AMIA ... Annual Symposium proceedings. AMIA Symposium最新文献

Web-based Interventions for Substance Use Disorders and Mental Health: Preliminary findings from a Scoping Review. 基于网络的物质使用障碍和精神健康干预：范围审查的初步发现。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-12-19 eCollection Date: 2024-01-01

Yuri Quintana, Amanda L Joseph, Gyana Srivastava

{"title":"Web-based Interventions for Substance Use Disorders and Mental Health: Preliminary findings from a Scoping Review.","authors":"Yuri Quintana, Amanda L Joseph, Gyana Srivastava","doi":"","DOIUrl":"","url":null,"abstract":"This scoping review evaluated the efficacy and potential of web-based interventions for substance use disorders and mental health conditions. The studies comprise randomized controlled trials, pilot trials, and effectiveness trials. Web-based interventions consistently demonstrated significant reductions in substance use, improvements in mental health outcomes (e.g., PTSD, depression, anxiety), and enhancements in emotion regulation, help-seeking, and quality of life. Several studies found web-based interventions to be non-inferior or superior to traditional face-to-face treatments. Despite limitations in the current evidence base, such as methodological issues and lack of long-term follow-up, the findings highlight the promise of web-based interventions in expanding access to evidence-based care, particularly for underserved populations. Future research should focus on refining interventions, exploring novel technologies, and evaluating long-term effectiveness and cost-effectiveness. The integration of web-based interventions into healthcare systems has the potential to significantly impact public health by increasing treatment accessibility and improving outcomes for individuals with substance use disorders and mental health conditions.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"940-949"},"PeriodicalIF":0.0,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12778349/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145936476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Evidence-Based Patient-Centered Optimal Initiation Time for Dialysis Treatment. 数据驱动的循证患者为中心的透析治疗最佳起始时间。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Eva K Lee, Di Liu, Jeffrey Hoffman

{"title":"Data-Driven Evidence-Based Patient-Centered Optimal Initiation Time for Dialysis Treatment.","authors":"Eva K Lee, Di Liu, Jeffrey Hoffman","doi":"","DOIUrl":"","url":null,"abstract":"In this study, we propose a novel decision-making framework based on natural-language processing, machine learning and stochastic modeling for the purpose of providing a data-driven perspective to optimize the initiation time for dialysis treatment. When to start dialysis treatment is an important decision for end-stage chronic kidney disease (CKD) care. In the absence of a national guideline, determining the best time to start dialysis remains a challenge. Our decision support framework for optimizing the initiation time includes (a) a comprehensive, efficient \"pipeline\" for extracting, de-identifying, and standardizing EHR data; (b) an informatics toolkit that couples natural language processing and event mapping, clustering and machine learning to uncover the disease prognosis and treatment effects, and deduce the symptoms and utility rewards for each disease-action stage; (c) a first-of-its-kind, personalized, dialysis-timing stochastic model to determine the optimal initiation time; and (d) a clinical practice guideline (CPG) for systematic testing and implementation in the clinical setting. We evaluate the results using utility rewards for each decision process and published financial costs for each CKD disease and treatment stage. Compared to current clinical policy, the optimal initiation-time policies offer a potential 20.0% to 54.7% mortality reduction, an increase of 6.4% to 14.7% in overall utility reward and a reduction of 9.6% to 16.7% in overall cost. Working with nephrologists and a CKD/ESRD care team, a CPG was developed and tested in the clinic. Initial usage shows promising results. Follow-on clinical trials will gauge the overall effectiveness and impact on patient care of our approach. The new CPG has the potential to become a national standard.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"683-692"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919589/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147272947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

My Kidney T.R.E.K. - Thinking, Reflecting, and Empowering Kidney Transplant Patients, through technology. 我的肾脏T.R.E.K. -思考，反思，并授权肾移植患者，通过技术。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Julia C Dunbar, Wanda Pratt, Lily Jeffs, Chelsea Ng, Sanaa Sayed, Jodi Smith, Ari H Pollack

引用次数: 0

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community. 开发以用户为中心的移动应用程序原型：将下肢骨折护理从熟练护理机构连接到社区。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Min-Jeoung Kang, Veysel Karani Baris, Alice Kim, Kumiko O Schnock, Pamela M Garabedian, Nancy K Latham, Denise Orwig, Jay Magaziner, Rodrigo Valderrábano, Ling Tang, Elizabeth Dennis, Jason Falvey, Patricia C Dykes

{"title":"Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.","authors":"Min-Jeoung Kang, Veysel Karani Baris, Alice Kim, Kumiko O Schnock, Pamela M Garabedian, Nancy K Latham, Denise Orwig, Jay Magaziner, Rodrigo Valderrábano, Ling Tang, Elizabeth Dennis, Jason Falvey, Patricia C Dykes","doi":"","DOIUrl":"","url":null,"abstract":"This study is part of the OsteoPorotic fracTure preventION System (OPTIONS) project which aims to develop an evidence-based mobile application for older adults transitioning from skilled nursing facilities (SNFs) back to the community after lower limb fractures. The app promotes exercise, nutrition, and bone health medications to prevent future fractures. Using a Design science framework, app requirements were identified by synthesizing scientific knowledge, clinical expertise, and end-user needs. An initial mockup was developed based on these specifications and iteratively refined through design sessions incorporating end-user feedback. The final OPTIONS app features four core functions: (1) task-based self-management support, (2) personalized exercises and education, (3) motivational messaging, and (4) progress tracking allowing users to monitor their progress through visualizations. By addressing usability challenges for older adults, the app provides a personalized, engaging experience for continuous health management.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"566-574"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919587/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147273056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Relation Extraction with Instance-Adapted Predicate Descriptions. 基于实例适应谓词描述的关系提取。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Yuhang Jiang, Ramakanth Kavuluru

引用次数: 0

PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping. 基于大语言模型的计算表型方法的评估框架。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Sarah A Pungitore, Shashank Yadav, Vignesh Subbian

引用次数: 0

When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies. 当人工智能回信时：医生对人工智能起草的患者信息回复的伦理考虑。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Di Hu, Yawen Guo, Ha Na Cho, Emilie Chow, Dana B Mukamel, Dara Sorkin, Andrew Reikes, Danielle Perret, Deepti Pandita, Kai Zheng

{"title":"When AI Writes Back: Ethical Considerations by Physicians on AI-Drafted Patient Message Replies.","authors":"Di Hu, Yawen Guo, Ha Na Cho, Emilie Chow, Dana B Mukamel, Dara Sorkin, Andrew Reikes, Danielle Perret, Deepti Pandita, Kai Zheng","doi":"","DOIUrl":"","url":null,"abstract":"The increasing burden of responding to large volumes of patient messages has become a key factor contributing to physician burnout. Generative AI (GenAI) shows great promise to alleviate this burden by automatically drafting patient message replies. The ethical implications of this use have however not been fully explored. To address this knowledge gap, we conducted a qualitative interview study with 21 physicians who participated in a GenAI pilot program. We found that notable ethical considerations expressed by the physician participants included oversight as ethical safeguard, transparency and patient consent of AI use, patient misunderstanding of AI's role, and patient privacy and data security as prerequisites. Additionally, our findings suggest that the physicians believe the ethical responsibility of using GenAI in this context primarily lies with users, not with the technology. These findings may provide useful insights into guiding the future implementation of GenAI in clinical practice.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"481-489"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919555/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147273079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identifying Missing IS-A Relations in SNOMED CT with Fine-Tuned Pre-trained Language Models and Non-lattice Subgraphs. 用微调预训练语言模型和非格子图识别SNOMED CT中缺失的IS-A关系。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui

{"title":"Identifying Missing IS-A Relations in SNOMED CT with Fine-Tuned Pre-trained Language Models and Non-lattice Subgraphs.","authors":"Xubing Hao, Rashmie Abeysinghe, Jay Shi, Guo-Qiang Zhang, Licong Cui","doi":"","DOIUrl":"","url":null,"abstract":"Ensuring the completeness of IS-A relations in SNOMED CT is crucial for maintaining its accuracy in clinical applications. In this study, we propose a hybrid approach leveraging non-lattice subgraphs and pre-trained language models (PLMs) to identify missing IS-A relations in SNOMED CT. We fine-tuned four BERT-based models: BERT, DistillBERT, DeBERTa, and BioClinicalBERT, and four generative large language models (LLMs): BioMistral, Llama3, Gemma2, and Phi-4. Missing IS-A relations were identified through consensus predictions by all eight models. De-BERTa achieved the best performance (precision: 0.96, recall: 0.97, F1-score: 0.965) for IS-A relation prediction. Our approach identified 678 potential missing IS-A relations in SNOMED CT (March 2023 US Edition), of which 100 randomly selected cases were manually reviewed by a domain expert, confirming 93 as valid (93% precision). These results demonstrate the effectiveness of fine-tuned PLMs in detecting missing IS-A relations within non-lattice subgraphs, offering a promising avenue for improving SNOMED CT's quality.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"433-442"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147273142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STop Clock for Automated Tracking (STAT) during Time-Critical Medical Work: Evaluating the Accuracy and Usability of an AI-Driven Automated Stop Clock. 在时间紧迫的医疗工作中用于自动跟踪（STAT）的计时器：评估人工智能驱动的自动计时器的准确性和可用性。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Katherine A Zellner, Sifan Yuan, Emily R Ernst, Dylan W Arkowitz, Aaron H Mun, Mary S Kim, Ivan Marsic, Randall S Burd, Aleksandra Sarcevic

引用次数: 0

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models. 使用大型语言模型的儿童脓毒症队列的上下文表型分析。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01

Aditya Nagori, Ayush Gautam, Matthew O Wiens, Vuong Nguyen, Nathan Kenya Mugisha, Jerome Kabakyenga, Niranjan Kissoon, John Mark Ansermino, Rishikesan Kamaleswaran

{"title":"Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models.","authors":"Aditya Nagori, Ayush Gautam, Matthew O Wiens, Vuong Nguyen, Nathan Kenya Mugisha, Jerome Kabakyenga, Niranjan Kissoon, John Mark Ansermino, Rishikesan Kamaleswaran","doi":"","DOIUrl":"","url":null,"abstract":"The clustering of patient subgroups is essential for personalized care and efficient use of resources. Traditional clustering methods struggle with high-dimensional heterogeneous healthcare data and lack contextual understanding. This study evaluates clustering based on the Large Language Model (LLM) against classical methods using a pediatric sepsis dataset from a low-income country (LIC), containing 2,686 records with 28 numerical variables and 119 categorical variables. Patient records were serialized into text with and without a clustering objective. Embeddings were generated using quantized LLAMA 3.1 8B, DeepSeek-R1-Distill-Llama-8B with low-rank adaptation(LoRA), and Stella-En-400M-V5 models. K-means clustering was applied to these embeddings. Classical comparisons included K-Medoids clustering on UMAP and FAMD-reduced mixed data. Silhouette scores and statistical tests evaluated the quality and distinctiveness of the cluster. Stella-En-400M-V5 achieved the highest Silhouette Score (0.86). LLAMA 3.1 8B with the clustering objective performed better with a higher number of clusters, identifying subgroups with distinct nutritional, clinical, and socioeconomic profiles. LLM-based methods outperformed classical techniques by capturing richer context and prioritizing key features. These results highlight the potential of LLMs for contextual phenotyping and informed decision making in resource-limited settings.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2024 ","pages":"929-938"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12919534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147273189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0