The Experts below are selected from a list of 3048 Experts worldwide ranked by ideXlab platform
José García - One of the best experts on this subject based on the ideXlab platform.
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Interoperable and standard e-Health solution over bluetooth
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, 2010Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Pilar Del Valle, Pilar Muñoz, Adolfo Muñoz, Javier Escayola, Lenin Serrano, Jesús Daniel Trigo, José GarcíaAbstract:The new paradigm of e-Health demands open sensors and middleware components that permit transparent integration and end-to-end interoperability of new personal health devices. The use of standards seems to be the internationally adopted way to solve these problems. This paper presents the implementation of an end-to-end standards-based e-Health solution. This includes ISO/IEEE11073 standard for the interoperability of the medical devices in the patient environment and EN13606 standard for the interoperable exchange of the Electronic Healthcare Record. The design strictly fulfills all the technical features of the most recent versions of both standards. The implemented prototype has been tested in a laboratory environment to demonstrate its feasibility for its further transfer to the Healthcare system.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Santiago Led, Lenin Serrano, Miguel Galarraga, Paula Toledo De, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution. © The Institution of Engineering and Technology 2008.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, P. De Toledo, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution.
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Implementation experience of a patient monitoring solution based on end-to-end standards
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, P. De Oledo, Javier Escayola, Santiago Led, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:This paper presents a proof-of-concept design of a patient monitoring solution for Intensive Care Unit (ICU). It is end-to-end standards-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an Electronic Healthcare Record (EHR) server. At the bedside end a plug-and-play sensor network is implemented, which communicates with a gateway that collects the medical information and sends it to a monitoring server. At this point the server transforms the data frame into an EN13606 extract, to be stored on the EHR server. The presented system has been tested in a laboratory environment to demonstrate the feasibility of this end-to-end standards-based solution.
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Proposal of an ISO/IEEE11073 platform for Healthcare telemonitoring: Plug-and-play solution with new use cases
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Miguel Galarraga, M. Martinez-Espronceda, E. Viruete, Javier Escayola, Santiago Led, Lenin Serrano, Paula Toledo De, S. Jiménez-fernández, Ignacio Martínez, J Fernandez, José GarcíaAbstract:Remote patient monitoring in e-Health is everyday closer to be a mature technology / service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into Electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of use cases involved in the personal monitoring scenario and highlights the related features and functionalities, as well as the integration and implementation difficulties found when these are to be implemented in a system based on the ISO/IEEE11073 (X73) standard. It is part of a cooperative research effort devoted to the development of an end-to-end standards-based telemonitoring solution. Standardization committees are working towards adapting the X73 standard to this emerging personal health devices market and use case identification is essential to direct these revisions.
P M Coloma - One of the best experts on this subject based on the ideXlab platform.
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the role of electronic Healthcare Record databases in paediatric drug safety surveillance a retrospective cohort study
British Journal of Clinical Pharmacology, 2015Co-Authors: P M Coloma, Mj Schuemie, R. Gini, Gianluca Trifirò, Carmen Ferrajolo, Katia M C Verhamme, Sabine M J M Straus, R HeringsAbstract:textabstractAim Electronic Healthcare Record (EHR)-based surveillance systems are increasingly being developed to support early detection of safety signals. It is unknown what the power of such a system is for surveillance among children and adolescents. In this paper we provide estimates of the number and classes of drugs, and incidence rates (IRs) of events, that can be monitored in children and adolescents (0-18 years). Methods Data were obtained from seven population-based EHR databases in Denmark, Italy, and the Netherlands during the period 1996-2010. We estimated the number of drugs for which specific adverse events can be monitored as a function of actual drug use, minimally detectable relative risk (RR) and IRs for 10 events. Results The population comprised 4 838 146 individuals (25 575 132 person years (PYs)), who were prescribed 2170 drugs (1 610 631 PYs drug-exposure). Half of the total drug-exposure in PYs was covered by only 18 drugs (0.8%). For a relatively frequent event like upper gastrointestinal bleeding there were 39 drugs for which an association with a RR ≥4, if present, could be investigated. The corresponding number of drugs was eight for a rare event like anaphylactic shock. Conclusion Drug use in children is rare and shows little variation. The number of drugs with enough exposure to detect rare adverse events in children and adolescents within an EHR-based surveillance system such as EU-ADR is limited. Use of additional sources of paediatric drug exposure information and global collaboration are imperative in order to optimize EHR data for paediatric safety surveillance.
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a reference standard for evaluation of methods for drug safety signal detection using electronic Healthcare Record databases
Drug Safety, 2013Co-Authors: P M Coloma, Mj Schuemie, Paul Avillach, Francesco Salvo, Carmen Ferrajolo, Antoine Pariente, Annie FourrierreglatAbstract:Background The growing interest in using electronic Healthcare Record (EHR) databases for drug safety surveillance has spurred development of new methodologies for signal detection. Although several drugs have been withdrawn postmarketing by regulatory authorities after scientific evaluation of harms and benefits, there is no definitive list of confirmed signals (i.e. list of all known adverse reactions and which drugs can cause them). As there is no true gold standard, prospective evaluation of signal detection methods remains a challenge.
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A Reference Standard for Evaluation of Methods for Drug Safety Signal Detection Using Electronic Healthcare Record Databases
Drug Safety, 2013Co-Authors: P M Coloma, Mj Schuemie, Paul Avillach, Francesco Salvo, Carmen Ferrajolo, Antoine Pariente, Annie Fourrier-réglat, Mariam Molokhia, Vaishali Patadia, M SturkenboomAbstract:Background The growing interest in using electronic Healthcare Record (EHR) databases for drug safety surveillance has spurred development of new methodologies for signal detection. Although several drugs have been withdrawn postmarketing by regulatory authorities after scientific evaluation of harms and benefits, there is no definitive list of confirmed signals (i.e. list of all known adverse reactions and which drugs can cause them). As there is no true gold standard, prospective evaluation of signal detection methods remains a challenge. Objective Within the context of methods development and evaluation in the EU-ADR Project (Exploring and Understanding Adverse Drug Reactions by integrative mining of clinical Records and biomedical knowledge), we propose a surrogate reference standard of drug-adverse event associations based on existing scientific literature and expert opinion. Methods The reference standard was constructed for ten top-ranked events judged as important in pharmacovigilance. A stepwise approach was employed to identify which, among a list of drug-event associations, are well recognized (known positive associations) or highly unlikely (‘negative controls’) based on MEDLINE-indexed publications, drug product labels, spontaneous reports made to the WHO’s pharmacovigilance database, and expert opinion. Only drugs with adequate exposure in the EU-ADR database network (comprising ≈60 million person-years of Healthcare data) to allow detection of an association were considered. Manual verification of positive associations and negative controls was independently performed by two experts proficient in clinical medicine, pharmacoepidemiology and pharmacovigilance. A third expert adjudicated equivocal cases and arbitrated any disagreement between evaluators. Results Overall, 94 drug-event associations comprised the reference standard, which included 44 positive associations and 50 negative controls for the ten events of interest: bullous eruptions; acute renal failure; anaphylactic shock; acute myocardial infarction; rhabdomyolysis; aplastic anaemia/pancytopenia; neutropenia/agranulocytosis; cardiac valve fibrosis; acute liver injury; and upper gastrointestinal bleeding. For cardiac valve fibrosis, there was no drug with adequate exposure in the database network that satisfied the criteria for a positive association. Conclusion A strategy for the construction of a reference standard to evaluate signal detection methods that use EHR has been proposed. The resulting reference standard is by no means definitive, however, and should be seen as dynamic. As knowledge on drug safety evolves over time and new issues in drug safety arise, this reference standard can be re-evaluated.
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Comparison of methods for drug safety signal detection using electronic Healthcare Record (EHR) databases: The added value of longitudinal, Time-stamped patient information
Pharmacoepidemiology and Drug Safety, 2011Co-Authors: P M Coloma, R Herings, L Pedersen, J Van Der Lei, M Sturkenboom, R. Gini, Giampiero Mazzaglia, Carlo Giaquinto, Gianluca Trifirò, Mj SchuemieAbstract:Background: Spontaneous reporting of suspected adverse drug reactions has been the traditional signaling system in pharmacovigilance. The increased availability of longitudinal Electronic Healthcare Record (EHR) databases offers new opportunities for drug safety signal detection using observational data from daily practice. Objectives: To describe the preliminary results of signal detection using different methods applied to longitudinal EHR data from the EU-ADR Project. Methods: The evaluation dataset consisted of clinical and drug use information from 9,202,393 individuals with 47,881,511 person-years (PYs) of follow-up representing six databases of the EU-ADR network for the period 1995-2010. Disproportionality-based methods (Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Gamma Poisson Shrinker (GPS), Bayesian Confidence Propagation Neural Network (BCPNN)) and exposure-based methods (Cohort and Longitudinal GPS) at varying thresholds were compared using a verification set of true positive (i.e., known 'signals') and true negative drug-event associations for six events considered important in pharmacovigilance. Only the first occurrence of an event in a patient was counted. Data processing was performed in distributed data architecture using custom-built software Jerboa# and statistical analyses were performed in R. Results: Disproportionality-based analyses gave an area under the receiver operating characteristic curve (AUC) of 0.68-0.71, while exposure-based methods gave an AUC of 0.66-0.73. There was variability in the performance of the methods with respect to individual events, suggesting that some methods may be more appropriate for particular event types. Conclusions: Disproportionality-based and exposure-based signal detection methods were broadly comparable when applied to longitudinal data. There appears to be a need to tailor methods to specific adverse event types to improvement method performance.
Miguel Galarraga - One of the best experts on this subject based on the ideXlab platform.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Santiago Led, Lenin Serrano, Miguel Galarraga, Paula Toledo De, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution. © The Institution of Engineering and Technology 2008.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, P. De Toledo, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution.
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Implementation experience of a patient monitoring solution based on end-to-end standards
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, P. De Oledo, Javier Escayola, Santiago Led, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:This paper presents a proof-of-concept design of a patient monitoring solution for Intensive Care Unit (ICU). It is end-to-end standards-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an Electronic Healthcare Record (EHR) server. At the bedside end a plug-and-play sensor network is implemented, which communicates with a gateway that collects the medical information and sends it to a monitoring server. At this point the server transforms the data frame into an EN13606 extract, to be stored on the EHR server. The presented system has been tested in a laboratory environment to demonstrate the feasibility of this end-to-end standards-based solution.
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Proposal of an ISO/IEEE11073 platform for Healthcare telemonitoring: Plug-and-play solution with new use cases
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Miguel Galarraga, M. Martinez-Espronceda, E. Viruete, Javier Escayola, Santiago Led, Lenin Serrano, Paula Toledo De, S. Jiménez-fernández, Ignacio Martínez, J Fernandez, José GarcíaAbstract:Remote patient monitoring in e-Health is everyday closer to be a mature technology / service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into Electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of use cases involved in the personal monitoring scenario and highlights the related features and functionalities, as well as the integration and implementation difficulties found when these are to be implemented in a system based on the ISO/IEEE11073 (X73) standard. It is part of a cooperative research effort devoted to the development of an end-to-end standards-based telemonitoring solution. Standardization committees are working towards adapting the X73 standard to this emerging personal health devices market and use case identification is essential to direct these revisions.
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Proposal of an ISO/IEEE11073 Platform for Healthcare Telemonitoring: Plug-and-Play Solution with new Use Cases
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Co-Authors: Miguel Galarraga, M. Martinez-Espronceda, E. Viruete, Javier Escayola, S. Jiménez-fernández, J Fernandez, P. De Toledo, I. Martinez, L. Serrano, J. GarciaAbstract:Remote patient monitoring in e-Health is everyday closer to be a mature technology/service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of use cases involved in the personal monitoring scenario and highlights the related features and functionalities, as well as the integration and implementation difficulties found when these are to be implemented in a system based on the ISO/IEEE11073 (X73) standard. It is part of a cooperative research effort devoted to the development of an end-to-end standards-based telemonitoring solution. Standardization committees are working towards adapting the X73 standard to this emerging personal health devices market and use case identification is essential to direct these revisions.
Mj Schuemie - One of the best experts on this subject based on the ideXlab platform.
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the role of electronic Healthcare Record databases in paediatric drug safety surveillance a retrospective cohort study
British Journal of Clinical Pharmacology, 2015Co-Authors: P M Coloma, Mj Schuemie, R. Gini, Gianluca Trifirò, Carmen Ferrajolo, Katia M C Verhamme, Sabine M J M Straus, R HeringsAbstract:textabstractAim Electronic Healthcare Record (EHR)-based surveillance systems are increasingly being developed to support early detection of safety signals. It is unknown what the power of such a system is for surveillance among children and adolescents. In this paper we provide estimates of the number and classes of drugs, and incidence rates (IRs) of events, that can be monitored in children and adolescents (0-18 years). Methods Data were obtained from seven population-based EHR databases in Denmark, Italy, and the Netherlands during the period 1996-2010. We estimated the number of drugs for which specific adverse events can be monitored as a function of actual drug use, minimally detectable relative risk (RR) and IRs for 10 events. Results The population comprised 4 838 146 individuals (25 575 132 person years (PYs)), who were prescribed 2170 drugs (1 610 631 PYs drug-exposure). Half of the total drug-exposure in PYs was covered by only 18 drugs (0.8%). For a relatively frequent event like upper gastrointestinal bleeding there were 39 drugs for which an association with a RR ≥4, if present, could be investigated. The corresponding number of drugs was eight for a rare event like anaphylactic shock. Conclusion Drug use in children is rare and shows little variation. The number of drugs with enough exposure to detect rare adverse events in children and adolescents within an EHR-based surveillance system such as EU-ADR is limited. Use of additional sources of paediatric drug exposure information and global collaboration are imperative in order to optimize EHR data for paediatric safety surveillance.
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a reference standard for evaluation of methods for drug safety signal detection using electronic Healthcare Record databases
Drug Safety, 2013Co-Authors: P M Coloma, Mj Schuemie, Paul Avillach, Francesco Salvo, Carmen Ferrajolo, Antoine Pariente, Annie FourrierreglatAbstract:Background The growing interest in using electronic Healthcare Record (EHR) databases for drug safety surveillance has spurred development of new methodologies for signal detection. Although several drugs have been withdrawn postmarketing by regulatory authorities after scientific evaluation of harms and benefits, there is no definitive list of confirmed signals (i.e. list of all known adverse reactions and which drugs can cause them). As there is no true gold standard, prospective evaluation of signal detection methods remains a challenge.
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A Reference Standard for Evaluation of Methods for Drug Safety Signal Detection Using Electronic Healthcare Record Databases
Drug Safety, 2013Co-Authors: P M Coloma, Mj Schuemie, Paul Avillach, Francesco Salvo, Carmen Ferrajolo, Antoine Pariente, Annie Fourrier-réglat, Mariam Molokhia, Vaishali Patadia, M SturkenboomAbstract:Background The growing interest in using electronic Healthcare Record (EHR) databases for drug safety surveillance has spurred development of new methodologies for signal detection. Although several drugs have been withdrawn postmarketing by regulatory authorities after scientific evaluation of harms and benefits, there is no definitive list of confirmed signals (i.e. list of all known adverse reactions and which drugs can cause them). As there is no true gold standard, prospective evaluation of signal detection methods remains a challenge. Objective Within the context of methods development and evaluation in the EU-ADR Project (Exploring and Understanding Adverse Drug Reactions by integrative mining of clinical Records and biomedical knowledge), we propose a surrogate reference standard of drug-adverse event associations based on existing scientific literature and expert opinion. Methods The reference standard was constructed for ten top-ranked events judged as important in pharmacovigilance. A stepwise approach was employed to identify which, among a list of drug-event associations, are well recognized (known positive associations) or highly unlikely (‘negative controls’) based on MEDLINE-indexed publications, drug product labels, spontaneous reports made to the WHO’s pharmacovigilance database, and expert opinion. Only drugs with adequate exposure in the EU-ADR database network (comprising ≈60 million person-years of Healthcare data) to allow detection of an association were considered. Manual verification of positive associations and negative controls was independently performed by two experts proficient in clinical medicine, pharmacoepidemiology and pharmacovigilance. A third expert adjudicated equivocal cases and arbitrated any disagreement between evaluators. Results Overall, 94 drug-event associations comprised the reference standard, which included 44 positive associations and 50 negative controls for the ten events of interest: bullous eruptions; acute renal failure; anaphylactic shock; acute myocardial infarction; rhabdomyolysis; aplastic anaemia/pancytopenia; neutropenia/agranulocytosis; cardiac valve fibrosis; acute liver injury; and upper gastrointestinal bleeding. For cardiac valve fibrosis, there was no drug with adequate exposure in the database network that satisfied the criteria for a positive association. Conclusion A strategy for the construction of a reference standard to evaluate signal detection methods that use EHR has been proposed. The resulting reference standard is by no means definitive, however, and should be seen as dynamic. As knowledge on drug safety evolves over time and new issues in drug safety arise, this reference standard can be re-evaluated.
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Comparison of methods for drug safety signal detection using electronic Healthcare Record (EHR) databases: The added value of longitudinal, Time-stamped patient information
Pharmacoepidemiology and Drug Safety, 2011Co-Authors: P M Coloma, R Herings, L Pedersen, J Van Der Lei, M Sturkenboom, R. Gini, Giampiero Mazzaglia, Carlo Giaquinto, Gianluca Trifirò, Mj SchuemieAbstract:Background: Spontaneous reporting of suspected adverse drug reactions has been the traditional signaling system in pharmacovigilance. The increased availability of longitudinal Electronic Healthcare Record (EHR) databases offers new opportunities for drug safety signal detection using observational data from daily practice. Objectives: To describe the preliminary results of signal detection using different methods applied to longitudinal EHR data from the EU-ADR Project. Methods: The evaluation dataset consisted of clinical and drug use information from 9,202,393 individuals with 47,881,511 person-years (PYs) of follow-up representing six databases of the EU-ADR network for the period 1995-2010. Disproportionality-based methods (Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Gamma Poisson Shrinker (GPS), Bayesian Confidence Propagation Neural Network (BCPNN)) and exposure-based methods (Cohort and Longitudinal GPS) at varying thresholds were compared using a verification set of true positive (i.e., known 'signals') and true negative drug-event associations for six events considered important in pharmacovigilance. Only the first occurrence of an event in a patient was counted. Data processing was performed in distributed data architecture using custom-built software Jerboa# and statistical analyses were performed in R. Results: Disproportionality-based analyses gave an area under the receiver operating characteristic curve (AUC) of 0.68-0.71, while exposure-based methods gave an AUC of 0.66-0.73. There was variability in the performance of the methods with respect to individual events, suggesting that some methods may be more appropriate for particular event types. Conclusions: Disproportionality-based and exposure-based signal detection methods were broadly comparable when applied to longitudinal data. There appears to be a need to tailor methods to specific adverse event types to improvement method performance.
S. Jiménez-fernández - One of the best experts on this subject based on the ideXlab platform.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Santiago Led, Lenin Serrano, Miguel Galarraga, Paula Toledo De, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution. © The Institution of Engineering and Technology 2008.
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Implementation of an end-to-end standard-based patient monitoring solution
IET Communications, 2008Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, P. De Toledo, José GarcíaAbstract:A proof-of-concept design of a patient monitoring solution for intensive care unit environments has been presented. It is end-to-end standard-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an electronic Healthcare Record (EHR) server. At the bedside end, the system is a plug-and-play sensor network communicating with a gateway that collects medical information and sends the data to a monitoring server. The monitoring server transforms this information into an EN13606 extract to be stored on the EHR server. The system has been implemented to comply with the last X73 and EN13606 available versions and tested in a laboratory environment to demonstrate the feasibility of an end-to-end standard-based solution.
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Implementation experience of a patient monitoring solution based on end-to-end standards
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Ignacio Martínez, M. Martinez-Espronceda, P. De Oledo, Javier Escayola, Santiago Led, Lenin Serrano, Miguel Galarraga, S. Jiménez-fernández, J Fernandez, José GarcíaAbstract:This paper presents a proof-of-concept design of a patient monitoring solution for Intensive Care Unit (ICU). It is end-to-end standards-based, using ISO/IEEE 11073 (X73) in the bedside environment and EN13606 to communicate the information to an Electronic Healthcare Record (EHR) server. At the bedside end a plug-and-play sensor network is implemented, which communicates with a gateway that collects the medical information and sends it to a monitoring server. At this point the server transforms the data frame into an EN13606 extract, to be stored on the EHR server. The presented system has been tested in a laboratory environment to demonstrate the feasibility of this end-to-end standards-based solution.
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Proposal of an ISO/IEEE11073 platform for Healthcare telemonitoring: Plug-and-play solution with new use cases
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, 2007Co-Authors: Miguel Galarraga, M. Martinez-Espronceda, E. Viruete, Javier Escayola, Santiago Led, Lenin Serrano, Paula Toledo De, S. Jiménez-fernández, Ignacio Martínez, J Fernandez, José GarcíaAbstract:Remote patient monitoring in e-Health is everyday closer to be a mature technology / service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into Electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of use cases involved in the personal monitoring scenario and highlights the related features and functionalities, as well as the integration and implementation difficulties found when these are to be implemented in a system based on the ISO/IEEE11073 (X73) standard. It is part of a cooperative research effort devoted to the development of an end-to-end standards-based telemonitoring solution. Standardization committees are working towards adapting the X73 standard to this emerging personal health devices market and use case identification is essential to direct these revisions.
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Proposal of an ISO/IEEE11073 Platform for Healthcare Telemonitoring: Plug-and-Play Solution with new Use Cases
2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007Co-Authors: Miguel Galarraga, M. Martinez-Espronceda, E. Viruete, Javier Escayola, S. Jiménez-fernández, J Fernandez, P. De Toledo, I. Martinez, L. Serrano, J. GarciaAbstract:Remote patient monitoring in e-Health is everyday closer to be a mature technology/service. However, there is still a lack of development in areas such as standardization of the sensor's communication interface, integration into electronic Healthcare Record systems or incorporation in ambient-intelligent scenarios. This work identifies a set of use cases involved in the personal monitoring scenario and highlights the related features and functionalities, as well as the integration and implementation difficulties found when these are to be implemented in a system based on the ISO/IEEE11073 (X73) standard. It is part of a cooperative research effort devoted to the development of an end-to-end standards-based telemonitoring solution. Standardization committees are working towards adapting the X73 standard to this emerging personal health devices market and use case identification is essential to direct these revisions.
