An integrated platform can be used to support the analysis of gene expression data. In principle, this platform should provide support for accessibility, reproducibility and transparency in order to facilitate its use. However, this support varies among different platforms. SemanticSCo consists of an integrated platform that allows the development of a gene expression analysis workflow based on the semiautomatic composition of semantic web services. SemanticSCo provides limited support for accessibility. Further, the platform lacks support for reproducibility and transparency. This paper describes how accessibility was improved and how reproducibility and transparency were introduced into a new version of the platform, called SemanticSCo Web. These improvements facilitate the development, execution and sharing of gene expression analysis workflows.
{"title":"Support for Accessibility, Reproducibility and Transparency in a Service-Oriented Gene Expression Analysis Platform","authors":"Wilson Daniel da Silva, C. D. Farias","doi":"10.1109/CBMS.2019.00098","DOIUrl":"https://doi.org/10.1109/CBMS.2019.00098","url":null,"abstract":"An integrated platform can be used to support the analysis of gene expression data. In principle, this platform should provide support for accessibility, reproducibility and transparency in order to facilitate its use. However, this support varies among different platforms. SemanticSCo consists of an integrated platform that allows the development of a gene expression analysis workflow based on the semiautomatic composition of semantic web services. SemanticSCo provides limited support for accessibility. Further, the platform lacks support for reproducibility and transparency. This paper describes how accessibility was improved and how reproducibility and transparency were introduced into a new version of the platform, called SemanticSCo Web. These improvements facilitate the development, execution and sharing of gene expression analysis workflows.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"254 1","pages":"477-482"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74935929","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}
P. Pognonec, M. Barlaud, B. Wattellier, T. Pourcher, Yuxiang Zhou, Sherazade Aknoun, M. Yonnet, M. Antonini
{"title":"Non Invasive Live Cell Cycle Monitoring using Quantitative Phase Imaging and Proximal Machine Learning Methods","authors":"P. Pognonec, M. Barlaud, B. Wattellier, T. Pourcher, Yuxiang Zhou, Sherazade Aknoun, M. Yonnet, M. Antonini","doi":"10.1109/CBMS.2019.00099","DOIUrl":"https://doi.org/10.1109/CBMS.2019.00099","url":null,"abstract":"","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"4 1","pages":"483-488"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76032297","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}
In this paper we propose a recognition system of medical concepts from free text clinical reports. Our approach tries to recognize also concepts which are named with local terminology, with medical writing scripts, short words, abbreviations and even spelling mistakes. We consider a clinical terminology ontology (Snomed-CT), as a dictionary of concepts. In a first step we obtain an embedding model using word2vec methodology from a big corpus database of clinical reports. Word vectors are positioned in the vector space such that words that share common contexts in the corpus are located in close proximity to one another in the space, and so the geometrical similarity can be considered a measure of semantic relation. We have considered 615513 emergency clinical reports from the Hospital "Rafael Mendez" in Lorca, Murcia. In these reports there are a lot of local language of the emergency domain, medical writing scripts, short words, abbreviations and even spelling mistakes. With the model obtained we represent the words and sentences as vectors, and by applying cosine similarity we identify which concepts of the ontology are named in the text. Finally, we represent the clinical reports (EHR) like a bag of concepts, and use this representation to search similar documents. The paper illustrates 1) how we build the word2vec model from the free text clinical reports, 2) How we extend the embedding from words to sentences, and 3) how we use the cosine similarity to identify concepts. The experimentation, and expert human validation, shows that: a) the concepts named in the text with the ontology terminology are well recognized, and b) others concepts that are not named with the ontology terminology are also recognized, obtaining a high precision and recall measures.
{"title":"STMC: Semantic Tag Medical Concept Using Word2Vec Representation","authors":"I. M. Soriano, J. Castro","doi":"10.1109/CBMS.2018.00075","DOIUrl":"https://doi.org/10.1109/CBMS.2018.00075","url":null,"abstract":"In this paper we propose a recognition system of medical concepts from free text clinical reports. Our approach tries to recognize also concepts which are named with local terminology, with medical writing scripts, short words, abbreviations and even spelling mistakes. We consider a clinical terminology ontology (Snomed-CT), as a dictionary of concepts. In a first step we obtain an embedding model using word2vec methodology from a big corpus database of clinical reports. Word vectors are positioned in the vector space such that words that share common contexts in the corpus are located in close proximity to one another in the space, and so the geometrical similarity can be considered a measure of semantic relation. We have considered 615513 emergency clinical reports from the Hospital \"Rafael Mendez\" in Lorca, Murcia. In these reports there are a lot of local language of the emergency domain, medical writing scripts, short words, abbreviations and even spelling mistakes. With the model obtained we represent the words and sentences as vectors, and by applying cosine similarity we identify which concepts of the ontology are named in the text. Finally, we represent the clinical reports (EHR) like a bag of concepts, and use this representation to search similar documents. The paper illustrates 1) how we build the word2vec model from the free text clinical reports, 2) How we extend the embedding from words to sentences, and 3) how we use the cosine similarity to identify concepts. The experimentation, and expert human validation, shows that: a) the concepts named in the text with the ontology terminology are well recognized, and b) others concepts that are not named with the ontology terminology are also recognized, obtaining a high precision and recall measures.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"32 1","pages":"393-398"},"PeriodicalIF":0.0,"publicationDate":"2018-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87924068","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}
D. F. Carvalho, José Antonio Camacho Guerrero, A. Uscamayta, H. Vale, H. Oliveira
Cancer is one type of lethal disease that needs an immediate diagnosis and treatment, demanding the use of advanced technologies. External Radiotherapy is the most common treatment used in the world. Radiotherapy Planning Systems (RTPS) is a software suite used for delineation of organs and calculation of irradiation doses and is essential to ensure the accuracy of oncologic treatment in clinics and hospitals. This works presents a type of RTPS, named SIPRAD, developed for public hospitals reality in Brazil with the assistance of the doctors. SIPRAD architecture uses a number of management and operational tools for all radiotherapy treatment process. One of the main contributions of this work is its interoperable infrastructure capable of communicating with all health systems and devices. Another contribution is a drawing tool, which is able to perform an automatic contour delineation in organs at risk and tumors volumes. Additionally also extends the use of tomography slices in grayscale images applied in three plans: axial, coronal and sagittal. SIPRAD automatic contour delineation saves up 75% of the time for drawings in three different types of regions body exams. Finally, SIPRAD was tested in a set of oncologic exams provided by the University of Sao Paulo Clinical Hospital (HCRP and HC-USP) in Brazil obtained from patients with different conditions of ethnology, ages, tumor severities and body regions.
{"title":"SIPRAD: A Radiotherapy Planning System (RTPS)","authors":"D. F. Carvalho, José Antonio Camacho Guerrero, A. Uscamayta, H. Vale, H. Oliveira","doi":"10.1109/CBMS.2018.00081","DOIUrl":"https://doi.org/10.1109/CBMS.2018.00081","url":null,"abstract":"Cancer is one type of lethal disease that needs an immediate diagnosis and treatment, demanding the use of advanced technologies. External Radiotherapy is the most common treatment used in the world. Radiotherapy Planning Systems (RTPS) is a software suite used for delineation of organs and calculation of irradiation doses and is essential to ensure the accuracy of oncologic treatment in clinics and hospitals. This works presents a type of RTPS, named SIPRAD, developed for public hospitals reality in Brazil with the assistance of the doctors. SIPRAD architecture uses a number of management and operational tools for all radiotherapy treatment process. One of the main contributions of this work is its interoperable infrastructure capable of communicating with all health systems and devices. Another contribution is a drawing tool, which is able to perform an automatic contour delineation in organs at risk and tumors volumes. Additionally also extends the use of tomography slices in grayscale images applied in three plans: axial, coronal and sagittal. SIPRAD automatic contour delineation saves up 75% of the time for drawings in three different types of regions body exams. Finally, SIPRAD was tested in a set of oncologic exams provided by the University of Sao Paulo Clinical Hospital (HCRP and HC-USP) in Brazil obtained from patients with different conditions of ethnology, ages, tumor severities and body regions.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"119 1","pages":"428-433"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77454337","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}
Post-traumatic emotional disorder event is a major cause of slow rehabilitation worldwide. The present study investigates the effects of emotional sound stimulation at different groups of subjects with TBI. At the base of our research strategy, we had used a group with diffuse axonal injury (DAI). We collected three groups of patients: 45 healthy adults, 20 patients with severe TBI and 19 patients with moderate TBI. Neurophysiology trials aim was to determine the processes that accompany emotional changes within traumatic brain damage. We analysed emotional EEG response for crying and laughter in patients with severe TBI, patients with moderate TBI and healthy volunteers. We used FFT analyses to quantify highfrequency HRV and average heart rate. Our results showed that patient with TBI showed higher response to crying compared to laughter, accompanied by slow-wave activity in the right temporal area and higher heart rate variability.
{"title":"Laugh and Crying Perception in Patients with Severe and Moderate TBI Using FFT Analysis","authors":"G. Portnova, K. Gladun","doi":"10.1109/CBMS.2017.11","DOIUrl":"https://doi.org/10.1109/CBMS.2017.11","url":null,"abstract":"Post-traumatic emotional disorder event is a major cause of slow rehabilitation worldwide. The present study investigates the effects of emotional sound stimulation at different groups of subjects with TBI. At the base of our research strategy, we had used a group with diffuse axonal injury (DAI). We collected three groups of patients: 45 healthy adults, 20 patients with severe TBI and 19 patients with moderate TBI. Neurophysiology trials aim was to determine the processes that accompany emotional changes within traumatic brain damage. We analysed emotional EEG response for crying and laughter in patients with severe TBI, patients with moderate TBI and healthy volunteers. We used FFT analyses to quantify highfrequency HRV and average heart rate. Our results showed that patient with TBI showed higher response to crying compared to laughter, accompanied by slow-wave activity in the right temporal area and higher heart rate variability.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"16 1","pages":"123-126"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73223742","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 : 2017-06-01Epub Date: 2017-11-13DOI: 10.1109/CBMS.2017.161
Prasanth Ganesan, Kristina E Shillieto, Behnaz Ghoraani
Cardiac simulations play an important role in studies involving understanding and investigating the mechanisms of cardiac arrhythmias. Today, studies of arrhythmogenesis and maintenance are largely being performed by creating simulations of a particular arrhythmia with high accuracy comparable to the results of clinical experiments. Atrial fibrillation (AF), the most common arrhythmia in the United States and many other parts of the world, is one of the major field where simulation and modeling is largely used. AF simulations not only assist in understanding its mechanisms but also help to develop, evaluate and improve the computer algorithms used in electrophysiology (EP) systems for ablation therapies. In this paper, we begin with a brief overeview of some common techniques used in simulations to simulate two major AF mechanisms - spiral waves (or rotors) and point (or focal) sources. We particularly focus on 2D simulations using Nygren et al.'s mathematical model of human atrial cell. Then, we elucidate an application of the developed AF simulation to an algorithm designed for localizing AF rotors for improving current AF ablation therapies. Our simulation methods and results, along with the other discussions presented in this paper is aimed to provide engineers and professionals with a working-knowledge of application-specific simulations of spirals and foci.
{"title":"Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization.","authors":"Prasanth Ganesan, Kristina E Shillieto, Behnaz Ghoraani","doi":"10.1109/CBMS.2017.161","DOIUrl":"https://doi.org/10.1109/CBMS.2017.161","url":null,"abstract":"<p><p>Cardiac simulations play an important role in studies involving understanding and investigating the mechanisms of cardiac arrhythmias. Today, studies of arrhythmogenesis and maintenance are largely being performed by creating simulations of a particular arrhythmia with high accuracy comparable to the results of clinical experiments. Atrial fibrillation (AF), the most common arrhythmia in the United States and many other parts of the world, is one of the major field where simulation and modeling is largely used. AF simulations not only assist in understanding its mechanisms but also help to develop, evaluate and improve the computer algorithms used in electrophysiology (EP) systems for ablation therapies. In this paper, we begin with a brief overeview of some common techniques used in simulations to simulate two major AF mechanisms - spiral waves (or rotors) and point (or focal) sources. We particularly focus on 2D simulations using Nygren <i>et al.</i>'s mathematical model of human atrial cell. Then, we elucidate an application of the developed AF simulation to an algorithm designed for localizing AF rotors for improving current AF ablation therapies. Our simulation methods and results, along with the other discussions presented in this paper is aimed to provide engineers and professionals with a working-knowledge of application-specific simulations of spirals and foci.</p>","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"2017 ","pages":"379-384"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/CBMS.2017.161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35986269","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}
This study performs an Affinity Analysis ondiagnosis and prescription data in order to discover cooccurrencerelationships among diagnosis and pharmaceuticalactive ingredients prescribed to different patient groups. Theanalysis data collected during consecutive visits of 4,473 patients in a 3 years period, focused on patients suffering byhypertension and/or hypercholesterolemia and appliedassociation rule and sequential rule mining techniques. Thefindings have been validated in the specific dataset usingstatistical analysis methods. Association rule mining shows an association between gastrooesophagealreflux and the medicines prescribed forhypertension and heart diseases, which agrees with findings inthe related literature. Another interesting finding, not yet beenreported in related studies is the association between heartdiseases, gastroesophageal reflux and insulin-dependentdiabetes mellitus for patients that have both hypertension andhypercholesterolemia. Apart from the medical findings, which must be subject offurther research we propose a methodology for the analysis ofdata collected from a continuous screening process of a groupof patients. With the use of data mining techniques we are ableto extract and formulate the potential research questions, which are then validated using statistical methods and can alsobe validated in larger population studies.
{"title":"Application of Affinity Analysis Techniques on Diagnosis and Prescription Data","authors":"S. Theodora, Varlamis Iraklis","doi":"10.1109/CBMS.2017.114","DOIUrl":"https://doi.org/10.1109/CBMS.2017.114","url":null,"abstract":"This study performs an Affinity Analysis ondiagnosis and prescription data in order to discover cooccurrencerelationships among diagnosis and pharmaceuticalactive ingredients prescribed to different patient groups. Theanalysis data collected during consecutive visits of 4,473 patients in a 3 years period, focused on patients suffering byhypertension and/or hypercholesterolemia and appliedassociation rule and sequential rule mining techniques. Thefindings have been validated in the specific dataset usingstatistical analysis methods. Association rule mining shows an association between gastrooesophagealreflux and the medicines prescribed forhypertension and heart diseases, which agrees with findings inthe related literature. Another interesting finding, not yet beenreported in related studies is the association between heartdiseases, gastroesophageal reflux and insulin-dependentdiabetes mellitus for patients that have both hypertension andhypercholesterolemia. Apart from the medical findings, which must be subject offurther research we propose a methodology for the analysis ofdata collected from a continuous screening process of a groupof patients. With the use of data mining techniques we are ableto extract and formulate the potential research questions, which are then validated using statistical methods and can alsobe validated in larger population studies.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"42 1","pages":"403-408"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89159670","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}
MicroRNAs (miRNAs) are small non-coding RNA molecules that negatively regulate gene expression, playing critical roles in many relevant biological processes. Since there are no terms of miRNAs annotation in Gene Ontology (GO) nor a database with miRNA functional annotation, the direct computation of functional similarity between miRNAs cannot be done under an established standardized approach. However, a miRNA can be annotated with a set of information, such as if it acts as oncogene or as tumour suppressor, the organism that it belongs, its association with diseases, target genes, proteins and pathological events. This way, the similarity between two miRNAs can be inferred based, for example, in the relative position of their respective target genes in GO. In this study, we propose and evaluate CFSim, a method that uses GO and the disease ontology MeSH to compute miRNAs composed similarity by combining different information related to them. We validated CFSim by examining functional similarity values inferred intra and inter miRNA families, and the results showed that our method is efficient in sense that the functional similarity between miRNAs in the same family was higher compared to other miRNAs from distinct families. Furthermore, in comparison with existing methods for functional similarity, CFSim is more effective in distinguishing miRNA families.
{"title":"A New Ontology-Based Method for Functional Composed Comparison of MicroRNAs","authors":"Mariana Yuri Sasazaki, J. C. Felipe","doi":"10.1109/CBMS.2015.55","DOIUrl":"https://doi.org/10.1109/CBMS.2015.55","url":null,"abstract":"MicroRNAs (miRNAs) are small non-coding RNA molecules that negatively regulate gene expression, playing critical roles in many relevant biological processes. Since there are no terms of miRNAs annotation in Gene Ontology (GO) nor a database with miRNA functional annotation, the direct computation of functional similarity between miRNAs cannot be done under an established standardized approach. However, a miRNA can be annotated with a set of information, such as if it acts as oncogene or as tumour suppressor, the organism that it belongs, its association with diseases, target genes, proteins and pathological events. This way, the similarity between two miRNAs can be inferred based, for example, in the relative position of their respective target genes in GO. In this study, we propose and evaluate CFSim, a method that uses GO and the disease ontology MeSH to compute miRNAs composed similarity by combining different information related to them. We validated CFSim by examining functional similarity values inferred intra and inter miRNA families, and the results showed that our method is efficient in sense that the functional similarity between miRNAs in the same family was higher compared to other miRNAs from distinct families. Furthermore, in comparison with existing methods for functional similarity, CFSim is more effective in distinguishing miRNA families.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"136 1","pages":"258-263"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77461556","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}
Vitor Manuel Fragoso Ferreira, J. Carvalho, R. M. Costa, Vera Werneck
Games applied to health education have emerged as a motivational improvement in learning and clinical performance of students from the health care area. Currently, there are several agent oriented methodologies that support the multi-agent systems development. However none are specific to the domain of medical and health education. Agent-oriented development of medical educational games must have special features such working with a multidisciplinary team, have a high degree of user involvement and allow a mutuality of game requirements. Within this context, this paper presents the development of MEDEDUC, an educational systems technology applying agile development through the AGILE-PASSI methodology. This game, which has five levels of difficulty, allows the student to study pulmonology answering questions that explore multimedia presentations. The results of this study stressed the advantages of the agile development methodology game that combines medical theory and multi-agent.
{"title":"Developing an Educational Medical Game Using AgilePASSI Multi-agent Methodology","authors":"Vitor Manuel Fragoso Ferreira, J. Carvalho, R. M. Costa, Vera Werneck","doi":"10.1109/CBMS.2015.81","DOIUrl":"https://doi.org/10.1109/CBMS.2015.81","url":null,"abstract":"Games applied to health education have emerged as a motivational improvement in learning and clinical performance of students from the health care area. Currently, there are several agent oriented methodologies that support the multi-agent systems development. However none are specific to the domain of medical and health education. Agent-oriented development of medical educational games must have special features such working with a multidisciplinary team, have a high degree of user involvement and allow a mutuality of game requirements. Within this context, this paper presents the development of MEDEDUC, an educational systems technology applying agile development through the AGILE-PASSI methodology. This game, which has five levels of difficulty, allows the student to study pulmonology answering questions that explore multimedia presentations. The results of this study stressed the advantages of the agile development methodology game that combines medical theory and multi-agent.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"22 1","pages":"298-303"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78780530","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}
Z. Reis, J. Gaspar, A. C. Souza, M. S. Junior, Thais Abreu Maia, M. R. Santos
The Obstetric Inpatient Discharge Summary is a document considered essential in the complex care network for health care continuity. AIMS: The study proposes a model for the transmission of clinical information contained in the discharge summary with the aim of exchanging the information between electronic systems and defining standards, allowing the testing of obstetric records interoperability, referring, in particular, to births. METHODS: Information was modeled using the methodology for developing archetypes proposed in the International Standardization Organization 13606 standard. RESULTS: The electronic document was implemented in a university hospital, and the information was divided into two sections, one containing maternal data and the other neonate(s) information. An Electronic Health Record extract in eXtensible Markup Language, containing structured clinical data, will constitute the vector of transmission system from hospital information to primary care units. CONCLUSION: The model proposed is expected to subsidize information semantic persistence, contributing to health care quality.
{"title":"Electronic Systems Interoperability Study: Based on the Interchange of Hospital Obstetrical Information","authors":"Z. Reis, J. Gaspar, A. C. Souza, M. S. Junior, Thais Abreu Maia, M. R. Santos","doi":"10.1109/CBMS.2015.57","DOIUrl":"https://doi.org/10.1109/CBMS.2015.57","url":null,"abstract":"The Obstetric Inpatient Discharge Summary is a document considered essential in the complex care network for health care continuity. AIMS: The study proposes a model for the transmission of clinical information contained in the discharge summary with the aim of exchanging the information between electronic systems and defining standards, allowing the testing of obstetric records interoperability, referring, in particular, to births. METHODS: Information was modeled using the methodology for developing archetypes proposed in the International Standardization Organization 13606 standard. RESULTS: The electronic document was implemented in a university hospital, and the information was divided into two sections, one containing maternal data and the other neonate(s) information. An Electronic Health Record extract in eXtensible Markup Language, containing structured clinical data, will constitute the vector of transmission system from hospital information to primary care units. CONCLUSION: The model proposed is expected to subsidize information semantic persistence, contributing to health care quality.","PeriodicalId":74567,"journal":{"name":"Proceedings. IEEE International Symposium on Computer-Based Medical Systems","volume":"17 1","pages":"201-204"},"PeriodicalIF":0.0,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88593557","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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