AMIA ... Annual Symposium proceedings. AMIA Symposium最新文献_第4页

Assessing Telemedicine Competencies: Developing and Validating Learner Measures for Simulation-Based Telemedicine Training. 评估远程医疗能力：为基于模拟的远程医疗培训开发和验证学习者衡量标准。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Blake Lesselroth, Helen Monkman, Ryan Palmer, Craig Kuziemsky, Andrew Liew, Kristin Foulks, Deirdra Kelly, Ainsly Wolfinbarger, Frances Wen, Liz Kollaja, Shannon Ijams, Juell Homco

{"title":"Assessing Telemedicine Competencies: Developing and Validating Learner Measures for Simulation-Based Telemedicine Training.","authors":"Blake Lesselroth, Helen Monkman, Ryan Palmer, Craig Kuziemsky, Andrew Liew, Kristin Foulks, Deirdra Kelly, Ainsly Wolfinbarger, Frances Wen, Liz Kollaja, Shannon Ijams, Juell Homco","doi":"","DOIUrl":"","url":null,"abstract":"In 2021, the Association of American Medical Colleges published Telehealth Competencies Across the Learning Continuum, a roadmap for designing telemedicine curricula and evaluating learners. While this document advances educators' shared understanding of telemedicine's core content and performance expectations, it does not include turn-key-ready evaluation instruments. At the University of Oklahoma School of Community Medicine, we developed a year-long telemedicine curriculum for third-year medical and second-year physician assistant students. We used the AAMC framework to create program objectives and instructional simulations. We designed and piloted an assessment rubric for eight AAMC competencies to accompany the simulations. In this monograph, we describe the rubric development, scores for students participating in simulations, and results comparing inter-rater reliability between faculty and standardized patient evaluators. Our preliminary work suggests that our rubric provides a practical method for evaluating learners by faculty during telemedicine simulations. We also identified opportunities for additional reliability and validity testing.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"474-483"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467351","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

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. 多机构临床笔记稳健文本分类的原产地干扰后门调整。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Xiruo Ding, Zhecheng Sheng, Meliha Yetişgen, Serguei Pakhomov, Trevor Cohen

{"title":"Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes.","authors":"Xiruo Ding, Zhecheng Sheng, Meliha Yetişgen, Serguei Pakhomov, Trevor Cohen","doi":"","DOIUrl":"","url":null,"abstract":"Natural Language Processing (NLP) methods have been broadly applied to clinical tasks. Machine learning and deep learning approaches have been used to improve the performance of clinical NLP. However, these approaches require sufficiently large datasets for training, and trained models have been shown to transfer poorly across sites. These issues have led to the promotion of data collection and integration across different institutions for accurate and portable models. However, this can introduce a form of bias called confounding by provenance. When source-specific data distributions differ at deployment, this may harm model performance. To address this issue, we evaluate the utility of backdoor adjustment for text classification in a multi-site dataset of clinical notes annotated for mentions of substance abuse. Using an evaluation framework devised to measure robustness to distributional shifts, we assess the utility of backdoor adjustment. Our results indicate that backdoor adjustment can effectively mitigate for confounding shift.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"923-932"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467357","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

Contextual Variation of Clinical Notes induced by EHR Migration. 电子病历迁移引起的临床笔记上下文差异。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Kurt Miller, Sungrim Moon, Sunyang Fu, Hongfang Liu

引用次数: 0

DiffusionCT: Latent Diffusion Model for CT Image Standardization. DiffusionCT：用于 CT 图像标准化的潜在扩散模型。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Md Selim, Jie Zhang, Michael A Brooks, Ge Wang, Jin Chen

{"title":"DiffusionCT: Latent Diffusion Model for CT Image Standardization.","authors":"Md Selim, Jie Zhang, Michael A Brooks, Ge Wang, Jin Chen","doi":"","DOIUrl":"","url":null,"abstract":"Computed tomography (CT) is one of the modalities for effective lung cancer screening, diagnosis, treatment, and prognosis. The features extracted from CT images are now used to quantify spatial and temporal variations in tumors. However, CT images obtained from various scanners with customized acquisition protocols may introduce considerable variations in texture features, even for the same patient. This presents a fundamental challenge to downstream studies that require consistent and reliable feature analysis. Existing CT image harmonization models rely on GAN-based supervised or semi-supervised learning, with limited performance. This work addresses the issue of CT image harmonization using a new diffusion-based model, named DiffusionCT, to standardize CT images acquired from different vendors and protocols. DiffusionCT operates in the latent space by mapping a latent non-standard distribution into a standard one. DiffusionCT incorporates a U-Net-based encoder-decoder, augmented by a diffusion model integrated into the bottleneck part. The model is designed in two training phases. The encoder-decoder is first trained, without embedding the diffusion model, to learn the latent representation of the input data. The latent diffusion model is then trained in the next training phase while fixing the encoder-decoder. Finally, the decoder synthesizes a standardized image with the transformed latent representation. The experimental results demonstrate a significant improvement in the performance of the standardization task using DiffusionCT.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"624-633"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467444","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

From Free-text Drug Labels to Structured Medication Terminology with BERT and GPT. 使用 BERT 和 GPT，从自由文本药物标签到结构化药物术语。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Duy-Hoa Ngo, Bevan Koopman

{"title":"From Free-text Drug Labels to Structured Medication Terminology with BERT and GPT.","authors":"Duy-Hoa Ngo, Bevan Koopman","doi":"","DOIUrl":"","url":null,"abstract":"We present a method to enrich controlled medication terminology from free-text drug labels. This is important because, while controlled medication terminology capture well-structured medication information, much of the information pertaining to medications is still found in free-text. First, we compared different Named Entity Recognition (NER) models including rule-based, feature-based, deep learning-based models with Transformers as well as ChatGPT, few-shot and fine-tuned GPT-3 to find the most suitable model that accurately extracts medication entities (ingredients, brand, dose, etc.) from free-text. Then, a rule-based Relation Extraction algorithm transforms NER results into a well-structured medication knowledge graph. Finally, a Medication Searching method takes the knowledge graph and matches it to relevant medications in the terminology server. An empirical evaluation on real-world drug labels shows that BERT-CRF was the most effective NER model with F-measure 95%. After performing terms normalization, the Medication Searching achieved an accuracy of 77% for when matching a label to relevant medication in the terminology server. The NER and Medication Searching models could be deployed as a web service capable of accepting free-text queries and returning structured medication information; thus providing a useful means of better managing medications information found in different health systems.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"540-549"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467485","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

Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer's Disease Using Electronic Health Records. 利用电子健康记录识别从轻度认知障碍到阿尔茨海默病的以结果为导向的进展亚型。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Jie Xu, Rui Yin, Yu Huang, Hannah Gao, Yonghui Wu, Jingchuan Guo, Glenn E Smith, Steven T DeKosky, Fei Wang, Yi Guo, Jiang Bian

{"title":"Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer's Disease Using Electronic Health Records.","authors":"Jie Xu, Rui Yin, Yu Huang, Hannah Gao, Yonghui Wu, Jingchuan Guo, Glenn E Smith, Steven T DeKosky, Fei Wang, Yi Guo, Jiang Bian","doi":"","DOIUrl":"","url":null,"abstract":"Alzheimer's disease (AD) is a complex heterogeneous neurodegenerative disease that requires an in-depth understanding of its progression pathways and contributing factors to develop effective risk stratification and prevention strategies. In this study, we proposed an outcome-oriented model to identify progression pathways from mild cognitive impairment (MCI) to AD using electronic health records (EHRs) from the OneFlorida+ Clinical Research Consortium. To achieve this, we employed the long short-term memory (LSTM) network to extract relevant information from the sequential records of each patient. The hierarchical agglomerative clustering was then applied to the learned representation to group patients based on their progression subtypes. Our approach identified multiple progression pathways, each of which represented distinct patterns of disease progression from MCI to AD. These pathways can serve as a valuable resource for researchers to understand the factors influencing AD progression and to develop personalized interventions to delay or prevent the onset of the disease.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"764-773"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785946/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467490","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 Reuse and Redundancies in Respiratory Flowsheet Documentation: Implications for Clinician Documentation Burden. 识别呼吸流程表文档中的重复使用和冗余：对临床医生文档负担的影响。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Jennifer Withall, Mai Tran, Bobby Schroeder, Rachel Lee, Amanda Moy, Syed Mohtashim Abbas Bokhari, Kenrick Cato, Sarah Rossetti

引用次数: 0

Improving physical activity among prostate cancer survivors through a peer-based digital walking program. 通过基于同伴的数字化步行计划，提高前列腺癌幸存者的体育锻炼水平。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Savitha Sangameswaran, Reggie Casanova-Perez, Harsh Patel, David J Cronkite, Ayah Idris, Dori E Rosenberg, Jonathan L Wright, John L Gore, Andrea L Hartzler

{"title":"Improving physical activity among prostate cancer survivors through a peer-based digital walking program.","authors":"Savitha Sangameswaran, Reggie Casanova-Perez, Harsh Patel, David J Cronkite, Ayah Idris, Dori E Rosenberg, Jonathan L Wright, John L Gore, Andrea L Hartzler","doi":"","DOIUrl":"","url":null,"abstract":"Physical activity is important for prostate cancer survivors. Yet survivors face significant barriers to traditional structured exercise programs, limiting engagement and impact. Digital programs that incorporate fitness trackers and peer support via social media have potential to improve the reach and impact of traditional support. Using a digital walking program with prostate cancer survivors, we employed mixed methods to assess program outcomes, engagement, perceived utility, and social influence. After 6 weeks of program use, survivors and loved ones (n=18) significantly increased their average daily step count. Although engagement and perceived utility of using a fitness tracker and interacting with walking buddies was high, social media engagement and utility were limited. Group strategies associated with social influence were driven more by group attraction to the collective task of walking than by interpersonal bonds. Findings demonstrate the feasibility of a digital walking program to improve physical activity and extend the reach of traditional support.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"608-617"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785891/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467500","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

Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach. 将多站点临床笔记标题标准化为 LOINC 文档本体：基于转换器的方法

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Xu Zuo, Yujia Zhou, Jon Duke, George Hripcsak, Nigam Shah, Juan M Banda, Ruth Reeves, Timothy Miller, Lemuel R Waitman, Karthik Natarajan, Hua Xu

{"title":"Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach.","authors":"Xu Zuo, Yujia Zhou, Jon Duke, George Hripcsak, Nigam Shah, Juan M Banda, Ruth Reeves, Timothy Miller, Lemuel R Waitman, Karthik Natarajan, Hua Xu","doi":"","DOIUrl":"","url":null,"abstract":"The types of clinical notes in electronic health records (EHRs) are diverse and it would be great to standardize them to ensure unified data retrieval, exchange, and integration. The LOINC Document Ontology (DO) is a subset of LOINC that is created specifically for naming and describing clinical documents. Despite the efforts of promoting and improving this ontology, how to efficiently deploy it in real-world clinical settings has yet to be explored. In this study we evaluated the utility of LOINC DO by mapping clinical note titles collected from five institutions to the LOINC DO and classifying the mapping into three classes based on semantic similarity between note titles and LOINC DO codes. Additionally, we developed a standardization pipeline that automatically maps clinical note titles from multiple sites to suitable LOINC DO codes, without accessing the content of clinical notes. The pipeline can be initialized with different large language models, and we compared the performances between them. The results showed that our automated pipeline achieved an accuracy of 0.90. By comparing the manual and automated mapping results, we analyzed the coverage of LOINC DO in describing multi-site clinical note titles and summarized the potential scope for extension.","PeriodicalId":72180,"journal":{"name":"AMIA ... Annual Symposium proceedings. AMIA Symposium","volume":"2023 ","pages":"834-843"},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10785935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139467618","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

Text Classification of Cancer Clinical Trial Eligibility Criteria. 癌症临床试验资格标准文本分类》。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2024-01-11 eCollection Date: 2023-01-01

Yumeng Yang, Soumya Jayaraj, Ethan Ludmir, Kirk Roberts

引用次数: 0