This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.

Slides:



Advertisements
Similar presentations
1 Sep 15Fall 05 Standards in Medical Informatics Standards Nomenclature Terminologies Vocabularies.
Advertisements

Controlled Terminology in Clinical Practice James J. Cimino, M.D. Department of Medical Informatics Columbia University.
Big Data Research for Transforming USA Healthcare – LOINC Possible Road Map Susan A. Matney, MSN, RN, FAAN1 Bonnie L. Westra, PhD, RN, FAAN, FACMI2 13M.
Open Health Tools Distributed Terminology System Presentation Jack Bowie SVP Sales and Marketing Apelon, Inc. 1.
The Role of the UMLS in Vocabulary Control CENDI Conference “Controlled Vocabulary and the Internet” Stuart J. Nelson, MD.
Overview of Biomedical Informatics Rakesh Nagarajan.
Lecture 5 Standardized Terminology and Language in Health Care (Chapter 15)
Minnesota Recommendation to Use of a Standard Nursing Terminology in All Health Care Settings Bonnie L. Associate Professor & Director Center for Nursing.
The Role of Standard Terminologies in Facilitating Integration James J. Cimino, M.D. Departments of Biomedical Informatics and Medicine Columbia University.
Evidenced-Based Practice Using Your Palm Pilot and Other Technology November 20, 2001 Suzanne Bakken, RN, DNSc, FAAN School of Nursing & Department of.
THEORIES, MODELS, AND FRAMEWORKS
DOCUMENTATION GUIDELINES FOR E/M SERVICES
Theories, Models and Frameworks
Terminology in Health Care and Public Health Settings
Terminology Standards 1/3 BDK06-5 Clinical Data Standards Related to Big Data William Hersh, MD Department of Medical Informatics & Clinical Epidemiology.
Introduction to Healthcare and Public Health in the US Delivering Healthcare (Part 2) Lecture a This material (Comp1_Unit3a) was developed by Oregon Health.
The Culture of Healthcare Healthcare Processes and Decision Making Lecture e This material (Comp2_Unit4e was developed by Oregon Health & Science University,
Unified Medical Language System® (UMLS®) NLM Presentation Theater MLA 2005 May 16 & 17, 2005 Rachel Kleinsorge.
Clinical Terminologies
1 st June 2006 St. George’s University of LondonSlide 1 Using UMLS to map from a Library to a Clinical Classification: Improving the Functionality of a.
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
More and Better Data for Research: U.S. Health Data Content Standards Betsy L. Humphreys Assistant Director for Health Services Research Information National.
Survey of Medical Informatics CS 493 – Fall 2004 September 27, 2004.
Controlled Medical Terminologies: What can they do for me? James J. Cimino, M.D. Department of Medical Informatics Columbia University.
Recent advances in the field of Family Medicine classifications ICPC into WHO-FIC J K Soler Wonca International Classification Committee.
Copyright © 2001 College of American Pathologists Sample Hierarchy for Tularemia Disorder Zoonotic bacterial disease Enteric tularemia Glandular tularemia.
Health IT Workforce Curriculum Version 1.0 Fall Networking and Health Information Exchange Unit 4c Basic Health Data Standards Component 9/Unit.
UMLS Unified Medical Language System. What is UMLS? A Unified knowledge representation system Project of NLM Large scale Distributed First launched in.
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
Andrew S. Kanter, MD MPH a,b a Millennium Villages Project, Earth Institute, Columbia University, New York, USA b Department of Biomedical Informatics,
Unit 5 Ch 6: Nomenclatures and Classification Systems Tuesday, April 5 th at 8PM EST HS Adrienne Palmer, BSPH, MHA, FACHE.
Component 3-Terminology in Healthcare and Public Health Settings Unit 17-Clinical Vocabularies This material was developed by The University of Alabama.
Sharing Ontologies in the Biomedical Domain Alexa T. McCray National Library of Medicine National Institutes of Health Department of Health & Human Services.
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
Unit 3.02 Understanding Health Informatics.  Health Informatics professionals treat technology as a tool that helps patients and healthcare professionals.
Terminology in Health Care and Public Health Settings Unit 14 What is Health Information Management and Technology?
This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information.
Component 2: The Culture of Health Care
This material was developed by Oregon Health & Science University, funded by the Department of Health and Human Services, Office of the National Coordinator.
SNOMED CT A Technologist’s Perspective Gaur Sunder Principal Technical Officer & Incharge, National Release Center VC&BA, C-DAC, Pune.
Informatics and Evidence-based Practice M8120 Fall 2001 Suzanne Bakken, RN, DNSc, FAAN School of Nursing & Department of Medical Informatics Columbia University.
Health IT Workforce Curriculum Version 1.0 Fall Networking and Health Information Exchange Unit 4a Basic Health Data Standards Component 9/Unit.
FROM ONE NOMENCLATURES TO ANOTHER… Drs. Sven Van Laere.
JUNLI M. AWIT, RN MSN-MSN Developing Standardized Terminologies in Nursing Informatics.
Methods We employ the UMLS Metathesaurus to annotate ICD-9 codes to MedDRA preferred terms (PTs) using the three-step process below. The mapping was applied.
Mapping International Classification for Nursing Practice (ICNP) and SNOMED CT Submitted by the ICNP Programme Team to IHTSDO Nursing Special Interest.
Fundamentals of Health Workflow Process Analysis and Redesign Process Analysis Lecture a This material Comp10_Unit5a was developed by Duke University,
Health Informatics Health Informatics professionals treat technology as a tool that helps patients and healthcare professionals Understand health.
Terminology in Healthcare and Public Health Settings Standards to Promote Health Information Exchange This material Comp3_Unit 16 was developed by The.
Developing Standardize d Terminologie s in Nursing Informatics Jessah Mae G. Alicaway, R.N.
Copyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. McGraw-Hill/Irwin Chapter 2 Clinical Information Standards – Unit 3 seminar Electronic.
Introduction to Health Informatics Leon Geffen MBChB MCFP(SA)
Enhancing interoperation: an i2b2 ETL schema for Epic EHRs
3.02 Understand Health Informatics
3.02 Understand Health Informatics
Networking and Health Information Exchange
Functional EHR Systems
UNIFIED MEDICAL LANGUAGE SYSTEMS (UMLS)
Enhancing interoperation: an i2b2 ETL schema for Epic EHRs
3.02 Understand Health Informatics
Networking and Health Information Exchange
3.02 Understand Health Informatics
3.02 Understand Health Informatics
3.02 Understand Health Informatics
کدگذاری و دسته بندی داده ها، مدارک بیمار
Introduction to Coding & Reimbursement
3.02 Understand Health Informatics
3.02 Understand Health Informatics
3.02 Understand Health Informatics
3.02 Understand Health Informatics
Presentation transcript:

This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number IU24OC Component 9 - Networking and Health Information Exchange Unit 4-3 Basic Health Data Standards

Unit 4-3 Objectives Understand the use, purpose and interrelation among sets of controlled vocabularies in use today Identify the more common controlled vocabularies in use today: SNOMED, MEDCIN, MedDRA, Nursing terminologies, MeSH and UMLS Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Evolution of SNOMED Systematized Nomenclature of Diseases and Organisms (SNDO) NY Academy of Medicine Systematized Nomenclature of Pathology (SNOP) Systematized Nomenclature of Medicine (SNOMED) SNOMED-RT (Reference Terminology)(1999) SNOMED-CT (Merger with Read)(2002) International Healthcare Terminology SDO (2007) Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

SNOMED-CT Created by the merger, expansion and restructuring of SNOMED-RT and Read Codes 344,000 concepts, 450,000 medical descriptions, 700,000 concept interrelations Cross maps to ICD9-CM, ICD-10, LOINC Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

SNOMED-CT Components Concepts Descriptions Hierarchies Relationships Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Example Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring |Burn of skin|: |Severity|= |severe |Finding Site|= ( |Structure of skin between fourth and fifth toes|: |Laterality|= |left) Such expressions are said to be post-coordinated as contrasted to pre-coordinated terms.

Semantic Representation in SNOMED-CT Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring is-a Bacterial Pneumonia Tularemia Pulmonary Tularemia has-causative-agent Francisella tularensis Lung Structure has-finding-site Inflammation associated- morphology

SNOMED Axes Findings [F] Procedures [P] Body structures (anatomy) [T] Morphology [M] Organisms [L] Substances [C] Physical agents [A] Occupations Social context General Other Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Terminology Model Ruptured ovarian cyst (D ) –Is a disease (D ) –Has morphology rupture (M-14400) –Has morphology cyst (M-33400) –Has topography ovary (T-87000) Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring Example is SNOMED – RT.

MEDCIN System of standardized medical terminology developed by Medicomp Systems Includes over 250,000 clinical data elements encompassing symptoms, history, physical exam, tests, diagnoses and therapy Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

International Classification for Primary Care (ICPC) Used by individual family practices and group practices Use is to record primary care patient encounter –Includes reason for encounter (chief complaint) –Focuses on patient perspective Includes fear of disease Request for preventive services Request for treatment Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Medical Dictionary for Regulatory Activities (MedDRA) International medical terminology used by regulatory authorities and regulated biopharmaceutical industry Terminology for coding all medical data obtained during all phrases of development and marketing: –Symptoms –Signs –Disease –Diagnoses –Indications –Investigations/Procedures –Medical/Social History Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

MedDRA codes Unique 8 digit number, starting with As terms added, codes assigned sequentially Example –Gastric hemorrhage (LLT) = –Gastric haemorrhage (LLT) = –Gastrointestinal disorders (SOC) = Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Nursing Terminologies NANDA Taxonomy Clinical Care Classification Patient Care Data Set Omaha System AORN Perioperative Data Set International Classification of Nursing Practice Nursing Interventions Classification Nursing Outcomes Classification Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Coding Nursing Concepts Diagnoses/Judgements Interventions Outcomes Goals Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Nursing Terminologies Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring NANDA NIC NOC CCC PCDS Omaha AORN ICNP X X X X X X X X X X X X X X X X X X X DiagnosesInterventionsOutcomesGoals

Medical Subject Headings (MeSH) Used to tag medical abstracts with concept-based information Created to improve information retrieval Introduces the notion of “context” for the same concept Free for use in the US and in most countries Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

MeSH Example D011014: Pneumonia D018410: Pneumonia, Bacterial D007877: Legionnaires' Disease D011018: Pneumonia, Pneumococcal D011019: Pneumonia, Mycoplasma D009175: Mycoplasma Infections D011002: Pleuropneumonia, Contagious D011022: Pneumonia, Rickettsial D011023: Pneumonia, Staphylococcal D001996: Bronchopneumonia D009956: Ornithosis D011001: Pleuropneumonia D011015: Pneumonia, Aspiration D011017: Pneumonia, Lipid D011020: Pneumonia, Pneumocystis carinii D011024: Pneumonia, Viral Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Unified Medical Language System "The purpose of the [Unified Medical Language System] is to improve the ability of computer programs to 'understand' the biomedical meaning in user inquiries and to use this understanding to retrieve and integrate relevant machine-readable information for users." - Donald A.B. Lindberg, 1993 Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

UMLS Structure Three main components: –Metathesaurus –Semantic Network –Specialist Lexicon and tools Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Choice of terminologies Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring ICD$ CPT$ DRG NDC RxNorm LOINC Nursing SNOMED MeSH UMLS HPI PMH Exam Labs Diag Dx Rx Tx HPI: History of present illness PMH: Past medical history Exam-Physical exam Labs-Clinical lab Diag: Other tests Dx: Diagnoses Rx: Medications Tx: Other therapy Coverage: + minimal, ++ partial, +++ extensive

Current Situation SNOMED-CT is gaining momentum as the terminology of choice LOINC is used in the US for laboratory test names RxNorm is likely to be drug code of choice in US ICD x is required for reimbursement Adverse events – maybe MedDRA Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring

Summary Component 9/Unit 4-3Health IT Workforce Curriculum Version 2.0/Spring The complex problems caused by use of local terminologies and too many controlled terminologies continues to be an obstacle to interoperability. Until this problem is solved, the sharing and aggregation of data among disparate sites will result in a loss of information and prone to error.