Proceedings of the International Conference on Health Informatics and Medical Application Technology最新文献_第8页

Development and Application of Regional Level Complete Inspection Management Platform 区域级完检管理平台的开发与应用

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2023-01-01 DOI: 10.5220/0011623900003414

Jin Zhao, Guocheng Wang, Daguo Huang, Yue Teng, Yichu Bai, Xudong Gao, Yi Zhou

引用次数: 0

Artificial Intelligence Enabled Healthcare Ecosystem Model: AIEHEM Project 人工智能医疗生态系统模型:AIEHEM项目

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2023-01-01 DOI: 10.5220/0011604300003414

L. Lella, I. Licata, C. Pristipino

引用次数: 0

Predicting Hospital Length of Stay of Patients Leaving the Emergency Department 预测病人离开急诊科的住院时间

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2023-01-01 DOI: 10.5220/0011671700003414

A. Winter, Mattis Hartwig, T. Kirsten

引用次数: 0

Knowledge Graph Based Trustworthy Medical Code Recommendations 基于知识图谱的可信赖医疗规范推荐

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2023-01-01 DOI: 10.5220/0011925700003414

Mutahira Khalid, Asim Abbas, Hassan Sajjad, Hassan Khattak, Tahir Hameed, S. Bukhari

引用次数: 0

An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents 一种易于使用且稳健的临床文本文件差异隐私去识别方法

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-11-02 DOI: 10.48550/arXiv.2211.01147

Yakini Tchouka, Jean-François Couchot, David Laiymani

{"title":"An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents","authors":"Yakini Tchouka, Jean-François Couchot, David Laiymani","doi":"10.48550/arXiv.2211.01147","DOIUrl":"https://doi.org/10.48550/arXiv.2211.01147","url":null,"abstract":"Unstructured textual data is at the heart of healthcare systems. For obvious privacy reasons, these documents are not accessible to researchers as long as they contain personally identifiable information. One way to share this data while respecting the legislative framework (notably GDPR or HIPAA) is, within the medical structures, to de-identify it, i.e. to detect the personal information of a person through a Named Entity Recognition (NER) system and then replacing it to make it very difficult to associate the document with the person. The challenge is having reliable NER and substitution tools without compromising confidentiality and consistency in the document. Most of the conducted research focuses on English medical documents with coarse substitutions by not benefiting from advances in privacy. This paper shows how an efficient and differentially private de-identification approach can be achieved by strengthening the less robust de-identification method and by adapting state-of-the-art differentially private mechanisms for substitution purposes. The result is an approach for de-identifying clinical documents in French language, but also generalizable to other languages and whose robustness is mathematically proven.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"58 1","pages":"94-104"},"PeriodicalIF":0.0,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90704179","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

Digitization of Landmark Training for Topographical Disorientation: Opportunities of Smart Devices and Augmented Reality 地形定向障碍的地标性训练数字化:智能设备和增强现实的机遇

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010980500003123

Tom Lorenz, Mirco Baseniak, L. Münch, Ina Schiering, S. V. Müller

引用次数: 1

Discussion on Comparing Machine Learning Models for Health Outcome Prediction 比较机器学习模型在健康结果预测中的讨论

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010916600003123

Janusz Wojtusiak, Negin Asadzadehzanjani

引用次数: 0

Value-based Consent Model: A Design Thinking Approach for Enabling Informed Consent in Medical Data Research 基于价值的同意模型:在医疗数据研究中实现知情同意的设计思维方法

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010828000003123

Simon Geller, Sebastian Müller, S. Scheider, C. Woopen, S. Meister

{"title":"Value-based Consent Model: A Design Thinking Approach for Enabling Informed Consent in Medical Data Research","authors":"Simon Geller, Sebastian Müller, S. Scheider, C. Woopen, S. Meister","doi":"10.5220/0010828000003123","DOIUrl":"https://doi.org/10.5220/0010828000003123","url":null,"abstract":": Due to new technological innovations, the increase in lifestyle products, and the digitalisation of healthcare the volume of personal health data is constantly growing. However, in order to use, re-use, and link personalised health data and, thus, unlock their potential benefits in health research, the authors of the data need to voluntarily give their informed consent. That is a major challenge to health data research, because the classic informed consent process requires the immense administrative burden to ask for consent, every time personal health data is accessed. In this paper we argue that all alternative consent models that have been developed to tackle this problem, either do not reduce administrative burdens significantly or do not conform to the informed consent ideal. That is why we used the design thinking approach to develop an alternative consent model that we call the value-based consent model . This model has the potential to reduce administrative burdens while empowering research subjects to autonomously translate their values into consent decisions.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"3 1","pages":"81-92"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78175683","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: 3

Learning Embeddings from Free-text Triage Notes using Pretrained Transformer Models 学习嵌入从自由文本分类笔记使用预训练的变压器模型

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0011012800003123

Émilien Arnaud, Mahmoud Elbattah, Maxime Gignon, Gilles Dequen

引用次数: 9

e-Health Services to Support the Perinatal Decision-making Process: An Analysis of Digital Solutions to Create Birth Plans 支持围产期决策过程的电子保健服务:创建生育计划的数字解决方案分析

Proceedings of the International Conference on Health Informatics and Medical Application Technology Pub Date : 2022-01-01 DOI: 10.5220/0010814600003123

Carla V. Leite, A. Almeida

{"title":"e-Health Services to Support the Perinatal Decision-making Process: An Analysis of Digital Solutions to Create Birth Plans","authors":"Carla V. Leite, A. Almeida","doi":"10.5220/0010814600003123","DOIUrl":"https://doi.org/10.5220/0010814600003123","url":null,"abstract":"This research aims to provide an overview of the existent digital solutions for birth plans’ creation, intending to contribute for the advance of e-health services focused on the perinatal decision-making process. Primary data was found through a web search procedure. Better ranked options complying with the following criteria were included: (a) available online and for free; (b) pregnant people as the target audience; (c) labor and/or birth plan creation features; (d) in English. Four online services were found, and a two part study was conducted: a) a non-exhaustive benchmarking-like analysis of webpages where the digital solutions to create birth plans were provided, according to six dimensions; b) followed by a content analysis of the digital solutions, resulting in 13 categories emerging, that were scored according to their occurrence and completeness. “Consent and Information” category had the lowest score, what is considered critical for the full purpose of a birth plan creation; while, “Freedom”, “Ambience and Equipment”, “People”, “Type of birth” and “Pain management” categories achieved the highest scores. Two solutions were considered particularly incomplete. Results show three solutions based on checklists, and one on visual icons. All solutions were based on a delivery approach, not including interactive or audiovisual components.","PeriodicalId":20676,"journal":{"name":"Proceedings of the International Conference on Health Informatics and Medical Application Technology","volume":"10 1","pages":"405-412"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84438662","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