Common Semantic Strategy for Health in the European Union WP8 Integration in National Policies and Sustainability Draft

Total Page:16

File Type:pdf, Size:1020Kb

Common Semantic Strategy for Health in the European Union WP8 Integration in National Policies and Sustainability Draft D8.2.2 Common Semantic Strategy for Health in the European Union WP8 Integration in National Policies and Sustainability Draft Revision 1.4, 10-05-2019 15th eHN meeting, June 2019 For Discussion Grant Agreement nº 801558 D8.2.2 Common Semantic Strategy WP8 Integration in National Policies and Sustainability Draft for Discussion Revision 1.4, 10-05-2019 CONTROL PAGE OF DOCUMENT Document name CSS for Health in the EU – Information paper for eHN Status Draft Author(s) Country Organisation Name Austria Sozial Ministerium Peter Brosch Croatia HZZO Vesna Kronstein Kufrin Czech Republic MoH Czech Republic Hynek Kruzik Estonia HWISC Kerli Linna Finland THL Mikko Härkönen Germany DIMDI Stefanie Weber Hungary AEEK Gergely Heja Eamon Coyne; Ireland HSE Theresa Barry Lithuania LMB Martynas Bieliauskas Netherlands NICTIZ Pim Volkert Norway EHELSE Jostein Vein MoH Poland Hubert Zycinski; Poland CZIOZ Ania Ostrowicka Henrique Martins; Diogo Martins; Jurgen Wehnert; Lilia Marques; Cristiana Antunes; Filipa Rasquinho; Portugal SPMS Daniela Costa; Filipe Mealha; Joana Cunha; Carla Pereira; Anabela Santos; Anderson do Carmo Slovenia NIJZ Lucija Tepej-Jocic Arturo Romero Gutiérrez; Spain MoH Spain Miguel Pedrera Jiménez Sweden Socialstyrelsen Daniel Karlsson 2/31 eHAction – Joint Action supporting the eHealth Network - www.ehaction.eu D8.2.2 Common Semantic Strategy WP8 Integration in National Policies and Sustainability Draft for Discussion Revision 1.4, 10-05-2019 REVISION HISTORY Revision Date Author Description Daniel Karlsson; Stefanie Weber; Mikko Härkönen; Vesna Kronstein Kufrin; Hynek st 0.1 11/02/2019 Kruzik; Hubert Zycinski; Kerli Linna 1 draft document Input of new content. 0.2 25/02/2019 Carla Pereira; Daniela Costa; Lucija Tepej-jocic Comments on the Document 0.3 05/03/2019 Arturo Romero; Jurgen Wehnert Comments on the Document Peter Brosch; Hynek Kruzik;Daniel Karlsson; Input of new content. 0.4 11/03/2019 Hynek Kruzik; Comments on the Document Henrique Martins; Anderson Carmo; Jürgen Comments on the Document 0.5 13/03/2019 Wehnert; Lilia Marques; Arturo Romero Input of new content. Gutiérrez; Miguel Pedrera Jiménez Comments on the CSS text and improvements on Daniel Karlsson; Kerli Linna; Martynas the content. 0.6 15/03/2019 Bieliauskas; Peter Brosch; Vesna Kronstein Inputs for the 3.2.4 section Editions on 3.2.1 section. Hynek Kruzik; Kerli Linna; Härkönen Mikko; Stefanie Weber; Gergely HÉJA; Pim Volkert; Ania Ostrowicka; Henrique Martins; Changes on the document structure based on the Carla Pereira; Anabela Santos; Filipe Mealha; 0.7 20/03/2019 discussion on the 2nd Workshop on CSS. (18th & Filipa Rasquinho; Daniela Costa; Joana Cunha; 19th Mar. 2019 - Lisbon) Lilia Marques; Jurgen Wehnert; Anderson Carmo; Lucija Tepej-jocic; Arturo Romero; Daniel Karlsson First revision/improvement on the document after 0.8 29/03/2019 All authors the 2nd WS on CSS. 0.9 05/04/2019 All authors Final revision/improvement on the document. 1.0 08/04/2019 All Authors Final version of CSS document. 1.1 12/04/2019 Henrique Martins; Diogo Martins Final considerations & review 1.2 28/04/2019 Vivian Brincat; Hugo Agius Muscat First Quality Management review Adjustments to scope and governance following Henrique Martins; Anderson Carmo; Daniela sub-group meeting in Brussels on 6th may on Joint 1.3 8/05/2019 Costa; Filipa Rasquinho; Lilia Marques Coordination Framework. Update according QM review. 1.4 10/05/2019 Vivian Brincat; Hugo Agius Muscat QM review Disclaimer The content of this information note represents the views of the author only and is his/her sole responsibility; it cannot be considered to reflect the views of the European Commission and/or the Consumers, Health, Agriculture and Food Executive Agency or any other body of the European Union. The European Commission and the Agency do not accept any responsibility for use of its contents. 3/31 eHAction – Joint Action supporting the eHealth Network - www.ehaction.eu D8.2.2 Common Semantic Strategy WP8 Integration in National Policies and Sustainability Draft for Discussion Revision 1.4, 10-05-2019 Table of Contents Acronyms ................................................................................................................. 6 Executive summary ................................................................................................... 7 1. Introduction ....................................................................................................... 8 1.1. Background ............................................................................................................................ 8 1.2. Current context ...................................................................................................................... 9 1.3. Description of the challenge ................................................................................................ 10 2. Mission and Vision ............................................................................................ 11 2.1. Mission ................................................................................................................................. 11 2.2. Vision .................................................................................................................................... 11 3. Goals ................................................................................................................ 11 4. Value Proposition ............................................................................................. 13 4.1. Patient Summary – Use case ................................................................................................ 13 4.1.1. Known used standards .......................................................................................................................... 14 4.1.2. Semantic constraints and challenges .................................................................................................... 14 4.2. ePrescription/eDispensation – Use case.............................................................................. 14 4.2.1. Known used standards .......................................................................................................................... 15 4.2.2. Semantic constraints and challenges .................................................................................................... 15 4.3. Laboratory Requests and Results – Use case ....................................................................... 15 4.3.1. Known used standards .......................................................................................................................... 16 4.3.2. Semantic constraints and challenges .................................................................................................... 16 4.4. Medical Imaging and Reports – Use case ............................................................................ 17 4.4.1. Known used standards .......................................................................................................................... 17 4.4.2. Semantic constraints and challenges .................................................................................................... 17 4.5. Hospital Discharge Reports – Use case ................................................................................ 17 4.5.1. Known used standards .......................................................................................................................... 18 4.5.2. Semantic constraints and challenges .................................................................................................... 18 5. Semantic Strategy ............................................................................................. 18 5.1. Semantic Components ......................................................................................................... 19 5.1.1. Processes .............................................................................................................................................. 19 5.1.2. Information ........................................................................................................................................... 20 5.1.3. Services ................................................................................................................................................. 22 5.1.4. Technology ............................................................................................................................................ 22 6. Policy and Governance Structure description .................................................... 23 6.1. Guiding Principles ................................................................................................................. 23 6.2. Need for a Common Semantic Strategic Committee ........................................................... 23 6.2.1. Roles and Responsibilities ..................................................................................................................... 24 6.2.2. CSS Committee Governance Structure ................................................................................................. 24 6.2.3. Temporary sub-groups .......................................................................................................................... 26 6.2.4. Transparency ........................................................................................................................................ 26 6.3. Stewardship .........................................................................................................................
Recommended publications
  • A Method for Constructing a New Extensible Nomenclature for Clinical Coding Practices in Sub-Saharan Africa
    MEDINFO 2017: Precision Healthcare through Informatics 965 A.V. Gundlapalli et al. (Eds.) © 2017 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/978-1-61499-830-3-965 A Method for Constructing a New Extensible Nomenclature for Clinical Coding Practices in Sub-Saharan Africa Sven Van Laere, Marc Nyssen, Frank Verbeke Department of Public Health (GEWE), Research Group of Biostatistics and Medical Informatics (BISI), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium Abstract The word nomenclature has to be used with care in the context Clinical coding is a requirement to provide valuable data for of sub-Saharan Africa. By the word “nomenclature”, usually billing, epidemiology and health care resource allocation. In they understand: “a coding system to provide codes that are sub-Saharan Africa, we observe a growing awareness of the used in invoices, to specify the health services that were pro- need for coding of clinical data, not only in health insurances, vided for particular patients”. We define nomenclature in a but also in governments and the hospitals. Presently, coding broader way, also taking into account the clinical definition of systems in sub-Saharan Africa are often used for billing pur- health services. poses. In this paper we consider the use of a nomenclature to In this paper we will present a way to build this new nomen- also have a clinical impact.
    [Show full text]
  • Description of Alternative Approaches to Measure and Place a Value on Hospital Products in Seven Oecd Countries
    OECD Health Working Papers No. 56 Description of Alternative Approaches to Measure Luca Lorenzoni, and Place a Value Mark Pearson on Hospital Products in Seven OECD Countries https://dx.doi.org/10.1787/5kgdt91bpq24-en Unclassified DELSA/HEA/WD/HWP(2011)2 Organisation de Coopération et de Développement Économiques Organisation for Economic Co-operation and Development 14-Apr-2011 ___________________________________________________________________________________________ _____________ English text only DIRECTORATE FOR EMPLOYMENT, LABOUR AND SOCIAL AFFAIRS HEALTH COMMITTEE Unclassified DELSA/HEA/WD/HWP(2011)2 Health Working Papers OECD HEALTH WORKING PAPERS NO. 56 DESCRIPTION OF ALTERNATIVE APPROACHES TO MEASURE AND PLACE A VALUE ON HOSPITAL PRODUCTS IN SEVEN OECD COUNTRIES Luca Lorenzoni and Mark Pearson JEL Classification: H51, I12, and I19 English text only JT03300281 Document complet disponible sur OLIS dans son format d'origine Complete document available on OLIS in its original format DELSA/HEA/WD/HWP(2011)2 DIRECTORATE FOR EMPLOYMENT, LABOUR AND SOCIAL AFFAIRS www.oecd.org/els OECD HEALTH WORKING PAPERS http://www.oecd.org/els/health/workingpapers This series is designed to make available to a wider readership health studies prepared for use within the OECD. Authorship is usually collective, but principal writers are named. The papers are generally available only in their original language – English or French – with a summary in the other. Comment on the series is welcome, and should be sent to the Directorate for Employment, Labour and Social Affairs, 2, rue André-Pascal, 75775 PARIS CEDEX 16, France. The opinions expressed and arguments employed here are the responsibility of the author(s) and do not necessarily reflect those of the OECD.
    [Show full text]
  • Healthcare Terminologies and Classifications
    Healthcare Terminologies and Classifications: An Action Agenda for the United States American Medical Informatics Association and American Health Information Management Association Terminology and Classification Policy Task Force Acknowledgements AHIMA and AMIA Terminology and Classification Policy Task Force Members Keith E. Campbell, MD, PhD The American Health Chair, AHIMA and AMIA Terminologies and Classifications Policy Task Force Information Management Chief Technology Officer, Informatics, Inc., and Assistant Clinical Professor; Association (AHIMA) is the Department of Medical Informatics and Clinical Epidemiology, Oregon Health and premier association of health Science University information management Suzanne Bakken, RN, DNSc, FAAN (HIM) professionals. AHIMA’s Alumni Professor of Nursing and Professor of Biomedical Informatics School of 51,000 members are dedicated to Nursing and Department of Medical Informatics, Columbia University the effective management of personal health information Sue Bowman, RHIA, CCS needed to deliver quality Director of Coding Policy and Compliance, American Health Information healthcare to the public. Management Association Founded in 1928 to improve the quality of medical records, Christopher Chute, MD, PhD AHIMA is committed to Professor and Chair of Biomedical Informatics, Mayo Foundation advancing the HIM profession in an increasingly electronic and Don Detmer, MD, MA President and Chief Executive Officer, American Medical Informatics Association global environment through leadership in advocacy, Jennifer Hornung Garvin, PhD, RHIA, CPHQ, CCS, CTR, FAHIMA education, certification, and Medical Informatics Postdoctoral Fellow Center for Health Equity Research and lifelong learning. To learn more, Promotion, Philadelphia Veterans Administration Medical Center go to www.ahima.org. Kathy Giannangelo, MA, RHIA, CCS, CPHIMS Director, Practice Leadership, AHIMA Gail Graham, RHIA The American Medical Director, Health Data and Informatics Department of Veterans Affairs Informatics Association (AMIA) Stanley M.
    [Show full text]
  • Health & Coding Terminological Systems
    Health & Coding Terminological Systems Hamideh Sabbaghi, MS Ophthalmic Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran Definition of Code Code is considered as word, letter, or number which has been used as passwords instead of words or phrases. Coding System 1. Classification system 2. Nomenclature system Classification System A well-known system of corrections for naming different stages of the disease. Nomenclature System A medical list of a specific system of preferred terms for naming disease. WHO- FIC • Main/reference classification • Related classifications to the main/ reference classification • Driven classification from the main/ reference classification Main/reference classification • ICD- 10 (1990, WHA) • ICD- 11 (2007, WHO) • http://who.int/classifications/apps/icd/icd10online/ ICD with a commonest usage can be used for: • Identification of health trend, mortality and morbidity statistics. • Clinical and health research purposes. Main/reference classification • ICD-9-CM (International Classification of Diseases, Ninth Revision, Clinical Modification) • ICF (International Classification of Function, Disability and Health) • ICHI (International Classification of Health Intervention) Related classifications to the main/ reference classification • ATC/DDD (The Anatomical Therapeutic chemical classification system with Defined Daily Doses) • ATCvet (The Anatomical Therapeutic Chemical Classification System for veterinary medicinal products) • ICECI (International Classification of External Causes
    [Show full text]
  • A Status Report, 2008-2009 WHO-FIC 2009/C006
    Seoul, Republic of Korea WHO-FIC Education Committee: WHO-FIC 2009/C006 10 - 16 October 2009 A Status Report, 2008-2009 Cassia Maria Buchalla and Marjorie S. Greenberg Co-chairs Abstract The WHO-FIC Education Committee (EC) was established at the 2003 WHO-FIC Network meeting in Cologne, Germany, as a successor to the Subgroup on Training and Credentialing of the WHO-FIC Implementation Committee. New terms of reference were developed at the Cologne meeting to reflect generic tasks for education and training on the International Statistical Classification of Diseases and Related Health Problems (ICD) and the International Classification of Functioning, Disability and Health (ICF). Specific tasks have been agreed for both ICD and ICF. The Education Committee (EC) assists and advises WHO in improving the quality of use of the WHO classifications in member states through the development of training and certification strategies, the identification of best training practices and by providing a network for sharing expertise and experiences on education and training. The principal ICD tasks relate to an international training and certification program for ICD-10 mortality and morbidity coders; this program has been developed in conjunction with the International Federation of Health Records Organizations (IFHRO), a non-governmental organization in official relations with WHO. A Joint WHO-FIC – IFHRO Collaboration (JC) was established in late 2004 to carry forward this work. The Education Committee’s ICF tasks are being carried out in collaboration with the WHO-FIC Network’s Functioning and Disability Reference Group (FDRG). The Education Committee held four teleconferences in 2009 and a mid-year meeting in Raleigh, North Carolina, USA, in cooperation with the Joint Collaboration.
    [Show full text]
  • Using LOINC with SNOMED CT 3 April 2017
    Using LOINC with SNOMED CT 3 April 2017 Latest web browsable version: http://snomed.org/loinc SNOMED CT Document Library: http://snomed.org/doc 1. Using LOINC with SNOMED CT . 3 1 Introduction . 4 2 Short Introduction to SNOMED CT . 6 2.1 Features of SNOMED CT . 6 2.2 Benefits of SNOMED CT . 7 3 Short Introduction to LOINC . 9 3.1 Features of LOINC . 9 3.2 Benefits of LOINC . 13 4 Cooperative Work . 15 4.1 Cooperative Work Overview . 15 4.2 Release File Specifications . 16 4.2.1 LOINC Part map reference set . 16 4.2.2 LOINC Term to Expression Reference Set . 18 4.3 Benefits of Products of the Cooperative Work . 21 5 Guidance on Use of SNOMED CT and LOINC Together . 22 5.1 Use of SNOMED CT and/or LOINC in . 22 5.2 Practical Guidance on Uses of SNOMED CT and LOINC . 23 5.2.1 Guideline A - Vital Signs (Observation Names and Values) . 23 5.2.2 Guideline B - Laboratory Orders . 24 5.2.3 Guideline C - Laboratory Test Results (Observation Names and Values) . 26 5.2.4 Guideline D - Specimens . 30 5.2.5 Guideline E - Animal Species and Breeds . 32 5.2.6 Guideline F - Procedures (Laboratory Methods) . 33 5.2.7 Practical Uses of Part Maps and Expression Associations . 34 5.2 Terminology Scenarios - Summary . 40 6 References . 40 Using LOINC with SNOMED CT (3 April 2017) Using LOINC with SNOMED CT The Guide to Use of SNOMED CT and LOINC together provides advice on combined use of SNOMED CT and LOINC.
    [Show full text]
  • Volume 3, Number 2, 2005
    Volume 3, Number 2, 2005 Editorial Board Classification and terminology, what is in a name? Dr Marijke W. de Kleijn-de Vrankrijker Drs Huib Ten Napel The WHO-FIC Network meeting in October 2005 in Tokyo showed five Dr Willem M. Hirs projects on linking between WHO classifications and clinical terminologies: Realization and Design 1. R. Jakob, C. Çelik. Linkages between the ICD and terminologies A.C. Alta, Studio RIVM 2. K. Giannangelo & S. Fenton. Mapping: Creating the Terminology and Classification Published by Connection WHO-FIC Collaborating Centre in the 3. S. Zaiss, N. Hanser, N. Baerlecken. Comparison of ICHI and CCAM Basic Coding System Netherlands. 4. J.M. Rodrigues, A. Rector, P.E. Zanstra, R. Baud, J. Rogers, A.M. Rassinoux, S. Schultz, B. Responsibility for the information given Trombert, H. ten Napel, L. Clavel, E.J. vander Haring, C. Mateùs. Supporting WHO remains with the persons indicated. Classifications with GALEN tools Material from the Newsletter may be reproduced provided due 5. P.E. Zanstra, J..M. Rodrigues, A. Rector, M. Virtanen, G. Surjan, B. Üstün, P. Lewalle. acknowledgement is given. SemanticHealth. A semantic interoperability deployment and research roadmap; see p. 10 M. Virtanen chaired also a round table discussion with terminology experts, such Address WHO-FIC Collaborating Centre in the as C. Galinsky (Infoterm), J.M. Rodrigues (from the circle of Galen), K. Netherlands Spackman (from the circle of Snomed). Department for Public Health Forecasting In the summary report of the Network meeting it was stated that - "thanks to the National Institute of Public Health and the developments in informatics today - it is possible to link classifications and Environment (RIVM), P.O.Box 1, 3720 BA Bilthoven, The Netherlands.
    [Show full text]
  • Clinical Vocabularies for Global Real World Evidence (RWE) | Evidera
    Clinical Vocabularies for Global RWE Analysis Don O’Hara, MS Senior Research Associate, Real-World Evidence, Evidera Vernon F. Schabert, PhD Senior Research Scientist, Real-World Evidence, Evidera Introduction significant volume of real-world evidence (RWE) analyses continue to be conducted with data A repurposed from healthcare administrative Don O’Hara Vernon F. Schabert databases. The range of sources represented by those databases has grown in response to demand for richer description of patient health status and outcomes. information for improved quality and coordination Data availability, including the range of available data of care, often using standardized messaging systems sources, has grown unevenly across the globe in response such as Health Level 7 (HL7). These messages are to country-specific market and regulatory dynamics. only as good as the standardization of codes between Nonetheless, as demand globalizes for RWE insights from message senders and receivers, which motivates the databases, those demands increase pressure on analysts encoding of facts using common code sets. The second to find ways to bridge differences between local data is the increased availability of common data models to sources to achieve comparable insights across regions. standardize the extraction and analysis of these data for RWE and drug safety purposes. While common data One of the challenges in bridging differences across models make compromises on the structure of tables databases is the codes used to represent key clinical and fields extracted from healthcare systems such as facts. Historically, RWE database studies have leveraged electronic medical records (EMR) and billing systems, local code sets for cost-bearing healthcare services they can improve consistency and replicability of analyses such as drugs, procedures, and laboratory tests.
    [Show full text]
  • Ministry of Labour, Health and Social Affairs of Georgia
    WWW.MOH.GOV.GE Ministry of Labour, Health and Social Affairs of Georgia Georgia Health Management Information System Strategy “Healthy Georgia, Connected to You” 2011 Table of Contents Executive Summary . 5 Goals and Objectives. 6 Governance. 7 Operational.Aspects. 9 HMIS Standards. .10 Message.Standards. .10 Vocabulary.Standards.for.Medical.Care. .11 Diagnosis.-.ICD.10,.Medcin. .12 Treatments.-.CPT. .13 Drugs.–RXNorm,.Multum,.Medispan,.First.Data.Bank. .13 Lab.–.LOINC,.SNOMED . .13 Administrative.Standards . .13 Citizens/Patients. .14 Provider.Credentialing,.Licensing.and.Unique.Identifiers. .14 National.Drug.Database . .14 Health.Data.Dictionary . .14 HMIS.Key.Indicators.and.Metrics. .15 HMIS.Core.Data.Sets. .15 HMIS Functionality . .16 Overview. .16 What.is.not.an.HMIS.component . .19 Software.Acquisition.versus.Development. .19 Selective.review.of.relevant.systems.that.are.already.available.in.Georgia . .23 Hesperus . .23 Vaccinations.system . .23 Electronic.registration.for.births.and.deaths.system. .23 TB.system,.AIDS.system,. .23 Surveillance.system.(DETRA).–.Infectious.Disease. .24 EU.project.for.MD’s.in.villages.to.be.equipped.with.400.PC’s . .24 SIMS. .24 Electronic Medical Record (EMR) . .25 Personal.and.Health.Information. .26 Results.Management. .26 Order.Management. .26 Decision.Support. .26 Reporting . .26 Electronic.Communication.and.Connectivity. .26 Patient.Support . .27 Administrative.Processes . .28 3 Financial Information System Functionality. .29 Georgian Health Data Repository (GHDR) . .32 Populating.the.Georgian.Health.Data.Repository.(GHDR) . .33 Extract,.Transform.Load. .34 Data.Domains.(Categories). .34 Data.Analysis.and.Presentation. .35 Reporting . .35 Dashboards . .36 GHDR.Uses. .36 Georgian.Healthcare.Statistics. .36 Monitoring.Healthcare.Costs. .36 Public.Health.Surveillance .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. ...36 Decision.Support:..Improving.Patient.Care .
    [Show full text]
  • November 5, 2003 – Letter to the Secretary – Comments on CHI
    November 5, 2003 The Honorable Tommy G. Thompson Secretary Department of Health and Human Services 200 Independence Avenue SW Washington, D.C. 20201 Dear Secretary Thompson: The National Committee on Vital and Health Statistics (NCVHS) commends you for your commitment toward government wide adoption of clinical data standards that you first announced on March 21, 2003. NCVHS recognizes and appreciates that there is new momentum to adopt clinical data standards that is driven by you and the Consolidated Healthcare Informatics Initiative (CHI). Consequently, NCVHS is now working closely with CHI to study, select and recommend domain specific patient medical record information (PMRI) terminology standards. We have mutually developed a process that allows NCVHS to discuss in open, interactive sessions CHI recommendations as part of the CHI Council acceptance process. The NCVHS has the following comments on the attached set of CHI domain area recommendations: • The NCVHS concurs with the CHI recommendations for Interventions and Procedures: Part B, Laboratory Test Order Names. • The NCVHS concurs with the CHI recommendations for the Medication Domain as modified in the attached document. We further note: o the need for additional funding for the Food and Drug Administration (FDA) to expedite the publication of a publicly available version of their Unique Ingredient Identifier (UNII) codes and to provide continued funding to maintain the UNII code standard; o that the dosage and administration sub-domain be investigated in the next phase of the CHI process; and o that the FDA National Drug Code (NDC) process be investigated and improvements identified be expeditiously pursued. • The NCVHS concurs with the CHI recommendations for the Immunization Domain as modified in the attached document.
    [Show full text]
  • Ata Lements for Mergency Epartment Ystems
    D ata E lements for E mergency D epartment S ystems Release 1.0 U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES CDCCENTERS FOR DISEASE CONTROL AND PREVENTION D ata E lements for E mergency D epartment S ystems Release 1.0 National Center for Injury Prevention and Control Atlanta, Georgia 1997 Data Elements for Emergency Department Systems, Release 1.0 (DEEDS) is the result of contributions by participants in the National Workshop on Emergency Department Data, held January 23-25, 1996, in Atlanta, Georgia, subsequent review and comment by individuals who read Release 1.0 in draft form, and finalization by a multidisciplinary writing committee. DEEDS is a set of recommendations published by the National Center for Injury Prevention and Control of the Centers for Disease Control and Prevention: Centers for Disease Control and Prevention David Satcher, MD, PhD, Director National Center for Injury Prevention and Control Mark L. Rosenberg, MD, MPP, Director Division of Acute Care, Rehabilitation Research, and Disability Prevention Richard J. Waxweiler, PhD, Director Acute Care Team Daniel A. Pollock, MD, Leader Production services were provided by the staff of the Office of Communication Resources, National Center for Injury Prevention and Control, and the Management Analysis and Services Office: Editing Valerie R. Johnson Cover Design and Layout Barbara B. Lord Use of trade names is for identification only and does not constitute endorsement by the U.S. Department of Health and Human Services. This document and subsequent revisions can be found at the National Center for Injury Prevention and Control Web site: http://www.cdc.gov/ncipc/pub-res/deedspage.htm Suggested Citation: National Center for Injury Prevention and Control.
    [Show full text]
  • (USCDI), Version 1, July 2020 Errata
    Allergies and Intolerances .... 5 The USCDI is a standardized Assessment and Plan of set of health data classes and Treatment ............................ 5 Care Team Member(s) ......... 6 constituent data elements for Clinical Notes ........................ 7 nationwide, interoperable Goals ..................................... 8 Health Concerns ................... 8 health information exchange. Immunizations ...................... 9 Laboratory ............................ 9 A USCDI “Data Class” is an aggregation of various Data Elements by a common theme or use case. Medications ........................ 10 Patient Demographics ........ 10 A USCDI “Data Element” is the most granular level Problems ............................ 12 at which a piece of data is represented in the USCDI Procedures ......................... 12 for exchange. Provenance ........................ 13 Smoking Status ................... 13 Unique Device Identifier(s) for a Patient’s Implantable Device(s) ............................. 13 Vital Signs ........................... 14 2 Version History Version # Description of change Version Date 1 First Publication February 2020 1 (July 2020 Corrections to Applicable Standards July 2020 Errata) • Substance (Medication) - Removed UCUM • Patient’s Goals, Health Concerns, Assessment and Plan of Treatment - Removed LOINC, SNOMED CT • Laboratory Tests, Values/Results - Removed SNOMED CT and UCUM • Medications - Removed UCUM 3 USCDI v1 Summary of Data Classes and Data Elements Allergies and Intolerances Laboratory Smoking Status
    [Show full text]