This document provides an overview of how LOINC (Logical Observation Identifiers Names and Codes) codes can be used with FHIR (Fast Healthcare Interoperability Resources). It discusses how LOINC codes are represented and used in various FHIR resources like Observation, Questionnaire, DiagnosticReport, etc. It also describes how FHIR terminology services can be used to retrieve information about LOINC codes and structures like parts, answer lists, and properties to build value sets. The document demonstrates how LOINC enhances interoperability when clinical data is coded with LOINC and accessible via FHIR.
Public Laboratory LOINC Workshop and Committee Meeting documents the origins and growth of LOINC as a universal standard for clinical observations and laboratory results. It discusses how LOINC provides a common language for information exchange and how its open model has led to widespread international adoption and translations. Large healthcare organizations around the world have implemented LOINC to facilitate interoperability across hundreds of systems.
The document provides an introduction to FHIR (Fast Healthcare Interoperability Resources). It outlines some of the limitations of previous HL7 standards like V3 being too complex and documents (CDA) not being sufficient. It notes the need for a transition path from V2 and something to address new markets. FHIR is presented as a new approach that is focused on implementers and uses resources as the basic building block. Each resource has its own model and unique ID. The goal is to make implementation easier compared to previous standards.
This document provides an introduction and progress report on FHIR (Fast Healthcare Interoperability Resources). Key points:
- FHIR is a new, implementer-friendly standard for healthcare interoperability that has generated significant interest internationally.
- The core infrastructure is in draft form and several clinical domains are actively working on defining FHIR resources.
- FHIR can be used for RESTful exchanges, documents, messages, services, and integrating with XDS standards.
- The goal is to have more resources balloted in 2013 and release a draft standard for trial use in 2014.
FHIR for Developers tutorial as given during the HL7 WGM meetings. Good introductory text for developers getting started with FHIR, HL7's new messaging standard for healthcare.
The presentation talks about the components of FHIR, its distribution and use. Scenarios for the introduction of FHIR in the country using HL7 V3 are also offered.
This document summarizes a presentation on FHIR terminology given by Lloyd McKenzie at the FHIR Developer Days on November 25, 2014. The presentation covered how coded data is shared in FHIR using bindings and value sets, the process for creating and using value sets, and the future of FHIR terminology. The objectives of the tutorial were to explain how coded data is shared in FHIR, understand bindings and profiling vocabulary, learn the process for creating and using value sets, and discuss the future of FHIR terminology.
A seminar made to the Tennessee Department of Health in July 2015. An introduction to HL7 standards with a focus on HL7 v3 messaging and clinical document architecture standards.
Public Laboratory LOINC Workshop and Committee Meeting documents the origins and growth of LOINC as a universal standard for clinical observations and laboratory results. It discusses how LOINC provides a common language for information exchange and how its open model has led to widespread international adoption and translations. Large healthcare organizations around the world have implemented LOINC to facilitate interoperability across hundreds of systems.
The document provides an introduction to FHIR (Fast Healthcare Interoperability Resources). It outlines some of the limitations of previous HL7 standards like V3 being too complex and documents (CDA) not being sufficient. It notes the need for a transition path from V2 and something to address new markets. FHIR is presented as a new approach that is focused on implementers and uses resources as the basic building block. Each resource has its own model and unique ID. The goal is to make implementation easier compared to previous standards.
This document provides an introduction and progress report on FHIR (Fast Healthcare Interoperability Resources). Key points:
- FHIR is a new, implementer-friendly standard for healthcare interoperability that has generated significant interest internationally.
- The core infrastructure is in draft form and several clinical domains are actively working on defining FHIR resources.
- FHIR can be used for RESTful exchanges, documents, messages, services, and integrating with XDS standards.
- The goal is to have more resources balloted in 2013 and release a draft standard for trial use in 2014.
FHIR for Developers tutorial as given during the HL7 WGM meetings. Good introductory text for developers getting started with FHIR, HL7's new messaging standard for healthcare.
The presentation talks about the components of FHIR, its distribution and use. Scenarios for the introduction of FHIR in the country using HL7 V3 are also offered.
This document summarizes a presentation on FHIR terminology given by Lloyd McKenzie at the FHIR Developer Days on November 25, 2014. The presentation covered how coded data is shared in FHIR using bindings and value sets, the process for creating and using value sets, and the future of FHIR terminology. The objectives of the tutorial were to explain how coded data is shared in FHIR, understand bindings and profiling vocabulary, learn the process for creating and using value sets, and discuss the future of FHIR terminology.
A seminar made to the Tennessee Department of Health in July 2015. An introduction to HL7 standards with a focus on HL7 v3 messaging and clinical document architecture standards.
Understanding Resources in FHIR - Session 3 of FHIR basics training seriesKumar Satyam
1) The document discusses a presentation on understanding FHIR resources. It provides an agenda that covers recapping previous sessions, introducing FHIR resources, exercises, and pre-work for the next session.
2) FHIR resources are the basic building blocks of FHIR and include resources like Patient, Practitioner, Organization, Location, etc. Resources are defined in the FHIR specification.
3) The presentation demonstrates examining a resource like Patient from the FHIR specification and reading the defined fields, data types, and references between resources.
HL7 is an international standards organization that develops standards for exchanging electronic health information. It aims to allow disparate healthcare applications to exchange clinical and administrative data through interoperability standards. HL7's standards include messaging specifications that define how information is packaged and communicated between parties, as well as document and application standards. HL7 develops standards for different workflows and uses various encoding methods like XML.
Presentation given at HL7 Norway on april 1st, 2014. Subjects are: why a new standard? what are the basic building blocks of FHIR? What are profiles? How do we make documents out of resources? Also contains some example architectures.
The document discusses FHIR documents and their structure. It notes that FHIR documents are bundles that contain a Composition resource along with other resources like sections, lists, observations, etc. bound together. Documents can be used when persistence of data across multiple resources is needed or when authentication of the full content is required. The document describes how FHIR documents can be communicated by posting the bundle to various FHIR endpoints like the Mailbox, Document/Bundle, or as a transaction to create/update the individual resources. It also notes documents can be posted as a Binary resource or referenced through a DocumentReference resource.
FHIR architecture overview for non-programmers by René SpronkFurore_com
The document describes an overview presentation of FHIR (Fast Healthcare Interoperability Resources) given to non-programmers and executives. It defines what FHIR stands for and its design philosophy of focusing on implementers and leveraging web technologies. FHIR provides resources, extensions, profiles and conformance to enable interoperability. It can be used in a variety of healthcare settings and implementations are already underway. FHIR aims to significantly impact healthcare IT by being easier and cheaper to implement than other standards.
The document provides an overview of HL7 Version 3, including its reference information model (RIM) which defines core classes like Entity, Role, Act, and their relationships. It describes the RIM's object-oriented methodology and backbone classes. The training objectives are to define HL7 terms and concepts, describe its modeling methodology, and introduce HL7 Version 3 at NCICB.
Summary: This presentation provides a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
Target Audience: The primary intended audience for this presentation are individuals curious about but not yet engaged in HL7 activities or the use of HL7 standards. Those already familiar with or engaged in the use or development of HL7 standards may also find the distillation of the various aspects of HL7 useful to their work.
Pavel Smirnov. FHIR-first application development.HealthDev
Pavel Smirnov, CEO of Health Samurai, organized the inaugural FHIR meetup at UC San Diego to discuss developing FHIR-first applications. Health Samurai's Aidbox is a FHIR development platform that allows building applications using the FHIR standard and data model. Aidbox provides tools like a FHIR API and storage, as well as the ability to extend the FHIR model to support custom use cases. Lessons from using FHIR include benefits like standardized data models and an active community, as well as challenges in migrating between versions and complexity of extensions.
This document provides an overview of FHIR (Fast Healthcare Interoperability Resources) and how it can be used to exchange healthcare data. It discusses key FHIR concepts like resources, references between resources, extensions, and how FHIR uses RESTful principles for interoperability. Resources are small units of exchange that can be composed of other resources or reference them. FHIR specifies a RESTful API where resources have URLs and can be retrieved, updated, deleted using HTTP verbs. This allows distributed, standards-based sharing of healthcare information.
The document provides an introduction and overview of HL7, including:
- HL7 is a protocol for exchanging healthcare data between systems that defines messages and procedures for exchanging them.
- It aims to enable interoperability between different healthcare IT systems.
- HL7 messages are composed of segments, fields, and components that provide specific types of patient, clinical, or administrative data.
- Common HL7 messages are used for admissions, discharges, patient registration, orders, results, and other clinical and administrative workflows.
This document provides an overview of the HL7 Clinical Document Architecture (CDA) standard for exchanging clinical documents. It describes what CDA is, the components of a CDA document, how CDA documents can be rendered and exchanged in messages, and examples of use cases for CDA. The key points are that CDA specifies an XML format for clinical documents to enable their structured exchange between systems, CDA documents have human-readable and machine-processable parts, and CDA relies on other HL7 standards for semantics.
This document provides an agenda and overview for an HL7 FHIR training course. The morning session will include introductions to FHIR, resources, and the RESTful model. Exercises are planned to apply the concepts. The agenda also includes an introduction to the FHIR data model and more exercises before breaking for lunch. The trainer is identified as Ewout Kramer from Furore in Amsterdam, and he has experience with FHIR and healthcare software development.
Tutorial on Principles of Health Interoperability, presented at Informatics for Health Conference, Manchester 23 April 2017. Covers SNOMED CT, HL7 and FHIR and why interoperability is hard.
openEHR is an open specification for a health information model that supports an open platform ecosystem in a vendor-neutral and technology-neutral manner. It uses a two-level modeling approach with a stable reference model and separate clinical models defined through archetypes. Archetypes are shareable and computable models of discrete clinical concepts that can be aggregated into templates. openEHR supports vendor-neutral querying of health information through its AQL and various technical approaches have been used to implement openEHR-compliant clinical data repositories.
This document provides an agenda and overview for an HL7 FHIR for Developers workshop in Auckland, New Zealand in June 2016. The workshop will cover FHIR resources, profiling, exchange, and moving forward with FHIR. Optional afternoon sessions will focus on exporting legacy content, FHIR referrals, provider directories, integrating with SMART on FHIR, and clinical FHIR. Attendees will learn about FHIR terminology standards like SNOMED CT and how to represent clinical information using FHIR resources and profiles.
In this tutorial participants will learn the history of the RIM, the method by which the RIM is maintained, and key characteristics of the RIM that make it the premier information model in healthcare.
Topics Covered:
1. Introduction to HL7: who, what, and why
2. Introduction to HL7 v3: what and why
3. History of the HL7 Reference Information Model
4. HL7 RIM Subjects, Core Classes, and Structural Attributes
5. State Machines of RIM Core Classes
6. HL7 v3 Datatypes
7. HL7 v3 Vocabulary
This tutorial will assist in preparation for the HL7 v3 Certification exam.
Hl7 Standards, Reference Information Model & Clinical Document ArchitectureNawanan Theera-Ampornpunt
This document discusses HL7 standards and includes information about:
- HL7 version 2 (HL7 v2), which is the most commonly used HL7 standard for defining electronic messages supporting hospital operations.
- HL7 version 3, which adds semantic capability to messaging.
- The Clinical Document Architecture (CDA), which defines the structure and semantics of clinical documents.
A proposal for interoperable health information exchange with two Esperantos: ICF and LOINC. Presented at the 2010 NAAC ICF Conference: Enhancing our Understanding of the ICF.
This document provides an overview of LOINC (Logical Observation Identifiers Names and Codes) presented by Daniel Vreeman. In 3 sentences: LOINC is a universal standard for identifying health measurements and observations that allows for data exchange between systems. It has over 60,000 codes covering laboratory and clinical observations. The LOINC community is open-source and has over 14,000 members from 145 countries contributing to its ongoing development and adoption worldwide.
Understanding Resources in FHIR - Session 3 of FHIR basics training seriesKumar Satyam
1) The document discusses a presentation on understanding FHIR resources. It provides an agenda that covers recapping previous sessions, introducing FHIR resources, exercises, and pre-work for the next session.
2) FHIR resources are the basic building blocks of FHIR and include resources like Patient, Practitioner, Organization, Location, etc. Resources are defined in the FHIR specification.
3) The presentation demonstrates examining a resource like Patient from the FHIR specification and reading the defined fields, data types, and references between resources.
HL7 is an international standards organization that develops standards for exchanging electronic health information. It aims to allow disparate healthcare applications to exchange clinical and administrative data through interoperability standards. HL7's standards include messaging specifications that define how information is packaged and communicated between parties, as well as document and application standards. HL7 develops standards for different workflows and uses various encoding methods like XML.
Presentation given at HL7 Norway on april 1st, 2014. Subjects are: why a new standard? what are the basic building blocks of FHIR? What are profiles? How do we make documents out of resources? Also contains some example architectures.
The document discusses FHIR documents and their structure. It notes that FHIR documents are bundles that contain a Composition resource along with other resources like sections, lists, observations, etc. bound together. Documents can be used when persistence of data across multiple resources is needed or when authentication of the full content is required. The document describes how FHIR documents can be communicated by posting the bundle to various FHIR endpoints like the Mailbox, Document/Bundle, or as a transaction to create/update the individual resources. It also notes documents can be posted as a Binary resource or referenced through a DocumentReference resource.
FHIR architecture overview for non-programmers by René SpronkFurore_com
The document describes an overview presentation of FHIR (Fast Healthcare Interoperability Resources) given to non-programmers and executives. It defines what FHIR stands for and its design philosophy of focusing on implementers and leveraging web technologies. FHIR provides resources, extensions, profiles and conformance to enable interoperability. It can be used in a variety of healthcare settings and implementations are already underway. FHIR aims to significantly impact healthcare IT by being easier and cheaper to implement than other standards.
The document provides an overview of HL7 Version 3, including its reference information model (RIM) which defines core classes like Entity, Role, Act, and their relationships. It describes the RIM's object-oriented methodology and backbone classes. The training objectives are to define HL7 terms and concepts, describe its modeling methodology, and introduce HL7 Version 3 at NCICB.
Summary: This presentation provides a concise overview of the history, operational framework, and standards of Health Level Seven (HL7). It is intended to be a guide to those seeking to engage in the HL7 standards development effort or to be consumers of HL7 products and services.
Target Audience: The primary intended audience for this presentation are individuals curious about but not yet engaged in HL7 activities or the use of HL7 standards. Those already familiar with or engaged in the use or development of HL7 standards may also find the distillation of the various aspects of HL7 useful to their work.
Pavel Smirnov. FHIR-first application development.HealthDev
Pavel Smirnov, CEO of Health Samurai, organized the inaugural FHIR meetup at UC San Diego to discuss developing FHIR-first applications. Health Samurai's Aidbox is a FHIR development platform that allows building applications using the FHIR standard and data model. Aidbox provides tools like a FHIR API and storage, as well as the ability to extend the FHIR model to support custom use cases. Lessons from using FHIR include benefits like standardized data models and an active community, as well as challenges in migrating between versions and complexity of extensions.
This document provides an overview of FHIR (Fast Healthcare Interoperability Resources) and how it can be used to exchange healthcare data. It discusses key FHIR concepts like resources, references between resources, extensions, and how FHIR uses RESTful principles for interoperability. Resources are small units of exchange that can be composed of other resources or reference them. FHIR specifies a RESTful API where resources have URLs and can be retrieved, updated, deleted using HTTP verbs. This allows distributed, standards-based sharing of healthcare information.
The document provides an introduction and overview of HL7, including:
- HL7 is a protocol for exchanging healthcare data between systems that defines messages and procedures for exchanging them.
- It aims to enable interoperability between different healthcare IT systems.
- HL7 messages are composed of segments, fields, and components that provide specific types of patient, clinical, or administrative data.
- Common HL7 messages are used for admissions, discharges, patient registration, orders, results, and other clinical and administrative workflows.
This document provides an overview of the HL7 Clinical Document Architecture (CDA) standard for exchanging clinical documents. It describes what CDA is, the components of a CDA document, how CDA documents can be rendered and exchanged in messages, and examples of use cases for CDA. The key points are that CDA specifies an XML format for clinical documents to enable their structured exchange between systems, CDA documents have human-readable and machine-processable parts, and CDA relies on other HL7 standards for semantics.
This document provides an agenda and overview for an HL7 FHIR training course. The morning session will include introductions to FHIR, resources, and the RESTful model. Exercises are planned to apply the concepts. The agenda also includes an introduction to the FHIR data model and more exercises before breaking for lunch. The trainer is identified as Ewout Kramer from Furore in Amsterdam, and he has experience with FHIR and healthcare software development.
Tutorial on Principles of Health Interoperability, presented at Informatics for Health Conference, Manchester 23 April 2017. Covers SNOMED CT, HL7 and FHIR and why interoperability is hard.
openEHR is an open specification for a health information model that supports an open platform ecosystem in a vendor-neutral and technology-neutral manner. It uses a two-level modeling approach with a stable reference model and separate clinical models defined through archetypes. Archetypes are shareable and computable models of discrete clinical concepts that can be aggregated into templates. openEHR supports vendor-neutral querying of health information through its AQL and various technical approaches have been used to implement openEHR-compliant clinical data repositories.
This document provides an agenda and overview for an HL7 FHIR for Developers workshop in Auckland, New Zealand in June 2016. The workshop will cover FHIR resources, profiling, exchange, and moving forward with FHIR. Optional afternoon sessions will focus on exporting legacy content, FHIR referrals, provider directories, integrating with SMART on FHIR, and clinical FHIR. Attendees will learn about FHIR terminology standards like SNOMED CT and how to represent clinical information using FHIR resources and profiles.
In this tutorial participants will learn the history of the RIM, the method by which the RIM is maintained, and key characteristics of the RIM that make it the premier information model in healthcare.
Topics Covered:
1. Introduction to HL7: who, what, and why
2. Introduction to HL7 v3: what and why
3. History of the HL7 Reference Information Model
4. HL7 RIM Subjects, Core Classes, and Structural Attributes
5. State Machines of RIM Core Classes
6. HL7 v3 Datatypes
7. HL7 v3 Vocabulary
This tutorial will assist in preparation for the HL7 v3 Certification exam.
Hl7 Standards, Reference Information Model & Clinical Document ArchitectureNawanan Theera-Ampornpunt
This document discusses HL7 standards and includes information about:
- HL7 version 2 (HL7 v2), which is the most commonly used HL7 standard for defining electronic messages supporting hospital operations.
- HL7 version 3, which adds semantic capability to messaging.
- The Clinical Document Architecture (CDA), which defines the structure and semantics of clinical documents.
A proposal for interoperable health information exchange with two Esperantos: ICF and LOINC. Presented at the 2010 NAAC ICF Conference: Enhancing our Understanding of the ICF.
This document provides an overview of LOINC (Logical Observation Identifiers Names and Codes) presented by Daniel Vreeman. In 3 sentences: LOINC is a universal standard for identifying health measurements and observations that allows for data exchange between systems. It has over 60,000 codes covering laboratory and clinical observations. The LOINC community is open-source and has over 14,000 members from 145 countries contributing to its ongoing development and adoption worldwide.
2012 02 10 - Vreeman - Possibilities and Implications of ICF-powered Health I...dvreeman
The document discusses the possibilities and implications of using the International Classification of Functioning (ICF) to power health information technology. It describes how incorporating standardized vocabularies like ICF and LOINC into electronic health records could allow for data reuse across settings, clinical decision support, and a more seamless exchange of health information. This would help realize the vision of a healthcare system with coordinated, consumer-centered care enabled by digital tools.
Health Information Standards - Kevin O'Carrollhealthcareisi
The document discusses several projects of the Health Information Directorate at the Health Information and Quality Authority (HIQA) in Ireland, including:
1. The General Practice Messaging Specification (GPMS), which defines a standard for electronic messaging between general practitioners and other healthcare providers.
2. The National Dataset for General Practice Referrals, which defines a standard format for electronic referrals from GPs to hospitals and other care providers.
3. Standards for coding laboratory tests and results, including adopting the Logical Observation Identifiers Names and Codes (LOINC) system for test coding.
This document provides an outline for a presentation on electronic medical records (EMRs). It begins with defining the components of an EMR, including labs, admissions/discharge/transfer data, orders, radiology, notes, and billing. It then discusses the history and adoption of EMRs from the 1960s to present. The document reviews studies showing the effectiveness of EMRs in improving quality of care and achieving treatment standards. It also outlines how EMR data is structured in databases and data warehouses and describes common health data standards like ICD, CPT, LOINC, SNOMED, and HL7. The presentation covers meaningful use incentives and provides examples of using EMR data for research studies.
MEDLEE: natural language processing on the public health gridyoukayaslam
This document discusses providing the MedLEE natural language processing (NLP) service on the Public Health Research Grid. MedLEE extracts and encodes clinical information from narrative reports. The goals are to understand grid technology and provide an NLP service. MedLEE has been used at Columbia University Medical Center since 1995 for applications like biosurveillance, clinical research, and quality assurance. Challenges include setting up a grid node and addressing security/PHI concerns. Functionality and customization are being improved to better generalize the grid-enabled MedLEE service.
The document discusses a presentation on LOINC (Logical Observation Identifiers Names and Codes) given at the 2011 Public Health Informatics conference in Atlanta, GA. The presentation provides an introduction to LOINC and covers topics such as the origins of LOINC, common elements in LOINC terms, LOINC collections like forms and surveys, and domain-specific approaches to mapping standards and terminologies in areas like microbiology. It also discusses LOINC tools and resources for mapping terms and codes.
2009 12 07 - LOINC Introduction and Overviewdvreeman
This document provides an overview and introduction to LOINC (Logical Observation Identifiers Names and Codes). It discusses the origins and growth of LOINC as a universal standard for identifying laboratory and clinical observations. Key points include: LOINC was created in 1994 by Regenstrief Institute to facilitate information exchange; it has over 80,000 codes covering many clinical domains and is used internationally; and adoption has increased steadily with over 800 downloads per month and participation from many organizations globally and within the US.
Presented at Cambridge Semantic Web Monthly Meetup on September 8, 2015
http://www.meetup.com/The-Cambridge-Semantic-Web-Meetup-Group/events/223161012/
SNOMED CT and other healthcare terminology standards: competition or cooperat...THL
SNOMED CT and other healthcare terminology standards: competition or cooperation? SNOMED CT in relation to LOINC, ICD, ICPC and other terminologies.
Robert Hausam, Hausam Consulting LLC
SNOMED CT 2019 -seminaari (29.3.2019
The document discusses an introduction and tutorial about LOINC® and RELMA® given to the CDC Vocabulary Team Meeting. It provides an overview of the origins and growth of LOINC, which was created in 1994 to serve as a universal standard for identifying clinical observations. It aims to facilitate information exchange. The presentation describes LOINC's role in coding questions like lab test names rather than answers like numeric results. It also reviews the international adoption of LOINC across organizations in many countries.
2016 Standardization of Laboratory Test Coding - PHI ConferenceMegan Sawchuk
1) Several projects were presented that aim to standardize laboratory test coding through collaboration to improve semantic interoperability.
2) The LOINC Common Name Project developed rules to establish common names for laboratory tests to enhance understanding and usability.
3) The LOINC Order Code Value Set Project identified codes for commonly performed tests to facilitate computerized test ordering between EHRs and labs.
4) CDC has taken steps to standardize coding of its laboratory developed tests so results can be reported across sites and to support public health surveillance.
This document discusses data mining techniques for wearable health sensors. It covers three main types of data mining tasks for health data: anomaly detection, prediction, and diagnosis. It also discusses challenges in remote health monitoring including the need for large, annotated datasets and addressing reliability and contextual factors. Data preprocessing techniques like filtering and dimension reduction are also outlined.
The Logical Model Designer - Binding Information Models to TerminologySnow Owl
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.
This document discusses the use of Logical Observation Identifiers, Names, and Codes (LOINC) for clinical research through meaningful use. LOINC provides universal identifiers for laboratory tests and clinical observations to facilitate electronic data exchange. Meaningful use stage 2 requires the use of LOINC to structure clinical lab data. Using LOINC allows researchers to conduct studies using large pools of retrospective electronic health record data in a standardized way while maintaining patient privacy.
Our work as consultants primarily involve implementing CRM systems to consolidate clinical and administrative data from EHRs and health plans for patient care coordination, medical tourism, transitional care, aftercare and case management. In the case of a hospital setting, they are using Mckesson Paragon EHR using ICD 10, CPT and LOINC to capture data associated to problem lists, medical history, procedures, medical orders, and test results. In the case of medications, they are using RxNorm. The system can handle SNOMED but they are only using ICD. In the case of the health plan, the data we gather is based on ICD, CPT, and NDC only. In another project, we are working to establish a centralized system to capture all test results of Puerto Rico for abnormalities identification, patient and provider notification. In addition, this data will be used to analyze health population the data we are receiving include terminology type, LOINC or CPT. Depending on the laboratory information system vendor we get the CPT or LOINC code.
The document discusses an open-source electronic health record (EHR) system called Oscar and describes its architecture and features. It provides examples of how Oscar has been used in radiotherapy settings and primary care clinics. The document also discusses a personal health record (PHR) module called MyOSCAR that is integrated with Oscar. MyOSCAR allows patients to access and share their health records. Two pilot studies are summarized that examine the use of MyOSCAR for blood pressure management and collecting drug safety data from patients. The studies found high completion rates of tasks in MyOSCAR and positive feedback from patients wishing to continue using the application.
How to Submit Non-Clinical Data to CBER Using SEND : Understanding New FDA Re...MMS Holdings
What You Will Learn
The FDA’s CBER will begin requiring electronic submissions of nonclinical data to be submitted using the 3.1 and 3.1.1 versions of CDISC SENDIG on March 15th, 2023. With these requirements taking effect soon, Sponsors need to understand how to meet the new rules and regulations provided by SEND, as failing to meet them could result in FDA refusal.
In this webinar, a cross-functional team of statistical programmers and regulatory experts will share actionable insights to help study teams prepare for the new requirements.
Attendees will learn how to:
Understand nonclinical study data submissions to CDER and CBER
Differentiate biologics from drug submission in non-clinical studies
Prepare for this change to ensure a successful submission.
Solve the challenges of a SEND package
Ensure compliance with both SEND 3.1 and 3.1.1 for submission of nonclinical data to CDER and CBERHo
Separate SEND IG DART 1.1 from SEND IG
Manage legacy studies and studies that already meet requirements
Differentiate between submission packages
Use the FDA’s data standard catalog, technical conformance guide and controlled terminology
Who Will Benefit from Attending?
Regulatory Affairs and Submissions Professionals
Pharmaceutical Data and Programming Professionals
Nonclinical/Preclinical Development Professionals
1. The National Library of Medicine (NLM) was established to assist the advancement of medical and related sciences and to aid the dissemination and exchange of scientific and other information important to the progress of medicine and public health.
2. NLM will focus on understanding how searches are initiated, how information is used, and how questions are posed and answered through corroboration.
3. NLM's strategic plan for 2017-2027 aims to provide answers to questions from clinicians, patients, and consumers by linking research literature and clinical information through technologies like question answering systems and clinical decision support.
Presented at CDISC 2009 in Baltimore, it explores what the Semantic Web can bring to Healthcare. Can it be deployed right now? With ease? CDISC sets standards for the exchange of clinical trial data. Once deployed, they remove much of the redundancy and paper processing that characterizes a typical trial today. Its membership includes government regulators like the US FDA, all the major drug companies and their IT vendors.
FHIR is a standard for exchanging healthcare information electronically. This document discusses consent models in FHIR, including attributes of consent, how consent is represented, and how to query for consent information. It provides examples of consent resources and explains the differences between representing consent in earlier versions of FHIR versus current standards.
Integrating with the epic platform fhir dev days 17DevDays
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.
This document discusses the DICOM standard and how it relates to FHIR for medical imaging. It provides an overview of key DICOM concepts like the image hierarchy and metadata tags. It also demonstrates how to use common DICOM tools and requests like C-FIND queries. Finally, it shows how FHIR resources like ImagingStudy can be used to represent DICOM studies and link to images accessible via DICOMweb services like WADO-RS.
Mohannad hussain community track - siim dataset & dico mweb proxyDevDays
This document discusses the SIIM Hackathon Dataset, which provides sample patient data including FHIR resources and DICOM images. It was created by the Society for Imaging Informatics in Medicine to help developers build applications using FHIR and DICOMweb standards. The freely available dataset includes health records for 5 fictional patients that can be loaded onto servers. It aims to accelerate innovation by offering realistic test data versus randomly generated data. The document also introduces the DICOM-RS Broker, which allows accessing DICOM images via DICOMweb requests through a proxy for systems that do not natively support DICOMweb.
Fhir dev days 2017 fhir profiling - overview and introduction v07DevDays
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.
Grahame Grieve is scheduled to give a FHIR keynote at the FHIR Dev Days 2017 conference in Amsterdam from November 15-17. The summary compares the differences between REST and messaging approaches in FHIR, noting that REST focuses on CRUD operations on single resources with client-driven orchestration, while messaging is event-driven with server-driven orchestration and allows operations beyond CRUD.
This document discusses validation of FHIR resources in .NET and Java. It provides an overview of validation inputs and approaches in the two languages. In .NET, validation uses packages that handle instance data, specifications, terminology services, and validation. The Java HAPI library similarly provides a parser error handler for structural validation and a validator for semantic validation based on profiles and rules. The document demonstrates using validators in code and discusses considerations for validation approaches.
This document discusses various challenges and approaches to transforming content between different formats and standards. Some common problems addressed include implementing FHIR as a facade for an existing data store, converting specifications into FHIR profiles, and converting between FHIR and other output formats like text. Common transformation technologies include programming languages, XSLT, and mapping languages. The document also describes FHIR's built-in support for transformation through concept maps, profiles, and the FHIR mapping language.
This document provides an overview of StructureDefinition resources in FHIR. StructureDefinition resources describe the definition and validation rules for core FHIR resources, data types, logical models, and extensions. They contain metadata and constraints that are used to validate conformance to FHIR standards. The speaker discusses the key components of StructureDefinition resources, including differentials, snapshots, references between definitions, and slices.
Bryn Rhodes discusses using FHIR and clinical quality measures (CQMs) for clinical quality improvement. CQMs are measures that assess performance related to a specific process or outcome. An eMeasure is the computable, digital representation of a quality measure. eMeasures can be evaluated at the population or individual patient level. There are different types of measures that focus on processes, outcomes, structures, or patient-reported outcomes. Measures also have different scoring types and population criteria. CQMs are represented in FHIR using CQL logic and value sets to define measure populations and calculate scores. This allows CQMs to enable clinical decision support and quality improvement.
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.
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.
FHIR can be represented in RDF format. Resources are serialized as directed graphs using URIs, properties, and values. FHIR defines a metadata vocabulary for use in RDF, and a FHIR resource catalog provides the URIs for standard FHIR resources and properties. Shape expressions (ShEx) schemas validate FHIR RDF according to resource definitions. Together, these components allow FHIR data to be queried and manipulated using RDF techniques while maintaining compatibility with the JSON format. Tools exist for converting between FHIR JSON and RDF formats.
The document discusses OpenAPI (formerly known as Swagger), which is a vendor-neutral specification for describing RESTful APIs. It provides a standard, language-agnostic format used to define services and their operations. The specification aims to generate documentation, code examples, and API clients from a single API definition file. It has strong community and tooling support with over 100k visitors per month to Swagger.
Lloyd McKenzie presented on tooling for authoring FHIR implementation guides. He discussed the HL7 IG Publisher, which generates websites from ImplementationGuide resources and other artifacts. Trifolia was also covered, a web-based tool for developing and publishing FHIR profiles and implementation guides. Other tools mentioned for authoring pieces of implementation guides included Forge, ClinFHIR, and Simplifier. The goal was to provide an overview of existing options for creating FHIR implementation guide content and documentation.
Dev days 2017 questionnaires (brian postlethwaite)DevDays
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.
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.
Dev days 2017 advanced directories (brian postlethwaite)DevDays
FHIR provides several core resources for representing directories, including Organization, Location, Practitioner, HealthcareService, and PractitionerRole. In STU3, additional resources like Schedule, Referral, and CarePlan help support common directory use cases. For R4, a new HL7 Validated Healthcare Services Directory implementation guide is being developed to further standardize directories using FHIR, with potential new resources like OrganizationAssociation. Directories in FHIR allow flexible hierarchies and relationships between providers, locations, and services.
The document contains information about the FHIR Developers Days 2017 conference, including the keynote speakers, dates for future DevDays conferences, upcoming webinars on FHIR, and how to find lost luggage or a poster at the event. Details are provided about Mo Alkady's talk on vendor-neutral APIs and Grahame Grieve's keynote, as well as save-the-date information for future conferences and links to register for introductory and exam review webinars on FHIR. Attendees are asked to follow the conference on Twitter and direct any questions to organizers.
Building bridges devdays 2017- powerpoint templateDevDays
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.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Manage Your Lost Opportunities in Odoo 17 CRMCeline George
Odoo 17 CRM allows us to track why we lose sales opportunities with "Lost Reasons." This helps analyze our sales process and identify areas for improvement. Here's how to configure lost reasons in Odoo 17 CRM
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
2. FHIR and LOINC go together
like chips and salsa
photo via Marco Verch
3. Overview
1. Introduction to LOINC
2. LOINC in the FHIR jungle
3. LOINC specific features in the
FHIR terminology services
photo via Vernio77
4. Disclosure
I’m the author of the book LOINC Essentials published
by Blue Sky Premise, LLC where I serve as President.
Not a NYT Best Seller. Net profit going to a special
charitable project: danielvreeman.com/build-a-school
PI on a contract from bioMérieux for LOINC content
11. MO DATA MO PROBLEMS
It's like, the more money
we come across
The more problems we see
data
12. Problems
Health IT systems often lack
common mechanisms for
exchanging data.
Even when they do, they use
different ways of identifying the
same concept.
MO DATA MO PROBLEMS
Only way to overcome these problems is
with data standards
13. Est. 1994
The universal standard for
identifying health measurements,
observations, and documents.
14. LOINC is a rich trove of 84,000+ standardized variables
Lifestyle
Lab and clinical Environmental
21654-9 CFTR gene targeted mutation analysis
24475-6 F2 gene c.20210G>A [Presence]
75547-0 Noninvasive prenatal fetal aneuploidy
and microdeletion panel based on Plasma cell-
free+WBC DNA by Dosage of chromosome-specific
circulating cell free (ccf) DNA
82245-2 Chromosome region 22q11.2 deletion in
Amniotic fluid or CVS by FISH
4548-4 Hgb A1c MFr Bld
8462-4 Diastolic blood pressure
24725-4 Head CT
57021-8 CBC W Auto Differential panel - Blood
8633-0 QRS duration
41950-7 Number of steps in 24 hour Measured
75296-4 Carbohydrate intake 24 hour Estimated
82289-0 Rating of perceived exertion [Score]
72166-2 Tobacco smoking status NHIS
64098-7 Distance walked in 6 minutes
82464-9 Mosquito count [#] in Environmental specimen
67784-9 Individuals below poverty line Neighborhood
63736-3 Materials to which you were exposed in your
work or daily life
63805-6 How long did you handle paints or solvents
yourself?
67640-3 My teachers believe that I can do well in my
school work
Genetics
15. No single vocabulary
standard covers it all
Observables (and collections of them): LOINC
Diagnosis, Problems, Organisms, etc: SNOMED CT
Medications: RxNorm, ACT
Reimbursement: National codesets (e.g. CPT)
16. We do measurements
LOINC is focused on one piece of
the interoperability puzzle
photo via puuikibeach| cc-by
20. Anatomy of a LOINC Term
LOINC Code 18262-6
Component Cholesterol.in LDL
Property MCnc
Timing Pt
System Ser/Plas
Scale Qn
Method Direct assay
18262-6:Cholesterol.in LDL:MCnc:Pt:Ser/Plas:Qn:Direct assay
There are six major LOINC axes
21. Anatomy of a LOINC Term
LOINC Code 8302-2
Component Body height
Property Len
Timing Pt
System ^Patient
Scale Qn
Method
8302-2:Body height:Len:Pt:^Patient:Qn:
Method is the only optional axis
22. Codes for individual observations
Codes for collections(panels and documents)
6690-2 Leukocytes [#/volume] in Blood by Automated count
2339-0 Glucose [Mass/volume] in Blood
29463-7 Body weight
55423-8 Number of steps in unspecified time Pedometer
57021-8 CBC W Auto Differential panel - Blood
34565-2 Vital signs, weight and height panel
44249-1 PHQ-9 quick depression assessment panel
36813-4 CT Abdomen and Pelvis W contrast IV
18842-5 Discharge summary
23. Structured Answer Lists
Answer List Attributes
ID (contains “LL” prefix)
OID
External Link
Answer Item Attributes
ID (contains “LA” prefix)
String
Sequence
Local code
Universal code (SNOMED CT)
Score
25. The LOINC Distribution
LOINC Table
LOINC Table Core
LOINC Part File
LOINC Answer File
LOINC Panels and Forms File
LOINC Document Ontology File
LOINC Multiaxial Hierarchy File
LOINC/IEEE Medical Device Code Mapping File
LOINC/RSNA Radiology Playbook File
LOINC/SNOMED CT Expression Association and Map Sets
Each has a detailed ReadMe and Release Notes
33. Many kinds of LOINC Users
Referral / reference labs and radiology centers
Health-related federal agencies
Care organizations
Professional societies
Health information exchange networks
Insurance companies
Health IT vendors
Instrument manufacturers
Health app developers
37. Observation
LOINC is the most widely
used code system for
observations
Here’s“classic” numeric result
reporting example with
UCUM units
38. Return hemoglobin
Obs for my patient
http://spark.furore.com/fhir/Observation?
patient=http://spark.furore.com/fhir/Patient/
f001&code=718-7&_format=json
39. Return patients with
a hemoglobin Obs
http://spark.furore.com/fhir/Patient?
_has:Observation:patient:code=718-7&_format=json
Reverse chaining
40. Observation
Works just as well for coded
answers like this one where
you may also use LOINC
Answer codes
41. Specific LOINC codes for
each of these more
precisely specified
Observations
Profile [Observation]: Genetics
45. Diagnostic Report
The findings and interpretation of
diagnostic tests.
Some mix of atomic results, images,
textual and coded interpretations,
and formatted representation of
diagnostic reports.
For lab, pathology, radiology, and
other diagnostic services
(cardiology, etc)
LOINC is preferred code set
46. Imaging Study
Diagnostic Report can point to
Imaging Study
Diagnostic Report would typically
be a document in a presented
form and the narrative, with an
imaging study reference and
possibly some key images.
Imaging Study provides
information on a DICOM imaging
study, and the series and imaging
objects in that study.
loinc.org/collaboration/rsna
vs. Diagnostic Report
48. Questionnaire
(and Response)
LOINC has a rich data model
for representing collections,
data elements (questions), and
their answers.
10,000+ LOINC terms for
patient reported outcomes
measures
49. A quick sample of
the LOINC
questionnaire/
assessment
content
50. Social, psychological and behavioral
observations - 2015 Edition Health IT
Certification Criteria set
Adverse Childhood Events
Borderline Symptom List - 23 Item
Brief Interview for Mental Status (BIMS)
Confusion Assessment Method (CAM)
Core behavioral health terms (SAMHSA)
Edinburgh Postnatal Depression Scale
FACIT
Geriatric Depression Scale (GDS)
Humiliation, Afraid, Rape, and Kick
questionnaire
HIV Signs and Symptoms Checklist
howRU
Living with HIV (LIV-HIV)
Morse Fall Scale
My Mood Monitor
Neuro-QOL
PROMIS
PhenX
PHQ
VR 12 and 36
10,000+ patient assessment terms
Adding more all the time
Vreeman DJ, McDonald CJ, Huff SM. Representing patient assessments in LOINC®. AMIA Annu Symp Proc. 2010;832-836. PMID: 21347095 .
Vreeman DJ, McDonald CJ, Huff SM. LOINC® - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections. Int J Funct Inform
Personal Med. 2010;3(4):273-291.
51. Composition
Basic structure that
builds FHIR Documents
(immutable bundles with
attested narrative)
LOINC has a rich set of
clinical document type
and section codes (used
extensively in CDA).
loinc.org/document-ontology
52. DataElement
Individual pieces of data that might
be collected or stored, including
observations requested or
performed and questions on forms
A fair bit of overlap b/w LOINC
attributes and DE definition
(question text, answer list, etc)
LOINC could serve as primary
identifier for many
54. Consent
A record of a healthcare
consumer’s policy choices, which
permits or denies identified
recipient(s) or recipient role(s) to
perform one or more actions within
a given policy context, for specific
purposes and periods of time.
In its Document Ontology, LOINC
provides a set of codes for consent
documents that can be used as the
category codes.
57. URI
http://loinc.org
Codes
LOINC Codes (21176-3)
LOINC Parts (LP31755-9)
LOINC Answer Lists (LL715-4)
LOINC Answer Codes (LA11165-0)
Display Names for LOINC terms
Long Common Name
Short Name (less than 40 characters)
62. LOINC Parts
Coded representation of LOINC Fully
Specified Name attributes
Codes have the “LP” prefix
Represent them in UPPERCASE:
LP15491-1
Some Parts makeup MultiAxial Hierarchy
Other Part uses:
LOINC-specific filter properties
StructureDefinitions
ConceptMap (e.g. Part maps to SNOMED, RadLex, RxNorm)
63. Get child LOINCs under a Part
from the Multiaxial Hierarchy
A value set with an identifier of "http://loinc.org/vs/[partcode]"
http://test.fhir.org/r3/ValueSet/$expand?
url=http://loinc.org/vs/LP15491-1
64.
65. LOINC Answer Lists
Value sets of answers for observation
value of ordinal/nominal LOINC terms
Lists are given a code (LL prefix)
LOINC Answer File specifies the binding
strength (Example, Preferred, Normative)
Some lists are intensional, many are
enumerated in LOINC
LOINC Answer strings are given codes
(LA prefix)
66. Get a LOINC Answer
List value set
http://test.fhir.org/r3/ValueSet/$expand?
url=http://loinc.org/vs/LL378-1&_format=json
78. Take home lesson:
When clinical data is coded with LOINC
codes and made accessible by FHIR,
diverse IT applications can understand
and interact with it for the benefit of
many in the health ecosystem.
photo via IMLS DCC | cc-by