Snow Owl Platform. Unlocking the meaning from healthcare data.
•
2 likes•1,706 views
This talk discusses our implementation experience adding SNOMED CT support into Snow Owl, a terminology authoring platform. Aspects of the platform will be demonstrated that addressed challenges such as: implementing the HL7 TermInfo standard to support semantic search of SNOMED CT concepts; implementation of SNOMED CT RF2 query-based (intensional) reference sets; benefits of using off-the-shelf description logic classifiers (including ELK and FaCT++) to identify logical errors in SNOMED CT concept definitions; support for collaborative authoring via task management; and multi-user distributed authoring. Please see our website http://b2i.sg for further information.
Report
Share
Report
Share
Download to read offline
Recommended
The Logical Model Designer - Binding Information Models to Terminology
This presentation demonstrates the functionality provided by the Logical Model Designer (LMD) and Snow Owl tools, which enables terminology to be bound to the Singapore Logical Information Model.
Abstract:
A critical enabler in the journey towards semantic interoperability in Singapore is the Singapore "˜Logical Information Model' (LIM). The LIM is a model of the healthcare information shared within Singapore, and is defined as a set of reusable "˜archetypes' for each clinical concept (e.g. Problem/Diagnosis, Pharmacy Order). These archetypes are then constrained and composed into "˜templates' to support specific use cases.
The Singapore LIM harmonises the semantics of the information structures with the terminology, using multiple types of terminology bindings, including semantic, value domain and constraint bindings. Value domain bindings are defined to both national "˜reference terminology' (used for querying nationally-collated data), as well as to a variety of "˜interface terminologies' used within local clinical systems (required to enforce conformance-compliance rules over message specifications generated from the LIM). To support the diversity of pre-coordination captured in local interface terms, "˜design patterns' are included in the LIM, based on the SNOMED CT concept model. These design patterns represent a logical model of meaning for a specific concept, and allow more than one split between the information model and the terminology model to be represented in a semantically-consistent manner.
This presentation will demonstrate the "˜Logical Model Designer' (LMD) - an Eclipse-based tool that is being used to maintain Singapore's Logical Information Model. A number of features of the LMD tooling will be demonstrated, with a specific focus on how the information structure is bound to the terminology via an interface to the Snow Owl platform. Value Domains are defined as reference sets within Snow Owl and then linked to the information structures defined in the LMD.
Please see our website http://b2i.sg for further information.
Implementing an HL7 version 3 modeling tool from an Ecore model
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.
A simple web-based interface for advanced SNOMED CT queries
SNOMED CT – as the most comprehensive biomedical ontology – has the potential to utilize semantic query methods that operate on the defining attributes of the concepts. This type of semantic querying is widely used, and some of the query languages already extended the attribute constraints with the option for limited lexical and metadata search criteria.
Since the introduction of RF2 the expressibility of SNOMED CT can increase, and various national extensions make use of this extensibility by adding specific description logic features that are relevant for their content.
An example for this is the Singapore Drug Dictionary that is based on the SNOMED CT concept model, but applies additional attribute types. The standard query languages are not powerful enough for such content.
This demonstration introduces a search interface that allows querying both standard SNOMED CT content as well as pharmaceutical extensions that utilize optional description logic extensions. These advanced queries are created by terminologists with an understanding of SNOMED CT. End-users can then use these queries to browse relevant subsets of the terminology appropriate for their use case. For example, clinicians can browse only drugs that are clinically relevant, while regulators can constrain their searches to controlled substances.
The tool also allows early validation of intensional reference set content, without having to implement and publish the reference sets. Practical examples using an online browser (Snow Owl Web) will highlight challenges and lessons learnt when working with real-world clinicians and regulators lacking SNOMED CT training.
Please see our website http://b2i.sg for further information.
Searching SNOMED CT
The purpose of this presentation is to understand techniques for leveraging SNOMED CT's semantics in clinical document search and analysis.
Abstract:
The availability of semantically rich electronic health records utilizing SNOMED CT as a reference terminology continues to grow, providing new opportunities to improve patient care and reduce costs. However, traditional data warehouses struggle to unleash the full semantic meaning within the health records, as the data is built around a limited number of concepts.
This presentation suggests an alternate strategy for executing meaningful queries. EHR data is represented using an information model bound to SNOMED CT terminology, where the information model is agnostic to the underlying standard (e.g. CIMI reference model, Singapores Logical Reference Model, the UKs Logical Record Architecture, HL7, openEHR). Meaningful queries can be formulated using a query language that utilizes the SNOMED CT compositional grammar for post-coordinated expressions. This allows querying on not only the concept hierarchy but also the defining relationships as well, resulting in semantically aggregated patient data. Complex queries can be executed in real-time for millions of EHRs without the need for extraction and aggregation to analytical stores. The results of the query can be further analysed using a cloud-based analytics engine.
Please see our website http://b2i.sg for further information.
Devdays 2017 implementation guide authoring - ardon toonstra
An implementation guide (IG) defines how FHIR resources should be used to solve a particular problem. It includes use cases, actors, examples, and other documentation. IGs can have different scopes, from a single use case to a national strategy. The content of an IG depends on its scope, audience, and producing organization. Technical sections describe interactions and profiles, while other sections cover terminology, security, and conformance resources. Tools can help author and publish IGs.
Advanced .net api (ewout)
This document summarizes an presentation on the advanced .NET API for FHIR by Ewout Kramer of Furore Health Informatics. The presentation introduces the ElementModel, which provides low-level access to FHIR instance data without using POCO classes. It also covers terminology services, FhirPath support, and other features of the .NET API like resource identities and extension manipulation.
Dev days 2017 questionnaires (brian postlethwaite)
FHIR questionnaires can be used to define structured data capture forms and surveys. Questionnaires are defined using the Questionnaire resource and submitted data is contained in the QuestionnaireResponse resource. Questionnaires support validation rules, pre-population of data, mapping responses to other FHIR resources, and more advanced features like scoring. Questionnaires provide a standards-based way to define and capture structured data in healthcare and other domains.
Singapore Drug Dictionary - Developing and integrating a national drug extens...
Maintaining a National Drug Dictionary sets both patient safety challenges and ontological difficulties to the National Release Centres. Pharmacists and ontologists have to cooperate to enable the integrated terminology management that is required to implement drug extensions.
Snow Owl—a terminology management tool—has been extended with a profile for pharmacists for aided data entry utilizing Singapore extension SNOMED CT reference sets. An ontology generation process bridges between the raw pharmacy data and the ontological representation. The generated SNOMED CT concepts are fully defined and augmented with special description logic features to ensure that the classification returns valid results even in unusual use cases, like multi-ingredient products. The generated ontology includes all the semantics necessary to build intensional reference sets that support different clinical use cases like prescribing, dispensing or administration while the semantic query mechanisms that employ the ontological nature of SNOMED CT foster research and decision support on the Drug Dictionary.
Please see our website http://b2i.sg for further information.
Recommended
The Logical Model Designer - Binding Information Models to Terminology
This presentation demonstrates the functionality provided by the Logical Model Designer (LMD) and Snow Owl tools, which enables terminology to be bound to the Singapore Logical Information Model.
Abstract:
A critical enabler in the journey towards semantic interoperability in Singapore is the Singapore "˜Logical Information Model' (LIM). The LIM is a model of the healthcare information shared within Singapore, and is defined as a set of reusable "˜archetypes' for each clinical concept (e.g. Problem/Diagnosis, Pharmacy Order). These archetypes are then constrained and composed into "˜templates' to support specific use cases.
The Singapore LIM harmonises the semantics of the information structures with the terminology, using multiple types of terminology bindings, including semantic, value domain and constraint bindings. Value domain bindings are defined to both national "˜reference terminology' (used for querying nationally-collated data), as well as to a variety of "˜interface terminologies' used within local clinical systems (required to enforce conformance-compliance rules over message specifications generated from the LIM). To support the diversity of pre-coordination captured in local interface terms, "˜design patterns' are included in the LIM, based on the SNOMED CT concept model. These design patterns represent a logical model of meaning for a specific concept, and allow more than one split between the information model and the terminology model to be represented in a semantically-consistent manner.
This presentation will demonstrate the "˜Logical Model Designer' (LMD) - an Eclipse-based tool that is being used to maintain Singapore's Logical Information Model. A number of features of the LMD tooling will be demonstrated, with a specific focus on how the information structure is bound to the terminology via an interface to the Snow Owl platform. Value Domains are defined as reference sets within Snow Owl and then linked to the information structures defined in the LMD.
Please see our website http://b2i.sg for further information.
Implementing an HL7 version 3 modeling tool from an Ecore model
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.
A simple web-based interface for advanced SNOMED CT queries
SNOMED CT – as the most comprehensive biomedical ontology – has the potential to utilize semantic query methods that operate on the defining attributes of the concepts. This type of semantic querying is widely used, and some of the query languages already extended the attribute constraints with the option for limited lexical and metadata search criteria.
Since the introduction of RF2 the expressibility of SNOMED CT can increase, and various national extensions make use of this extensibility by adding specific description logic features that are relevant for their content.
An example for this is the Singapore Drug Dictionary that is based on the SNOMED CT concept model, but applies additional attribute types. The standard query languages are not powerful enough for such content.
This demonstration introduces a search interface that allows querying both standard SNOMED CT content as well as pharmaceutical extensions that utilize optional description logic extensions. These advanced queries are created by terminologists with an understanding of SNOMED CT. End-users can then use these queries to browse relevant subsets of the terminology appropriate for their use case. For example, clinicians can browse only drugs that are clinically relevant, while regulators can constrain their searches to controlled substances.
The tool also allows early validation of intensional reference set content, without having to implement and publish the reference sets. Practical examples using an online browser (Snow Owl Web) will highlight challenges and lessons learnt when working with real-world clinicians and regulators lacking SNOMED CT training.
Please see our website http://b2i.sg for further information.
Searching SNOMED CT
The purpose of this presentation is to understand techniques for leveraging SNOMED CT's semantics in clinical document search and analysis.
Abstract:
The availability of semantically rich electronic health records utilizing SNOMED CT as a reference terminology continues to grow, providing new opportunities to improve patient care and reduce costs. However, traditional data warehouses struggle to unleash the full semantic meaning within the health records, as the data is built around a limited number of concepts.
This presentation suggests an alternate strategy for executing meaningful queries. EHR data is represented using an information model bound to SNOMED CT terminology, where the information model is agnostic to the underlying standard (e.g. CIMI reference model, Singapores Logical Reference Model, the UKs Logical Record Architecture, HL7, openEHR). Meaningful queries can be formulated using a query language that utilizes the SNOMED CT compositional grammar for post-coordinated expressions. This allows querying on not only the concept hierarchy but also the defining relationships as well, resulting in semantically aggregated patient data. Complex queries can be executed in real-time for millions of EHRs without the need for extraction and aggregation to analytical stores. The results of the query can be further analysed using a cloud-based analytics engine.
Please see our website http://b2i.sg for further information.
Devdays 2017 implementation guide authoring - ardon toonstra
An implementation guide (IG) defines how FHIR resources should be used to solve a particular problem. It includes use cases, actors, examples, and other documentation. IGs can have different scopes, from a single use case to a national strategy. The content of an IG depends on its scope, audience, and producing organization. Technical sections describe interactions and profiles, while other sections cover terminology, security, and conformance resources. Tools can help author and publish IGs.
Advanced .net api (ewout)
This document summarizes an presentation on the advanced .NET API for FHIR by Ewout Kramer of Furore Health Informatics. The presentation introduces the ElementModel, which provides low-level access to FHIR instance data without using POCO classes. It also covers terminology services, FhirPath support, and other features of the .NET API like resource identities and extension manipulation.
Dev days 2017 questionnaires (brian postlethwaite)
FHIR questionnaires can be used to define structured data capture forms and surveys. Questionnaires are defined using the Questionnaire resource and submitted data is contained in the QuestionnaireResponse resource. Questionnaires support validation rules, pre-population of data, mapping responses to other FHIR resources, and more advanced features like scoring. Questionnaires provide a standards-based way to define and capture structured data in healthcare and other domains.
Singapore Drug Dictionary - Developing and integrating a national drug extens...
Maintaining a National Drug Dictionary sets both patient safety challenges and ontological difficulties to the National Release Centres. Pharmacists and ontologists have to cooperate to enable the integrated terminology management that is required to implement drug extensions.
Snow Owl—a terminology management tool—has been extended with a profile for pharmacists for aided data entry utilizing Singapore extension SNOMED CT reference sets. An ontology generation process bridges between the raw pharmacy data and the ontological representation. The generated SNOMED CT concepts are fully defined and augmented with special description logic features to ensure that the classification returns valid results even in unusual use cases, like multi-ingredient products. The generated ontology includes all the semantics necessary to build intensional reference sets that support different clinical use cases like prescribing, dispensing or administration while the semantic query mechanisms that employ the ontological nature of SNOMED CT foster research and decision support on the Drug Dictionary.
Please see our website http://b2i.sg for further information.
Building a Scenario using clinFHIR
This document provides an overview of a two-day training on building clinical scenarios using FHIR (Fast Healthcare Interoperability Resources). Day one focuses on reviewing key FHIR elements like resources and references, and using tools like clinFHIR to create logical models, resource models, and reference graphs. Day two will cover structured and coded data as well as generating FHIR artifacts like extensions, value sets, and profiles. Exercises are provided to help attendees work through creating a sample clinical document.
Fhir foundation (grahame)
The document discusses the HL7 FHIR Foundation, which promotes global adoption and implementation of the FHIR standard. The Foundation provides educational materials, tools, websites and project support to help the FHIR community collaborate and expand interoperability. It also discusses the FHIR community, which publishes implementation guides to support FHIR. Some guides are published by HL7, while others are published directly by the community. The Foundation provides ongoing infrastructure services to support the FHIR community.
Furore devdays 2017-sdc (lloyd)
The Structured Data Capture (SDC) project aimed to standardize how healthcare data elements and questionnaires are shared using FHIR. The SDC implementation guide supports pre-populating and auto-populating questionnaire responses using mappings between questions and data elements. This allows reducing data entry errors and time. Future work will generalize the SDC guide for international use and explore additional ways to map questions to source data.
Furore devdays2017 general-introtofhir
This document summarizes a presentation about FHIR (Fast Healthcare Interoperability Resources). It defines FHIR as the latest HL7 standard for exchanging electronic healthcare information using standardized "resources" as basic building blocks. The presentation describes what resources are and provides examples, explains the FHIR acronym, and outlines four paradigms for interoperability supported by FHIR including REST, documents, messages, and services. It also provides links to FHIR specification documentation and outlines the FHIR timeline.
Furore devdays 2017 - workflow
The document discusses the FHIR Workflow project which aims to improve how FHIR represents clinical workflows and requests. It describes the process undertaken over two years, including defining new workflow patterns using Request, Definition, and Event resources. It provides examples of how these patterns can be used to represent different workflow scenarios and statuses. Future plans include aligning all FHIR resources with these patterns and publishing more workflow examples.
Furore devdays 2017- rdf2(solbrig)
Harold Solbrig presented on representing FHIR resources as RDF and using description logic reasoning. Key points included: expressing a FHIR DiagnosticReport as RDF triples and OWL ontology, using an OWL reasoner to classify instances and derive new conclusions, and loading FHIR data into the i2b2 framework by converting to RDF. The talk also discussed post-coordinated expressions and potential uses of a fhir.schema.org vocabulary.
Furore devdays2017 tdd-2-advanced
This document summarizes a presentation on advanced test driven development with FHIR. It introduces complex testing concepts like FHIRPath expressions for assertions, rules and rulesets, and client/peer-to-peer testing. It also discusses the Touchstone test platform's conformance analytics dashboards and APIs for integrating testing into continuous integration pipelines. The presentation concludes with an overview of hands-on exercises to apply these advanced testing techniques.
Security overview (grahame)
FHIR provides standards for security including authentication, authorization, access control, digital signatures, audit trails, and security labels. Authentication verifies a user's identity, while authorization determines what resources a user can access. Access control engines enforce authorization and other rules. Digital signatures can be applied to resources and bundles to ensure integrity. Audit trails and provenance track access. Security labels make access restrictions like confidentiality explicit. Ongoing work continues on authorization models and how to apply signatures to RESTful resources.
Fhir dev days_basic_fhir_terminology_services
The document provides an overview of basic FHIR terminology services including:
- CodeSystem resources which define collections of terms and can be used for lookups and subsumption checks.
- ValueSet resources which define sets of codes drawn from CodeSystems and can be expanded or used to validate codes.
- ConceptMap resources which define mappings between ValueSets and can be used for translation.
- Common terminology operations like $expand, $lookup, $validate-code and $translate.
- Examples of integrating terminology in applications and some tips for using terminology services efficiently.
Building bridges devdays 2017- powerpoint template
This document discusses mapping data from HL7 Version 2 (V2) format to FHIR resources using RESTful transactions. It describes how an integration engine can:
1) Use conditional updates and patient identifiers to determine whether to create or update FHIR patient resources from V2 data.
2) Use conditional deletes with tags to purge and recreate FHIR allergy intolerance resources from updated V2 data.
3) Address challenges around referencing resources before they have URLs and handling merges or updates that modify existing data.
Furore devdays2017 tdd-1-intro
Richard Ettema presented on test driven development using FHIR. He discussed how continuous testing through TestScripts can help ensure interoperability and reduce risks compared to one-time testing. Touchstone is a publicly available testing platform that executes TestScripts against FHIR implementations. Organizations can use Touchstone for conformance testing, during software development, and to author their own TestScripts. Hands-on exercises demonstrated registering with Touchstone and executing sample TestScripts.
Profiling with clin fhir
The document discusses profiling with clinFHIR. It outlines the agenda which includes reviewing key FHIR elements, clinical models, and resources. It then discusses the need to adapt FHIR to specific contexts through profiling. Profiling involves constraining resources, changing coded element bindings, and adding extensions. It provides examples of how profiling can limit names to one, change value sets, and require identifiers. The talk will cover structured and coded data including value sets and extensions. It will demonstrate creating extension definitions and profiles using clinFHIR.
Furore devdays 2017- fhir and devices - cooper thc2
This document discusses connecting medical devices to applications using FHIR. It describes the types of devices that could be connected, from point-of-care devices in hospitals to personal health devices used at home. Integrating information from these devices into applications can provide value by giving a more complete view of patient data. The Devices on FHIR initiative aims to develop FHIR profiles and implementation guides to standardize how device data is represented and exchanged. Future plans include finalizing profiles for personal and point-of-care devices and continuing community efforts to test and refine device integration using FHIR.
fhir-documents
- FHIR provides a standard way to represent clinical documents as bundles of FHIR resources bound together with a Composition resource similar to a CDA header and narrative.
- Document bundles can be generated from or decomposed into their component resources using FHIR APIs and operations.
- Validating, storing, and exchanging clinical documents as FHIR resources satisfies the same persistence, stewardship, and authentication requirements as CDA documents.
2017 11-ccda-on-fhir
- C-CDA on FHIR is an HL7 implementation guide that defines FHIR profiles for representing C-CDA templates using FHIR resources and profiles. It maps each C-CDA document template to a FHIR Composition profile along with contained sections. Coded data is represented using relevant US Core profiles.
- The guide includes Composition profiles, examples, and extensions to represent key parts of C-CDAs in FHIR. Common document types like CCD are profiled.
- Profiles leverage relevant US Core profiles for resources referenced in C-CDA documents, like Patient, Practitioner, AllergyIntolerance, and Condition.
Beginners .net api dev days2017
Mirjam Baltus introduced the Hl7.Fhir.STU3 .NET package for working with FHIR resources and APIs. It includes classes mapped from the FHIR specification to represent resources and data types in C#, as well as a FhirClient for interacting with FHIR servers through CRUD and search operations. Extensions can be added to resources, and the client supports transactions, paging through search results, and inspecting request/response details. Hands-on coding sessions were encouraged to explore using the API.
Fhir dev days_advanced_fhir_terminology_services
This document discusses advanced terminology services for FHIR including SNOMED CT. It provides an overview of FHIR terminology including concept maps, code systems, and value sets. It demonstrates Shrimp for browsing terminologies, Snapper for authoring FHIR resources, and discusses implicit value sets, versioning, the Expression Constraint Language, and code system operations like $subsumes and $closure. Practical tips are provided for efficient terminology server usage and handling complex value sets.
Fhir dev days 2017 fhir profiling - overview and introduction v07
This document provides an overview of FHIR profiling and introduces some key concepts:
1. Profiling is needed to adapt FHIR resources to specific contexts and local requirements. Profiles constrain elements and extensions to describe how FHIR is used.
2. Conformance resources like StructureDefinition, OperationDefinition, and CapabilityStatement define profiles, operations, and server capabilities. Profiles are published to repositories and drive validation, code generation, and more.
3. Extensions allow custom elements to be introduced where needed. Extensions and how they can be used in profiles and resources are described.
4. Implementation guides combine related artifacts like profiles and page content into conformance packages for sharing implementations.
BizTalk on FHIR
FHIR refers to Fast Health Interoperable Resources, and it is the next generation standards framework, and combines the best features of HL7 Version 2, Version 3, and the CDA product lines. If you work with HL7 Version 3 Product Suite, Continuity of Care Document (CD), or CDA - then you will know how complex it gets to work with these in BizTalk. FHIR standard helps you to overcome this problem. In this session, Howard Edidin speaks about the problems that FHIR® solves.
Integrating with the epic platform fhir dev days 17
Zach Vaughan presented on integrating with the Epic platform using FHIR and emerging standards. Epic supports FHIR through its open APIs and the FHIRcast event notification system, allowing external applications and systems to access data in the Epic EHR and be notified of relevant events. FHIR resources like Patient, Practitioner, and Observation are available today from Epic, with more like Medication Request and Diagnostic Report coming in 2018.
Going Beyond the EMR for Data-driven Insights in Healthcare
Join Dr. Marcie Stoshak-Chavez, MD, FACEP, Director of Healthcare Strategic Advisory Services at Perficient and Mr. J.D. Whitlock, Director of Clinical & Business Intelligence at Catholic Health Partners to learn how analytics is being used to measure and monitor performance and provide service-line directors and financial administrators with reporting and analysis that enhances clinical care processes and business operations.
Learn how clinicians and administrators armed with the data-driven insights from the EMR and beyond can:
Derive meaningful insights for care delivery by analyzing clinical, financial and operational data
Collaborate more effectively and improve quality of care by securely sharing insights among providers
Meaningfully measure and understand performance across key Federally mandated measures and take prescribed action
Stay on top of shifts in regulatory policy that impact reimbursements and quality requirements
Healthcare Enterprise Data Model: The Buy vs. Build Debate
Every mid-to-large-sized healthcare organization will at some point need an enterprise data warehouse to consolidate data from its many source systems. The first question most will ask is, “Do I build it from scratch or buy a model?”
For some organizations, the answer to this question is simple and obvious. For others, it may be the source of internal debate on whether someone else can create a model that will address their nuances. Some will argue that a pre-built model will save time and money and should be explored as an option, while others may curb discussions due to the belief that their electronic medical records vendor already has it figured out.
In this webinar, we explored the pros and cons of building your own data model vs. buying one and looked at real customer use cases to help weigh the pros and cons of this critical enterprise decision. Topics included:
-How experience plays into the equation
-Which solution delivers value more quickly
-Which solution helps reduce the risk to the organization
-How easy is it to integrate other solutions
-How the decision to build vs. buy can impact your internal team
More Related Content
What's hot
Building a Scenario using clinFHIR
This document provides an overview of a two-day training on building clinical scenarios using FHIR (Fast Healthcare Interoperability Resources). Day one focuses on reviewing key FHIR elements like resources and references, and using tools like clinFHIR to create logical models, resource models, and reference graphs. Day two will cover structured and coded data as well as generating FHIR artifacts like extensions, value sets, and profiles. Exercises are provided to help attendees work through creating a sample clinical document.
Fhir foundation (grahame)
The document discusses the HL7 FHIR Foundation, which promotes global adoption and implementation of the FHIR standard. The Foundation provides educational materials, tools, websites and project support to help the FHIR community collaborate and expand interoperability. It also discusses the FHIR community, which publishes implementation guides to support FHIR. Some guides are published by HL7, while others are published directly by the community. The Foundation provides ongoing infrastructure services to support the FHIR community.
Furore devdays 2017-sdc (lloyd)
The Structured Data Capture (SDC) project aimed to standardize how healthcare data elements and questionnaires are shared using FHIR. The SDC implementation guide supports pre-populating and auto-populating questionnaire responses using mappings between questions and data elements. This allows reducing data entry errors and time. Future work will generalize the SDC guide for international use and explore additional ways to map questions to source data.
Furore devdays2017 general-introtofhir
This document summarizes a presentation about FHIR (Fast Healthcare Interoperability Resources). It defines FHIR as the latest HL7 standard for exchanging electronic healthcare information using standardized "resources" as basic building blocks. The presentation describes what resources are and provides examples, explains the FHIR acronym, and outlines four paradigms for interoperability supported by FHIR including REST, documents, messages, and services. It also provides links to FHIR specification documentation and outlines the FHIR timeline.
Furore devdays 2017 - workflow
The document discusses the FHIR Workflow project which aims to improve how FHIR represents clinical workflows and requests. It describes the process undertaken over two years, including defining new workflow patterns using Request, Definition, and Event resources. It provides examples of how these patterns can be used to represent different workflow scenarios and statuses. Future plans include aligning all FHIR resources with these patterns and publishing more workflow examples.
Furore devdays 2017- rdf2(solbrig)
Harold Solbrig presented on representing FHIR resources as RDF and using description logic reasoning. Key points included: expressing a FHIR DiagnosticReport as RDF triples and OWL ontology, using an OWL reasoner to classify instances and derive new conclusions, and loading FHIR data into the i2b2 framework by converting to RDF. The talk also discussed post-coordinated expressions and potential uses of a fhir.schema.org vocabulary.
Furore devdays2017 tdd-2-advanced
This document summarizes a presentation on advanced test driven development with FHIR. It introduces complex testing concepts like FHIRPath expressions for assertions, rules and rulesets, and client/peer-to-peer testing. It also discusses the Touchstone test platform's conformance analytics dashboards and APIs for integrating testing into continuous integration pipelines. The presentation concludes with an overview of hands-on exercises to apply these advanced testing techniques.
Security overview (grahame)
FHIR provides standards for security including authentication, authorization, access control, digital signatures, audit trails, and security labels. Authentication verifies a user's identity, while authorization determines what resources a user can access. Access control engines enforce authorization and other rules. Digital signatures can be applied to resources and bundles to ensure integrity. Audit trails and provenance track access. Security labels make access restrictions like confidentiality explicit. Ongoing work continues on authorization models and how to apply signatures to RESTful resources.
Fhir dev days_basic_fhir_terminology_services
The document provides an overview of basic FHIR terminology services including:
- CodeSystem resources which define collections of terms and can be used for lookups and subsumption checks.
- ValueSet resources which define sets of codes drawn from CodeSystems and can be expanded or used to validate codes.
- ConceptMap resources which define mappings between ValueSets and can be used for translation.
- Common terminology operations like $expand, $lookup, $validate-code and $translate.
- Examples of integrating terminology in applications and some tips for using terminology services efficiently.
Building bridges devdays 2017- powerpoint template
This document discusses mapping data from HL7 Version 2 (V2) format to FHIR resources using RESTful transactions. It describes how an integration engine can:
1) Use conditional updates and patient identifiers to determine whether to create or update FHIR patient resources from V2 data.
2) Use conditional deletes with tags to purge and recreate FHIR allergy intolerance resources from updated V2 data.
3) Address challenges around referencing resources before they have URLs and handling merges or updates that modify existing data.
Furore devdays2017 tdd-1-intro
Richard Ettema presented on test driven development using FHIR. He discussed how continuous testing through TestScripts can help ensure interoperability and reduce risks compared to one-time testing. Touchstone is a publicly available testing platform that executes TestScripts against FHIR implementations. Organizations can use Touchstone for conformance testing, during software development, and to author their own TestScripts. Hands-on exercises demonstrated registering with Touchstone and executing sample TestScripts.
Profiling with clin fhir
The document discusses profiling with clinFHIR. It outlines the agenda which includes reviewing key FHIR elements, clinical models, and resources. It then discusses the need to adapt FHIR to specific contexts through profiling. Profiling involves constraining resources, changing coded element bindings, and adding extensions. It provides examples of how profiling can limit names to one, change value sets, and require identifiers. The talk will cover structured and coded data including value sets and extensions. It will demonstrate creating extension definitions and profiles using clinFHIR.
Furore devdays 2017- fhir and devices - cooper thc2
This document discusses connecting medical devices to applications using FHIR. It describes the types of devices that could be connected, from point-of-care devices in hospitals to personal health devices used at home. Integrating information from these devices into applications can provide value by giving a more complete view of patient data. The Devices on FHIR initiative aims to develop FHIR profiles and implementation guides to standardize how device data is represented and exchanged. Future plans include finalizing profiles for personal and point-of-care devices and continuing community efforts to test and refine device integration using FHIR.
fhir-documents
- FHIR provides a standard way to represent clinical documents as bundles of FHIR resources bound together with a Composition resource similar to a CDA header and narrative.
- Document bundles can be generated from or decomposed into their component resources using FHIR APIs and operations.
- Validating, storing, and exchanging clinical documents as FHIR resources satisfies the same persistence, stewardship, and authentication requirements as CDA documents.
2017 11-ccda-on-fhir
- C-CDA on FHIR is an HL7 implementation guide that defines FHIR profiles for representing C-CDA templates using FHIR resources and profiles. It maps each C-CDA document template to a FHIR Composition profile along with contained sections. Coded data is represented using relevant US Core profiles.
- The guide includes Composition profiles, examples, and extensions to represent key parts of C-CDAs in FHIR. Common document types like CCD are profiled.
- Profiles leverage relevant US Core profiles for resources referenced in C-CDA documents, like Patient, Practitioner, AllergyIntolerance, and Condition.
Beginners .net api dev days2017
Mirjam Baltus introduced the Hl7.Fhir.STU3 .NET package for working with FHIR resources and APIs. It includes classes mapped from the FHIR specification to represent resources and data types in C#, as well as a FhirClient for interacting with FHIR servers through CRUD and search operations. Extensions can be added to resources, and the client supports transactions, paging through search results, and inspecting request/response details. Hands-on coding sessions were encouraged to explore using the API.
Fhir dev days_advanced_fhir_terminology_services
This document discusses advanced terminology services for FHIR including SNOMED CT. It provides an overview of FHIR terminology including concept maps, code systems, and value sets. It demonstrates Shrimp for browsing terminologies, Snapper for authoring FHIR resources, and discusses implicit value sets, versioning, the Expression Constraint Language, and code system operations like $subsumes and $closure. Practical tips are provided for efficient terminology server usage and handling complex value sets.
Fhir dev days 2017 fhir profiling - overview and introduction v07
This document provides an overview of FHIR profiling and introduces some key concepts:
1. Profiling is needed to adapt FHIR resources to specific contexts and local requirements. Profiles constrain elements and extensions to describe how FHIR is used.
2. Conformance resources like StructureDefinition, OperationDefinition, and CapabilityStatement define profiles, operations, and server capabilities. Profiles are published to repositories and drive validation, code generation, and more.
3. Extensions allow custom elements to be introduced where needed. Extensions and how they can be used in profiles and resources are described.
4. Implementation guides combine related artifacts like profiles and page content into conformance packages for sharing implementations.
BizTalk on FHIR
FHIR refers to Fast Health Interoperable Resources, and it is the next generation standards framework, and combines the best features of HL7 Version 2, Version 3, and the CDA product lines. If you work with HL7 Version 3 Product Suite, Continuity of Care Document (CD), or CDA - then you will know how complex it gets to work with these in BizTalk. FHIR standard helps you to overcome this problem. In this session, Howard Edidin speaks about the problems that FHIR® solves.
Integrating with the epic platform fhir dev days 17
Zach Vaughan presented on integrating with the Epic platform using FHIR and emerging standards. Epic supports FHIR through its open APIs and the FHIRcast event notification system, allowing external applications and systems to access data in the Epic EHR and be notified of relevant events. FHIR resources like Patient, Practitioner, and Observation are available today from Epic, with more like Medication Request and Diagnostic Report coming in 2018.
What's hot (20)
Building bridges devdays 2017- powerpoint template
Building bridges devdays 2017- powerpoint template
Furore devdays 2017- fhir and devices - cooper thc2
Furore devdays 2017- fhir and devices - cooper thc2
Fhir dev days 2017 fhir profiling - overview and introduction v07
Fhir dev days 2017 fhir profiling - overview and introduction v07
Integrating with the epic platform fhir dev days 17
Integrating with the epic platform fhir dev days 17
Viewers also liked
Going Beyond the EMR for Data-driven Insights in Healthcare
Join Dr. Marcie Stoshak-Chavez, MD, FACEP, Director of Healthcare Strategic Advisory Services at Perficient and Mr. J.D. Whitlock, Director of Clinical & Business Intelligence at Catholic Health Partners to learn how analytics is being used to measure and monitor performance and provide service-line directors and financial administrators with reporting and analysis that enhances clinical care processes and business operations.
Learn how clinicians and administrators armed with the data-driven insights from the EMR and beyond can:
Derive meaningful insights for care delivery by analyzing clinical, financial and operational data
Collaborate more effectively and improve quality of care by securely sharing insights among providers
Meaningfully measure and understand performance across key Federally mandated measures and take prescribed action
Stay on top of shifts in regulatory policy that impact reimbursements and quality requirements
Healthcare Enterprise Data Model: The Buy vs. Build Debate
Every mid-to-large-sized healthcare organization will at some point need an enterprise data warehouse to consolidate data from its many source systems. The first question most will ask is, “Do I build it from scratch or buy a model?”
For some organizations, the answer to this question is simple and obvious. For others, it may be the source of internal debate on whether someone else can create a model that will address their nuances. Some will argue that a pre-built model will save time and money and should be explored as an option, while others may curb discussions due to the belief that their electronic medical records vendor already has it figured out.
In this webinar, we explored the pros and cons of building your own data model vs. buying one and looked at real customer use cases to help weigh the pros and cons of this critical enterprise decision. Topics included:
-How experience plays into the equation
-Which solution delivers value more quickly
-Which solution helps reduce the risk to the organization
-How easy is it to integrate other solutions
-How the decision to build vs. buy can impact your internal team
HIE-Enabled Data Sharing Between Hospital and Home Care Providers to Improve ...
HIE-Enabled Data Sharing Between Hospital and Home Care Providers to Improve ...New York eHealth Collaborative
Two of the New York metro area’s largest provider organizations will share their experiences leveraging HIE as one of many tools to decrease fragmentation of care and improve patients’ experiences across acute and post-acute care settings for patients undergoing elective surgeries. Representatives from NYULMC and VNSNY will summarize their efforts to redesign more personalized specific care pathways and the central role played by the implementation of real-time data exchange to provide a seamless transfer of clinical data between providers caring for the patient at the time of discharge and throughout the post-acute period.
• Kathleen Mullaly - Senior Director for Clinical Operations, Department of Network Integration, NYU Langone Medical Center
• Amy Weiss - Director for Strategic Account Development, Integrated Delivery Systems, Visiting Nurse Service of New York (VNSNY)
New York eHealth Collaborative Digital Health Conference
November 18, 2014Splunking HL7 Healthcare Data for Business Value
Healthcare data is time-oriented and diverse. HL7 (Health Level Seven International) is a set of interoperability standards, formats and definitions for exchanging data between software applications used by healthcare providers. In this session, learn how to leverage HL7 data for business value. Through a presentation and demo’s, we will discuss a variety of HL7 use cases from exploring HL7 data within Splunk, addressing missing orders investigations, queuing up integrations, and others. Also, you can learn about the health of the system that is providing these services by using Splunk ITSI.
HEALTHCARE Business Model Storyboard (BMS): Cost effectively increase perform...
The document describes a 3P-Business Model Storyboard (BMS) for use in healthcare. The storyboard is divided into three sections - Past, Present, and Future - represented by the three Ps of Provider, Patient Care, and Performance. Each section contains 9 storycards addressing topics such as partners/inputs, value proposition, pain points, processes, and outcomes. The storyboard is a tool for mapping how an organization's past, present, and future states address the three Ps in order to improve performance.
Uml diagram for_hospital_management_system
This document contains a project report on analyzing and designing a hospital management system using UML diagrams. It includes requirements for the system, descriptions of UML diagram types used (use case, class, object, activity, state, sequence), and examples of each diagram type developed for the hospital management system. The diagrams model key entities like patients, doctors, departments and their relationships to depict the system's structure and behavior.
Hospital Management System
Hi! This is a slide show that make me feel to upload that, in our college the final year project assignment has been adopted from this slide. So you guys really feel that this slide is a great one to download and have a look exactly whats are in a Hospital management system has.
Queueing Models in Healthcare
Brief overview of how queueing models can be be linked with big data initiatives to more accurately forecast demand
and revenues, improve care delivery pathways, plan resources and assess new projects.
Neo4j - 5 cool graph examples
This document discusses graph databases and provides examples of how the Neo4j graph database can be used. It shows how Neo4j supports social, spatial, financial and other types of connected data. It also summarizes Neo4j's REST API, support for object-oriented programming, routing algorithms, multiple indexes, recommendation systems, and other use cases. The document advocates for graph databases for any problem involving multiple relationships and connections between entities.
[PPT] Hospital management system - Quanta-his
This document provides an overview of Birlamedisoft's Quanta hospital information management system (HIMS). It includes menus and descriptions for modules related to patient registration, billing, laboratory, radiology, pharmacy, inventory, housekeeping, and more. Graphics display sample interfaces for registration cards, dashboards, imaging controls, and connectivity to various medical devices. The system aims to manage all clinical, administrative and financial aspects of healthcare facilities.
Hospital management system(database)
The document describes a project for a hospital management system. The project was submitted to fulfill degree requirements and automate operations for a small hospital. It includes developing databases to store information on patients, doctors, staff, diagnoses, and bills. Entity relationship diagrams and tables were designed for the logical and physical database structures. The system allows admission of patients, storing their details and appointments, doctor consultations, prescriptions, and billing. It aims to computerize a hospital's operations and provide effective storage and reports on patient information.
Data Modeling with Neo4j
Neo4j is a powerful and expressive tool for storing, querying and manipulating data. However modeling data as graphs is quite different from modeling data under a relational database. In this talk, Michael Hunger will cover modeling business domains using graphs and show how they can be persisted and queried in Neo4j. We'll contrast this approach with the relational model, and discuss the impact on complexity, flexibility and performance.
Viewers also liked (12)
Going Beyond the EMR for Data-driven Insights in Healthcare
Going Beyond the EMR for Data-driven Insights in Healthcare
Healthcare Enterprise Data Model: The Buy vs. Build Debate
Healthcare Enterprise Data Model: The Buy vs. Build Debate
HIE-Enabled Data Sharing Between Hospital and Home Care Providers to Improve ...
HIE-Enabled Data Sharing Between Hospital and Home Care Providers to Improve ...
HEALTHCARE Business Model Storyboard (BMS): Cost effectively increase perform...
HEALTHCARE Business Model Storyboard (BMS): Cost effectively increase perform...
Similar to Snow Owl Platform. Unlocking the meaning from healthcare data.
Webinar: Fusion 3.1 - What's New
Fusion 3.1 comes with exciting new features that will make your search more personal and better targeted. Join us for a webinar to learn more about Fusion's features, what's new in this release, and what's around the corner for Fusion.
Apache Solr vs Oracle Endeca
The document compares the enterprise search platforms Apache Solr and Oracle Endeca. It provides an overview of each project and compares their key features. Apache Solr is an open source search platform built on Lucene, while Oracle Endeca is a commercial product that provides out-of-the-box tools for business users but has more constrained customization options than Solr. The document concludes Solr provides more flexibility but requires more work to implement features for business users, while Endeca has features for non-technical users but is more difficult to customize for diverse business needs.
Accessing SNOMED CT With FHIR Terminology Services
The document discusses using FHIR terminology services to access SNOMED CT. It describes the complexity of terminologies and need for consistent implementation. FHIR provides a standard way to build terminology APIs to address common application needs like retrieving codes, validation, translation and search. Value sets in FHIR can represent subsets of codes from SNOMED CT and be expanded for use. A New Zealand implementation example is provided.
Snk fhir-for-OpenMRS-wip-07102014
Regenstrief Work In Progress (WIP) presentation on integrating FHIR standard support for OpenMRS (10th July 2014)
Resume_VipinKP
This document contains the resume of Vipin KP, who has over 5 years of experience as a Big Data Hadoop Developer. He has extensive experience developing Hadoop applications for clients such as EMC, Apple, Dun & Bradstreet, Neilsen, Commonwealth Bank of Australia, and Nokia Siemens Network. He has expertise in technologies such as Hadoop, Hive, Pig, Sqoop, Oozie, and Spark and has developed ETL processes, data pipelines, and analytics solutions on Hadoop clusters. He holds a Master's degree in Computer Science and is Cloudera certified in Hadoop development.
Enabling IoT Devices’ Hardware and Software Interoperability, IPSO Alliance (...
Enabling IoT Devices’ Hardware and Software Interoperability, IPSO Alliance (...Open Mobile Alliance
Presentation delivered during the Internet of Things World, Santa Clara pre-event workshop by Christian Legare - IPSO Alliance Chairman, Chief of Software Engineering, Micrium (Part of Silicon Labs)
Internet Protocol for Smart Objects (IPSO) is an alliance that, among other things, defines a data model to represent sensor values and attributes. OMA uses IPSO Smart Objects v1.0 as its resource model to expose sensor information to a remote LwM2M Server. From the speaker from IPSO Alliance, you will learn:
● What is an IPSO Smart Object data model
● What do these Objects and Resources look like
● How to create and register your own resources
● What is next for IPSO AllianceWebinar: Scaling MongoDB
Has your app taken off? Are you thinking about scaling? MongoDB makes it easy to horizontally scale out with built-in automatic sharding, but did you know that sharding isn't the only way to achieve scale with MongoDB?
In this webinar, we'll review three different ways to achieve scale with MongoDB. We'll cover how you can optimize your application design and configure your storage to achieve scale, as well as the basics of horizontal scaling. You'll walk away with a thorough understanding of options to scale your MongoDB application.
Topics covered include:
- Scaling Vertically
- Hardware Considerations
- Index Optimization
- Schema Design
- Sharding
WSO2 Data Analytics Server - Product Overview
WSO2 Data Analytics Server is a comprehensive enterprise data analytics platform; it fuses batch and real-time analytics of any source of data with predictive analytics via machine learning.
PoolParty Semantic Suite: Management Briefing and Functional Overview
Slides for the presentation of PoolParty Semantic Suite on 12.11. 2015 at KNVI Congres 2015 in Utrecht, the Netherlands, see: http://congres.knvi.info/ by Martin Kaltenböck in the Big Data & Linked Data Session.
ODSC and iRODS
The document summarizes an Open Data Science Conference and iRODS User Group meeting. It discusses technologies like Julia, Stan, Scikit-learn, Apache Spark, Apache Hadoop, and Apache Hive that were presented. It provides information on keynote speakers and their affiliated companies. The document also lists topics for training workshops and good talks available online. Finally, it summarizes questions asked about iRODS and provides information on implementing data policy rules.
Actionable Data: Mastering the Hybrid Analytics Mix
With an increase in the adoption of cloud applications, most organizations today are in some form of hybrid state (i.e. using a combination of on-premise and cloud applications to run their business). Regardless of where the data resides, you need a complete view of the company spanning across different parts of the business, combining insightful data across both onsite and public cloud instances.
In this webinar, we looked at multiple approaches that organizations have successfully used to consolidate data from multiple cloud and on-premise applications and to perform seamless analytics across these varied data sources.
Im symposium presentation - OCR and Text analytics for Medical Chart Review ...
This document discusses using optical character recognition (OCR) and text analytics to analyze unstructured medical text from electronic and paper medical records. It describes Independence Blue Cross's distributed OCR and text analytics workflow that converts images to text and analyzes the text using tools like Hadoop, Lucene, and Weka. Business cases for this approach include product recalls, entity extraction from medical charts, and improving nurses' chart review processes. The document provides biographies of several individuals and describes components of the OCR, text analytics, Hadoop, and AQL systems.
Business Intelligence and Big Data Analytics with Pentaho
This webinar gives an overview of the Pentaho technology stack and then delves deep into its features like ETL, Reporting, Dashboards, Analytics and Big Data. The webinar also facilitates a cross industry perspective and how Pentaho can be leveraged effectively for decision making. In the end, it also highlights how apart from strong technological features, low TCO is central to Pentaho’s value proposition. For BI technology enthusiasts, this webinar presents easiest ways to learn an end to end analytics tool. For those who are interested in developing a BI / Analytics toolset for their organization, this webinar presents an interesting option of leveraging low cost technology. For big data enthusiasts, this webinar presents overview of how Pentaho has come out as a leader in data integration space for Big data.
Pentaho is one of the leading niche players in Business Intelligence and Big Data Analytics. It offers a comprehensive, end-to-end open source platform for Data Integration and Business Analytics. Pentaho’s leading product: Pentaho Business Analytics is a data integration, BI and analytics platform composed of ETL, OLAP, reporting, interactive dashboards, ad hoc analysis, data mining and predictive analytics.
ICIC 2014 New Product Introduction ProQuest
ProQuest Dialog is a new search platform that provides:
1) Access to over 40 patent databases, 60 engineering databases, and other sources covering topics such as biomedical research, news, and trade.
2) Powerful search tools for users of all experience levels, from basic keyword searches to advanced syntax, with features like auto-complete and spelling correction.
3) Flexible pricing options so customers only pay for the content they access.
Introducing LucidWorks App for Splunk Enterprise webinar
LucidWorks App for Splunk Enterprise is the first of its kind, specifically designed to allow companies to analyze and manage the health and availability of their Solr deployments in Splunk software. The solution integrates multi-structured data indexed by Solr directly into Splunk® Enterprise, giving system administrators the ability to look at the intersection of documents, customer records or other unstructured data sources as they relate to machine data. This enables companies to optimize their Solr applications, glean insights from search and usage patterns and spot security concerns to improve end user experiences and derive more business value from data-driven applications.
This webinar will explore the features of the App, and provide attendees with valuable information on the following key components:
Solr Monitor: Monitor the health and availability and utilization of LucidWorks and/or Solr deployments with pre-defined data inputs, dashboards and reports
Search Analytics: Perform user behavior and click-stream analysis with pre-built search analytics reports and fields
NoSQL Lookups: Using Splunk’s lookup facility enrich your Splunk reports with data of any structure using Solr’s fully indexed and searchable NoSQL-datastore
Search Time Joins: Join Splunk data with human generated and other unstructured data sources stored in Solr at search time for developing data-driven applications
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
Presentation at the OntoCommons Workshop on Ontology Engineering Tools @ Fri Mar 19, 2021
Splunk in Nordstrom: IT Operations
The document discusses Nordstrom's use of Splunk for log aggregation and analytics across their IT systems. Some key points:
- Nordstrom uses Splunk to consolidate machine data from various systems like point-of-sale devices, web servers, and monitoring tools for unified visibility.
- Splunk has been adopted organically by over 300 users across Nordstrom who use it for tasks like performance monitoring, troubleshooting, and building custom reports.
- Nordstrom applies DevOps principles and tools to manage their large and distributed Splunk deployment, with components like search heads, indexers, and deployment servers. Configuration is managed through version control.
LDP4j: A framework for the development of interoperable read-write Linked Da...
LDP4j: A framework for the development of interoperable read-write Linked Da...Nandana Mihindukulasooriya
This presentation introduces LDP4j, an open source Java-based framework for the development of read-write Linked Data applications based on the W3C Linked Data Platform 1.0 (LDP) specification and available under the Apache 2.0 license. This was presented in the ISWC 2014 Developer Woskshop.
http://www.ldp4j.org/Webinar: Site Search in an Hour with Fusion
Using Lucidworks View and Fusion 3, you can easily build and deploy site search in less than one hour. Even with multiple data sources, data transformations, and user interface development, a full enterprise search project can be completed in just an hour compared to the usual 6 months.
Oracle analytics cloud overview feb 2017
The document is a presentation slide deck on Oracle Analytics Cloud. It provides an overview and demo of the product. The presentation agenda includes an overview of platform as a service (PaaS), an introduction to Oracle Analytics Cloud, its features and capabilities, and a demo. Key capabilities discussed include connecting to various data sources, preparing and analyzing data, visualizing insights, predictive modeling, collaborative sharing and embedding analytics applications. The presentation emphasizes that Oracle Analytics Cloud provides a unified platform for managed data discovery.
Similar to Snow Owl Platform. Unlocking the meaning from healthcare data. (20)
Accessing SNOMED CT With FHIR Terminology Services
Accessing SNOMED CT With FHIR Terminology Services
Enabling IoT Devices’ Hardware and Software Interoperability, IPSO Alliance (...
Enabling IoT Devices’ Hardware and Software Interoperability, IPSO Alliance (...
PoolParty Semantic Suite: Management Briefing and Functional Overview
PoolParty Semantic Suite: Management Briefing and Functional Overview
Actionable Data: Mastering the Hybrid Analytics Mix
Actionable Data: Mastering the Hybrid Analytics Mix
Im symposium presentation - OCR and Text analytics for Medical Chart Review ...
Im symposium presentation - OCR and Text analytics for Medical Chart Review ...
Business Intelligence and Big Data Analytics with Pentaho
Business Intelligence and Big Data Analytics with Pentaho
Introducing LucidWorks App for Splunk Enterprise webinar
Introducing LucidWorks App for Splunk Enterprise webinar
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
Visual Ontology Modeling for Domain Experts and Business Users with metaphactory
LDP4j: A framework for the development of interoperable read-write Linked Da...
LDP4j: A framework for the development of interoperable read-write Linked Da...
Recently uploaded
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Presentation from Ghazal Aakel and Eric Jochum at the GSD Community Stage Meetup on June 6th, 2024
一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理
UMN硕士毕业证成绩单【微信95270640】购买（明尼苏达大学毕业证成绩单硕士学历）Q微信95270640代办UMN学历认证留信网伪造明尼苏达大学学位证书精仿明尼苏达大学本科/硕士文凭证书补办明尼苏达大学 diplomaoffer,Transcript购买明尼苏达大学毕业证成绩单购买UMN假毕业证学位证书购买伪造明尼苏达大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
#毕业证成绩单 #毕业証 #成绩单 #學生卡 #OFFER录取通知书 #雅思#托福等……
国外大学明尼苏达大学明尼苏达大学毕业证offer制作方法（一对一专业服务）
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — 制作工艺 【高仿真】— —
凭借多年的制作经验本公司制作明尼苏达大学明尼苏达大学毕业证offer《激光》《水印》《钢印》《烫金》《紫外线》凹凸版uv版等防伪技术一流高精仿度几乎跟学校100%相同！让您绝对满意。
— — -公司理念 【诚信为主】— — —
我們以質量求生存.以服务求发展有雄厚的实力专业的团队咨询顾问为您细心解答可详谈是真是假眼见为实让您真正放心平凡人生,尽我所能助您一臂之力让我們携手圆您梦想!
此贴长年有效【贴心专线/微-信: 95270640】敬请保留此联系方式以备用！如有不在线请给我们留言！我们将在第一时间给您回复!上散发着一抹抹的光晕而这每处自然形成的细节融合在一起浑然天成的美实在令人心生愉悦小道的周边无秩序的生长着几株艳丽的野花红的粉的紫的虽混乱无章却给这幅美景更增添一份性感夹杂着一份纯洁的妖娆毫无违和感实在给人带来一份悠然幸福的心情如果说现在的审美已经断然拒绝了无声的话那么在树林间飞掠而过的小鸟叽叽咋咋的叫声是否就是这最后的点睛之笔悠然走在林间的小路上宁静与清香一丝丝的盛夏气息吸入身体昔日生活里的繁忙多
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Measures in SQL (SIGMOD 2024, Santiago, Chile)
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
Mobile App Development Company In Noida | Drona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Oracle 23c New Features For DBAs and Developers.pptx
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
Artificia Intellicence and XPath Extension Functions
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Preparing Non - Technical Founders for Engaging a Tech Agency
Preparing non-technical founders before engaging a tech agency is crucial for the success of their projects. It starts with clearly defining their vision and goals, conducting thorough market research, and gaining a basic understanding of relevant technologies. Setting realistic expectations and preparing a detailed project brief are essential steps. Founders should select a tech agency with a proven track record and establish clear communication channels. Additionally, addressing legal and contractual considerations and planning for post-launch support are vital to ensure a smooth and successful collaboration. This preparation empowers non-technical founders to effectively communicate their needs and work seamlessly with their chosen tech agency.Visit our site to get more details about this. Contact us today www.ishtechnologies.com.au
WWDC 2024 Keynote Review: For CocoaCoders Austin
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
如何办理(hull学位证书)英国赫尔大学毕业证硕士文凭原版一模一样
原版定制【微信:bwp0011】《(hull学位证书)英国赫尔大学毕业证硕士文凭》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Project Management: The Role of Project Dashboards.pdf
Project management is a crucial aspect of any organization, ensuring that projects are completed efficiently and effectively. One of the key tools used in project management is the project dashboard, which provides a comprehensive view of project progress and performance. In this article, we will explore the role of project dashboards in project management, highlighting their key features and benefits.
zOS Mainframe JES2-JES3 JCL-JECL Differences
Document which explains the difference between Jes2 and Jes3
Energy consumption of Database Management - Florina Jonuzi
Presentation from Florina Jonuzi at the GSD Community Stage Meetup on June 06, 2024
Enums On Steroids - let's look at sealed classes !
These are slides for my session"Enums On Steroids - let's look at sealed classes !" - delivered among others, on Devoxx UK 2024 conference
GreenCode-A-VSCode-Plugin--Dario-Jurisic
Presentation about a VSCode plugin from Dario Jurisic at the GSD Community Stage meetup
Liberarsi dai framework con i Web Component.pptx
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.
Recently uploaded (20)
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
ALGIT - Assembly Line for Green IT - Numbers, Data, Facts
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
Mobile App Development Company In Noida | Drona Infotech
Mobile App Development Company In Noida | Drona Infotech
YAML crash COURSE how to write yaml file for adding configuring details
YAML crash COURSE how to write yaml file for adding configuring details
Oracle 23c New Features For DBAs and Developers.pptx
Oracle 23c New Features For DBAs and Developers.pptx
Artificia Intellicence and XPath Extension Functions
Artificia Intellicence and XPath Extension Functions
Preparing Non - Technical Founders for Engaging a Tech Agency
Preparing Non - Technical Founders for Engaging a Tech Agency
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Project Management: The Role of Project Dashboards.pdf
Project Management: The Role of Project Dashboards.pdf
Energy consumption of Database Management - Florina Jonuzi
Energy consumption of Database Management - Florina Jonuzi
Enums On Steroids - let's look at sealed classes !
Enums On Steroids - let's look at sealed classes !
Snow Owl Platform. Unlocking the meaning from healthcare data.
- 1. Snow Owl Pla*orm Unlocking the meaning from healthcare data Brandon Ulrich, Orsolya Bali 31st October 2014 1
- 2. Agenda • About us • What is Snow Owl? • Key features • Demo: terminology authoring, semanHc query and reference set creaHon • Q&A 2
- 3. B2i Healthcare B2i Healthcare delivers innovaHve soNware soluHons that simplify complex problems in healthcare informaHon exchange. Our work is based on internal R&D as well as cooperaHon with experts from naHonal healthcare IT programs, academia, standard bodies, and foundaHons. 3
- 4. Snow Owl Pla*orm Snow Owl is a state-‐of-‐the-‐art authoring pla2orm for clinical terminologies. Backing the tooling the Snow Owl Pla*orm supports the following runHme components: • A terminology server that can be installed separately or be packaged with the workbench for terminology authoring purposes • A scalable EHR server that is opHmized to be queried in real-‐Hme for semanHc meaning captured in the health records and the linked terminology informaHon. • An analy9cs engine designed to process the EHRs returned via a meaningful query Interested in the EHR queries? Find us at the poster sec6on to learn more! 4
- 5. Snow Owl – the terminology authoring tool Snow Owl is built upon the Eclipse pla2orm, therefore: • Easily integrates Eclipse-‐based applicaHon architectures within a single tool. An example of this integra6on is Stanford's Protégé Ontology Editor, which allows us to use any Protégé-‐compa6ble descrip6on logic classifier. • Integrates with informaHon model tooling, such as the HL7 StaHc Model Designer and our Logical InformaHon Model tooling to support domain model design, ontology authoring, and the binding between the two. 5
- 6. Key features: • Operates in stand-‐alone mode supporHng a single user or in collabora9ve mode with mulHple users connected to a single server working in a distributed fashion. • Designed to support mul9ple ontologies and classificaHons • Implements the TermInfo Extended SNOMED CT ComposiHonal Grammar (ESCG) for semanHc querying • Allows the creaHon of intensional and extensional value sets among other reference set types that follow the SNOMED CT RF2 specificaHons. 6 Snow Owl – the terminology authoring tool
- 7. Snow Owl Terminology Authoring Features • Browsing • Searching • Query authoring • Query evaluaHon • Value Set creaHon – Query based – Manually specified • Mapping • ReporHng • ValidaHon • DL classificaHon • Task management • CollaboraHve ediHng • SNOMED CT support • ATC support • Extensibility 7
- 8. Snow Owl Terminology Authoring Demo • Browsing • Searching • Query authoring • Query evaluaHon • Value Set creaHon – Query based – Manually specified • Mapping • ReporHng • ValidaHon • DL classificaHon • Task management • CollaboraHve ediHng • SNOMED CT support • ATC support • Extensibility 8
- 9. 9 • Terminology authoring using numerical datatypes • SemanHc query with the TermInfo DSTU Extended SNOMED CT ComposiHonal Grammar • CreaHng a query type reference set Demo
- 10. QuesHons? 10
- 11. Thank you! 11