Healthcare information exchange, integration, and analytic capabilities are critical to safe, cost-effective, high-quality health care.
The technical infrastructure that serves as an enabler for these capabilities is a complex array of data exchange standards, clinical terminologies, and infrastructure technologies.
This presentation provides an overview of this technical infrastructure and relevant current and emerging technologies:
1. Data Exchange Standards: HL7, X12, IEEE, ASTM, NCPDP, and DICOM;
2. Clinical Terminologies: ICD, SNOMED, LOINC, RxNORM, and CPT;
3. Infrastructure Technologies: integration engines, terminology servers, standards conformance validators, integrated data repositories, and business intelligence tools.
The document provides an overview of domain analysis modeling presented by Abdul-Malik Shakir at an HL7 meeting. It discusses the purpose of domain analysis modeling, including revealing assumptions, reducing ambiguity, reconciling conflicts, expanding understanding, and consolidating ideas. It also covers the HL7 development framework methodology, modeling with the unified modeling language, and examples of use case diagrams and class diagrams for domain analysis modeling.
This document summarizes a presentation about standards influencing research information systems interoperability. The presentation covered domain analysis modeling using the Unified Modeling Language (UML), the value of modeling, and examples of domain analysis models including the Biomedical Research Integrated Domain Group (BRIDG) model. It also discussed using models to map requirements to standards like HL7 messages and the role of semantic interoperability infrastructure.
This document discusses domain analysis modeling and how standards influence research information systems interoperability. It provides an overview of domain analysis modeling, including what a domain analysis model is and the value of modeling. It also discusses the Unified Modeling Language and provides examples of domain analysis model diagrams. Additionally, it describes the Biomedical Research Integrated Domain Group domain analysis model and how requirements can be mapped to standards like HL7 messages through the use of models. Finally, it briefly discusses City of Hope's semantic interoperability infrastructure.
The document discusses how health information standards like HL7, X12N, LOINC and SNOMED enable interoperability between research information systems. It provides an overview of the HL7 Reference Information Model and vocabulary specifications that allow disparate clinical and administrative applications to exchange data. The presentation concludes with a discussion of City of Hope's Research Information Factory initiative to improve data sharing and analytics through a service-oriented architecture and integrated data repository based on health information standards.
This tutorial provides an introduction to the major HL7 RIM derived and RIM influenced standards. The student will also learn key aspects of the HL7 V3 Development Framework (HDF).
Topics Covered:
1. HL7 Development Framework
2. HDF Methodology
3. HL7 V3 Development Artifacts
4. Sample V3 Clients and Projects
The Clinical Document Architecture (CDA®) is HL7’s
specification for standards-based exchange of clinical
documents. CDA is based on the concept of scalable,
incremental interoperability and uses Extensible Markup
Language (XML), the HL7 Reference Information Model
(RIM), and controlled terminology for structure and
semantics. This tutorial presents the business case for
CDA, its primary design principles, and an overview of the
technical specification.
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.
The document provides an overview of domain analysis modeling presented by Abdul-Malik Shakir at an HL7 meeting. It discusses the purpose of domain analysis modeling, including revealing assumptions, reducing ambiguity, reconciling conflicts, expanding understanding, and consolidating ideas. It also covers the HL7 development framework methodology, modeling with the unified modeling language, and examples of use case diagrams and class diagrams for domain analysis modeling.
This document summarizes a presentation about standards influencing research information systems interoperability. The presentation covered domain analysis modeling using the Unified Modeling Language (UML), the value of modeling, and examples of domain analysis models including the Biomedical Research Integrated Domain Group (BRIDG) model. It also discussed using models to map requirements to standards like HL7 messages and the role of semantic interoperability infrastructure.
This document discusses domain analysis modeling and how standards influence research information systems interoperability. It provides an overview of domain analysis modeling, including what a domain analysis model is and the value of modeling. It also discusses the Unified Modeling Language and provides examples of domain analysis model diagrams. Additionally, it describes the Biomedical Research Integrated Domain Group domain analysis model and how requirements can be mapped to standards like HL7 messages through the use of models. Finally, it briefly discusses City of Hope's semantic interoperability infrastructure.
The document discusses how health information standards like HL7, X12N, LOINC and SNOMED enable interoperability between research information systems. It provides an overview of the HL7 Reference Information Model and vocabulary specifications that allow disparate clinical and administrative applications to exchange data. The presentation concludes with a discussion of City of Hope's Research Information Factory initiative to improve data sharing and analytics through a service-oriented architecture and integrated data repository based on health information standards.
This tutorial provides an introduction to the major HL7 RIM derived and RIM influenced standards. The student will also learn key aspects of the HL7 V3 Development Framework (HDF).
Topics Covered:
1. HL7 Development Framework
2. HDF Methodology
3. HL7 V3 Development Artifacts
4. Sample V3 Clients and Projects
The Clinical Document Architecture (CDA®) is HL7’s
specification for standards-based exchange of clinical
documents. CDA is based on the concept of scalable,
incremental interoperability and uses Extensible Markup
Language (XML), the HL7 Reference Information Model
(RIM), and controlled terminology for structure and
semantics. This tutorial presents the business case for
CDA, its primary design principles, and an overview of the
technical specification.
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.
City of hope research informatics common data elementsAbdul-Malik Shakir
This document discusses City of Hope's Research Informatics Common Data Elements (RI-CDE) and Research Informatics Enterprise Architecture Framework (RI-EAF). The RI-CDE is a repository that harmonizes common data elements and their relationships to enable decision support and interoperability. The RI-EAF is an architectural framework based on standards like TOGAF and HL7 that facilitates research information systems. It then analyzes diagnosis workflows and systems, identifies issues, and proposes improvements like leveraging the data warehouse to collect quality metrics.
My presentation on Healthcare Information Exchange technical infrastructure given as a skills building session at the eHealth Conference in Kenya (http://www.e-healthconference.or.ke/)
This is the first installment of the hitchhiker's guide to Health Level Seven. When complete this presentation will provide 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.
The presentation is being written and posted in five iterations. This particular installment introduces HL7 the organization and HL7 the portfolio of health informatics standard.
The document provides an overview of HL7 version 2.x messaging conformance and message profiles. It discusses the background and concepts of HL7 messaging, including why HL7 standards were developed and how message profiles can help reveal assumptions, reduce ambiguity, highlight conflicts, and consolidate viewpoints when specifying message structures. The document also outlines the key components of message profiles, including their static and dynamic definitions, and provides examples of how profiles constrain HL7 message structures.
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.
The document provides an outline for a course on the HL7 Clinical Document Architecture (CDA) standard. It includes sections on CDA technical artifacts like the reference information model, vocabulary domains, and data types. It then covers key aspects of the CDA standard specification like the definition of a clinical document and CDA components. The outline also lists learning objectives focused on understanding the CDA standard and creating templates to constrain it for specific use cases.
In this slide deck, I present two recently approved FHIR implementation guides: vital records death reporting (VRDR) and chronic disease bi-directional electronic referrals (BSeR). The objective of this presentation is to share insights regarding the processing steps required to go from concept to design, from design to published standard, and published standard into implementation. The VRDR and BSeR FHIR Implementation Guide STUs are used to illustrate and facilitate these learning objectives.
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.
The document provides an overview of Clinical Document Architecture (CDA), which is a document markup standard specified by HL7 for exchanging clinical documents. CDA is based on HL7's Reference Information Model (RIM) and allows for constraining CDA through implementation guides for specific document types, clinical domains, and use cases. The course outline then covers the history and development of HL7 v3 and CDA, how CDA is specified, CDA templates and profiles, implementation guides, and the C-CDA continuity of care document.
Theera-Ampornpunt N. HL7 Clinical Document Architecture: overview and applications. Presented at: HL7 CDA Workshop at the Faculty of Medicine Ramathibodi Hospital; 2013 Jun 20-21; Bangkok, Thailand. Invited speaker, in Thai.
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.
1) Medical errors in US hospitals kill between 44,000 and 98,000 patients per year. One way to reduce errors is through using interoperable software to share patient information between hospitals.
2) HL7 is an international messaging standard that enables healthcare application interoperability and information sharing between hospitals.
3) There is high demand for HL7-enabled applications and trained professionals worldwide, especially in countries like the US, UK, Australia, and Canada.
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.
Understanding clinical data exchange and cda (hl7 201)Edifecs Inc
On top of simple needs for doctors to be connected and be able to efficiently exchange information, there is a lot of external factors driving standardization of information exchange from market to various government initiatives and as the industry moves toward a population health model, there is more need for wider applicability of standards. This Slide share covers an introduction to CDA and establishes the importance of clinical documentation for claims and prior authorization attachments
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 information about HL7 standards and two experts, Dr. Supachai Parchariyanon and Dr. Nawanan Theera-Ampornpunt. It discusses HL7 Version 2 and Version 3 messaging standards. Version 2 is the most commonly used standard, using segments and a pipe-delimited format. Version 3 adds semantic capability using XML messages based on a Reference Information Model. The document compares the two versions and their approaches to addressing interoperability.
Interoperability Between Healthcare ApplicationsJohn Gillson
The document discusses interoperability between heterogeneous healthcare information systems. It describes standards for achieving interoperability, including HL7 versions 2 and 3 for message exchange, the Reference Information Model (RIM), Clinical Document Architecture (CDA), and Integrating the Healthcare Enterprise (IHE) profiles like Cross-Enterprise Document Sharing (XDS). It also discusses electronic health records (EHRs), master patient indexes (MPIs), virtual medical records (VMRs), and how the Professional Exchange Server (PXS) can bridge gaps between disparate healthcare systems through its various components.
The document discusses Singapore's healthcare system and efforts to implement an electronic health record (EHR) system nationally by 2010. Key points include:
- Singapore has a relatively affordable yet high quality healthcare system serving a population of 4.59 million people.
- Efforts are underway to address challenges of an aging population and rising costs through healthcare IT initiatives like the EMR Exchange (EMRX) system.
- The Ministry of Health aims to implement a national integrated EHR system by 2010 to improve care quality, safety and efficiency through clinical data sharing across providers.
This document provides information about HL7's certification exam for HL7 v2 Control, including how to take the exam, certifications offered, the application process, testing policies, exam scope and structure, available study materials, and sample exam questions. The exam consists of 70 multiple choice questions covering HL7 v2 Control chapters and is designed to test understanding of HL7 v2 messaging concepts, construction and processing rules, control segments, datatypes, and conformance. Exam questions address topics such as trigger events, acknowledgment protocols, segment attributes, field rules, and sample HL7 messages.
City of hope research informatics common data elementsAbdul-Malik Shakir
This document discusses City of Hope's Research Informatics Common Data Elements (RI-CDE) and Research Informatics Enterprise Architecture Framework (RI-EAF). The RI-CDE is a repository that harmonizes common data elements and their relationships to enable decision support and interoperability. The RI-EAF is an architectural framework based on standards like TOGAF and HL7 that facilitates research information systems. It then analyzes diagnosis workflows and systems, identifies issues, and proposes improvements like leveraging the data warehouse to collect quality metrics.
My presentation on Healthcare Information Exchange technical infrastructure given as a skills building session at the eHealth Conference in Kenya (http://www.e-healthconference.or.ke/)
This is the first installment of the hitchhiker's guide to Health Level Seven. When complete this presentation will provide 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.
The presentation is being written and posted in five iterations. This particular installment introduces HL7 the organization and HL7 the portfolio of health informatics standard.
The document provides an overview of HL7 version 2.x messaging conformance and message profiles. It discusses the background and concepts of HL7 messaging, including why HL7 standards were developed and how message profiles can help reveal assumptions, reduce ambiguity, highlight conflicts, and consolidate viewpoints when specifying message structures. The document also outlines the key components of message profiles, including their static and dynamic definitions, and provides examples of how profiles constrain HL7 message structures.
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.
The document provides an outline for a course on the HL7 Clinical Document Architecture (CDA) standard. It includes sections on CDA technical artifacts like the reference information model, vocabulary domains, and data types. It then covers key aspects of the CDA standard specification like the definition of a clinical document and CDA components. The outline also lists learning objectives focused on understanding the CDA standard and creating templates to constrain it for specific use cases.
In this slide deck, I present two recently approved FHIR implementation guides: vital records death reporting (VRDR) and chronic disease bi-directional electronic referrals (BSeR). The objective of this presentation is to share insights regarding the processing steps required to go from concept to design, from design to published standard, and published standard into implementation. The VRDR and BSeR FHIR Implementation Guide STUs are used to illustrate and facilitate these learning objectives.
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.
The document provides an overview of Clinical Document Architecture (CDA), which is a document markup standard specified by HL7 for exchanging clinical documents. CDA is based on HL7's Reference Information Model (RIM) and allows for constraining CDA through implementation guides for specific document types, clinical domains, and use cases. The course outline then covers the history and development of HL7 v3 and CDA, how CDA is specified, CDA templates and profiles, implementation guides, and the C-CDA continuity of care document.
Theera-Ampornpunt N. HL7 Clinical Document Architecture: overview and applications. Presented at: HL7 CDA Workshop at the Faculty of Medicine Ramathibodi Hospital; 2013 Jun 20-21; Bangkok, Thailand. Invited speaker, in Thai.
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.
1) Medical errors in US hospitals kill between 44,000 and 98,000 patients per year. One way to reduce errors is through using interoperable software to share patient information between hospitals.
2) HL7 is an international messaging standard that enables healthcare application interoperability and information sharing between hospitals.
3) There is high demand for HL7-enabled applications and trained professionals worldwide, especially in countries like the US, UK, Australia, and Canada.
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.
Understanding clinical data exchange and cda (hl7 201)Edifecs Inc
On top of simple needs for doctors to be connected and be able to efficiently exchange information, there is a lot of external factors driving standardization of information exchange from market to various government initiatives and as the industry moves toward a population health model, there is more need for wider applicability of standards. This Slide share covers an introduction to CDA and establishes the importance of clinical documentation for claims and prior authorization attachments
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 information about HL7 standards and two experts, Dr. Supachai Parchariyanon and Dr. Nawanan Theera-Ampornpunt. It discusses HL7 Version 2 and Version 3 messaging standards. Version 2 is the most commonly used standard, using segments and a pipe-delimited format. Version 3 adds semantic capability using XML messages based on a Reference Information Model. The document compares the two versions and their approaches to addressing interoperability.
Interoperability Between Healthcare ApplicationsJohn Gillson
The document discusses interoperability between heterogeneous healthcare information systems. It describes standards for achieving interoperability, including HL7 versions 2 and 3 for message exchange, the Reference Information Model (RIM), Clinical Document Architecture (CDA), and Integrating the Healthcare Enterprise (IHE) profiles like Cross-Enterprise Document Sharing (XDS). It also discusses electronic health records (EHRs), master patient indexes (MPIs), virtual medical records (VMRs), and how the Professional Exchange Server (PXS) can bridge gaps between disparate healthcare systems through its various components.
The document discusses Singapore's healthcare system and efforts to implement an electronic health record (EHR) system nationally by 2010. Key points include:
- Singapore has a relatively affordable yet high quality healthcare system serving a population of 4.59 million people.
- Efforts are underway to address challenges of an aging population and rising costs through healthcare IT initiatives like the EMR Exchange (EMRX) system.
- The Ministry of Health aims to implement a national integrated EHR system by 2010 to improve care quality, safety and efficiency through clinical data sharing across providers.
This document provides information about HL7's certification exam for HL7 v2 Control, including how to take the exam, certifications offered, the application process, testing policies, exam scope and structure, available study materials, and sample exam questions. The exam consists of 70 multiple choice questions covering HL7 v2 Control chapters and is designed to test understanding of HL7 v2 messaging concepts, construction and processing rules, control segments, datatypes, and conformance. Exam questions address topics such as trigger events, acknowledgment protocols, segment attributes, field rules, and sample HL7 messages.
Cda generation and integration for health information exchange based on cloud...ieeepondy
Cda generation and integration for health information exchange based on cloud computing system
+91-9994232214,7806844441, ieeeprojectchennai@gmail.com,
www.projectsieee.com, www.ieee-projects-chennai.com
IEEE PROJECTS 2016-2017
-----------------------------------
Contact:+91-9994232214,+91-7806844441
Email: ieeeprojectchennai@gmail.com
HL7 & HL7 CDA: The Implementation of Thailand's Healthcare Messaging Exchange...Nawanan Theera-Ampornpunt
This document discusses the implementation of HL7 and HL7 CDA standards for healthcare messaging exchange in Thailand. It provides background on the speaker, Nawanan Theera-Ampornpunt, and outlines Thailand's vision for eHealth, current status, and the role of standards. It then describes HL7 standards including versions 2 and 3, the Reference Information Model, and Clinical Document Architecture. The document outlines Ramathibodi Hospital's experience implementing HL7 messaging and CDA documents for lab results exchange. Next steps involve encouraging broader CDA adoption.
A presentation about the role of informatics standards in facilitating electronic data interchange, and a framework for service-oriented semantic interoperability among data systems.
Enhancing Information Retrieval by Personalization Techniquesveningstonk
This document outlines the research modules proposed for a PhD thesis focused on enhancing information retrieval through personalization techniques. The research will include four modules: 1) enhancing retrieval using term association graph representation, 2) integrating document and user topic models for personalization, 3) using genetic algorithms for document re-ranking, and 4) employing ant colony optimization for query reformulation. Module 1 will represent documents as a term graph and use the graph to re-rank documents based on term associations. The methodology for Module 1 includes preprocessing, frequent itemset mining to construct the term graph, and approaches for ranking documents based on semantic associations in the graph.
Generation of cda xml schema from dicom images using hl7 standard 2IAEME Publication
This document discusses generating CDA/XML schemas from DICOM images using the HL7 standard. It describes how HL7 CDA can be used to interface DICOM and HL7 formats. The process involves extracting data from DICOM images stored in a PACS archive, generating CDA-XML documents from the extracted data, and transmitting patient information summaries using HL7 messages. The research aims to improve interoperability between medical software applications and enable sharing of patient data.
The document discusses regional extension centers (RECs), electronic health records (EHRs), and meaningful use. It notes that RECs were established to help healthcare providers adopt EHRs and achieve meaningful use through technical assistance. RECs work to enroll over 100,000 priority primary care providers by 2012. The document also provides an overview of meaningful use criteria and incentives for Medicare and Medicaid providers that successfully adopt and utilize EHRs.
HIT Policy Committee Information Exchange Workgroup 9-13-10Brian Ahier
The document summarizes the agenda and discussion for an Information Exchange Workgroup meeting. It discusses setting up a Public Health Taskforce to address how to enable meaningful use reporting and electronic public health reporting. It also provides an update on the Provider Directory Taskforce, including its work plan and approach to defining requirements and use cases to inform the development of provider directories.
Patient Identification and Matching Initiative Stakeholder MeetingBrian Ahier
Initial findings from an environmental scan on patient matching were presented for discussion. Key findings included standardizing data attributes exchanged for matching, requiring EHRs to capture additional attributes like middle name and phone number, developing best practices for data governance and consumer engagement, and disseminating training on accurate data capture. Stakeholders provided feedback to inform next steps.
DARTNet is a non-profit research institute that facilitates collaboration between practice-based research networks (PBRNs) and academic partners. It aggregates electronic health record, claims, and patient-reported data to power quality improvement efforts and comparative effectiveness research. DARTNet provides data extraction and transformation software, clinical decision support, and performance reporting to help member organizations with meaningful use requirements and quality improvement. Its goal is to improve health and healthcare through collaborative, data-driven research and learning.
This document summarizes a panel discussion on meaningful use and achieving certification criteria for electronic health records. The panelists discussed how meaningful use goes beyond an IT project and requires organizational readiness, physician alignment, information technology considerations, and vendor sustainability. Key components for achieving meaningful use include governance, communication, physician alignment, IT considerations, quality measures, and legal issues around incentives.
Solutions to Accelerate Compliance with Affordable Care Act (ACA) Mandates an...Lightwell
The healthcare payer ecosystem in the United States has changed dramatically over the last decade and is expected to evolve at an even faster pace over the next few years. Many world-class companies involved in healthcare payment processing are finding themselves constrained by their existing information technology infrastructure. The silos that they built around Business to Business (B2B) processing are constraining them, making it difficult to achieve governmental mandates and (more importantly) increase processing efficiency and competitive advantage.
The payers’ world today requires adherence to multiple industry standards, government regulations, and industry expectations. It is becoming more technical and payers need to become more agile (Figure 1). The IBM Standards Processing Engine Solution for Healthcare Payers is your answer to B2B enablement in today’s complex HIPAA/ACA (Affordable Care Act) world.
The document discusses health information exchange and HL7 standards. It provides an overview of the importance of health information exchange and standards. It then describes HL7, including what HL7 is, its mission to enable interoperability and sharing of health data, the versions and products of HL7 standards, and examples of HL7 standard adoption.
4. walsteijn.edifecs enabling value based healthcare 2015 04 09 v3Matthijs van Hagen
1) The document discusses the shift in healthcare from fee-for-service to fee-for-value and value-based care. It outlines challenges around information exchange, process automation, and community collaboration that are key to scaling partnerships under value-based models.
2) Edifecs is introduced as a partnership platform that can address these challenges through integrated data, automated workflows, and shared intelligence across organizations.
3) The platform is depicted as enabling various components of value-based care including population health monitoring, intervention programs, and payment calculations.
Despite massive investment in both people and technology, health systems are still struggling to maximize the value of their greatest asset: their data. Delivering high-quality, valuable insight from data and pushing those insights to the frontline healthcare professionals remains challenging and expensive. According to a recent survey conducted by HealthLeaders Media, health systems are hiring more analytics staff than almost any other role in health care. We know there’s an alternative to the massive hiring of analytics staff, a better way to dramatically increase the efficiency of your existing resources and provide an ROI that grows over time. The better way is the Rapid Response Analytics Solution.
Rapid Response Analytics Solution (RRA Solution) consists of two elements: curated, modular data called DOS™ Marts and Population Builder, a powerful self-service tool that lets any type of user, from physician executive to frontline nurses and population health teams explore their data and quickly build and share populations without needing to know how to write SQL and data science code. RRA Solution increases an analytics team’s productivity by up to 10x and reduces its time to develop analytics by as much as 90 percent. Analysts can spend more time focusing on key strategic analysis and less time on repetitive tasks that can lead to inconsistent results and a backlog of requests.
Learning Objectives:
- Discover how RRA Solution allows you to take components and customize them to quickly tailor and deliver meaningful insights.
- Learn about DOS™ Marts and Population Builder and how they drive consistency and efficiency, without needing to know SQL and data science coding.
- Understand how to use RRA Solution to increase the value of your analytics team and get them operating at the top of their function.
View this webinar and learn how RRA Solution can help you achieve a 10x increase in productivity and reduce your time to develop new analytics reports by more than 90 percent.
The Information Exchange Workgroup will make recommendations to the HIT Policy Committee on policies, guidance governance, sustainability, architectural, and implementation approaches to enable the exchange of health information and increase capacity for health information exchange over time.
vincentbarner_HI-560-Health Care Data Analysis_Unit-9_assignmentvincent barner
This proposal aims to gather and analyze data on the efficiency of medical kiosks in clinical environments. Key objectives are to use statistical analysis to compare kiosk services to clinician services, and to test the potential for kiosks to evolve towards full automation. The proposal outlines stakeholders, background on kiosk benefits and challenges, a literature review on patient preferences for technology vs in-person care, and proposes measures to analyze financial impacts, technology performance, and fulfill meaningful use objectives. The budget table provides an example of costs that could be requested to support the proposed research.
1) The document describes an Insights as a Service platform that can help address multiple clinical, scientific, and economic needs by providing analytics and insights derived from large amounts of individual health data.
2) The platform establishes a standardized, industrialized process for generating insights through analytics by integrating data from various sources and providing role-based analytic tools and results.
3) Use cases for the platform include transitioning from volume-based to value-based healthcare through risk prediction and cost/utilization analytics, generating real-world evidence through large-scale analytics of electronic health data, and powering condition-specific care and population health management solutions.
The document discusses the Query Health initiative, which aims to establish standards and services for distributed population queries of clinical records to enable a national "learning health system." It describes some pilots that are launching this summer and fall to test querying data from various sources like public health departments and the FDA to understand population health metrics and drug safety. The document advocates that implementing distributed population queries following common standards can improve using health IT to benefit patients and populations by aggregating and analyzing vast health data in real-time.
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a.
6/29/2016 library.ahima.org/PB/DataStandards#appxA
http://library.ahima.org/PB/DataStandards#appxA 1/20
Data Standards, Data Quality, and Interoperability (2013
update)
Remove from myBoK
Editor's note: This update replaces the 2007 practice brief "Data Standards, Data Quality, and Interoperability."
Data quality and consistency are critical to ensuring patient safety, communicating delivery of health services, coordinating
care, and healthcare reporting. Assessing the quality and consistency of data requires data standards. This practice brief
provides health information management (HIM) professionals with a clear understanding of data standards as a tool to
enable interoperability and promote data quality.
The online version of this practice brief [...] is accompanied by an appendix that provides HIM professionals with a list of
standards to reference in data dictionary development, electronic health records, the exchange of health information, and
general data management processes to ensure information integrity and reliability. Evaluation of data validity, reliability,
completeness, and timeliness are accomplished through a combination of human and machine processes in healthcare, and
the list of data standard sources is a helpful reference guide when more detailed information is required.
Data Standards and Regulatory Framework
Data standards are "documented agreements on representations, formats, and definitions of common data. Data standards
provide a method to codify invalid, meaningful, comprehensive, and actionable ways, information captured in the course of
doing business." Rules to describe how the data is recorded to ensure consistency across multiple sources is another way to
think of data standards. Without data standards and data quality, the future of interoperability is bleak. Data fields and the
content of those fields need to be standardized.
Standards development organizations (SDOs) address a variety of aspects of health information and informatics. For
example, the American Society for Testing and Materials (ASTM) and Health Level Seven (HL7) target clinical data
standards. Insurance and remittance standards are a focus of the Accredited Standards Committee (ASC) X12. Standards to
transmit diagnostic images are developed through Digital Imaging and Communications in Medicine (DICOM). The
National Council for Prescription Drug Programs (NCPDP) represents pharmacy messages.
The Institute of Electrical and Electronics Engineers (IEEE), HL7, ASTM, and others develop data models and
frameworks. See the table on page 65 for a breakdown of regulatory agencies responsible for working with the American
National Standards Institute (ANSI) to drive data standards to achieve interoperability.
The AHIMA Leadership Model states that HIM professionals should serve as the leaders in healthcare organizations and in
their professional community for ensuring that data content standards are identified, understood, implemented, a ...
We have spent a lot of time this semester talking about various as.docxmelbruce90096
We have spent a lot of time this semester talking about various aspects of the health care industry -- cost, access, utilization, strategy. Another important aspect that needs to be balanced with all these other concerns is QUALITY!
What does QUALITY mean in health care?
How do you go about defining quality in health care? Is there just one measure of quality, or more?!
Find one outside article that addresses health care quality. Tell us about the article and how they define quality.
Be sure to post your citations
Alicia AliendreCOLLAPSE
Top of Form
Parent Post
In the health care industry quality of care means everyone participating in ways to improve health care such as health care professionals, patients and their families, researchers, payers, planners and educators. These changes lead to better outcomes in health, a better system performance in care, as well as better professional development.
When you describe quality, it’s the process for making strategic choices in health systems for quality assurance in health care and decision making. Although there are many outcomes to improve quality of care, the main concern is accomplishing a goal that will be beneficial for the future.
Good quality means providing patients with appropriate services in a technically competent manner, with good communication, shared decision making, and cultural sensitivity. In practical terms, poor quality can mean too much care (e.g., providing unnecessary tests, medications, and procedures, with associated risks and side effects), too little care (e.g., not providing an indicated diagnostic test or a lifesaving surgical procedure), or the wrong care (e.g., prescribing medicines that should not be given together, using poor surgical technique).
Quality can be evaluated based on structure, process, and outcomes (Donabedian 1980). Structural quality evaluates health system characteristics, process quality assesses interactions between clinicians and patients, and outcomes offer evidence about changes in patients' health status. All three dimensions can provide valuable information for measuring quality, but the published quality-of-care literature reveals that there is more experience with measuring processes of care.
Marie Savino
To many health care consumers quality of health care can mean several different things, including wait times, doctors professionalism, the courtesy of the medical staff and use of updated medical technology, which can all effect how people judge the quality of health care they are receiving. These characteristics may be important to the patient but they do not add up to a quality health care system. Quality health care can be defined as levels of superiority which distinguish the health care provided based on accepted standards of quality. Several factors help measure quality of care:
* Safety- health care does not cause harm
* Effective- health care service is based on scientific and medical knowledge and is right for the.
Headwinds of Patient Access TransformationInsights10
Healthcare providers are moving the needle in the healthcare delivery landscape with the advent of digital health and technology solutions. Momentum around digital transformation continues to build, which aims to enhance consumer engagement and patient access. To get a report in detail, contact us at - info@insights10.com
Direct Boot Camp 2 0 Federal Agency requirements for exchange via directBrian Ahier
The FHA Directed Exchange Workgroup provides updates on efforts to increase the adoption of Direct for health information exchange between federal agencies and non-federal entities. They are educating federal partners on Direct technology and policies, developing common understanding of use cases and security requirements, and identifying baseline documents and FAQs. Establishing a common federal Direct policy would greatly increase its adoption for information exchange. Focused workgroups address Directed exchange, security, and interoperability issues. Risks to Directed exchange between agencies are being identified and recommendations will be provided to ONC.
Patient-Centered Care Requires Patient-Centered Insight: What We Can Do To C...Health Catalyst
Health systems and providers are inundated with measurement systems and reporting. Why would we want to add to the measurement mayhem? The real question is, “Are we measuring what matters?”
Carolyn Simpkins MD, PhD, chief medical informatics officer, will discuss how putting the patient at the center of the measurement matrix can bring coherence and completeness to the picture of care delivery performance across the patient journey, and therefore the performance of the healthcare ecosystem.
She will describe the building blocks for patient-centered measurement and how other metrics, patient-reported outcomes, and patient satisfaction fit into this approach. Carolyn will also review the challenges that have kept health systems from completing a patient-centered outcomes approach and why we are poised to break through. Finally, she will share case studies of organizations who have begun to pioneer the use of patient centered metrics to improve care and outcomes.
Similar to Standards Driven Healthcare Information Integration Infrastructure (20)
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Standards Driven Healthcare Information Integration Infrastructure
1. June 2016 Page: 1 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Standards Driven Healthcare
Information Integration
Infrastructure
AbdulMalik Shakir
President and Chief Informatics Scientist
Hi3 Solutions | your healthcare standards conformance partner
2. June 2016 Page: 2 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
About Me • My information technology experience
spans more than four decades,
including 35+ years in healthcare.
• I have contributed to the advancement
of healthcare related standards since
1991 through volunteer participation in:
Health Level Seven (HL7),
X12N Healthcare Task Group,
OMG Healthcare Domain Task
Force,
the Workgroup for Electronic Data
Interchange (WEDI), and
the IEEE Joint Workgroup for a
Common Data Model.
• I served on the HL7 Board of Directors
for three terms (a total of six years) and
as co-chair of the HL7 Modeling and
Methodology workgroup since 1994.
• I received the HL7 Fellowship award in
2012
AbdulMalik Shakir
President and Chief Informatics Scientist
Hi3 Solutions | your healthcare standards conformance partner
3500 West Olive Ave, Suite # 300, Burbank, CA 91505.
3. June 2016 Page: 3 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
SESSION ABSTRACT
Healthcare information exchange, integration, and analytic
capabilities are critical to safe, cost effective, high quality
healthcare.
The technical infrastructure that serves as an enablers for
these capabilities is a complex array of data exchange
standards, clinical terminologies, and infrastructure
technologies.
This presentation provides an overview of this technical
infrastructure and relevant current and emerging technologies:
Data Exchange Standards:
HL7, X12, IEEE, ASTM, NCPDP, and DICOM;
Clinical Terminologies:
ICD, SNOMED, LOINC, RxNORM, and CPT;
Infrastructure Technologies:
integration engines, terminology servers, standards conformance
validators, integrated data repositories, and business intelligence tools.
4. June 2016 Page: 4 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare
Information Integration Infrastructure
Health Information Integration
Health Information Transformation
Health Information Standards Compliance
Inbound
Information
Processing
Standard Compliance and
Conformance Validation
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Analysis,
Visualization,
and Reporting
Integrated Data
Repository
Business Intelligence
& Decision
Support Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Healthcare Quality and Performance Monitoring
Reference Model
Developer
Reference
Information Model
Standards Development
Organization
Terminology
Author
5. June 2016 Page: 5 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Electronic Healthcare
Information Exchange Standards
6. June 2016 Page: 6 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Effective, meaningful health information exchange
requires that all parties involved in information
exchange adhere to predetermined transaction
formats, usage constraints, and exchange
protocols.
Health Information Exchange
Inbound
Information
Processing
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Health Information Exchange
7. June 2016 Page: 7 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Electronic Health Information Exchange
Pharmacies
Claims/Prescriptions
Testing Organizations
Lab/Images Government
Medicare/Medicaid
Orders
Results
Images
Hospitals
Encounter Data
Patient Data
Medical Records
County/Community
Entities
Mental Health
Family Planning
Medical Society
Public Health
Patients/Consumers
Employers
Health Information
Insurance Updates
Enrollment
Payors
Eligibility
Referral Process
Claim Status
Physicians
Referral Process
Care Plans
Consults
8. June 2016 Page: 8 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare
Information
System
HL7
HL7
HL7, X12N
HL7, X12N
HL7
HL7
DICOM
IEEE MIB,
ASTM
X12N / HL7 (Non-US only)
X12N
NCPDP
Healthcare Data Interchange Standards
9. June 2016 Page: 9 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Leading U.S. Healthcare Data Interchange SDOs
IEEE
Institute of Electrical and Electronic
Engineers
NCPDP
National Council for Prescription
Drug Programs
X12N
Insurance Subcommittee of X12
ASTM
American Society for Testing and
Materials
DICOM
Digital Imaging and
Communications in Medicine
HL7
Health Level Seven
10. June 2016 Page: 10 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
IEEE
Instrumentation communication
standards and generalized information
interchange standards
NCPDP
Standards for communication of
prescription, billing, and other pharmacy
material
X12N
Standards for exchange of healthcare
insurance and billing information
ASTM
Lab reporting standards and standard
guide for content and structure of
computer-based patient records
DICOM
Standards for exchanging digital
radiology images
HL7
Inter-application interoperability
standards for healthcare
Leading U.S. Healthcare Data Interchange SDOs
11. June 2016 Page: 11 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
X12 HIPAA Transactions
Health Claims or Equivalent Encounter Information Standard Transaction Form: X12-
837 - Health Care Claim
Claims Payment and Remittance Advice Standard Transaction Form: X12-835 - Health
Care Claim Payment/Advice Standard
Healthcare Claims Status Standard Transaction Form: X12-276/277 - Health Care Claim
Status Request and Response
Coordination of Benefits Standard Transaction Form: X12-837 - Health Care Claim
Referral Certification and Authorization Standard Transaction Form: X12-278 - Health
Care Services Review - Request for Review and Response
Enrollment and Disenrollment in a Health Plan Standard Transaction Form: X12-834
Premium Payments Standard Transaction Form: X12-820
Eligibility for a Health Plan Standard Transaction Form: X12-270/271
First Report of Injury Standard Transaction Form: X12-148
Claims Attachments Standard Transaction Form: X12-275
12. June 2016 Page: 12 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HL7 Standards Referenced in US
Regulations
Clinical Document Architecture (CDA®)
Continuity of Care Document (CCD®)
HL7 EHR-S Implementation Guide: S&I Framework
Laboratory Results Interface (LRI) Functional Requirements,
Release 1
HL7 Implementation Guide for CDA® Release 2: Additional
CDA R2 Templates - Clinical Documents for Payers – Set 1
, Release 1 (US Realm)
HL7 Implementation Guide for CDA® Release 2:
Consolidated CDA Templates for Clinical Notes (US Realm)
DSTU Release 2
HL7 Implementation Guide for CDA® Release 2: Digital
Signatures and Delegation of Rights, Release 1
HL7 Implementation Guide for CDA® Release 2: Healthcare
Associated Infection (HAI) Reports
HL7 Implementation Guide for CDA® Release 2: IHE Health
Story Consolidation, Release 1.1 (US Realm)
HL7 Implementation Guide for CDA® Release 2: National
Health Care Surveys (NHCS), Release 1 (US Realm)
HL7 Implementation Guide for CDA® Release 2: Quality
Reporting Document Architecture, DSTU Release 2 (QRDA)
HL7 Implementation Guide for CDA® Release 2: Reporting
to Public Health Cancer Registries from Ambulatory
Healthcare Providers, Release 1 (US Realm)
HL7 Implementation Guide: Data Segmentation for Privacy
(DS4P), Release 1
HL7 Implementation Guide: Decision Support Service,
Release 1.1 (US Realm) Draft Standard for Trial Use
HL7 Version 2.5.1 Implementation Guide: Electronic
Laboratory Reporting to Public Health Release 2, Release
1.1 (US Realm)
HL7 Version 2.5.1 Implementation Guide: Orders and
Observations; Interoperable Laboratory Result Reporting to
EHR, Release 1 in ZIP format (1.07 MB)
HL7 Version 2.5.1 Implementation Guide: S&I Framework
Lab Results Interface, Release 1 (US Realm)
HL7 Version 2.5.1 Implementation Guide: S&I Framework
Laboratory Orders from EHR, DSTU Release 2 (US Realm)
HL7 Version 2.5.1 Implementation Guide: S&I Framework
Laboratory Test Compendium Framework R2, DSTU
Release 2 (US Realm) in PDF (2.38 MB)
HL7 Version 3 Implementation Guide: Context-Aware
Knowledge Retrieval (Infobutton) Service-Oriented
Architecture Implementation Guide, Release 1
HL7 Version 3 Implementation Guide: Family
History/Pedigree Interoperability, Release 1
HL7 Version 3 Standard: Clinical Decision Support
Knowledge Artifact Specification, Release 1.2
HL7 Version 3 Standard: Clinical Genomics; Pedigree,
Release 1
HL7 Version 3 Standard: Context Aware Knowledge
Retrieval Application (“Infobutton”), Knowledge Request,
Release 2
Messaging Standard Version 2.3.1
Messaging Standard Version 2.5.1
Vocabulary Specificationshttp://www.hl7.org/implement/standards/hhsifr.cfm?ref=common
13. June 2016 Page: 13 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare Interoperability Standards
IEEE
Institute of Electrical and Electronic
Engineers
NCPDP
National Council for Prescription Drug
Programs
X12N
Insurance Subcommittee of X12
ASTM
American Society for Testing and Materials
DICOM
Digital Imaging and Communications in
Medicine
HL7
Health Level Seven
Standards Accrediting
Bodies
Standards Authority
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDOs
Accredits
Healthcare Interoperability
Standards
Produce
Healthcare Industry
Stakeholders
Stakeholders
Approves
Healthcare Industry
Stakeholders
Healthcare Enterprise
14. June 2016 Page: 14 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Controlled Clinical Terminologies
15. June 2016 Page: 15 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Controlled Clinical Terminologies
In addition to standards for data interchange, it is
essential to employ a common set of clinical terminology
and ontology systems.
Clinical problems and diagnoses are usually coded with
International Classification of Diseases Coding Systems
(ICD-9 or ICD-10)
Medical procedures are commonly designated using
Current Procedural Terminology Codes (CPT).
Clinical observations procedures and observation result
values are encoded using a variety of standard,
proprietary, and locally defined code. LOINC and
SNOMED are widely utilized clinical coding schemes.
RxNorm is used for medication identifiers and metadata.
16. June 2016 Page: 16 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
www.regenstrief.org/loinc [GO]
LOINC
17. June 2016 Page: 17 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
SNOMED
18. June 2016 Page: 18 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
RxNorm
19. June 2016 Page: 19 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Standards-Based
Health Information Exchange
Inbound
Information
Processing
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Health Information Exchange
Standards Development
Organization
Terminology
Author
20. June 2016 Page: 20 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HIE Standards Conformance
Profiles
21. June 2016 Page: 21 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Revealing assumptions is an essential component of effective communication.
Yes, I do
play
football.
Do you
play
football?
Conformance Profiles – Why?
22. June 2016 Page: 22 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Profiles are an effective means of documenting our assumptions
about message structures
Conformance Profiles – Why?
Do you
use
HL7?
MSH
EVN
PID
[PD1]
[ { NK1 } ]
Yes, I
use
HL7.
MSH
EVN
PID
[ NK1 ]
OBX
23. June 2016 Page: 23 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Profiles provide a language that allows us to
unambiguously express our understanding and assumptions about the
information in a message structure used in a particular scenario
Conformance Profiles – What?
24. June 2016 Page: 24 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Profiles – What?
Use Case Model
Use Cases
Use Case Actors
Exchange Scenarios
Triggering Events
Receiver Responsibilities
Content Profiles
Element Usage and Cardinality
Coded Element Terminology Bindings
ud Use Case Model
Local Registry User
1.0 Immunization
History Query
2.0 Patient
Demographic
Update
3.0 Vaccine
Record Update Prov ider Organization
SIIS Registry
Administration
4.0 Immunization
Statistical Analysis
Trusted Third PartiesLocal Registry
Administration
SIIS Analysis Report
SIIS Analysis Report
SIIS Analysis Report SIIS Analysis Report
Update Confirmation
Update Confirmation
Query Response
Vaccine Record Update
Patient Information Update
Immunization History Request
sd Interactions
Requesting Registry
System
SIIS SIP Immunization
Information Exchange
System
Responding Registry
System
Vaccination Record Query (VXQ)
[Invalid VXQ Message]: General Acknowledgement (ACK)
[Valid VXR Message]: Vaccination Record Query (VXQ)
[No Matching Record]: Query Acknowledgement (QCK)
[Invalid QCK Message]: General Acknowledgement (ACK)
[Valid QCK Message]: Query Acknowledgement (QCK)
[Multiple Matching Records]: Vaccination Query Response (VXX)
[Invalid VXX Message]: General Acknowledgement (ACK)
[Valid VXX Message]: Vaccination Query Response (VXX)
[Single Matching Record]: Vaccination Query Response (VXR)
[Invalid VXR Message]: General Acknowledgement (ACK)
[Valid VXR Message]: Vaccination Query Response (VXR)
25. June 2016 Page: 25 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Major Publishers of Health Information
Exchange Standards Conformance Profiles
Washington Publishing Company (WPC)
WPC is a provider of services, publications and products to entities that develop or consume Electronic Data
Interchange Standard Transactions.
WPC is the publisher of implementation guides for HIPAA related transactions and standards.
WPC has a close affiliation and working relationship with ASC X12 and the Workgroup for Electronic Data
Exchange (WEDI)
Integrating the Healthcare Enterprise (IHE)
IHE brings together healthcare information technology stakeholders to implement standards for communicating
patient information efficiently throughout and among healthcare enterprises by developing a framework for
interoperability.
IHE does not create new standards, but rather drives the adoption of standards to address specific clinical
needs.
IHE Integration Profiles specify precisely how standards are to be used to address these needs, eliminating
ambiguities, reducing configuration and interfacing costs, and ensuring a higher level of practical
interoperability.
Public Health Data Standards Consortium (PHDSC)
The National Center for Health Statistics (NCHS) was instrumental in establishing the Public Health Data
Standards Consortium (Consortium) in 1999.
The Consortium, which incorporated as a not-for-profit organization in 2003, is a national non-profit member-
based partnership of federal, state and local health agencies; national and local professional associations; and
public and private sector organizations and individuals.
PHDSC participates as an active member of the standards development organizations, Health Level Seven
(HL7), Accredited Standards Committee (ASC) X12, and the National Uniform Billing Committee (NUBC) to
ensure that the data needs of public health and health services research are incorporated within the standards
development process.
26. June 2016 Page: 26 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare Interoperability
Standards
DefinesHealthcare Industry
Stakeholders
Stakeholders
Health Information Exchange
Use Case
Community of Users and
Health Information Exchange
Partners
Consortiums
Implementation
Profile
Analyze
Use
Produces
Controlled
Terminologies
Use
Clinical Terminologist and
Medical Specialties
Terminology Authors
Produces
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDOs
Produces
Conformance Profile Authoring
27. June 2016 Page: 27 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Profile Authoring
Community of Users and
Health Information Exchange
Partners
Consortiums
Participates
in
Profiles and
Implementation Guides
Healthcare Interoperability
Standards
Produce
Healthcare Industry
Stakeholders
Stakeholders
Approves
Is Refined By
Software Development and
Vendor Organizations
Implementers
Standards Implementation
Produce
28. June 2016 Page: 28 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Health Information Standards
Compliance
29. June 2016 Page: 29 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Health Information Standards Compliance
Health Information Standards Compliance
Inbound
Information
Processing
Standard Compliance and
Conformance Validation
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Standards Development
Organization
Terminology
Author
30. June 2016 Page: 30 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Profile Authoring Tools
Message Workbench (MWB)
Model Driven Health Tools (MDHT)
ART-DECOR
Trifolia Workbench
MS Word
32. June 2016 Page: 32 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Instance Validation Services
NIST HL7 v2 and v3 CDA Validation
SMART C-CDA Collaborative
CDC PHIN Message Quality Framework
Lantana Consulting Group CDA Validator
IHE Gazelle HL7 Validator
33. June 2016 Page: 33 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Instance Validation Commercial Products
Interface Engine Products
Interface Engine Product Adapters
Terminology Management Technologies
Hi3 Solutions Product Suite
34. June 2016 Page: 34 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Validation
Community of Users and
Health Information Exchange
Partners
Consortiums
Profiles and
Implementation Guides
Produce
Software Development and
Vendor Organizations
Implementers
Standards Implementation
Produce
Affiliates, Specialties,
Organizations
Conformance Realm
Regulators, Service
Providers, Middleware
Vendors
Conformance Certifiers
Is Used By
Supports
Establishes
35. June 2016 Page: 35 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Standards Driven Health Information
Exchange
Health Information Exchange
Health Information Standards Compliance
Inbound
Information
Processing
Standard Compliance and
Conformance Validation
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Standards Development
Organization
Terminology
Author
36. June 2016 Page: 36 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare Interoperability Standards
Standards Accrediting
Bodies
Standards Authority
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDOs
Accredits
Healthcare Interoperability
Standards
Produce
Healthcare Industry
Stakeholders
Stakeholders
Approves
Healthcare Industry
Stakeholders
Healthcare Enterprise
37. June 2016 Page: 37 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HIE Conformance Profiles
Community of Users and
Health Information Exchange
Partners
Consortiums
Participates
in
Profiles and
Implementation Guides
Healthcare Interoperability
Standards
Produce
Healthcare Industry
Stakeholders
Stakeholders
Approves
Is Refined By
Software Development and
Vendor Organizations
Implementers
Standards Implementation
Produce
38. June 2016 Page: 38 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Conformance Validation
Community of Users and
Health Information Exchange
Partners
Consortiums
Profiles and
Implementation Guides
Produce
Software Development and
Vendor Organizations
Implementers
Standards Implementation
Produce
Affiliates, Specialties,
Organizations
Conformance Realm
Regulators, Service
Providers, Middleware
Vendors
Conformance Certifiers
Is Used By
Supports
Establishes
39. June 2016 Page: 39 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Health Information Exchange
Standards and Profiles
Standards Accrediting
Bodies
Standards Authority
Community of Users and
Health Information Exchange
Partners
Consortiums
Participates
in
Profiles and
Implementation Guides
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDO
Standard Developing
Organizations
SDOs
Accredits
Healthcare Interoperability
Standards
Produce
Produce
Healthcare Industry
Stakeholders
Stakeholders
Approves
Is Refined By
Software Development and
Vendor Organizations
Implementers
Standards Implementation
ProduceHealthcare Industry
Stakeholders
Healthcare Enterprise
Employ
Affiliates, Specialties,
Organizations
Conformance Realm
Regulators, Service
Providers, Middleware
Vendors
Conformance Certifiers
Is Used By
Supports
Establishes
40. June 2016 Page: 40 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Health Information
Integration
41. June 2016 Page: 41 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Reference Information Model Derived
Integrated Data Repository
Integrated Data
Repository
Reference Model
Developer
Reference
Information Model
42. June 2016 Page: 42 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare
Reference Information Models
CDISC: Operational Data Model (ODM)
HL7/CDISC: Biomedical Research
Integrated Domain Group (BRIDG) Model
CDC: Public health conceptual data model
FDA: Janus Clinical Trials Repository
(CTR)
HL7: Reference Information Model
43. June 2016 Page: 43 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HL7 Version 3.0
Reference Information
Model
The HL7 Reference Information Model is the information
model from which all other information models and message
specifications are derived.
44. June 2016 Page: 44 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HL7 RIM Model Development Process
B
X F
E
C A D
G
1
0..*
0..* 1 0..* 1
0..* 0..1 0..*1
Model I Model II Model III
A
C
B
0..*
0..*
0..* 1 X
C
B
0..*
0..*
0..* 1
D
A B0..* 0..*
0..*
1
45. June 2016 Page: 45 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
HL7 Reference Information Model
The HL7 Reference Information Model (RIM) is the
combined consensus view of information from the
perspective of the HL7 working group and the HL7
international affiliates
The RIM is the ultimate source from which the information-
related content of all HL7 version 3.0 protocol specification
standards is drawn.
Development of the RIM began in April 1996 and was first
deployed for use during the January 1997 HL7 working
group meeting.
The HL7 RIM was published as an ANSI standard in July
2003 and as an ISO standard in August 2006 .
46. June 2016 Page: 46 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Normative R6 RIM Class Diagram
Version 2.44 11/22/2013
47. June 2016 Page: 47 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
RIM Derived
Integrated Data Repository
Integrated Data
Repository
Reference Model
Developer
Reference
Information Model
48. June 2016 Page: 48 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Health Information Integration
Health Information Integration
Inbound
Information
Processing
Source
Information System
Information
Transformation
Services
Integrated Data
Repository
Reference Model
Developer
Reference
Information Model
Clinical Data Repository
Enterprise Data Warehouse
Disease Registries
Encounter Data
Clinical Outcomes
Resource Utilization
Patient Experience
49. June 2016 Page: 49 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare Quality and
Performance Monitoring
50. June 2016 Page: 50 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare Quality and Performance
Monitoring
Inbound
Information
Processing
Source
Information System
Information
Transformation
Services
Analysis,
Visualization,
and Reporting
Integrated Data
Repository
Business Intelligence
& Decision
Support Services
Healthcare Quality and Performance Monitoring
Clinical Data Repository
Enterprise Data Warehouse
Disease Registries
51. June 2016 Page: 51 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Quality Measurement in Healthcare
Quality measurement in health care is the process of
using data to evaluate the performance of health
plans and health care providers against recognized
quality standards.
Quality measures assess care across the full
continuum of health care delivery, from the level of
individual physicians all the way up to the level of
health insurance plans.
Hundreds of different quality measures are used in
health care.
These measures generally fall into four broad
categories: 1) structure, 2) process, 3) outcome, and 4)
patient experience.
52. June 2016 Page: 52 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Measurement Development Process
Convening a committee whose members have expertise on the particular
issue to be measured
Evaluating the evidence base, including primary research and clinical
practice guidelines
Reaching consensus on the best measurement approach by considering
numerous criteria, including what the proposed measure would evaluate, the
scientific soundness of the evidence base, the feasibility of data collection
and measurement
Developing detailed specifications about what will be measured and how
Vetting the specifications with key interest groups, such as professional
societies or consumer groups
Conducting rigorous testing to ensure that the measure works as it was
designed
Obtaining final approval by the entity charged with developing the
measure
53. June 2016 Page: 53 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Quality Measures Developers
Government agencies, such as
the Centers for Medicare and Medicaid Services (CMS)
the Agency for Health Care Research and Quality (AHRQ)
Private nonprofits, such as
the Joint Commission on Accreditation of Health Care
Organizations (JCAHO)
the National Committee for Quality Assurance (NCQA)
For-profit companies, such as
Healthgrades and
U.S. News and World Report
54. June 2016 Page: 54 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Standards Driven Healthcare Quality and
Performance Measurement
Health Information Integration
Health Information Standards Compliance
Inbound
Information
Processing
Source
Information System
Information
Transformation
Services
Analysis,
Visualization,
and Reporting
Integrated Data
Repository
Business Intelligence
& Decision
Support Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Healthcare Quality and Performance Monitoring
Standards Development
Organization
Terminology
Author
55. June 2016 Page: 55 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare
Information Integration Infrastructure
Solutions
Health Information Integration
Health Information Transformation
Health Information Standards Compliance
Inbound
Information
Processing
Standard Compliance and
Conformance Validation
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Analysis,
Visualization,
and Reporting
Integrated Data
Repository
Business Intelligence
& Decision
Support Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Healthcare Quality and Performance Monitoring
Reference Model
Developer
Reference
Information Model
Standards Development
Organization
Terminology
Author
56. June 2016 Page: 56 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Healthcare
Information Integration Infrastructure
Solutions
Health Information Integration
Health Information Transformation
Health Information Standards Compliance
Inbound
Information
Processing
Standard Compliance and
Conformance Validation
Outbound
Information
Processing
Source
Information System
Receiving
Information System
Information
Transformation
Services
Analysis,
Visualization,
and Reporting
Integrated Data
Repository
Business Intelligence
& Decision
Support Services
Health Information
Exchange Standards
Controlled Clinical
Terminology Services
Healthcare Quality and Performance Monitoring
Reference Model
Developer
Reference
Information Model
Standards Development
Organization
Terminology
Author
57. June 2016 Page: 57 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Hi3 Solutions
3500 W. Olive Ave, Suite
300
Burbank, CA 91505
ww.hi3solutions.com +1 800 918-
6520
Healthcare Information Integration Infrastructure Solutions (Hi3 Solutions), is a
privately owned, Health Information Technology vendor, headquartered in Burbank,
California.
Hi3 Solutions, along with its affiliates, provides assistance to public health, healthcare,
and health research organizations attempting to utilize informatics standards to
overcome barriers to interoperability.
The mission of Hi3 Solutions is to assist healthcare organizations with leveraging their
information assets to discover and prosper from evidence-based best practices in
healthcare through proven information management methods, standards, and
techniques.
58. June 2016 Page: 58 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Hi3 Solutions Product Suite
Standards
Conformance
Validator
Healthcare
Information
Integrator
Healthcare
Quality
Monitor
59. June 2016 Page: 59 of 59Hi3 Solutions ~ Your healthcare standards conformance Partner
Thank You!
Peace...AMS
Abdul-Malik Shakir
President and Chief Informatics Scientist
Hi3 Solutions
3500 West Olive Ave, Suite # 300, Burbank, CA 91505
Skype: +1 9098334661 Mobile: (626) 644-4491
Email: abdulmalik.shakir@hi3Solutions.com