Prof. Luciana Tricai Cavalini, MD, PhD. presents the Multi-Level Healthcare Information Modelling specifications for Third International Symposium on Foundations of Health Information Engineering and Systems (FHIES) 2013 conference. There is also a video on YouTube http://goo.gl/9QPW5x
It is based on the paper: "Use of XML Schema Definition for the Development of Semantically Interoperable Healthcare Applications" to be published in an upcoming issue of Springer LNCS.
The IT-GRC platform is a solution that is based on
the paradigm of distributed systems, based on multi-agent systems
(MAS) in its different parts namely the user interface, the static
and dynamic configuration of the organization management
profiles, the choice of the best repository and the processing of
processes, it takes advantage of the autonomy and learning aspect
of ADMs as well as their high-level communication and
coordination. However, these technological components are
difficult to manipulate, or users lack the necessary skills to use
them correctly. In this situation, the modeling of a communication
architecture is necessary, in order to adapt the functionalities of
the platform to the needs of the users. To help achieve these goals,
it is necessary to develop a functional and intelligent
communication architecture, adaptable and able to provide a
support framework, allowing access to system functionalities
regardless of physical and time constraints.
Review of Multimodal Biometrics: Applications, Challenges and Research AreasCSCJournals
Biometric systems for today’s high security applications must meet stringent performance requirements. The fusion of multiple biometrics helps to minimize the system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained. More sophisticated methods combine scores from separate classifiers for each modality. This paper is an overview of multimodal biometrics, challenges in the progress of multimodal biometrics, the main research areas and its applications to develop the security system for high security areas
The IT-GRC platform is a solution that is based on
the paradigm of distributed systems, based on multi-agent systems
(MAS) in its different parts namely the user interface, the static
and dynamic configuration of the organization management
profiles, the choice of the best repository and the processing of
processes, it takes advantage of the autonomy and learning aspect
of ADMs as well as their high-level communication and
coordination. However, these technological components are
difficult to manipulate, or users lack the necessary skills to use
them correctly. In this situation, the modeling of a communication
architecture is necessary, in order to adapt the functionalities of
the platform to the needs of the users. To help achieve these goals,
it is necessary to develop a functional and intelligent
communication architecture, adaptable and able to provide a
support framework, allowing access to system functionalities
regardless of physical and time constraints.
Review of Multimodal Biometrics: Applications, Challenges and Research AreasCSCJournals
Biometric systems for today’s high security applications must meet stringent performance requirements. The fusion of multiple biometrics helps to minimize the system error rates. Fusion methods include processing biometric modalities sequentially until an acceptable match is obtained. More sophisticated methods combine scores from separate classifiers for each modality. This paper is an overview of multimodal biometrics, challenges in the progress of multimodal biometrics, the main research areas and its applications to develop the security system for high security areas
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...Timothy Cook
AeHIN Hour is our network's regular webinar where we feature topics on eHealth, HIS, and Civil Registration and Vital Statistics.
This presentation was from Dr. Luciana Cavalini, PhD. and Timothy Cook, MSc.
Profa. Luciana Tricai Cavalini, MD, PhD.
Luciana is a physician with PhD in Public Health. She is a Professor at the Department of Health Information Technologies, Medical Sciences College, Rio de Janeiro State University, Brazil and Professor at the Department of Epidemiology and Biostatistics, Community Health Institute, Fluminense Federal University, Brazil.
Luciana is also the Coordinator of the Technological Development Unit in Multilevel Healthcare Information Modeling and Coordinator of the Emergent Group in Research and Innovation on Healthcare Information Technologies. br.linkedin.com/pub/luciana-tricai-cavalini/88/8b6/533/en
Timothy Wayne Cook, MSc.
Tim is an Advanced Electronics Technologist with a MSc in Health Informatics.
He is the creator and core developer of the Multilevel Healthcare Information Modeling (MLHIM) specifications and Chief Technology Officer at MedWeb 3.0 (The Semantic Med Web). He also serves as International Collaborator at the National Institute of Science and Technology – Medicine Assisted by Scientific Computing, Brazil. https://www.linkedin.com/in/timothywaynecook
Implementing an HL7 version 3 modeling tool from an Ecore modelSnow Owl
One of the main challenges of achieving interoperability using the HL7 V3 healthcare standard is the lack of clear definition and supporting tools for modeling, testing, and conformance checking. Currently, the knowledge defining the modeling is scattered around in MIF schemas, tools and specifications or simply with the domain experts. Modeling core HL7 concepts, constraints, and semantic relationships in Ecore/EMF encapsulates the domain-specific knowledge in a transparent way while unifying Java, XML, and UML in an abstract, high-level representation. Moreover, persisting and versioning the core HL7 concepts as a single Ecore context allows modelers and implementers to create, edit and validate message models against a single modeling context. The solution discussed in this paper is implemented in the new HL7 Static Model Designer as an extensible toolset integrated as a standalone Eclipse RCP application.
Please see our website http://b2i.sg for further information.
REQUIREMENTS VARIABILITY SPECIFICATION FOR DATA INTENSIVE SOFTWARE mathsjournal
Nowadays, the use of feature modeling technique, in software requirements specification, increased the
variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is
considered the easiest and the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled data variability by different
models which are far from real world concepts. This,leaded to difficulties in analyzing, designing,
implementing, and maintaining this variability. However, this work proposes a software requirements
specification methodology based on concepts more close to the nature and which are inspired from
genetics. This bio-inspiration has carried out important results in DISPLs requirements variability
specification with feature modeling, which were not approached by the conventional approaches.The
feature model was enriched with features and relations, facilitating the requirements variation
management, not yet considered in the current relevant works.The use of genetics-based m
Requirements Variability Specification for Data Intensive Software ijseajournal
Nowadays, the use of feature modeling technique, in software requirements specification, increased the variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is considered the easiest and the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled data variability by different models which are far from real world concepts. This,leaded to difficulties in analyzing, designing, implementing, and maintaining this variability. However, this work proposes a software requirements
specification methodology based on concepts more close to the nature and which are inspired from genetics. This bio-inspiration has carried out important results in DISPLs requirements variability specification with feature modeling, which were not approached by the conventional approaches.The feature model was enriched with features and relations, facilitating the requirements variation management, not yet considered in the current relevant works.The use of genetics-based methodology
seems to be promising in data intensive software requirements variability specification
In this paper we present an approach of Model Versioning and Model Repository in context of Living
Models view. The idea of Living Models is a step forward from Model Based Software Development
(MBSD) in a sense that there is tight coupling between various artifacts of software development process.
These artifacts include System Models, Test Models, Executable artifacts etc. We explore the issues of
storage (import/export) of model elements into repository, inputs of cross link information, version
management and system analysis. The modeling environment in which these issues will be discussed is a
heterogeneous modeling environment, where different models types and different modeling tools are used
in the development process. An overview of the tool architecture is also presented..
RIM-Recasted, Value-Added Efficiency Interpolation in the HL7 Development Par...ijceronline
The Medical fraternity and the healthcare service sector have long acknowledged the need for smart, IT-based healthcare systems, operating globally. Semantic Interoperability is key, which is the regulated and meaningful exchange of valued healthcare information with homogenous understanding amongst participating healthcare service providers. Health Level Seven (HL7) is the predominant interoperability-related global healthcare standard in operation today. Introduced in 1987, the standard has evolved to its current version 3 and has been embraced by the National Health Services of the most developed economies in Europe, North and South America, and Australasia. However, the standard is not without issues. Version v3 has been found to be difficult to implement and maintain. A principle component of the HL7 v3 development paradigm is the Reference Information Model (RIM) which defines the complete language and vocabulary schema used in the three v3 paradigms of Messages, Clinical Document Architecture, and Services, and indeed in all v3 implementations. This study determined that the RIM itself has many documented issues which ultimately affect implementation. Thus, true global semantic interoperability which is the germinal goal of the HL7 standard is still an illusion. This study focuses on the belief that the achievement of true global interoperability is rooted at the labyrinths of specifications development and its associated foundational paradigms. This study focused on the Reference Information Model (RIM), the foundational semantic and lexical reference structure which affords vocabulary derivation to be used in all v3 system implementations. Infusing sequencing and temporal dimensions to the RIM structure and operation would promote and afford enhanced analytic, design, semantic interoperability, and two-way traceability, which in turn would suffuse to high-calibre specifications generation and true global International Interoperability in operation. In addition, multi-faceted interoperability interpolation in these core processes would promote and enhance numerous allied activities as well, from domain requirements cross-checking, audit, and consensus, to kindred system development verification and validation. This research therefore analyzed many of the prevalent RIM issues indepth, and effected smart, delicate, and prudent recasting of this encyclopedic vocabulary and language reference structure, to derive optimal efficiencies in specifications development and implementation.
JThermodynamicsCloud is software service for the chemical, or more specifically, the combustion research
domain. JThermodynamicsCloud service can be said to be an model driven application, where the ontology
is a platform independent model of the data and operational structures. The ontology, as used by the service,
has three distinct purposes: documentation, data structure definition and operational definitions. One goal of
the ontology is to place as much of the design and domain specific structures in the ontology rather than in
the application code. The application code interprets the ontology in the backend. The primary purpose of
the JThermodynamicsCloud is to perform thermdynamic calculations and manage the data needed to make
those calculations. The calculation itself is highly dependent on the varied types of molecular data found in
the database The complete service is a system with three interacting components, a user interface using
Angular, a (RESTful) backend written in JAVA (with the JENA API interpreting the ontology) and the
Google Firestore noSQL document database and Firebase storage. The service uses these three components
to make calculations for thermodynamic quantities based on molecular species structure. These different
platforms are united through the ontology.
A new language for a new biology: How SBML and other tools are transforming m...Mike Hucka
Presentation given at the Victorian Systems Biology Symposium (http://www.emblaustralia.org/About_us/news/mike-hucka.aspx) at the Walter and Eliza Hall Institute in Melbourne, Australia, on 20 August 2013.
Using Model-Driven Engineering for Decision Support Systems Modelling, Implem...CSCJournals
Following the principle of everything is object, software development engineering has moved towards the principle of everything is model, through Model Driven Engineering (MDE). Its implementation is based on models and their successive transformations, which allow starting from the requirements specification to the code’s implementation. This engineering is used in the development of information systems, including Decision-Support Systems (DSS). Here we use MDE to propose an DSS development approach, using the Multidimensional Canonical Partitioning (MCP) design approach and a design pattern. We also use model’s transformation in order to obtain not only implementation codes, but also data warehouse feeds.
Achieving Semantic Integration of Medical Knowledge for Clinical Decision Sup...AmrAlaaEldin12
Abstract. Enhancing the outputs of the Clinical Decision Support systems (CDS) is a permanent concern for many research communities, which have to deal with an abundance of entities, data, structures, methods, application, tools, and so on. In the few past decades, there were theorized and standardized tech- nologies that could help researchers to obtain better results. The paper presents a method to enrich the inputs of the CDS through a semantic integration of sev- eral medical knowledge sources, by using the Topic Maps standard, in order to obtain more refined medical recommendations. Future research directions and challenges are summarized and conclusions are issued.
Systems variability modeling a textual model mixing class and feature conceptsijcsit
System’s reusability and cost are very important in software product line design area. Developers’ goal is
to increase system reusability and decreasing cost and efforts for building components from scratch for
each software configuration. This can be reached by developing software product line (SPL). To handle
SPL engineering process, several approaches with several techniques were developed. One of these
approaches is called separated approach. It requires separating the commonalities and variability for
system’s components to allow configuration selection based on user defined features. Textual notationbased
approaches have been used for their formal syntax and semantics to represent system features and
implementations. But these approaches are still weak in mixing features (conceptual level) and classes
(physical level) that guarantee smooth and automatic configuration generation for software releases. The
absence of methodology supporting the mixing process is a real weakness. In this paper, we enhanced
SPL’s reusability by introducing some meta-features, classified according to their functionalities. As a first
consequence, mixing class and feature concepts is supported in a simple way using class interfaces and
inherent features for smooth move from feature model to class model. And as a second consequence, the
mixing process is supported by a textual design and implementation methodology, mixing class and feature
models by combining their concepts in a single language. The supported configuration generation process
is simple, coherent, and complete.
Bio-Inspired Requirements Variability Modeling with use Case ijseajournal
Background.Feature Model (FM) is the most important technique used to manage the variability through products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements modeling levels. Aims. This paper proposes a bio-inspired use case variability modeling methodology dealing with the above shortages.
Method. The methodology is carried out through variable business domain use case meta modeling,
variable applications family use case meta modeling, and variable specific application use case generating.
Results. This methodology has leaded to integrated solutions to the above challenges: it decreases the gap
between computing concepts and real world ones. It supports use case variability modeling by introducing
versions and revisions features and related relations. The variability is supported at three meta levels
covering business domain, applications family, and specific application requirements.
Conclusion. A comparative evaluation with the closest recent works, upon some meaningful criteria in the
domain, shows the conceptual and practical great value of the proposed methodology and leads to
promising research perspectives
BIO-INSPIRED REQUIREMENTS VARIABILITY MODELING WITH USE CASE mathsjournal
Background.Feature Model (FM) is the most important technique used to manage the variability through
products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable
use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of
real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements
modeling levels.
A NATURAL LANGUAGE REQUIREMENTS ENGINEERING APPROACH FOR MDA IJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A natural language requirements engineering approach for mdaIJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to
derive a CIM from these models. In this paper, we present an improved version of our ATL transformation
that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A NATURAL LANGUAGE REQUIREMENTS ENGINEERING APPROACH FOR MDA IJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A Natural Language Requirements Engineering Approach for MDAIJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models
Dr. Luciana Cavalini & Timothy Cook present MLHIM at Congreso Argentino de Informática y Salud 2014.
See: www.mlhim.org www.github.com/mlhim for more details.
AeHIN 28 August, 2014 - Innovation in Healthcare IT Standards: The Path to Bi...Timothy Cook
AeHIN Hour is our network's regular webinar where we feature topics on eHealth, HIS, and Civil Registration and Vital Statistics.
This presentation was from Dr. Luciana Cavalini, PhD. and Timothy Cook, MSc.
Profa. Luciana Tricai Cavalini, MD, PhD.
Luciana is a physician with PhD in Public Health. She is a Professor at the Department of Health Information Technologies, Medical Sciences College, Rio de Janeiro State University, Brazil and Professor at the Department of Epidemiology and Biostatistics, Community Health Institute, Fluminense Federal University, Brazil.
Luciana is also the Coordinator of the Technological Development Unit in Multilevel Healthcare Information Modeling and Coordinator of the Emergent Group in Research and Innovation on Healthcare Information Technologies. br.linkedin.com/pub/luciana-tricai-cavalini/88/8b6/533/en
Timothy Wayne Cook, MSc.
Tim is an Advanced Electronics Technologist with a MSc in Health Informatics.
He is the creator and core developer of the Multilevel Healthcare Information Modeling (MLHIM) specifications and Chief Technology Officer at MedWeb 3.0 (The Semantic Med Web). He also serves as International Collaborator at the National Institute of Science and Technology – Medicine Assisted by Scientific Computing, Brazil. https://www.linkedin.com/in/timothywaynecook
Implementing an HL7 version 3 modeling tool from an Ecore modelSnow Owl
One of the main challenges of achieving interoperability using the HL7 V3 healthcare standard is the lack of clear definition and supporting tools for modeling, testing, and conformance checking. Currently, the knowledge defining the modeling is scattered around in MIF schemas, tools and specifications or simply with the domain experts. Modeling core HL7 concepts, constraints, and semantic relationships in Ecore/EMF encapsulates the domain-specific knowledge in a transparent way while unifying Java, XML, and UML in an abstract, high-level representation. Moreover, persisting and versioning the core HL7 concepts as a single Ecore context allows modelers and implementers to create, edit and validate message models against a single modeling context. The solution discussed in this paper is implemented in the new HL7 Static Model Designer as an extensible toolset integrated as a standalone Eclipse RCP application.
Please see our website http://b2i.sg for further information.
REQUIREMENTS VARIABILITY SPECIFICATION FOR DATA INTENSIVE SOFTWARE mathsjournal
Nowadays, the use of feature modeling technique, in software requirements specification, increased the
variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is
considered the easiest and the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled data variability by different
models which are far from real world concepts. This,leaded to difficulties in analyzing, designing,
implementing, and maintaining this variability. However, this work proposes a software requirements
specification methodology based on concepts more close to the nature and which are inspired from
genetics. This bio-inspiration has carried out important results in DISPLs requirements variability
specification with feature modeling, which were not approached by the conventional approaches.The
feature model was enriched with features and relations, facilitating the requirements variation
management, not yet considered in the current relevant works.The use of genetics-based m
Requirements Variability Specification for Data Intensive Software ijseajournal
Nowadays, the use of feature modeling technique, in software requirements specification, increased the variation support in Data Intensive Software Product Lines (DISPLs) requirements modeling. It is considered the easiest and the most efficient way to express commonalities and variability among different
products requirements. Several recent works, in DISPLs requirements, handled data variability by different models which are far from real world concepts. This,leaded to difficulties in analyzing, designing, implementing, and maintaining this variability. However, this work proposes a software requirements
specification methodology based on concepts more close to the nature and which are inspired from genetics. This bio-inspiration has carried out important results in DISPLs requirements variability specification with feature modeling, which were not approached by the conventional approaches.The feature model was enriched with features and relations, facilitating the requirements variation management, not yet considered in the current relevant works.The use of genetics-based methodology
seems to be promising in data intensive software requirements variability specification
In this paper we present an approach of Model Versioning and Model Repository in context of Living
Models view. The idea of Living Models is a step forward from Model Based Software Development
(MBSD) in a sense that there is tight coupling between various artifacts of software development process.
These artifacts include System Models, Test Models, Executable artifacts etc. We explore the issues of
storage (import/export) of model elements into repository, inputs of cross link information, version
management and system analysis. The modeling environment in which these issues will be discussed is a
heterogeneous modeling environment, where different models types and different modeling tools are used
in the development process. An overview of the tool architecture is also presented..
RIM-Recasted, Value-Added Efficiency Interpolation in the HL7 Development Par...ijceronline
The Medical fraternity and the healthcare service sector have long acknowledged the need for smart, IT-based healthcare systems, operating globally. Semantic Interoperability is key, which is the regulated and meaningful exchange of valued healthcare information with homogenous understanding amongst participating healthcare service providers. Health Level Seven (HL7) is the predominant interoperability-related global healthcare standard in operation today. Introduced in 1987, the standard has evolved to its current version 3 and has been embraced by the National Health Services of the most developed economies in Europe, North and South America, and Australasia. However, the standard is not without issues. Version v3 has been found to be difficult to implement and maintain. A principle component of the HL7 v3 development paradigm is the Reference Information Model (RIM) which defines the complete language and vocabulary schema used in the three v3 paradigms of Messages, Clinical Document Architecture, and Services, and indeed in all v3 implementations. This study determined that the RIM itself has many documented issues which ultimately affect implementation. Thus, true global semantic interoperability which is the germinal goal of the HL7 standard is still an illusion. This study focuses on the belief that the achievement of true global interoperability is rooted at the labyrinths of specifications development and its associated foundational paradigms. This study focused on the Reference Information Model (RIM), the foundational semantic and lexical reference structure which affords vocabulary derivation to be used in all v3 system implementations. Infusing sequencing and temporal dimensions to the RIM structure and operation would promote and afford enhanced analytic, design, semantic interoperability, and two-way traceability, which in turn would suffuse to high-calibre specifications generation and true global International Interoperability in operation. In addition, multi-faceted interoperability interpolation in these core processes would promote and enhance numerous allied activities as well, from domain requirements cross-checking, audit, and consensus, to kindred system development verification and validation. This research therefore analyzed many of the prevalent RIM issues indepth, and effected smart, delicate, and prudent recasting of this encyclopedic vocabulary and language reference structure, to derive optimal efficiencies in specifications development and implementation.
JThermodynamicsCloud is software service for the chemical, or more specifically, the combustion research
domain. JThermodynamicsCloud service can be said to be an model driven application, where the ontology
is a platform independent model of the data and operational structures. The ontology, as used by the service,
has three distinct purposes: documentation, data structure definition and operational definitions. One goal of
the ontology is to place as much of the design and domain specific structures in the ontology rather than in
the application code. The application code interprets the ontology in the backend. The primary purpose of
the JThermodynamicsCloud is to perform thermdynamic calculations and manage the data needed to make
those calculations. The calculation itself is highly dependent on the varied types of molecular data found in
the database The complete service is a system with three interacting components, a user interface using
Angular, a (RESTful) backend written in JAVA (with the JENA API interpreting the ontology) and the
Google Firestore noSQL document database and Firebase storage. The service uses these three components
to make calculations for thermodynamic quantities based on molecular species structure. These different
platforms are united through the ontology.
A new language for a new biology: How SBML and other tools are transforming m...Mike Hucka
Presentation given at the Victorian Systems Biology Symposium (http://www.emblaustralia.org/About_us/news/mike-hucka.aspx) at the Walter and Eliza Hall Institute in Melbourne, Australia, on 20 August 2013.
Using Model-Driven Engineering for Decision Support Systems Modelling, Implem...CSCJournals
Following the principle of everything is object, software development engineering has moved towards the principle of everything is model, through Model Driven Engineering (MDE). Its implementation is based on models and their successive transformations, which allow starting from the requirements specification to the code’s implementation. This engineering is used in the development of information systems, including Decision-Support Systems (DSS). Here we use MDE to propose an DSS development approach, using the Multidimensional Canonical Partitioning (MCP) design approach and a design pattern. We also use model’s transformation in order to obtain not only implementation codes, but also data warehouse feeds.
Achieving Semantic Integration of Medical Knowledge for Clinical Decision Sup...AmrAlaaEldin12
Abstract. Enhancing the outputs of the Clinical Decision Support systems (CDS) is a permanent concern for many research communities, which have to deal with an abundance of entities, data, structures, methods, application, tools, and so on. In the few past decades, there were theorized and standardized tech- nologies that could help researchers to obtain better results. The paper presents a method to enrich the inputs of the CDS through a semantic integration of sev- eral medical knowledge sources, by using the Topic Maps standard, in order to obtain more refined medical recommendations. Future research directions and challenges are summarized and conclusions are issued.
Systems variability modeling a textual model mixing class and feature conceptsijcsit
System’s reusability and cost are very important in software product line design area. Developers’ goal is
to increase system reusability and decreasing cost and efforts for building components from scratch for
each software configuration. This can be reached by developing software product line (SPL). To handle
SPL engineering process, several approaches with several techniques were developed. One of these
approaches is called separated approach. It requires separating the commonalities and variability for
system’s components to allow configuration selection based on user defined features. Textual notationbased
approaches have been used for their formal syntax and semantics to represent system features and
implementations. But these approaches are still weak in mixing features (conceptual level) and classes
(physical level) that guarantee smooth and automatic configuration generation for software releases. The
absence of methodology supporting the mixing process is a real weakness. In this paper, we enhanced
SPL’s reusability by introducing some meta-features, classified according to their functionalities. As a first
consequence, mixing class and feature concepts is supported in a simple way using class interfaces and
inherent features for smooth move from feature model to class model. And as a second consequence, the
mixing process is supported by a textual design and implementation methodology, mixing class and feature
models by combining their concepts in a single language. The supported configuration generation process
is simple, coherent, and complete.
Bio-Inspired Requirements Variability Modeling with use Case ijseajournal
Background.Feature Model (FM) is the most important technique used to manage the variability through products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements modeling levels. Aims. This paper proposes a bio-inspired use case variability modeling methodology dealing with the above shortages.
Method. The methodology is carried out through variable business domain use case meta modeling,
variable applications family use case meta modeling, and variable specific application use case generating.
Results. This methodology has leaded to integrated solutions to the above challenges: it decreases the gap
between computing concepts and real world ones. It supports use case variability modeling by introducing
versions and revisions features and related relations. The variability is supported at three meta levels
covering business domain, applications family, and specific application requirements.
Conclusion. A comparative evaluation with the closest recent works, upon some meaningful criteria in the
domain, shows the conceptual and practical great value of the proposed methodology and leads to
promising research perspectives
BIO-INSPIRED REQUIREMENTS VARIABILITY MODELING WITH USE CASE mathsjournal
Background.Feature Model (FM) is the most important technique used to manage the variability through
products in Software Product Lines (SPLs). Often, the SPLs requirements variability is by using variable
use case modelwhich is a real challenge inactual approaches: large gap between their concepts and those of
real world leading to bad quality, poor supporting FM, and the variability does not cover all requirements
modeling levels.
A NATURAL LANGUAGE REQUIREMENTS ENGINEERING APPROACH FOR MDA IJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A natural language requirements engineering approach for mdaIJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to
derive a CIM from these models. In this paper, we present an improved version of our ATL transformation
that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A NATURAL LANGUAGE REQUIREMENTS ENGINEERING APPROACH FOR MDA IJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models.
A Natural Language Requirements Engineering Approach for MDAIJCSEA Journal
A software system for any information system can be developed following a model driven paradigm, in particular MDA (Model Driven Architecture). In this way, models that represent the organizational work are used to produce models that represent the information system. Current software development methods are starting to provide guidelines for the construction of conceptual models, taking as input requirements models. In MDA the CIM (Computation Independent Model) can be used to define the business process model. Though a complete automatic construction of the CIM is not possible, we have proposed in other papers the integration of some natural language requirements models and we have defined a strategy to derive a CIM from these models. In this paper, we present an improved version of our ATL transformation that implements a strategy to obtain a UML class diagram representing a preliminary CIM from requirements models allowing traceability between the source and the target models
Dr. Luciana Cavalini & Timothy Cook present MLHIM at Congreso Argentino de Informática y Salud 2014.
See: www.mlhim.org www.github.com/mlhim for more details.
Presentation at the Escola Regional de Computação Aplicada à SaúdeTimothy Cook
Dr. Luciana Cavalini's presentation at the shortcourse V - Standards and Specifications for the area of Health Informatics at the Escola Regional de Computação Aplicada à Saúde.
http://www.interlab.pcs.poli.usp.br/ercas/
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 2nd ACM International Health Informatics Symposium SIGHIT in 2012
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the XIII Brazilian Congress of Health Informatics -2012.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the XIII Brazilian Congress of Health Informatics -2012.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Dr. Luciana Cavalini's presentation at the XI Workshop on Medical Informatics in 2012.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation at the 14th International Conference on e-Health Networking - Application and Services in 2012 .
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation at the XI Workshop on Medical Informatics in 2011.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 5th Brazilian Congress on Telemedicine and Telehealth - CBTMs - 2011.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
MSc. Timothy Cook's presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation WSCHA 2010 - in portugueseTimothy Cook
Presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation at the 1st Workshop on Scientific Computing Applications in Health - 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Presentation Minicourse for Summer Program LNCC 2010Timothy Cook
Presentation of the Minicourse for Summer Program at the National Laboratory for Scientific Computing - LNCC - in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Dr. Luciana Cavalini's presentation at the 6th meeting of the Brazilian Python Community in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Poster presented at the 13th International Congress on Medical Informatics - MEDINFO - in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
Dr. Luciana Cavalini's presentation Day on Medical Informatics at the Regional Council of Medicine of the State of Rio de Janeiro - CREMERJ - in 2010.
See: http://www.mlhim.org http://gplus.to/MLHIM and http://gplus.to/MLHIMComm for more information about semantic interoperability in healthcare.
#mlhim #semantic_interoperability #health_informatics
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
Ethanol (CH3CH2OH), or beverage alcohol, is a two-carbon alcohol
that is rapidly distributed in the body and brain. Ethanol alters many
neurochemical systems and has rewarding and addictive properties. It
is the oldest recreational drug and likely contributes to more morbidity,
mortality, and public health costs than all illicit drugs combined. The
5th edition of the Diagnostic and Statistical Manual of Mental Disorders
(DSM-5) integrates alcohol abuse and alcohol dependence into a single
disorder called alcohol use disorder (AUD), with mild, moderate,
and severe subclassifications (American Psychiatric Association, 2013).
In the DSM-5, all types of substance abuse and dependence have been
combined into a single substance use disorder (SUD) on a continuum
from mild to severe. A diagnosis of AUD requires that at least two of
the 11 DSM-5 behaviors be present within a 12-month period (mild
AUD: 2–3 criteria; moderate AUD: 4–5 criteria; severe AUD: 6–11 criteria).
The four main behavioral effects of AUD are impaired control over
drinking, negative social consequences, risky use, and altered physiological
effects (tolerance, withdrawal). This chapter presents an overview
of the prevalence and harmful consequences of AUD in the U.S.,
the systemic nature of the disease, neurocircuitry and stages of AUD,
comorbidities, fetal alcohol spectrum disorders, genetic risk factors, and
pharmacotherapies for AUD.
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
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Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
How STIs Influence the Development of Pelvic Inflammatory Disease.pptx
MLHIM FHIES 2013
1. USE OF XML SCHEMA DEFINITION FOR
THE DEVELOPMENT OF SEMANTICALLY
INTEROPERABLE HEALTHCARE
APPLICATIONS
Third International Symposium on Foundations of Health Information Engineering and Systems – FHIES 2013
Luciana Tricai Cavalini, MD, PhD
Department of Health Information Technology
Rio de Janeiro State University, Brazil
Timothy Wayne Cook, MSc
Founder, MLHIM Laboratory
CEO, MedWeb 3.0
2. Summary
Background
Objective
Method
Overview of the MLHIM Specifications
Description of the MLHIM Reference Model
Demo Application Development
Results
Data Modeling
The Proof of Concept of Semantic Interoperability
Discussion
Relationship to Model-Driven Architectures
Relationship to OWL and RDF
Relationship to Other Standards
Limitations
Conclusions
3. Background (1)
The deployment of IT products has been proposed
since 1961 in order to solve problems in different
dimensions of healthcare systems
Such expectations are yet to be met in developed
countries, and so far they only increase the costs of
healthcare systems in developing countries
4. Background (2)
The ~65% failure of healthcare IT projects is
related to the dismissal of the unique complexity
and dynamics of the biomedical ecosystem (lives <-
> healthcare systems)
The number of biomedical concepts is large,
increasing in number and complexity over time, and
consensus among experts is difficult to achieve
because of the liberal origins of the medical
profession
5. Background (3)
During his/her lifetime, a person will visit dozens of
healthcare providers, scattered around an
undefined geographical area; all those visits have a
probability > 0 of affecting the future ones
Thus, ideally, data instances generated in each one
of those medical encounters should be exchanged
in a semantically valid way among all medical
applications involved
6. Background (4)
In present, there are many private companies and
governmental agencies whose mission is to develop
healthcare information systems, each of them
implementing their own data model
Those data models are different from system to
system AND they have to be continuously changed
over time to catch up with the fast evolution of
biomedical science
7. Background (5)
The mainstream solution for solving the problem of
semantic interoperability in healthcare is proposing
consensus on ontologies, terminologies or top-down
data modeling standards
So far, the only method that has been proven in
software to achieve semantic interoperability is
multilevel modeling
8. Multilevel Modeling (1)
The original multilevel modeling specifications were
proposed by the openEHR Foundation
Aspects of the openEHR specifications were
adopted in the ISO 13606 Standard
Both proposals have low level of adoption in the
global healthcare IT community
9. Multilevel Modeling (2)
The current version of the ISO 13606 Standard
does not allow for data persistence, only messaging
exchange between systems
Low adoption of openEHR is attributed to:
High complexity of the specifications
Use of a Domain Specific Language for development
of clinical data models
10. Given the fact that multilevel modeling provides semantic
interoperability, but there is a need to make it
implementable for real healthcare applications;
This paper has the objective to:
• Present the main features of an XML-based multilevel
modeling specification
• Describe the proof of concept of semantic
interoperability achieved with two demo applications
Objectives
11. Method
Implementation of the Multilevel Healthcare
Information Modeling (MLHIM) Specifications
Reference Model
Domain Model
Proof of concept of semantic interoperability
Implementation of two demo apps
Semantic validation of data coming from both
12. The MLHIM Specifications (1)
MLHIM Reference Model (RM) (1)
The abstract MLHIM RM consists of classes and
attributes – necessary and sufficient – to build any
healthcare application
This minimalistic approach makes MLHIM the only
multilevel model specification that allows the
development of mobile applications
13. The MLHIM Specifications (2)
MLHIM Reference Model (RM) (2)
The MLHIM RM is implemented in XML Schema 1.1
The MLHIM RM abstract classes are defined as
complexTypes arranged as ‘xs:extension’
Each complexType has an ‘element’ definition
The ‘elements’ are arranged in substitution groups,
in order to replicate the multiple class inheritance
capability of the abstract RM
14. The MLHIM Specifications (3)
MLHIM Domain Model (DM) (1)
The MLHIM DM is expressed as Concept Constraint
Definitions (CCD)
An abstract CCD is defined by the combination and
restriction of the RM classes and its attributes that
are necessary and sufficient to model any
biomedical concept
15. The MLHIM Specifications (4)
MLHIM Domain Model (DM) (2)
The implementation of CCDs in XML Schema 1.1
expresses:
The combination of complexTypes in multiple
substitution groups
The definition of restrictions to the complexType
elements
16. The MLHIM Specifications (5)
MLHIM Domain Model (DM) (3)
CCDs are identified by Type 4 Universal Unique
Identifiers (UUIDs)
That allows n > 1 CCDs for the same biomedical
concept, all of them semantically valid according to
the MLHIM RM
Thus, the MLHIM knowledge modeling governance is
decentralized and it does not require timely and
expensive top-down consensus required for all other
HIT standards
17. The MLHIM Specifications (6)
MLHIM Domain Model (DM) (4)
Each complexType of a CCD is also identified by
UUIDs, which allows:
Wide reuse of MLHIM clinical data models – the
Pluggable complexTypes (PCTs)
The probability of semantic conflict between two
different CCD or PCT implementations of the same
concept is zero
18. The MLHIM Specifications (7)
MLHIM Domain Model (DM) (5)
CCDs can accommodate any number of
terminologies and ontologies:
Specific term codes or ontology terms can be linked to
its correspondent complexType as computable
application information in the ‘annotation’ element
RDF content can also be included, making the MLHIM-
based ecosystem fully integrated to the Semantic Web
19. The MLHIM Specifications (8)
Additional Features
The MLHIM specifications validates the semantics of
missing data, since the MLHIM data type
complexTypes carry a ‘ev’ element
Very important: MLHIM is only concerned with
semantic interoperability of biomedical
applications. Implementation issues are outside the
scope of the specifications (e.g., persistence model,
authentication etc).
20. MLHIM Reference Model (1)
Datatypes Package
Inspired on the ISO 21090 and openEHR data
types
Ordered data types: ordinals (ranks and scores),
dates and times and true numbers (quantities, counts
and ratios); reference ranges are defined as
intervals
Unordered data types: characters, parsable,
multimedia and Booleans
21. Fig. 1. UML diagram of the MLHIM Reference Model – Datatypes package.
22. MLHIM Reference Model (2)
Structures Package
ItemType descendants:
ClusterType: it can contain other ClusterTypes or
any number of ElementTypes
ElementType: the leaf variant if ItemType, to which
a datatype is attached
23. Fig. 2. UML diagram of the MLHIM Reference Model – Structures package.
24. MLHIM Reference Model (3)
Content Package
EntryType descendants:
CareEntryType: defines structure, protocol and
workflow attributes for any clinical information
DemographicEntryType: defines structure for
demographic data, separated from other
EntryTypes to allow built-in data anominization
AdminEntryType: defines structure for
administrative healthcare data
25. Fig. 3. UML diagram of the MLHIM Reference Model – Content and Contraint
packages.
26. MLHIM Reference Model (4)
Common Package
Parent Type complexType Usage
PartyProxyType
PartySelfType
PartyIdentifiedType
Representing the subject of the record
Proxy data for an identified party other than the
subject of the record
xs:anyType
ParticipationType
AttestationType
FeederAuditType
FeederAuditDetailsType
Modeling participation of a Party in an activity
Recording an attestation of item(s) of record content
by a Party
Audit and other meta-data for software applications
and systems in the feeder chain
Audit details for any system in a feeder system chain
ExceptionalValueType
See Cavalini and Cook,
2012
See Cavalini and Cook, 2012
27. Fig. 4. UML diagram of the MLHIM Reference Model – Common package.
28. Proof of Concept (1)
Two demo applications were developed based on
the MLHIM Demo EMR
Demo 1: Demographic and Vital Signs
Demo 2: Demographic and Basic Metabolic Panel
Source data models: NCI Common Data Elements
(CDE) repository
Selected CDEs were modeled as CCDs with the
CCD-Gen application
29. Proof of Concept (2)
The oXygen XML editor version 14.2 was used for:
Create and Validate the MLHIM RM Schema
Validate the CCDs generated by the CCD-Gen
Generate and validate simulated data for both applications
Persist the XML instances in its embadded eXist-DB
database
oXygen delegates validation of XML Schemas and XML
documents according to the W3C XML specifications to
the Xerxes and Saxon-EE XML parsers/validators
30. Results (1)
Data Modeling
Three CCDs were created:
Demographic (DemographicEntry)
Vital Signs (CareEntry)
Basic Metabolic Panel (CareEntry)
31. Demographic CCD PCTs
CCD Data Element Data Type
Demograhic
Gender
Zip Code
State
City
Driver License no.
Social Security no.
Phone no.
Email address
First Name
Last Name
DvString with enumeration
DvIdentifier
DvCodedString
DvCodedString
DvIdentifier
DvIdentifier
DvString
DvURI
DvString
DvString
32. Vital Signs CCD PCTs
CCD Data Element Data Type
Vital Signs
Systolic Pressure
Diastolic Pressure
BP Device Type
Cuff Location
Patient Position
Heart Rate
Respiration
Body Temperature
Temperature Location
Temperature Device
DvQuantity
DvQuantity
DvString with enumeration
DvString with enumeration
DvString with enumeration
DvCount
DvCount
DvQuantity
DvString with enumeration
DvString with enumeration
33. Basic Metabolic Panel CCD PCTs
CCD Data Element Data Type
BMP
Sodium
Potassium
Glucose
Urea
Creatinine
DvQuantity
DvQuantity
DvQuantity
DvQuantity
DvQuantity
34. Results (2)
Data Simulation (1)
The Demographic CCD was used to generate 130
XML instances of fictitious patients
66 of them were replicated into both Demo
applications
32 of them were persisted only in one of the two
Demo applications
35. Results (3)
Data Simulation (2)
n (n = 1, 2, 3, …) simulated instances of the Vital
Signs and Basic Metabolic Panel CCDs were
generated for each correspondent Demographic
CCD
Example: 1,531 data instances of the Diastolic
Blood Pressure were generated
36. Results (4)
Data Validation
Data validation followed a backward validation chain,
from the XML instance to the W3C specifications:
The XML instances were valid according to their
correspondent CCDs
The CCDs were valid according to the MLHIM Reference
Model Schema
The MLHIM RM Schema was valid according to the XML
Schema 1.1 specifications
The XML Schema 1.1 specification is valid according to the
W3C XML Language specifications
37. Discussion (1)
This paper presented the development of a multilevel
model, XML-based implementation of a proof of
concept of semantic interoperability with the Multilevel
Healthcare Information Modeling (MLHIM) specifications
MLHIM allows:
Implementation of any size of biomedical applications
Persistence in No-SQL and SQL databases
Adoption of semantic web technologies by RDF and OWL
markup of CCD Schemas (not the instance data!)
38. Discussion (2)
Relationship to Model-Driven Architecture
MDA is concerned with the overall architecture of a
specific software
This is outside the scope of MLHIM, whose only
concern is providing an environment for semantic
interoperability
Using Eclipse to implement the MLHIM Reference
Model created Eclipse dependencies on the XML
code that created undesired lock-up to the
framework
39. Discussion (3)
Relationship to OWL and RDF (1)
The Semantic Web technologies are the next stage
of the original idea of proposing controlled
vocabularies to solve semantic interoperability
issues
In present, OWL and RDF lack the expressiveness,
syntactic structure and completeness, as well as the
relationship to XPath and Xquery, that XML Schema
provides
40. Discussion (4)
Relationship to OWL and RDF (2)
MLHIM uses RDF and OWL as it was originally
intended: to link to expanded semantics on the CCD
Schema and NOT on the XML data instance
With maturity of OWL and RDF, and the
convergence of their current syntaxes to a more
robust specification, it might be possible in the
future to implement the MLHIM RM in OWL and/or
RDF
41. Discussion (5)
Relationship to Other HIT Standards (1)
MLHIM is the harmonization of HL7 and openEHR
openEHR implementation is challenging:
The archetype formalism has a long learning curve
The archetype governance model is top-down
The openEHR RM has to be implemented in every
application, because there are no external validation
tools
42. Discussion (6)
Relationship to Other HIT Standards (2)
Regarding HL7v3:
It is not multilevel modeling, so there is no validity chain
back from the data instance to a common RM – the RIM
allows expansions
The HL7v3 Common Definition Architecture is been
proposed as an implementation of RIM, but the
Schemas are top-down and too large for use in mobile
applications
43. Discussion (7)
Relationship to Other HIT Standards (3)
HIE and S&I:
Healthcare Information Exchange (HIE): it is a ‘top of
mind’ acronym for semantic interoperability, although it
only defines standardized workflows
Standards & Interoperability (S&I) Framework: same as
the HL7v3 CDA, it is a top-down clinical data model
44. Discussion (8)
Limitations of MLHIM
Resistance to innovation adoption:
Multilevel modeling
How MLHIM uses XML technologies
How MLHIM uses Semantic Web technologies
Competing interests
Engaging domain experts
45. Conclusion
Future Work
Deploying a enterprise-scale implementation of
MLHIM
Engaging medical (healthcare) students to become
Domain Modelers