Biomedical informatics insights最新文献_第9页

Personalizing Drug Selection Using Advanced Clinical Decision Support. 使用先进的临床决策支持个性化药物选择。

Biomedical informatics insights Pub Date : 2009-06-23 DOI: 10.4137/bii.s2506

John Pestian, Malik Spencer, Pawel Matykiewicz, Kejian Zhang, Alexander A Vinks, Tracy Glauser

引用次数: 19

Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding. 消费者健康信息学的当前挑战:弥合信息获取和信息理解之间的差距。

Biomedical informatics insights Pub Date : 2009-01-01 DOI: 10.4137/bii.s2223

Laurence Alpay, John Verhoef, Bo Xie, Dov Te'eni, J H M Zwetsloot-Schonk

{"title":"Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding.","authors":"Laurence Alpay, John Verhoef, Bo Xie, Dov Te'eni, J H M Zwetsloot-Schonk","doi":"10.4137/bii.s2223","DOIUrl":"https://doi.org/10.4137/bii.s2223","url":null,"abstract":"The number of health-related websites has proliferated over the past few years. Health information consumers confront a myriad of health related resources on the internet that have varying levels of quality and are not always easy to comprehend. There is thus a need to help health information consumers to bridge the gap between access to information and information understanding-i.e. to help consumers understand health related web-based resources so that they can act upon it. At the same time health information consumers are becoming not only more involved in their own health care but also more information technology minded. One way to address this issue is to provide consumers with tailored information that is contextualized and personalized e.g. directly relevant and easily comprehensible to the person's own health situation. This paper presents a current trend in Consumer Health Informatics which focuses on theory-based design and development of contextualized and personalized tools to allow the evolving consumer with varying backgrounds and interests to use online health information efficiently. The proposed approach uses a theoretical framework of communication in order to support the consumer's capacity to understand health-related web-based resources.","PeriodicalId":88397,"journal":{"name":"Biomedical informatics insights","volume":"2 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/bii.s2223","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28945408","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: 66

Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors. 异质性肿瘤统计分析避免陷阱。

Biomedical informatics insights Pub Date : 2009-01-01 DOI: 10.4137/bii.s2222

David E Axelrod, Naomi Miller, Judith-Anne W Chapman

引用次数: 13

HIPAA, HIPAA, Hooray?: Current Challenges and Initiatives in Health Informatics in the United States. HIPAA, HIPAA，万岁?:美国健康信息学的当前挑战和举措。

Biomedical informatics insights Pub Date : 2008-12-03 eCollection Date: 2008-01-01 DOI: 10.4137/bii.s2007

Sanjaya Joshi

{"title":"HIPAA, HIPAA, Hooray?: Current Challenges and Initiatives in Health Informatics in the United States.","authors":"Sanjaya Joshi","doi":"10.4137/bii.s2007","DOIUrl":"https://doi.org/10.4137/bii.s2007","url":null,"abstract":"A review of the current challenges, trends and initiatives around the various regulations as related to Health Informatics in the United States is presented. A summary of the functions in a workflow-based approach organized into the process and compliance for HIPAA, secure email and fax communications interfaces, e-prescriptions and patient safety and the health information technology savings claims versus costs follows: HIPAA compliance is complex; data interoperability and integration remains difficult.Email and faxing is possible with current over-the-shelf technologies within the purview of the HIPAA Security and Privacy rule.Integration of e-prescribing and NPI data is an area where health informatics can make a real difference.Medical errors remain high.There are no real savings yet from the usage of health information technologies; the costs for implementation remain high, and the business model has not evolved to meet the needs.Health Information Technology (Health IT) projects continue to have a significant failure rate; Open Source technologies are a viable alternative both for cost reduction and scalability. A discussion on the macro view of health informatics is also presented within the context of healthcare models and a comparison of the U.S. system against other countries. ","PeriodicalId":88397,"journal":{"name":"Biomedical informatics insights","volume":"1 ","pages":"45-54"},"PeriodicalIF":0.0,"publicationDate":"2008-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/bii.s2007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34680035","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: 2

Planning for Hospital IT Implementation: A New Look at the Business Case. 医院信息技术实施规划：重新审视业务案例。

Biomedical informatics insights Pub Date : 2008-11-28 eCollection Date: 2008-01-01 DOI: 10.4137/bii.s1035

Nir Menachemi, Ebrahim Randeree, Darrell E Burke, Eric W Ford

引用次数: 0

Closing the Loop: Facilitating the Use of Autopsy Information in Medical Decision Making and Managed Care. 闭环：促进在医疗决策和管理保健中使用尸检信息。

Biomedical informatics insights Pub Date : 2008-07-23 eCollection Date: 2008-01-01 DOI: 10.4137/bii.s899

Peter N Nemetz

引用次数: 0

Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB). 人工神经网络早期预测非静脉曲张性上消化道出血(UGIB)患者死亡率。

Biomedical informatics insights Pub Date : 2008-06-24 eCollection Date: 2008-01-01 DOI: 10.4137/bii.s814

Enzo Grossi, Riccardo Marmo, Marco Intraligi, Massimo Buscema

{"title":"Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB).","authors":"Enzo Grossi, Riccardo Marmo, Marco Intraligi, Massimo Buscema","doi":"10.4137/bii.s814","DOIUrl":"https://doi.org/10.4137/bii.s814","url":null,"abstract":"Background: Mortality for non variceal upper gastrointestinal bleeding (UGIB) is clinically relevant in the first 12-24 hours of the onset of haemorrhage and therefore identification of clinical factors predictive of the risk of death before endoscopic examination may allow for early corrective therapeutic intervention.Aim: 1) Identify simple and early clinical variables predictive of the risk of death in patients with non variceal UGIB; 2) assess previsional gain of a predictive model developed with conventional statistics vs. that developed with artificial neural networks (ANNs).Methods and results: Analysis was performed on 807 patients with nonvariceal UGIB (527 males, 280 females), as a part of a multicentre Italian study. The mortality was considered \"bleeding-related\" if occurred within 30 days from the index bleeding episode. A total of 50 independent variables were analysed, 49 of which clinico-anamnestic, all collected prior to endoscopic examination plus the haemoglobin value measured on admission in the emergency department. Death occurred in 42 (5.2%). Conventional statistical techniques (linear discriminant analysis) were compared with ANNs (Twist® system-Semeion) adopting the same result validation protocol with random allocation of the sample in training and testing subsets and subsequent cross-over. ANNs resulted to be significantly more accurate than LDA with an overall accuracy rate near to 90%.Conclusion: Artificial neural networks technology is highly promising in the development of accurate diagnostic tools designed to recognize patients at high risk of death for UGIB.","PeriodicalId":88397,"journal":{"name":"Biomedical informatics insights","volume":"1 ","pages":"7-19"},"PeriodicalIF":0.0,"publicationDate":"2008-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4137/bii.s814","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34680032","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: 7

Experiences from the Architectural Migration of a Joint Replacement Surgery Information System. 关节置换手术信息系统架构迁移的经验。

Biomedical informatics insights Pub Date : 2008-05-20 eCollection Date: 2008-01-01 DOI: 10.4137/bii.s800

Samuli Niiranen, Ari Välimäki, Jari Yli-Hietanen

引用次数: 1