FDA Data Management Council

Slides:



Advertisements
Similar presentations
GSA Office of Intergovernmental Solutions Fostering a Collaborative Environment with Federal, State, Local and International Governments The Health IT.
Advertisements

1 Sep 15Fall 05 Standards in Medical Informatics Standards Nomenclature Terminologies Vocabularies.
United States Health Information Knowledgebase (USHIK) A Data Registry Project 18 January 2000.
United States Health Information Knowledgebase (USHIK) Metadata Registry Project Glenn M. Sperle Health Care Financing Administration May.
1 Consolidated Health Informatics “CHI” HIPAA Summit March 9, 2004.
LEVERAGING THE ENTERPRISE INFORMATION ENVIRONMENT Louise Edmonds Senior Manager Information Management ACT Health.
Development Principles PHIN advances the use of standard vocabularies by working with Standards Development Organizations to ensure that public health.
FHIM Overview How the FHIM can organize other information modeling efforts.
Procedures to Develop and Register Data Elements in Support of Data Standardization September 2000.
Future of MDR - ISO/IEC Metadata Registries (MDR) Larry Fitzwater, SC 32 WG 2 Convener Computer Scientist U.S. Environmental Protection Agency May.
Initial slides for Layered Service Architecture
Common Data Elements and Metadata: Their Roles in Integrating Public Health Surveillance and Information Systems Ron Fichtner, Chief, Prevention Informatics.
DRAFT FOR COMMITTEE DISCUSSION ONLY 1 Inventory of Standards Inventories Brief Progress Report By HITSP Inventory of Standards Inventories Committee February.
1 Federal Health IT Ontology Project (HITOP) Group The Vision Toward Testing Ontology Tools in High Priority Health IT Applications October 5, 2005.
National Interoperability Standards and USHIK Public Health Data Consortium’s 2009 Annual Meeting J. Michael Fitzmaurice, Ph.D. Agency for Healthcare Research.
United States Health Information Knowledgebase (USHIK) A Data Registry Project 17 February 1999 Open Forum on METADATA REGISTRIES.
1 Health Level Seven (HL7) Report Out Population Science and Structured Documents Workgroup (SDWG) Riki Ohira September 22, 2011.
SDMX Standards Relationships to ISO/IEC 11179/CMR Arofan Gregory Chris Nelson Joint UNECE/Eurostat/OECD workshop on statistical metadata (METIS): Geneva.
Metadata Registries Workshop April 15, 1998 Slide 1 of 20 ANSI X Douglas D. Mann Stewardship Naming & Identification Classification.
Chapter 2 Standards for Electronic Health Records McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved.
The Final Study Period Report on MFI 6: Model registration procedure SC32WG2 Meeting, Sydney May 26, 2008 H. Horiuchi, Keqing He, Doo-Kwon Baik SC32WG2.
The United States Health Information Knowledgebase: Federal/State Initiatives An AHRQ Research Project J. Michael Fitzmaurice, PhD, AHRQ Robin Barnes,
DICOM and ISO/TC215 Hidenori Shinoda Charles Parisot.
1 Consolidated Health Informatics Public Health Data Standards Consortium March 17, 2004.
United States Health Information Knowledgebase Meeting the Challenge of Health Care Information Integration May 16, 2007 Laura Reece, Ph.D.
Enterprise Architecture, Enterprise Data Management, and Data Standardization Efforts at the U.S. Department of Education May 2006 Joe Rose, Chief Architect.
Public Health Data Standards Consortium
9 th Open Forum on Metadata Registries Harmonization of Terminology, Ontology and Metadata 20th – 22nd March, 2006, Kobe Japan. Presentation Title: Day:
FEA DRM Management Strategy Presented by : Mary McCaffery, US EPA.
Networking and Health Information Exchange Unit 5b Health Data Interchange Standards.
AHRQ-USHIK: Best Practices & Lessons Learned HIT Standards Committee Vocabulary Task Force J. Michael Fitzmaurice Agency for Healthcare Research and Quality.
Overview of SC 32/WG 2 Standards Projects Supporting Semantics Management Open Forum 2005 on Metadata Registries 14:45 to 15:30 13 April 2005 Larry Fitzwater.
October 7, 2009 SOCIAL SECURITY ADMINISTRATION-HIT SUPPORT Health IT Provider Registry IHE Proposal Overview Proposed Editor: Shanks Kande, Marty Prahl.
Tutorial on XML Tag and Schema Registration in an ISO/IEC Metadata Registry Open Forum 2003 on Metadata Registries Tuesday, January 21, 2003; 4:45-5:30.
SDMX IT Tools Introduction
USHIK: Data Standardization to Support Public Health Services Public Health Data Consortium’s 2012 Annual Meeting J. Michael Fitzmaurice, Ph.D. Agency.
Data Registry to support HIPAA standards The Health Insurance Portability and Accountability Act of 1996 Title II - Subtitle F Administrative Simplification.
FDA Standards Development and Implementation Randy Levin, M.D. Director, Office of Information Management Center for Drug Evaluation and Research Food.
Providing web services to mobile users: The architecture design of an m-service portal Minder Chen - Dongsong Zhang - Lina Zhou Presented by: Juan M. Cubillos.
Statistical Data and Metadata Exchange SDMX Metadata Common Vocabulary Status of project and issues ( ) Marco Pellegrino Eurostat
IPDA Architecture Project International Planetary Data Alliance IPDA Architecture Project Report.
NAACCR Interoperability Activities Lori A. Havener, CTR Program Manager of Standards.
International Planetary Data Alliance Registry Project Update September 16, 2011.
Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. McGraw-Hill/Irwin Chapter 2 Clinical Information Standards – Unit 3 seminar Electronic.
United States Health Information Knowledgebase: An Online Metadata Registry J. Michael Fitzmaurice Agency for Healthcare Research and Quality ANSI HITSP.
AHRQ’s US Health Information Knowledgebase Health Information Technology Standards Panel J. Michael Fitzmaurice, Ph.D. Agency for Healthcare Research and.
© 2016 Chapter 6 Data Management Health Information Management Technology: An Applied Approach.
Metadata models to support the statistical cycle: IMDB
J. Michael Fitzmaurice Agency for Healthcare Research and Quality
Introduction To DBMS.
Implementing the Surface Transportation Domain
Component 11 Configuring EHRs
Public Health Laboratory Data (PH-Lab) Exchange Project: Overview
Federal Health IT Ontology Project (HITOP) Group
Introduction DoDAF 2.0 Meta Model (DM2) TBS dd mon 2009 VERSION 15
Unit 5 Systems Integration and Interoperability
Inventory of Standards Inventories
Networking and Health Information Exchange
Electronic Health Information Systems
Health Ingenuity Exchange - HingX
Metadata in the modernization of statistical production at Statistics Canada Carmen Greenough June 2, 2014.
2. An overview of SDMX (What is SDMX? Part I)
CMS’ Approach to E-Health Connectivity
Carolina Mendoza-Puccini, MD
SDMX Information Model: An Introduction
HingX Project Overview
Standards Harmonization Readiness Criteria
Enforcement and Policy Challenges in Health Information Privacy
, editor October 8, 2011 DRAFT-D
Presentation transcript:

FDA Data Management Council May 16, 2007 United States Health Information Knowledgebase Meeting the Challenge of Health Care Information Integration Laura Reece, Ph.D. FDA Data Management Council May 16, 2007

What is national health information? National health information is information that either is national in coverage or has national relevance and relates to: the health of the population the determinants of the population’s health, including external factors and those internal to individuals health programs or health services, covering information on the nature of the services provided and their management, resourcing, accessibility, use and effectiveness the relationships among these elements

Why is it needed? To enable informed decision making To guide consumers’ decisions To provide needed information about the needs of the populations, the effectiveness of their interventions and for whom, and the acceptability of these interventions To compare the effectiveness and efficiency of healthcare To make decisions in health industry and governments need information about how to provide services equitably, efficiently and effectively

Introduction Background Standards Capabilities & Value Accomplishments Content Introduction Background Standards Capabilities & Value Accomplishments Questions How describing data using common characteristics promotes ease of comparison and interchange, How the ISO/IEC 11179 metamodel is used to both separate and share metadata between organizations, and How independently-developed registries can be semantically consistent when based on a common standard.

Introduction USHIK Goals: To provide and maintain a metadata registry of health information data element definitions, values, and information models which will enable browsing, comparison, synchronization, and harmonization within a uniform query and interface environment. Build, populate, demonstrate, and make available for general use a data registry to assist in cataloging and harmonizing data elements across multiple organizations. First version of USHIK—one of the first—clean uncluttered look and integrated functionality. Based on the AIHW Australian Knowledgebase.

Facilitate comparison and crosswalk with existing standards and development of new metrics

Background Nearly a decade in existence Collaborative effort from a changing mix of federal organizations Based on earlier implementations Based on national and international standard

USHIK Registry Contents ANSI HL7 2.4, 2.5 ANSI X12N ANSI ASTM NCPDP SCRIPT, Batch, Data Dictionary American Dental Association Specif. 2000 HIPAA MHS Functional Area Model (FAM-A) Public Health Care Data Standards   IEEE: Medical Device Communications Industry Group (IEEE 1073) NCVHS Clinical Care Classification (Nursing Taxonomy) DICOM (Imaging)

ISO/IEC 11179 a standardized way of describing information. The USHIK is an Implementation of ISO/IEC 11179 – Information technology--Metadata registries (MDR) ISO/IEC 11179 a standardized way of describing information. Data Elements and their component parts Relationships among Data Elements Includes both Conceptual and Logical (Representational) level objects USHIK as implementation of standard Not all features of standard implemented – chose what was most important and applicable Some structures added not in standard – extensions encouraged and do not invalidate “standardness”

ISO/IEC 11179 Data Element (DE) Standard Attributes & Relationships Important for Semantic Understanding Preferred Name/Context/Language Alternative Names/Context/Language Preferred Definition/Context/Language Alternative Definitions/Context/Language Example Related Data Elements Derived and Composite Data Elements Registration Information Registration Authority, Registrar Unique Registration ID Reg. Authority, Data ID, Version ID Registration Status Submitter Org, Submitter Assigned Steward Administrative Status and Notes Data Element Concept Conceptual Domain Classification Scheme Related Documents and URLs Value Domain Data Type Min/Max Length Low/High Value Format Unit of Measure Precision Valid Values –Value Meanings Features of registry shown through attributes which describe data in a standardized way We hear a lot about “Semantic Interoperability”. This slide illustrates some of the features of USHIK that are important for improving semantic understanding, data exchange, and data governance. Important for Data Interoperability Important for Data Governance

ISO/IEC 11179 Core Meta-Model Object Class Property Data Element Concept Conceptual Domain Perception 4 corners – major AI’s in USHIK Others – minor AI’s in USHIK Representation Data Element Value Domain Represen- tation

ISO/IEC 11179 Core Meta-Model Object Class Property Person Sex 1..1 1..1 0..* 0..* Data Element Concept Conceptual Domain Sexes Male Female Other 0..* 1..1 Person.Sex Hypothetical Example 1..1 Perception 1..1 Representation Sex_Code (Census) 01 – Male 02 - Female 0..* 0..* Gender_Code (HHS) M - Male F – Female O - Other Person.Sex:Code Data Element Value Domain Person.Gender:Code 1..1 Gender_Type (NIH) XY - Male XX – Female XXY – Underdeveloped Male XYY – Overdeveloped Male X – Underdeveloped Female 0..* Person.Gender:Type

ISO/IEC 11179 a standardized way of describing information. The USHIK is an Implementation of ISO/IEC 11179 – Information technology--Metadata registries (MDR) ISO/IEC 11179 a standardized way of describing information. Data Elements and their component parts Relationships among Data Elements Includes both Conceptual and Logical (Representational) level objects

Capabilities Data elements are described in common format High Level Information Model Assists in Grouping Data Elements Data Elements are Linked to Model Views Data Elements Linked by Different Organizations Appear Together Uniform, objective comparison across multiple standards Comparison Matrix Aids in Harmonizing Data Elements Data Element Usage Shows Linkages Between Data Elements

New Capabilities Related Data References shows relationships among data elements Links to external sources for immediate reference and viewing “native” format Pre-built downloadable query results updated regularly Examples illustrating data element usage provided by the SDOs (in process)

Data Registry Overview Methods of Finding Data Elements References to Authoritative Sources A data registry is a place to keep facts about characteristics of data that are necessary to clearly describe, inventory, analyze, and classify data. A data registry supports data sharing with cross-system and cross-organization descriptions of common units of data. A data registry assists users of shared data to have a common understanding of a unit of data’s meaning, representation, and identification. Data Elements NCPDP (National Council for Prescription Drug Program) ABCDEFGH.. Initiatives Data Element Identifying and Definitional Attributes: Data Element ID : 07-329-4837.00000692.v1 Name : Gender Code Context : X12 Data Dictionary Definition : Code indicating the sex of the individual Status : Received as of 01/19/1999 Example : Synonyms/Keywords : Comment : Data Collection Methods : Relational and Representational Attributes: Data Type : ID Representational Form : Representational Layout : Minimum Size : 1 Maximum Size : 1 Unit Of Measure : Precision : Minimum Range : Maximum Range : Data Domain: Permissible value Domain Meaning Name Domain Meaning Definition Text A Not Provided B Not Applicable F Female M Male N Non-sexed U Unknown X Unsexable Related Data References: Object Relationship Related Item Type Gender Code is composite part of X12 Data Dictionary Standards Alternate Names and Contexts: Name Context Gender Code X12 Data Dictionary 1068 X12 Data Element Number X12 (American Standards Committee) Health Insurance Portability and Accountability Act... Transaction Set -Data Element -Composite Data Element Data Collections … Birth Date Hair Color Eye Color Sex ... … Person_Sex Gender Sex_Category Code ... HCFA Long Term Care BRFSS HL7 (Health Level Seven) Reference Information Model -Subject Area -Class -Attributes Data Agreements X12 NCVHS Core Data NCPDP What data elements are used? Where are data elements defined? AIHW (Australian Institute of Health and Welfare) Medical Banking Architecture & Technology Project Medical Banbking Information Sharing and Analysis Center (MBISAC). Organizations Model -Model Subtype -Information Model Subtype -Data Element -Data Concept -Composite Data Element -Derived Data CDC AHCPR NCVHS Models HL7-RIM DoD HA FAM-D AIHW Data elements are described in common format. Codes can be downloaded for use in applications.

Accomplishments HIPAA – The Health Insurance Portability and Accountability Act CHI – Consolidated Health Informatics HITSP - Healthcare Information Technology Standards Panel Shortened version of previous slide

Initiatives HIPAA – The Health Insurance Portability and Accountability Act Title II of HIPAA requires the establishment of national standards for electronic health care transactions and national identifiers for providers, health insurance plans, and employers. CHI – Consolidated Health Informatics Adopts a portfolio of existing health information interoperability standards (health vocabulary and messaging) enabling all agencies in the federal health enterprise to “speak the same language” based on common enterprise-wide business and information technology architectures. HITSP - Healthcare Information Technology Standards Panel - The mission is to serve as a cooperative partnership between the public and private sectors for the purpose of achieving a widely accepted and useful set of standards specifically to enable and support widespread interoperability among healthcare software applications, as they will interact in a local, regional and national health information network for the United States.

Value Government programs can use this tool: To compare their data elements with those in USHIK for harmonization To develop data elements for new programs based on those in USHIK, and To stay current with standards developing organizations (SDO’s) changes in their standards To aid in harmonization among States & Territories Certification authorities can use this tool: To verify that data elements in a given EHR system are interoperable with the data elements in: A specific interoperability criterion, A specified data standard, or Another specific system

USHIK Strategic Federal & Business Use Contributes to President’s eGov initiative support (Consolidated Health Informatics initiative-CHI) Value to Health Information Technology Standards Panel (HITSP) Using USHIK in each HITSP lifecycle Phase 1: Gap Analysis & Standards Selection Phase 2: Standard Specificity Phase 3: Interoperability Specifications Clinger-Cohen Act mandates facilitation of eGovernment – Citizen business relationships USHIK is a focal point to publish federally designated health standards, data elements and definitions (metadata) online

USHIK use by HITSP Technical Committees www.ushik.org USHIK use by HITSP Technical Committees To support a mapping analysis E.g., do two standards have the same demographic variables and representations To support the gap analysis after the standards have been selected by the Technical Committee For comparing the required data elements of the use case with what the chosen standard contains To objectify the standards selection process by providing a neutral, identical presentation of the candidate standards To support giving feedback to the SDOs for improving a standard to fit the needs of the use case Ask the SDO if some specific changes are possible to improve interoperability (cross-organizational, cross-system data sharing) Publish choices and document for long-term maintenance

Viewpoint for the implementation of HITSP and ANSI Technical Committee use case Focal point to examine Technical Committee standards, data model relationships Uniform environment to compare, synchronize, harmonize standards overlaps – gaps

How AHRQ and CMS Support HITSP By providing a USHIK health information specialist assigned to the Technical Committee for one use case To learn the standards selection process of the HITSP TC To provide expertise at using USHIK to answer TC questions To provide expertise at using USHIK to present comparisons across standards requested by the TC To display choices made by the TC in a standard metadata registry format

How AHRQ and CMS Support HITSP (cont.) By providing a potential method for comparing the standards choices made by a HITSP TC with those choices made by another HITSP TC By providing an opportunity for helping HITSP to streamline the processes of standards screening, selection, and gap analysis

Comparison Matrix Aids in Harmonizing Data Elements www.USHIK.org

Summary USHIK Is a Well-advanced Metadata Registry for Healthcare Information Standards Provides Opportunity to “manage” a myriad of Standards Data Elements Offers a Platform from which to closely examine Relationships, Overlaps, Gaps Forms a Navigable Platform for Browsing and Viewing Has demonstrated utility for integrating and harmonizing healthcare information standards Built to an internationally-recognized standard

Demonstration Model-based navigation Comparison matrix tool Linkage to SDO sites Show model-drill-down Comparison matrix AND a new tack—linking USHIK copies of elements to SDOs live sites in order to view a. more information USHIK not trying to replace the SDOs. b. “native” format of the SDO more familiar has more information

Contacts for www.USHIK.org Michael Fitzmaurice, PhD, AHRQ Michael.Fitzmaurice@ahrq.hhs.gov Senior Science Advisor for Information Technology Office of the Director, Agency for Healthcare Research and Quality Laura J. Reece, Ph.D. ljreece@knowsol.com 29

Discussion

Links to external sites by individual element

Links to parent generic element on WPC site

Related Data References example

Administration screen

Relationships to other models, agreements, collections, initiatives

Role-based Access

Secure Administrative Interface

Easy editing interface