lays the groundwork for AI-driven interventions to improve RT adherence.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"72-76"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145214955","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

Proposal of a Methodology to Enhance Mini-HTA Evaluations. 建议一种加强小型hta评估的方法。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251533

Sara Bruzzone, Gabriella Paoli, Gaetano Stefano Scillieri, Roberto Sacile, Mauro Giacomini

{"title":"Proposal of a Methodology to Enhance Mini-HTA Evaluations.","authors":"Sara Bruzzone, Gabriella Paoli, Gaetano Stefano Scillieri, Roberto Sacile, Mauro Giacomini","doi":"10.3233/SHTI251533","DOIUrl":"https://doi.org/10.3233/SHTI251533","url":null,"abstract":"The National HTA Programme (PNHTA) - Medical Devices is designed to promote collaboration among the entities responsible for decision-making processes, with the purpose of developing and implementing tools based on Health Technology Assessment (HTA), ensuring more effective governance of medical devices. This study focuses on the implementation of a new strategy for managing the procurement requests of innovative medical devices, in line with the PNHTA. Specifically, it aims to develop a support method for healthcare organizations planning to introduce new technologies into clinical practice, providing a useful tool to guide decisions regarding the adoption or exclusion of each device. The innovation lies in identifying a method aimed at improving the robustness of healthcare decisions. The proposed model uses the Analytic Hierarchy Process (AHP) method to conduct a multicriteria analysis of the innovative devices, in order to strengthen the decision-making process. This method allows for the comparison and evaluation of different alternatives based on specific criteria and sub-criteria, with the objective of identifying the most advantageous solution.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"227-231"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215078","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

MedTok or MythTok? Classifying Health Misinformation on TikTok with AI. MedTok还是MythTok？用人工智能对TikTok上的健康错误信息进行分类。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251497

Elisavet Andrikopoulou, Nicholas Talam, Aikaterini Kanta

引用次数: 0

Mobile EEG (DreamMachine) and AI in Education: Toward Smarter Classrooms and Better Mental Health. 移动脑电图（DreamMachine）和教育中的人工智能：走向更智能的教室和更好的心理健康。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251550

Paria Samimisabet, Gordon Pipa, Karsten Morisse

{"title":"Mobile EEG (DreamMachine) and AI in Education: Toward Smarter Classrooms and Better Mental Health.","authors":"Paria Samimisabet, Gordon Pipa, Karsten Morisse","doi":"10.3233/SHTI251550","DOIUrl":"https://doi.org/10.3233/SHTI251550","url":null,"abstract":"The convergence of mobile electroencephalography (EEG) technology and artificial intelligence (AI) offers transformative potential for education. We propose a novel conceptual framework that integrates DreamMachine, a clinically validated mobile EEG device, with AI-driven adaptive learning systems. Our vision is to create neuroadaptive educational environments where real-time EEG signals, including markers of attention, cognitive load, and emotional states, and mental well-being inform AI algorithms to personalize content delivery dynamically. Such an approach could significantly enhance learning efficiency, engagement, and inclusivity, and support the mental health of learners by identifying stress or cognitive overload early and enabling timely, personalized interventions. This study outlines the technical feasibility of leveraging DreamMachine's high-fidelity, low-cost, portable EEG data in the classroom and remote settings. It proposes a machine-learning pipeline for real-time cognitive state detection. Ethical considerations surrounding neurodata use in education are discussed, emphasizing the need for privacy, transparency, and student agency. We invite collaboration on this interdisciplinary initiative, aiming to pilot the system in educational settings and redefine the future of personalized, mentally supportive learning.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"304-308"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215151","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 Semantic-Driven for Cohort Data Harmonisation into OMOP CDM Schema. 语义驱动的队列数据协调到OMOP CDM模式。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251524

Raquel Paradinha, Vicente Barros, João Rafael Almeida, José Luís Oliveira

引用次数: 0

Digital Presence of Health Authorities in Germany and Switzerland: Implications for Open Public Health Data Readiness. 德国和瑞士卫生当局的数字存在：对开放公共卫生数据准备的影响。

Studies in health technology and informatics Pub Date : 2025-10-02 DOI: 10.3233/SHTI251513

Candice Louw

{"title":"Digital Presence of Health Authorities in Germany and Switzerland: Implications for Open Public Health Data Readiness.","authors":"Candice Louw","doi":"10.3233/SHTI251513","DOIUrl":"https://doi.org/10.3233/SHTI251513","url":null,"abstract":"Open health data is arguably the cornerstone of modern public health strategy, enabling data-driven policymaking and promoting transparency. The extent and format of health data publication, however, vary widely across jurisdictions, especially within multi-tiered health governance systems. This study subsequently investigates the digital presence and open data strategies of health authorities in Germany and Switzerland, focusing on their official websites as the primary interface for public communication. A structured content assessment was conducted for 16 German state-level public health authorities (Landesgesundheitsämter), 26 Swiss cantonal health departments, and both countries' national public health bodies. Findings show that having a web presence, health-related content, data dashboards, and access to raw (machine-readable) datasets are prominent. German state-level authorities frequently publish general health information with statistical reports and datasets, while Swiss cantons largely offer general health information. At national-level, however, Switzerland provides centralized open data access, unlike Germany's more distributed model (i.e. at state-level). The results suggest that open data visibility is strongly influenced by the structure of public health governance based on population size - decentralized in Germany and more centralized in Switzerland. These findings highlight the value of observing communication trends across governance tiers (and population sizes) to inform open health data strategies in federated systems, and beyond.","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"332 ","pages":"139-143"},"PeriodicalIF":0.0,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145215105","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