The data produced by such medical monitor devices as ventilators, cardiac monitors in the ICU, arrive in multiple, continuous, rapid, time-varying data streams. Such data can not be stored entirely because of the storage devices limitation and the interference data produced by doctors' or nurses' medical operations and patients' activities. The present ICU systems using a relational database to store and manipulate data only provides the "operator-dependent" way to collect these stream data at fixed time intervals set by doctors. In this way, some important monitor data may be ignored, but some interference data may be collected. So the quality of data management can not meet the needs of doctors' and nurses'. In this paper, after deeply analyzing the features of the stream monitor data in the ICU, we talk about using data stream technology to solve the problem. Before the stream data arriving, doctors will pre-establish some data collecting rules based on patients' illness status such as fixed data collecting time intervals, data alarming range and level, and so on. When the monitor data arriving, they will be analyzed and manipulated by the pre-defining query rules above pre-established. So it can provide a "patient-dependent" way to collect not only the monitor data affixed time intervals when patients in good condition, but also all the monitor data when they are in critically ill situation. Furthermore, in this paper we also provide a way to deal with the interference data produced by monitor devices. Data stream technology can supply a gap in the management of the stream monitor data which is based on a relational database, and improve the quality of the data management in the ICU.
{"title":"A management strategy of monitor data in ICU based on data stream technology","authors":"Yongsheng Tan, Yibing Wang, Hongyan Li","doi":"10.1109/IDEADH.2004.2","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.2","url":null,"abstract":"The data produced by such medical monitor devices as ventilators, cardiac monitors in the ICU, arrive in multiple, continuous, rapid, time-varying data streams. Such data can not be stored entirely because of the storage devices limitation and the interference data produced by doctors' or nurses' medical operations and patients' activities. The present ICU systems using a relational database to store and manipulate data only provides the \"operator-dependent\" way to collect these stream data at fixed time intervals set by doctors. In this way, some important monitor data may be ignored, but some interference data may be collected. So the quality of data management can not meet the needs of doctors' and nurses'. In this paper, after deeply analyzing the features of the stream monitor data in the ICU, we talk about using data stream technology to solve the problem. Before the stream data arriving, doctors will pre-establish some data collecting rules based on patients' illness status such as fixed data collecting time intervals, data alarming range and level, and so on. When the monitor data arriving, they will be analyzed and manipulated by the pre-defining query rules above pre-established. So it can provide a \"patient-dependent\" way to collect not only the monitor data affixed time intervals when patients in good condition, but also all the monitor data when they are in critically ill situation. Furthermore, in this paper we also provide a way to deal with the interference data produced by monitor devices. Data stream technology can supply a gap in the management of the stream monitor data which is based on a relational database, and improve the quality of the data management in the ICU.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130531743","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 many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a clinical reasoning knowledge warehouse that combines theories and models from artificial intelligence, knowledge management systems and business intelligence to make context based, patient case specific analysis and knowledge management. The knowledge base integrates three sources of information that supports clinical reasoning: general information, guidelines and health records. New generalized knowledge is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion level, reasoning participants can express their argument based opinions about a patient case, thereby enhancing the knowledge about the state of and plans for the patient. An opinion language that supports expressing a possible imprecise/uncertain opinion based on imprecise/uncertain/incomplete arguments is introduced. Finally, case based reasoning is used for retrieving similar patient cases and adapt the opinions in the current case.
{"title":"A framework for a clinical reasoning knowledge warehouse","authors":"Klaus Vilstrup Pedersen","doi":"10.1109/IDEADH.2004.1","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.1","url":null,"abstract":"In many areas of the medical domain, the decision process i.e. reasoning, involving health care professionals is distributed, cooperative and complex. This paper presents a framework for a clinical reasoning knowledge warehouse that combines theories and models from artificial intelligence, knowledge management systems and business intelligence to make context based, patient case specific analysis and knowledge management. The knowledge base integrates three sources of information that supports clinical reasoning: general information, guidelines and health records. New generalized knowledge is stored and made accessible when relevant to the reasoning context and the specific patient case. Furthermore, the information structure supports the creation of new generalized knowledge using data mining tools. The patient case is divided into an observation level and an opinion level. At the opinion level, reasoning participants can express their argument based opinions about a patient case, thereby enhancing the knowledge about the state of and plans for the patient. An opinion language that supports expressing a possible imprecise/uncertain opinion based on imprecise/uncertain/incomplete arguments is introduced. Finally, case based reasoning is used for retrieving similar patient cases and adapt the opinions in the current case.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133189865","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}
A large number of medical images in digital format are generated by hospitals and clinics every day. Such images constitute an important source of anatomical and functional information for diagnosis of diseases, medical research and education. These images include high-resolution 2-D or 3-D spatial and temporal data of various modalities (CT, MRI, X-ray, ultrasound etc.) require effective processing and organization techniques. Two of the most important techniques along this direction are; image retrieval and image registration. Image retrieval is the technique to find similar images from an image archive by their textual and visual contents and image registration is the establishment of correspondences between images or between image and physical space. Characteristics of medical images differ significantly from other general-purpose images and hence require special treatment. This article presents a highlight of recent research in medical image retrieval and registration, main techniques and trends, key issues and limitations. We also point out some promising research directions and propose a system architecture for computer aided diagnosis, where both technologies can be integrated and complement each other.
{"title":"Medical image retrieval and registration: towards computer assisted diagnostic approach","authors":"Md. Mahmudur Rahman, Tongyuan Wang, B. Desai","doi":"10.1109/IDEADH.2004.17","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.17","url":null,"abstract":"A large number of medical images in digital format are generated by hospitals and clinics every day. Such images constitute an important source of anatomical and functional information for diagnosis of diseases, medical research and education. These images include high-resolution 2-D or 3-D spatial and temporal data of various modalities (CT, MRI, X-ray, ultrasound etc.) require effective processing and organization techniques. Two of the most important techniques along this direction are; image retrieval and image registration. Image retrieval is the technique to find similar images from an image archive by their textual and visual contents and image registration is the establishment of correspondences between images or between image and physical space. Characteristics of medical images differ significantly from other general-purpose images and hence require special treatment. This article presents a highlight of recent research in medical image retrieval and registration, main techniques and trends, key issues and limitations. We also point out some promising research directions and propose a system architecture for computer aided diagnosis, where both technologies can be integrated and complement each other.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126509479","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}
X. Urtubey, F. Uminsky, M. Petrich, R. Zadra, P. Felgaer, P. Orezzoli, C. Muñante
The "Agenda for the Connectivity in the Americas" defines health as an area of greatest importance to society; simultaneously ICT are seen by major telehealth players as means and tools for human health development. It is then extremely important not only to give access to connectivity to isolated areas, but also to integrate local health actors in each project. This integration is planed in all E-lLnk Americas Health Project's development steps: from evaluation of the user's needs, coordination of the activities and results evaluation. This paper describes the effort to start simultaneously telehealth pilot project in four Central American countries in isolated areas and the development, with local leaders decisive participation, of a eHealth cooperative platform's prototype based on the health needs study's results. These actions merged in a workshop which aimed to the complete integration of local players in the prototype development as well in the pilot's first phase's planning.
{"title":"Integrating remote health actors to an e-health intuitive cooperation platform development","authors":"X. Urtubey, F. Uminsky, M. Petrich, R. Zadra, P. Felgaer, P. Orezzoli, C. Muñante","doi":"10.1109/IDEADH.2004.13","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.13","url":null,"abstract":"The \"Agenda for the Connectivity in the Americas\" defines health as an area of greatest importance to society; simultaneously ICT are seen by major telehealth players as means and tools for human health development. It is then extremely important not only to give access to connectivity to isolated areas, but also to integrate local health actors in each project. This integration is planed in all E-lLnk Americas Health Project's development steps: from evaluation of the user's needs, coordination of the activities and results evaluation. This paper describes the effort to start simultaneously telehealth pilot project in four Central American countries in isolated areas and the development, with local leaders decisive participation, of a eHealth cooperative platform's prototype based on the health needs study's results. These actions merged in a workshop which aimed to the complete integration of local players in the prototype development as well in the pilot's first phase's planning.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123721967","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}
S. Amendolia, F. Estrella, R. McClatchey, D. Rogulin, T. Solomonides
Medical conditions such as breast cancer, and mammograms as images, are extremely complex with many degrees of variability across the population. An effective solution for the management of disparate mammogram data sources that provides sufficient statistics for complex epidemiological study is a federation of autonomous multi-centre sites which transcends national boundaries. Grid-based technologies are emerging as open-source standards-based solutions for managing and collaborating distributed resources. In the light of these new computing solutions, the MammoGrid project, as one example of a HealthGrid, is developing a Grid-aware medical application which manages a European-wide database of mammograms. The MammoGrid solution utilizes the grid technologies in seamlessly integrating distributed data sets and is investigating the potential of the Grid to support effective co-working among mammogram analysts throughout the EU.
{"title":"Managing Pan-European mammography images and data using a service oriented architecture","authors":"S. Amendolia, F. Estrella, R. McClatchey, D. Rogulin, T. Solomonides","doi":"10.1109/IDEADH.2004.16","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.16","url":null,"abstract":"Medical conditions such as breast cancer, and mammograms as images, are extremely complex with many degrees of variability across the population. An effective solution for the management of disparate mammogram data sources that provides sufficient statistics for complex epidemiological study is a federation of autonomous multi-centre sites which transcends national boundaries. Grid-based technologies are emerging as open-source standards-based solutions for managing and collaborating distributed resources. In the light of these new computing solutions, the MammoGrid project, as one example of a HealthGrid, is developing a Grid-aware medical application which manages a European-wide database of mammograms. The MammoGrid solution utilizes the grid technologies in seamlessly integrating distributed data sets and is investigating the potential of the Grid to support effective co-working among mammogram analysts throughout the EU.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040545","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}
A Web-based and integrated hospital information system (WIHIS), is presented in this paper. WIHIS is a three-tier Web-based system and focuses on medical information instead of financial affairs. It is integrated with workflow engine to automatize the management and supervising of medical business process as well as rule engine to separate business rules from program code. It could use XML as integration media and adopt a top-down integration strategy to integrate heterogeneous electronic medical records distributed in different sources.
{"title":"A Web-based and integrated hospital information system","authors":"Hongyan Li, Ming Xue, Ying Ying","doi":"10.1109/IDEADH.2004.4","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.4","url":null,"abstract":"A Web-based and integrated hospital information system (WIHIS), is presented in this paper. WIHIS is a three-tier Web-based system and focuses on medical information instead of financial affairs. It is integrated with workflow engine to automatize the management and supervising of medical business process as well as rule engine to separate business rules from program code. It could use XML as integration media and adopt a top-down integration strategy to integrate heterogeneous electronic medical records distributed in different sources.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122185612","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 the modern Intensive Care Unit, the high quality management of the patients' data produced by the medical devices is seriously important for improving the treating quality. Besides, since the data in ICU is often multiple, continuous, rapid and time-varying, a data stream processing module should be used to manage, store and display the patient data. ICUIS, a J2EE based ICU information system, imports rule mechanism as well as data stream processor to automatically manage the patient data, and can not only gather the sampling data to record the daily condition of a patient, but also send out an alarm according to the rule when an exceptional data occurs. This paper introduces the rule model, representing language, state conversion and processing flow in the system. ICUIS is different from the other systems because of its following characteristics: rule based intellectualized monitoring and alarming, powerful data stream management, patient-dependent information managements, and the expansibility and adaptability supported by J2EE platform and component-based architecture.
{"title":"ICUIS: a rule-based intelligent ICU information system","authors":"Yu Fan, Hongyan Li","doi":"10.1109/IDEADH.2004.12","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.12","url":null,"abstract":"In the modern Intensive Care Unit, the high quality management of the patients' data produced by the medical devices is seriously important for improving the treating quality. Besides, since the data in ICU is often multiple, continuous, rapid and time-varying, a data stream processing module should be used to manage, store and display the patient data. ICUIS, a J2EE based ICU information system, imports rule mechanism as well as data stream processor to automatically manage the patient data, and can not only gather the sampling data to record the daily condition of a patient, but also send out an alarm according to the rule when an exceptional data occurs. This paper introduces the rule model, representing language, state conversion and processing flow in the system. ICUIS is different from the other systems because of its following characteristics: rule based intellectualized monitoring and alarming, powerful data stream management, patient-dependent information managements, and the expansibility and adaptability supported by J2EE platform and component-based architecture.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125691896","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}
Although a half-world apart, the United States and the People's Republic of China share many of the same challenges in the delivery of health care to their citizens. Both healthcare systems suffer from inefficiencies, ever-increasing costs, and inequities in access to care. Public health surveillance and response are challenges for both countries, individually and in dealing with global outbreaks. The governments of both countries are taking actions to address their nations' healthcare problems, and they see information technology as a remedy for their healthcare ills - in particular, advanced networking, Electronic health record systems, and mobile computing devices. However, a number of challenges must be met before pervasive, quality health care enabled through technology can be realized. Meeting these challenges presents a good opportunity for China and the U.S. to work together toward effective IT solutions.
{"title":"East meets west to cure healthcare ills using information technology","authors":"D. Baker","doi":"10.1109/IDEADH.2004.9","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.9","url":null,"abstract":"Although a half-world apart, the United States and the People's Republic of China share many of the same challenges in the delivery of health care to their citizens. Both healthcare systems suffer from inefficiencies, ever-increasing costs, and inequities in access to care. Public health surveillance and response are challenges for both countries, individually and in dealing with global outbreaks. The governments of both countries are taking actions to address their nations' healthcare problems, and they see information technology as a remedy for their healthcare ills - in particular, advanced networking, Electronic health record systems, and mobile computing devices. However, a number of challenges must be met before pervasive, quality health care enabled through technology can be realized. Meeting these challenges presents a good opportunity for China and the U.S. to work together toward effective IT solutions.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125233054","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}
Conceptualizing distributed healthcare information system is an important step toward the enhancement of clinical decision support system. In this paper, we propose a semantic mediation of Web services interfaces for distributed healthcare system. Our proposal is an approach based on Web services technology and their mediation in a peer to peer environment. This approach constitutes the foundation for the set-up of a mediation framework built around the JXTA P2P architecture applied to cardiology domain in collaboration with the National Institute of Health and Medical Research (INSER ERM107). To achieve our goal, we used the OWL-S language as a means of describing semantics of Web services interfaces and the JXTA distributed architecture.
{"title":"A mediation framework for Web services in a distributed healthcare information system","authors":"M. Mrissa, D. Benslimane, C. Ghedira, Z. Maamar","doi":"10.1109/IDEADH.2004.3","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.3","url":null,"abstract":"Conceptualizing distributed healthcare information system is an important step toward the enhancement of clinical decision support system. In this paper, we propose a semantic mediation of Web services interfaces for distributed healthcare system. Our proposal is an approach based on Web services technology and their mediation in a peer to peer environment. This approach constitutes the foundation for the set-up of a mediation framework built around the JXTA P2P architecture applied to cardiology domain in collaboration with the National Institute of Health and Medical Research (INSER ERM107). To achieve our goal, we used the OWL-S language as a means of describing semantics of Web services interfaces and the JXTA distributed architecture.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122946194","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}
A. Simonet, M. Simonet, C. Bassolet, S. Ferriol, C. Gueydan, R. Patriarche, H.J. Yu, P. Hao, Y. Liu, W. Zhang, N. Chen, M. Forêt, P. Gaudin, M. Ben Said, D. Guillon, P. Landais
Most countries face today a growing burden of chronical diseases. In France the multi-source information system MSIS/spl I.bar/REIN has been built to collect and analyse epidemiological data about end-stage renal diseases, dialysis and kidney transplant. It enables a better knowledge of the demand and of the needs for care. This system is patient-centred and based on a regional organization. With the support of the European Commission, the actors of the French experiment are setting up a similar system in Shanghai, albeit fully adapted to Chinese medical needs and administrative context. The design and the implementation of the system, named Gennere, have put emphasis on its genericity in order to enable the system to be easily adapted to other chronic diseases and/or other countries. The first experiment deals with two fields: nephrology and rheumatology.
{"title":"Genericity of an epidemiological network for nephrology and rheumatology","authors":"A. Simonet, M. Simonet, C. Bassolet, S. Ferriol, C. Gueydan, R. Patriarche, H.J. Yu, P. Hao, Y. Liu, W. Zhang, N. Chen, M. Forêt, P. Gaudin, M. Ben Said, D. Guillon, P. Landais","doi":"10.1109/IDEADH.2004.11","DOIUrl":"https://doi.org/10.1109/IDEADH.2004.11","url":null,"abstract":"Most countries face today a growing burden of chronical diseases. In France the multi-source information system MSIS/spl I.bar/REIN has been built to collect and analyse epidemiological data about end-stage renal diseases, dialysis and kidney transplant. It enables a better knowledge of the demand and of the needs for care. This system is patient-centred and based on a regional organization. With the support of the European Commission, the actors of the French experiment are setting up a similar system in Shanghai, albeit fully adapted to Chinese medical needs and administrative context. The design and the implementation of the system, named Gennere, have put emphasis on its genericity in order to enable the system to be easily adapted to other chronic diseases and/or other countries. The first experiment deals with two fields: nephrology and rheumatology.","PeriodicalId":176711,"journal":{"name":"2004 IDEAS Workshop on Medical Information Systems: The Digital Hospital (IDEAS-DH'04)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2004-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115019038","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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