Pub Date : 1900-01-01DOI: 10.3233/978-1-60750-806-9-977
S. K. Andersen
The condition that the Danish universities have been subject to severe changes through the last decade has had huge consequences for management of research at the level of a discipline as Medical Informatics. The presentation pinpoints some of the instruments, which is on top of the management agenda in the new academic reality in Denmark. Performance contracts, organizational structure, general management, research constraints, ranking and performance issues, economy linked to production, ownership, and incitements are issues affecting the way research are done. The issue of effective research management is to navigate in this reality, ensure inspiration and influx from other environments dealing with medical informatics problems, in theory as well as in praxis - and shield the individual researcher from emerging bureaucracy, leaving room for creativity.
{"title":"Medical Informatic Research Management in Academia - the Danish Setting","authors":"S. K. Andersen","doi":"10.3233/978-1-60750-806-9-977","DOIUrl":"https://doi.org/10.3233/978-1-60750-806-9-977","url":null,"abstract":"The condition that the Danish universities have been subject to severe changes through the last decade has had huge consequences for management of research at the level of a discipline as Medical Informatics. The presentation pinpoints some of the instruments, which is on top of the management agenda in the new academic reality in Denmark. Performance contracts, organizational structure, general management, research constraints, ranking and performance issues, economy linked to production, ownership, and incitements are issues affecting the way research are done. The issue of effective research management is to navigate in this reality, ensure inspiration and influx from other environments dealing with medical informatics problems, in theory as well as in praxis - and shield the individual researcher from emerging bureaucracy, leaving room for creativity.","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115172877","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}
Pub Date : 1900-01-01DOI: 10.1007/978-3-642-93503-9_157
P. Hammond, L. Aye, J. Kay
{"title":"Linking Medical Data Standards, Knowledge-Based Systems and the technique of Partial Evaluation","authors":"P. Hammond, L. Aye, J. Kay","doi":"10.1007/978-3-642-93503-9_157","DOIUrl":"https://doi.org/10.1007/978-3-642-93503-9_157","url":null,"abstract":"","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"252 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122462424","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}
Pub Date : 1900-01-01DOI: 10.1007/978-3-642-93503-9_87
F. Veiga, M. J. M. D. Barbosa
{"title":"Computerized cephalometry on orthodontic radiographs: towards flexible and easily customized systems","authors":"F. Veiga, M. J. M. D. Barbosa","doi":"10.1007/978-3-642-93503-9_87","DOIUrl":"https://doi.org/10.1007/978-3-642-93503-9_87","url":null,"abstract":"","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116808554","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}
Pub Date : 1900-01-01DOI: 10.3233/978-1-61499-512-8-951
K. Lee, Deok Whan Kim, H. J. Kim, Nam Sik Cho, B. Lee
In hospitals, with doctors’ requests, clinical specimens from patients or from persons doing health checkups are usually sent to the hospital laboratory. However, for more sophisticated tests, the specimens are sent to the reference (or commercial) laboratories. To deliver the specimens to the reference laboratories, the courier system is often utilized. The couriers pick up the specimens from clinics or hospitals, etc along with requisitions of the tests to be done, and they often pick up large numbers of specimens in a short period of time. In such situations, there may not be enough time to input the corresponding data such as patient’s name/id, type of specimen, desired tests, hospital id and courier id against each specimen and sometimes these entries are prone to clerical errors which may lead to serious consequences. To decrease these kinds of errors, we have developed a mobile photographic transmit reception system called “NEMO” which we describe in this manuscript.
{"title":"Clinical specimen receipt system using a mobile smart device","authors":"K. Lee, Deok Whan Kim, H. J. Kim, Nam Sik Cho, B. Lee","doi":"10.3233/978-1-61499-512-8-951","DOIUrl":"https://doi.org/10.3233/978-1-61499-512-8-951","url":null,"abstract":"In hospitals, with doctors’ requests, clinical specimens from patients or from persons doing health checkups are usually sent to the hospital laboratory. However, for more sophisticated tests, the specimens are sent to the reference (or commercial) laboratories. To deliver the specimens to the reference laboratories, the courier system is often utilized. The couriers pick up the specimens from clinics or hospitals, etc along with requisitions of the tests to be done, and they often pick up large numbers of specimens in a short period of time. In such situations, there may not be enough time to input the corresponding data such as patient’s name/id, type of specimen, desired tests, hospital id and courier id against each specimen and sometimes these entries are prone to clerical errors which may lead to serious consequences. To decrease these kinds of errors, we have developed a mobile photographic transmit reception system called “NEMO” which we describe in this manuscript.","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117327441","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}
Pub Date : 1900-01-01DOI: 10.3233/978-1-61499-512-8-950
G. López-Campos, J. Gilabert-Juan, N. Sebastia-Ortega, Rocío González-Martínez, J. Nácher, J. Sanjuán, M. Moltó
Schizophrenia is a severe mental disorder affecting around 1% of the population. This disease presents a complex aetiology that has not been completely unveiled yet. Auditory hallucinations are a very significant and disruptive symptom of schizophrenia affecting between 60% and 80% of schizophrenic patients. In this paper we have used a network-based transcriptomic analysis aiming to identify differences in gene expression between schizophrenic patients with and without auditory hallucinations. Gene expression data from blood samples drained from 30 schizophrenia patients were generated using Affymetrix Human Gene 2.0 ST Genechips. Affymetrix Expression console was used for normalization and quality control purposes. The RMA normalization method was applied for gene summarization and then a filter applied to keep only the most variably expressed probesets (4,508). These dataset was analysed using the weighted gene co-expression network analysis (WGCNA) package in R. The gene co-expression network analyses allowed us to identify eleven different gene modules based on their topological overlap. These modules were related to the relevant phenotypic information and allowing us to identify modules related with different phenotypic traits of interest. Gene co-expression network analysis is a useful tool for the analysis of gene expression analysis. Its application in the analysis of schizophrenia gene expression provides an insight on the molecular mechanisms related with this disease and the differences at the molecular level between patients presenting auditory hallucinations and those that do not. In our analysis we have been able to identify different gene modules containing genes expression profiles that can be related with clinically relevant phenotypes. These gene modules could be functionally annotated and related with different pathways and gene ontology terms that are relevant in the context of this analysis.
精神分裂症是一种严重的精神障碍，影响了大约1%的人口。这种疾病呈现出一种尚未完全揭示的复杂病因学。幻听是精神分裂症非常显著的破坏性症状，影响了60%至80%的精神分裂症患者。在本文中，我们使用了一种基于网络的转录组学分析，旨在确定有幻听和无幻听的精神分裂症患者之间基因表达的差异。使用Affymetrix Human Gene 2.0 ST基因芯片生成30例精神分裂症患者血液样本的基因表达数据。Affymetrix Expression控制台用于规范化和质量控制目的。RMA归一化方法应用于基因汇总，然后应用过滤器只保留变量表达最多的问题集(4,508)。这些数据集使用r中的加权基因共表达网络分析(WGCNA)包进行分析。基因共表达网络分析使我们能够根据它们的拓扑重叠识别出11个不同的基因模块。这些模块与相关表型信息相关，使我们能够识别与感兴趣的不同表型性状相关的模块。基因共表达网络分析是基因表达分析的有效工具。它在精神分裂症基因表达分析中的应用提供了与该疾病相关的分子机制以及出现幻听和没有幻听的患者在分子水平上的差异的见解。在我们的分析中，我们已经能够识别出不同的基因模块，其中包含与临床相关表型相关的基因表达谱。这些基因模块可以进行功能注释，并与本分析上下文相关的不同途径和基因本体术语相关联。
{"title":"Using gene expression and systems biology to interrogate auditory hallucinations in schizophrenic patients","authors":"G. López-Campos, J. Gilabert-Juan, N. Sebastia-Ortega, Rocío González-Martínez, J. Nácher, J. Sanjuán, M. Moltó","doi":"10.3233/978-1-61499-512-8-950","DOIUrl":"https://doi.org/10.3233/978-1-61499-512-8-950","url":null,"abstract":"Schizophrenia is a severe mental disorder affecting around 1% of the population. This disease presents a complex aetiology that has not been completely unveiled yet. Auditory hallucinations are a very significant and disruptive symptom of schizophrenia affecting between 60% and 80% of schizophrenic patients. In this paper we have used a network-based transcriptomic analysis aiming to identify differences in gene expression between schizophrenic patients with and without auditory hallucinations. Gene expression data from blood samples drained from 30 schizophrenia patients were generated using Affymetrix Human Gene 2.0 ST Genechips. Affymetrix Expression console was used for normalization and quality control purposes. The RMA normalization method was applied for gene summarization and then a filter applied to keep only the most variably expressed probesets (4,508). These dataset was analysed using the weighted gene co-expression network analysis (WGCNA) package in R. The gene co-expression network analyses allowed us to identify eleven different gene modules based on their topological overlap. These modules were related to the relevant phenotypic information and allowing us to identify modules related with different phenotypic traits of interest. Gene co-expression network analysis is a useful tool for the analysis of gene expression analysis. Its application in the analysis of schizophrenia gene expression provides an insight on the molecular mechanisms related with this disease and the differences at the molecular level between patients presenting auditory hallucinations and those that do not. In our analysis we have been able to identify different gene modules containing genes expression profiles that can be related with clinically relevant phenotypes. These gene modules could be functionally annotated and related with different pathways and gene ontology terms that are relevant in the context of this analysis.","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129757826","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}
Pub Date : 1900-01-01DOI: 10.3233/978-1-61499-432-9-1270
Sebastian Ahrndt, A. Rieger, E. Eryilmaz, S. Albayrak
This work briefly introduces the evaluation of the agnes zwei app, a mobile electronic patient record system for Android tablets that has been developed as working appliance for agnes zwei nurses. Such nurses are a new form of healthcare professional, working as a doctor’s right hand with a special training in case-management. The app has been evaluated during a three month field test with six participants comprising approximately 2000 working hours and treating 174 patients (mean = 29).
本文简要介绍了agnes zwei app的评价，这是一款针对Android平板电脑开发的移动电子病历系统，是agnes zwei护士的工作器具。这类护士是一种新型的医疗保健专业人员，在病例管理方面受过特殊训练，是医生的得力助手。该应用程序已在为期三个月的现场测试中进行了评估，六名参与者参与了大约2000个工作小时，治疗了174名患者(平均= 29)。
{"title":"Evaluation of a mobile EPR system for a new Healthcare Professional in Germany","authors":"Sebastian Ahrndt, A. Rieger, E. Eryilmaz, S. Albayrak","doi":"10.3233/978-1-61499-432-9-1270","DOIUrl":"https://doi.org/10.3233/978-1-61499-432-9-1270","url":null,"abstract":"This work briefly introduces the evaluation of the agnes zwei app, a mobile electronic patient record system for Android tablets that has been developed as working appliance for agnes zwei nurses. Such nurses are a new form of healthcare professional, working as a doctor’s right hand with a special training in case-management. The app has been evaluated during a three month field test with six participants comprising approximately 2000 working hours and treating 174 patients (mean = 29).","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128694130","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}
Pub Date : 1900-01-01DOI: 10.3233/978-1-61499-512-8-877
J. B. Castro, Alejandro Lamelo Alfonsín, J. P. Cebreiro, Dolores Rimada Mora, L. C. García, G. González
On daily procedures, companies and organizations produce a wide quantity of data. Medical information doubles every five years approximately, and most of this information has no structure and cannot be utilised. Information obtained during Primary Health Care (PC) consultations is expected to be standardized and organised following instructions made by archetype 13606 of the International Organization for Standardization (ISO) in order to guarantee the Continuity of Care as well as the potential use of these data for secondary purposes, such as investigation or statistics. This study was designed to investigate the feasibility of representing the information collected in Primary Care consultations in a structured and normalized way. A key difference to other approaches is that the intended solution is, to the best of our knowledge, the first one to register all the information collected in this area. The participation of the Primary Health Care service (PC) from Complejo Hospitalario Universitario de A Coruna (CHUAC) has been of vital importance in this project as it has provided the necessary clinical knowledge and it has allowed us to verify the effectiveness obtained in actual environments. The archetypes developed can be reused in a wide range of projects. As an example of use, we have used these archetypes to create an intelligent system that generates organised reports based on the information dictated on a medical consultation which, afterwards, can be analysed from an analytical point of view.
{"title":"Development of ISO 13606 archetypes for the standardisation of data registration in the Primary Care environment","authors":"J. B. Castro, Alejandro Lamelo Alfonsín, J. P. Cebreiro, Dolores Rimada Mora, L. C. García, G. González","doi":"10.3233/978-1-61499-512-8-877","DOIUrl":"https://doi.org/10.3233/978-1-61499-512-8-877","url":null,"abstract":"On daily procedures, companies and organizations produce a wide quantity of data. Medical information doubles every five years approximately, and most of this information has no structure and cannot be utilised. Information obtained during Primary Health Care (PC) consultations is expected to be standardized and organised following instructions made by archetype 13606 of the International Organization for Standardization (ISO) in order to guarantee the Continuity of Care as well as the potential use of these data for secondary purposes, such as investigation or statistics. This study was designed to investigate the feasibility of representing the information collected in Primary Care consultations in a structured and normalized way. A key difference to other approaches is that the intended solution is, to the best of our knowledge, the first one to register all the information collected in this area. The participation of the Primary Health Care service (PC) from Complejo Hospitalario Universitario de A Coruna (CHUAC) has been of vital importance in this project as it has provided the necessary clinical knowledge and it has allowed us to verify the effectiveness obtained in actual environments. The archetypes developed can be reused in a wide range of projects. As an example of use, we have used these archetypes to create an intelligent system that generates organised reports based on the information dictated on a medical consultation which, afterwards, can be analysed from an analytical point of view.","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128738128","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}
Pub Date : 1900-01-01DOI: 10.1007/978-3-642-93503-9_53
M. Popper, M. Hauskrecht
{"title":"Declarative and operational in knowledge based systems","authors":"M. Popper, M. Hauskrecht","doi":"10.1007/978-3-642-93503-9_53","DOIUrl":"https://doi.org/10.1007/978-3-642-93503-9_53","url":null,"abstract":"","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126904883","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}
Pub Date : 1900-01-01DOI: 10.3233/978-1-61499-512-8-937
Daniel Firnkorn, M. Gietzelt, C. Karmen, Matthias Ganzinger, P. Knaup-Gregori
Data import and export tools of the biomedical data warehouse system i2b2 (https://www.i2b2.org/) are restricted to its star schema and thus provide little flexibility. This is especially disadvantageous for external analysis with statistic software packages like SPSS or R. Further, data exports are limited to items previously selected within the query tool of i2b2. We present a tool for the case-oriented export of all clinical facts of a selected patient cohort into a CSV file for further analysis.
{"title":"Generic Case Extractor: Extended Export of Clinical Facts from i2b2","authors":"Daniel Firnkorn, M. Gietzelt, C. Karmen, Matthias Ganzinger, P. Knaup-Gregori","doi":"10.3233/978-1-61499-512-8-937","DOIUrl":"https://doi.org/10.3233/978-1-61499-512-8-937","url":null,"abstract":"Data import and export tools of the biomedical data warehouse system i2b2 (https://www.i2b2.org/) are restricted to its star schema and thus provide little flexibility. This is especially disadvantageous for external analysis with statistic software packages like SPSS or R. Further, data exports are limited to items previously selected within the query tool of i2b2. We present a tool for the case-oriented export of all clinical facts of a selected patient cohort into a CSV file for further analysis.","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121492198","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}
Pub Date : 1900-01-01DOI: 10.1007/978-3-642-93503-9_15
Romilly C. Gregory, M. Leaning, J. Summerfield, Jonathon Browne, D. Wilkinson, A. McGrath
{"title":"The FEBE Project: Designing a Clinical Information System","authors":"Romilly C. Gregory, M. Leaning, J. Summerfield, Jonathon Browne, D. Wilkinson, A. McGrath","doi":"10.1007/978-3-642-93503-9_15","DOIUrl":"https://doi.org/10.1007/978-3-642-93503-9_15","url":null,"abstract":"","PeriodicalId":125683,"journal":{"name":"Medical Informatics Europe","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121495093","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}
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