Swiss medical informatics最新文献_第6页

Entscheidungsunterstützung beim Medikamentenprozess: Wie umfangreich sind die hospINDEX - Stammdaten? 对药物进程的决策支持:人口指数的基准数据有多详尽?

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.318

Sascha Karlen, Emmanuel Eschmann, J. Blaser

{"title":"Entscheidungsunterstützung beim Medikamentenprozess: Wie umfangreich sind die hospINDEX - Stammdaten?","authors":"Sascha Karlen, Emmanuel Eschmann, J. Blaser","doi":"10.4414/SMI.30.318","DOIUrl":"https://doi.org/10.4414/SMI.30.318","url":null,"abstract":"Decision-making support for the drug-order process: How comprehensive is the hospINDEX database? Systems for computerized physician order entry (CPOE) are increasingly enhanced by clinical decision support (CDS) functions in order to reduce errors in the medication delivery process. Therefore, up-to-date and quality-approved drug knowledge databases must be available, including data that is semantically structured and coded in machine-readable form. We analyzed the coverage of the CDS data from a commercially available database (hospINDEX) relative to the drugs administered to inpatients at the University Hospital in Zurich (USZ). The most comprehensive data retrieved was related to allergies and incompatibilities, pregnancy and lactation, as well as maximal doses and alerts in the context of renal and hepatic insufficiency, resulting in a coverage of 31.3% for drug orders and 45.3% for drug administrations. Lower coverage was observed for nutrition interactions, dosage adaption for renal insufficiency, and links to doping lists. Data provided on drug-drug-interactions was quite comprehensive; yet owing to its limited specificity, this functionality was primarily used by consulting pharmacologists, but only infrequently by prescribing physicians. The availability of comprehensive, machine-readable CDS data is gaining increasing relevance in advanced and quality-controlled health care services. There is thus room for improvement in Swiss drug knowledge databases, with data for selected functions only available for approximately half of the administered drugs.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123653812","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: 1

A Modern Web Interface for Medical Image Retrieval 医学图像检索的现代Web界面

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00317

Roger Schaer, H. Müller

引用次数: 4

Analyse continue, multicouches et multiparamétriques des diabètes de type 1 et 2 1型和2型糖尿病的连续、多层和多参数分析

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.327

Damien Zufferey, S. Bromuri, M. Schumacher

引用次数: 1

Critical Incident Reporting System - CIRS mobile – record critical incidents on location 关键事件报告系统- CIRS移动-记录关键事件的位置

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/smi.30.00324

D. Stucki, Damian Oberreich

引用次数: 0

Agrégation de données d’un réseau de capteurs physiologiques 生理传感器网络的数据聚合

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.313

Frédéric Ehrler

{"title":"Agrégation de données d’un réseau de capteurs physiologiques","authors":"Frédéric Ehrler","doi":"10.4414/SMI.30.313","DOIUrl":"https://doi.org/10.4414/SMI.30.313","url":null,"abstract":"Physiological sensors network data aggregation Taken independently, the data produced by physiological sensors have many applications. However, only a tight integration of the signals will provide a global comprehension of the health status of an individual. In this article, we share our experience acquired when building a network of physiological sensors connected to the Arduino platform. We have conceived an architecture integrating captors, going from the connection to the manipulation of the produced data. Four key requirements have been identified: On the one hand, to provide a plug and play connectivity, and to communicate the data stream in a coherent way. On the other hand, to aggregate several data streams and to present these streams in a coherent manner. We propose to deal with the connection issue by delegating the responsibility to a remote platform. The data transfer itself will be done based on the existing standards. The automatic data aggregation is possible through a set of rules and algorithms. Finally, the visualisation can be done by associating every signal to a specific visualisation widget. The connection of heterogeneous sensors is a complex task. In this article, we propose a concrete end to end solutions to the main challenges.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121929905","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

Ein Telemedizinsystem für Schwangerschaftsdiabetes 产高血糖的远程手术系统

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00306

Johannes Krampf, Stefano Bromuri, Serban Puricel, Laura Diolosa, Jardena J. Puder, Chantal Montreuil, R. Schumann, Juan Ruiz, Michael Schumacher

{"title":"Ein Telemedizinsystem für Schwangerschaftsdiabetes","authors":"Johannes Krampf, Stefano Bromuri, Serban Puricel, Laura Diolosa, Jardena J. Puder, Chantal Montreuil, R. Schumann, Juan Ruiz, Michael Schumacher","doi":"10.4414/SMI.30.00306","DOIUrl":"https://doi.org/10.4414/SMI.30.00306","url":null,"abstract":"A telemedicine system for gestational diabetes Gestational diabetes is a form of diabetes which affects about 5%-10% of all pregnancies and poses risks to mother and child. Telemedicine systems use telecommunication technologies for medical purposes. A telemedicine system could reduce the time until the medical personnel receives blood sugar measurements from patients as well as the reaction time for adjustments to medical treatments. In this article the possibility of deploying a telemedicine system for gestational diabetes in clinical routine is studied. Existing treatment guidelines have been formalised and the user interaction has been tested using a prototype system. The formalised treatment guidelines were integrated into an expert system. Based on this work a telemedicine system has been created and tested in the scope of a parallel-group, open randomised controlled trial with 24 patients. A qualitative analysis of the study results has been performed. The telemedicine system worked correctly during the study duration. Study participants were satisfied with the provided care. The medical personnel considered telemedicine technology to be appropriate for the care of gestational diabetes patients. The reaction time for treatment adjustment was one to three days instead of one to two weeks.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126902359","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

Dose reduction in computed tomography (CT) by the integration of a dose monitoring system 通过集成剂量监测系统降低计算机断层扫描(CT)中的剂量

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00299

M. Heinrich

引用次数: 1

Using Google Glass to enhance pre-hospital care 使用谷歌Glass加强院前护理

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00316

A. Widmer, Henning Müller

引用次数: 15

Need for CDS to Prevent Too Rapid Injections and Infusions Due to CPOE 需要CDS来防止因CPOE导致的过快注射和输液

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00302

E. Eschmann, Sascha Karlen, L. Perger, M. Schneemann, J. Blaser

引用次数: 0

Crowdsourcing for Medical Image Classification 医学图像分类的众包

Swiss medical informatics Pub Date : 2014-09-27 DOI: 10.4414/SMI.30.00319

A. G. S. D. Herrera, A. Foncubierta-Rodríguez, Dimitrios Markonis, Roger Schaer, H. Müller

{"title":"Crowdsourcing for Medical Image Classification","authors":"A. G. S. D. Herrera, A. Foncubierta-Rodríguez, Dimitrios Markonis, Roger Schaer, H. Müller","doi":"10.4414/SMI.30.00319","DOIUrl":"https://doi.org/10.4414/SMI.30.00319","url":null,"abstract":"To help manage the large amount of biomedical images produced, image information retrieval tools have been developed to help access the right information at the right moment. To provide a test bed for image retrieval evaluation, the ImageCLEFmed benchmark proposes a biomedical classification task that automatically focuses on determining the image modality of figures from biomedical journal articles. In the training data for this machine learning task, some classes have many more images than others and thus a few classes are not well represented, which is a challenge for automatic image classification. To address this problem, an automatic training set expansion was first proposed. To improve the accuracy of the automatic training set expansion, a manual verification of the training set is done using the crowdsourcing platform Crowdflower. This platform allows the use of external persons to pay for the crowdsourcing or to use personal contacts free of charge. Crowdsourcing requires strict quality control or using trusted persons but it can quickly give access to a large number of judges and thus improve many machine learning tasks. Results show that the manual annotation of a large amount of biomedical images carried out in this project can help with image classification.","PeriodicalId":156842,"journal":{"name":"Swiss medical informatics","volume":"12 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651151","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: 26