Telemedicine Standards Telemedicina E E-Saúde 2018/19 Pedro Brandão

Total Page:16

File Type:pdf, Size:1020Kb

Telemedicine Standards Telemedicina E E-Saúde 2018/19 Pedro Brandão Telemedicina e eSaúde [d cc] Telemedicine Standards Telemedicina e e-Saúde 2018/19 Pedro Brandão References 2 • Sources are indicated by [RefSource] where the complete citation will be at the end • Insite citations will be From: CitationSource ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 1 Telemedicina e eSaúde 3 [d cc] Standards TeleSaude 18/19 - Standards - pbrandao 4 [d cc] Standards Based on Digital Imaging and Communications in Medicine (DICOM) Part 1: Introduction and Overview, National Electrical Manufacturers Association, 2018 [DICOM-INTRO] TeleSaude 18/19 - Standards - pbrandao Telemedicine Standards 2 Telemedicina e eSaúde Objectives 5 • Facilitate imaging medical devices interoperability by specifying: o A set of protocols for network communication o The syntax and semantics of Commands and the protocol information o Data storage services that should be implemented by devices that implement the standard . Includes file formats and directories structure • Reuse international standards as possible • Define the requirements to be conformant with the standard ] TeleSaude 18/19 - Standards - pbrandao [d cc DICOM – Does not specify 6 • Implementation details; • Set of capabilities and functionalities that a system with compliant devices should provide; • The test procedure or validation to be compliant with the standard o Only the requirements o Some other consortiums do (e.g.: Wi-Fi Alliance) ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 3 Telemedicina e eSaúde 7 ] TeleSaude 18/19 - Standards - pbrandao [d cc DICOM – Standard parts 8 7. Message Exchange 8. Network Communication Support for Message Exchange ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 4 Telemedicina e eSaúde Protocol Architecture 9 [DICOM-NET] Medical imaging application DICOM Application Upper Layer Message exchange Service Boundary DICOM Upper Layer HTTP Protocol for TCP/IP TCP/IP Network ] TeleSaude 18/19 - Standards - pbrandao [d cc Association request example 10 [DICOM-NET] SAP – Service Access Point UL – Upper Layer ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 5 Telemedicina e eSaúde PACS 11 • Picture Archiving and Communication Systems • Composed of : o Acquisition device(s); o Communication network (secure); o Archive system(s); o Visualization stations; • DICOM is the standard that defines the communication and storage. ] TeleSaude 18/19 - Standards - pbrandao [d cc 12 [d cc] UMLS Unified Medical Language System Standards Based on UMLS Basics (tutorial) [UMLS-TUTORIAL] TeleSaude 18/19 - Standards - pbrandao Telemedicine Standards 6 Telemedicina e eSaúde UMLS [UMLS-Tutorial] 13 • Enable the development of applications that understand biomedical language; ] TeleSaude 18/19 - Standards - pbrandao [d cc UMLS Sources of data [UMLS-Tutorial] 14 • The Meta-Thesaurus has more than 100 vocabularies; o ~71.44% in English, with 25 other languages (including PT, 2.08%) (stats) o Concepts: 3,822,832 • Example: Atrial fibrillation ICD-9-CM AF NCI Thesaurus AFib MedDRA Atrial fibrillation (disorder) SNOMED Clinical Terms atrium; fibrillation ICPC2-ICD10 Thesaurus ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 7 Telemedicina e eSaúde Categories [UMLS-Tutorial] 15 • Most important categories of the used dictionaries; data from 2016 ] TeleSaude 18/19 - Standards - pbrandao [d cc Entry example [UMLS-Tutorial] 16 • Concept Unique Identifiers (CUI): a meaning of something. Associated with the several names of the concept. Identifier starts with C + 7 digits. C0018681 in the figure. • Lexical (term) Unique Identifiers (LUI): lexical variants. Identifier L+7 digits, example has 3 LUIs. • String Unique Identifiers (SUI): each “name” for the unique concept or string has a unique permanent identifier with S+7 digits. • Atom Unique Identifiers (AUI): sources of the strings/concepts from where the MetaThesaurus is built. Identifier A + 7 digits. ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 8 Telemedicina e eSaúde Semantic [UMLS-Tutorial] 17 • Semantic types o High level categories o Ex.: Physiologic Function • Semantic relations o Relation between types o Ex.: disrupts ] TeleSaude 18/19 - Standards - pbrandao [d cc Specialist Lexicon and tools [UMLS-Tutorial] 18 • English lexicon that includes biomedical terms and current words. With the information on: o Syntax o Morphology o Spelling • Tools: o Lexical variants generator o String normalizer o Word indexer ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 9 Telemedicina e eSaúde 19 [d cc] SNOMED CT Systematized Nomenclature of Medicine Clinical Terms Standards Based on SNOMED Clinical Starter Guide July 2017 International Release, The International Health Terminology Standards Development Organisation [SNOMED-SG] TeleSaude 18/19 - Standards - pbrandao SNOMED CT 20 • Aggregation of o SNOMED Reference Terminology (SNOMED RT) by the College of American Pathologists (CAP) o Clinical Terms Version 3 (CTV3) from the UK NHS • Composed by: o Concepts, terms and relationships • Portugal is a member, represented by Centro de Terminologias Clínicas ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 10 Telemedicina e eSaúde Hierarchies (examples) 21 • Clinical finding • Substance • Physical force • Staging and scales • Procedure • Pharmaceutical/biologic product • Event • Linkage concept • Observable entity • Specimen • Environment or geographical • Qualifier value location • Special concept • Body structure • Record artefact • Social context • Physical object • Organism • Situation with explicit context ] TeleSaude 18/19 - Standards - pbrandao [d cc Granularity 22 Fonte [SNOMED-SG] ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 11 Telemedicina e eSaúde Identifiers 23 • Concepts o Numerical Identifier Semantic tag semantic category • Descriptions Uniquely o Numerical Identifier identifies a concept ConceptID 22298006: Fully Specified Name: Myocardial infarction (disorder) DescriptionID 751689013 Preferred term: Myocardial infarction DescriptionID 37436014 Synonym: Cardiac infarction DescriptionID 37442013 ] TeleSaude 18/19 - Standards - pbrandao [d cc Relationships 24 • Navigation • Kind-of-value • Aggregation • Additional • Definition • Qualification Fracture of tarsal bone (disorder) IS_A Fracture of foot (disorder) FINDING SITE Bone structure of tarsus (body structure) ASSOCIATED MORPHOLOGY Fracture (morphologic abnormality) See Summary#Relationships ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 12 Telemedicina e eSaúde Attributes define (examples): 25 • Clinical Findings • Procedures • Evaluation Procedures • Specimen • Pharmaceutical / biologic product • Explicit context • Events • Physical objects See Editorial Guide 5.1.1 ] TeleSaude 18/19 - Standards - pbrandao [d cc [d cc] Other nomenclatures TeleSaude 18/19 - Standards - pbrandao Telemedicine Standards 13 Telemedicina e eSaúde ICD 27 • International Classification of Diseases • Defined by WHO o Current version 11 (18-June-2018) • For clinical and management use; ] TeleSaude 18/19 - Standards - pbrandao [d cc ICPC-2 28 • International Classification Primary Care, 2nd Edition o 2018, 2e-v7.0 • WHO accepted the std for encounters’ reasons • It allows to classify: o Reasons for “meeting” (doctor visit) o Diagnostic o Procedure used ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 14 Telemedicina e eSaúde WHO others 29 • ICF – International Classification of Functioning, Disability and Health • ICHI – International Classification of Health Interventions ] TeleSaude 18/19 - Standards - pbrandao [d cc LOINC 30 • Logical Observation Identifiers Names and Codes o LOINC Version 2.65, 89 271 Terms • Released 2018-12-14 • Maintained by the Regenstrief institute • Defines codes to identify test results and clinical observations and measures. o On the context of HL7 and CEN TC251 messages • Allows the suggestion of new terms • Freely available. ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 15 Telemedicina e eSaúde LOINC (cont.) 31 • Used by/compatible with other standards o HL7 (used by) o UMLS (maps to) o SNOMED (used with) ] TeleSaude 18/19 - Standards - pbrandao [d cc MeSH 32 • Medical Subject Headings • Maintained by the national library of medicine from the USA • Defines an hierarchical structure of medical terms • Used to indexed medical articles; o Books, documents, audio-visuals ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 16 Telemedicina e eSaúde HL7 33 • Health Level International 7 • Defines standards for the exchange, Application integration and search of health Presentation information on an electronic format. Session • Supports the clinical practice and Transport management Network • + 2300 members Logic Physical • The 7 refers to the OSI layer ] TeleSaude 18/19 - Standards - pbrandao [d cc HL7 34 • Promotes the interoperability between systems: o Functional Int.: information exchange o Semantic Int.: information usage • Divided in several working groups; • Technical committee for EHR • Standards freely available o HL7 Standards o Some restrictions ] TeleSaude 18/19 - Standards - pbrandao [d cc Telemedicine Standards 17 Telemedicina e eSaúde Model 35 • RIM – Reference Information Model: o Object Model that identifies the life-cycle of the events carried by the messages; o Model shared by all domains, i.e., from all create their messages; o Based on the UML (Unified Modelling
Recommended publications
  • Fundamentals and Implementation of the Openehr Standard the Open Standard for Future Proof Health Information Systems
    Fundamentals and Implementation of the openEHR standard the open standard for future proof health information systems Course objectives The main goal of this course is for students to get to know the openEHR specifications, it's role and purpose on health informatics projects, it's scope and how it can work together with other standards. Including how openEHR contributes to improve health information systems quality, and how it enables interoperability. Students will be instructed in the openEHR Information Model Specifications, in the Archetype Model and Archetype Definition Language (ADL) Specifications, and in Software Tools for modeling and sharing Archetypes and Templates. All these topics will be linked together with general concepts of clinical record structure, information model architectures and interoperability. Why do we need this course? Health information system projects are booming. Some projects had some level of success and are now very lucrative products, but most didn't have the expected impact or even failed after huge investments. This is due multiple factors, including deficient or incomplete technical proposals that do not contemplate or limit the action of the health professional, lack of standardization of health information that limits the ability to share and reuse information, a huge technological dependency created by the software industry, in-house developments or acquisitions of canned systems that are not capable of being adapted to specific needs and evolve with changing requirements of clinical information is a sustainable way. The openEHR standard proposes solutions for some of these problems and challenges, with a completely new paradigm of designing health information systems, that empowers the health care professional making them fundamental actors in developing new health information systems, in a vendor-neutral way.
    [Show full text]
  • Implementation of Openehr in Combination with Clinical Terminologies: Experiences from Norway
    International Journal on Advances in Life Sciences, vol 9 no 3 & 4, year 2017, http://www.iariajournals.org/life_sciences/ 82 Implementation of OpenEHR in Combination with Clinical Terminologies: Experiences from Norway Rune Pedersen Conceição Granja, Luis Marco Ruiz Norwegian Centre for eHealth Research Norwegian Centre for eHealth Research University Hospital of North Norway University Hospital of North Norway Telemedicine- and eHealth Tromsø, Norway University of Tromsø {conceicao.granja, luis.marco.ruiz}@ehealthresearch.no [email protected] Abstract—Norway is currently involved in several initiatives to operation needs not only efficient technologies but also the adopt clinical information standards and terminologies. This ability of these technologies to exchange information without paper aims to identify and discuss challenges and experiences any ambiguity or loss of meaning, i.e., interoperate at a se- for large-scale national implementation projects when working mantic level [10]. towards structured Electronic Health Records systems, process Enabling semantic interoperability (SIOp) across and decision support, and secondary use of clinical data. This healthcare technological platforms is needed in order to guar- paper reports from the national strategy for OpenEHR adop- antee that different stakeholders will derive the same conclu- tion in Northern Norway Regional Health Authority encour- sions from the same data set [10]. If SIOp is not granted across aged by the development of a national repository for OpenEHR organizational boundaries, the lack of precision in specifying archetypes and a national initiative to integrate clinical termi- the meaning of the information shared may lead to misinter- nologies. The paper contributes to a qualitative longitudinal in- terpretive study with an effort to increase the possibility to ob- pretations of healthcare data jeopardizing the quality of care tain semantic interoperability (towards integrated care) and dis- and hampering research outcomes.
    [Show full text]
  • Microsoft Amalga the Unified Intelligence System
    m Microsoft Amalga the Unified Intelligence System > Turn information into health intelligence and critical knowledge PG 02 MICROSOFT AMALGA MICROSOFT AMALGA PG 03 Our vision: For more than a decade, Microsoft has invested significant time and resources into understanding the needs of healthcare organizations. We are developing solutions that To improve health encompass both the provider and the consumer to help you achieve your goals from better patient care to improving the financial health of your organization. We believe around the world the issues that Microsoft is best positioned to address focus on healthcare information management—getting the right data in front of the right people in the right way at the right time. That’s why we’re working to speed and improve the capture, manipulation, aggregation, and presentation of healthcare data by offering a family of integrated IT systems for the healthcare enterprise. The Microsoft® Amalga™ Family of Enterprise Health Systems is built on Microsoft technology, offering a comprehensive range of solutions to meet the needs of your health enterprise. Microsoft Amalga Microsoft Amalga, the new version of the product formerly known as Azyxxi, is the Unified Intelligence System that allows hospital enterprises to unlock the power of all their data sitting in clinical, financial, and administrative silos. Without replacing current systems, Amalga offers leading-edge institutions an innovative way to capture, consoli- date, store, access, and quickly present data in meaningful ways. Microsoft Amalga Hospital Information System Microsoft Amalga Hospital Information System (HIS), the new version of Hospital 2000, is a state-of-the-art, integrated hospital information system designed to meet the needs of developing and emerging markets.
    [Show full text]
  • Implement an International Interoperable PHR by FHIR—A Taiwan Innovative Application
    sustainability Article Implement an International Interoperable PHR by FHIR—A Taiwan Innovative Application Yen-Liang Lee 1,2, Hsiu-An Lee 3,4,5,*, Chien-Yeh Hsu 4,5,6,*, Hsin-Hua Kung 4,5 and Hung-Wen Chiu 1,* 1 Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei 110, Taiwan; [email protected] 2 Internet of Things Laboratory, Chunghwa Telecom Laboratories, TaoYuan 326402, Taiwan 3 Department of Computer Science and Information Engineering, Tamkang University, New Taipei 251301, Taiwan 4 Standards and Interoperability Lab, Smart Healthcare Center of Excellence, Taipei 112303, Taiwan; [email protected] 5 Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei 112303, Taiwan 6 Master Program in Global Health and Development, Taipei Medical University, Taipei 110, Taiwan * Correspondence: [email protected] (H.-A.L.); [email protected] (C.-Y.H.); [email protected] (H.-W.C.) Abstract: Personal health records (PHRs) have lots of benefits for things such as health surveil- lance, epidemiological surveillance, self-control, links to various services, public health and health management, and international surveillance. The implementation of an international standard for interoperability is essential to accessing personal health records. In Taiwan, the nationwide exchange platform for electronic medical records (EMRs) has been in use for many years. The Health Level Seven International (HL7) Clinical Document Architecture (CDA) was used as the standard of the EMRs. However, the complication of implementing CDA became a barrier for many hospitals to real- ize the standard EMRs. In this study, we implemented a Fast Healthcare Interoperability Resources (FHIR)-based PHR transformation process including a user interface module to review the contents of PHRs.
    [Show full text]
  • 5 EVENTS in ONE: Head Real World Evidence and Big Data Solutions Novartis, Switzerland
    FIFTH ANNUAL - LIFE SCIENCE R&D DATA INTELLIGENCE LEADERS FORUM Basel, Switzerland January 23-24th, 2018 Optional Workshop 22nd, January Hear keynote presentations from the experts: Etzard Stolte Global Head Knowledge Management Roche, Switzerland Abhimanyu Verma 5 EVENTS IN ONE: Head Real World Evidence and Big Data Solutions Novartis, Switzerland Day 1: Torsten Niederdraenk Head of Technology Center Strategic Developments in R&D Big Siemens Healthcare, Germany Data Catherine Brownstein Scientific Director Day 2 (am): Stream 1 Manton Center for Orphan Disease Research Boston Children’s Hospital, USA Discovery & Omics Data Excellence Navin Ramachandran Radiology Consultant Day 2 (am): Stream 2 University College London Hospitals NHS Foundation Trust, Healthcare specialist in distributed ledgers and IoT Clinical & Patient Level Data IOTA Foundation, UK Excellence Marie-Claire Peakman Executive Director, Head Hit Discovery & Lead Profiling, Medicine Design Day 2 (pm): Stream A Pfizer, USA R&D IT & Bioinformatics Alex Zhavoronkov Co-founder, Insilico Medicine, CSO Day 2 (pm): Stream B The Biogerontology Research Foundation, UK Ivana Schnur Digital Health Collaborations Co-founder, CMO Sense.ly, USA Pre-Event Workshop: Jan 22nd Paul Wicks Artificial Intelligence for Drug Vice President of Innovation PatientsLikeMe, UK Discovery: Workshop for Senior Jazz Panchoo Global Strategy Head, VP, Digital Platforms Executives Ascensia Diabetes Care, Switzerland This Event is Certified for Continuing Professional Development with more than 30 presentations
    [Show full text]
  • The Strategy for Telemedicine in Lublin Province
    JOURNAL OF MEDICAL INFORMATICS & TECHNOLOGIES Vol. 15/2010, ISSN 1642-6037 telemedicine, remote consultations, health records standardisation Rafal STEGIERSKI 1, Pawel MIKOLAJCZAK 1, Karol KUCZYNSKI 1, Waldemar SUSZYNSKI 1, Maciej SICZEK 2 THE STRATEGY FOR TELEMEDICINE IN LUBLIN PROVINCE Main role of this article is presentation, in a very short way, most important results of over two years of work board of experts from two universities, two clinical hospitals, city hall and also medical software and hardware suppliers. As a main purpose of strategy improvement of health care level in region was set. This aim will be achieved by telemedical infrastructure development, creation and implementation of procedures and instant training of staff. Strategy is focused on three main aspects. First one groups medical projects, second infrastructure project and third one is regional centre of coordination. In medical area proposed changes are mainly focused on telemedical support for emergency services, remote medical consultations and complex home monitoring of patients. Main solution for infrastructure assumes creation of integrated information system for hospitals and emergency units. I this part of the strategy selection of the proper standards for data storing and exchange. Probably one of the best choices is OpenEHR. Last part is centre of cooperation which consists of coordination centre of telemedical services, telemedical projects management unit, and training facility. 1. INTRODUCTION Lublin Telemedical network has a chance to be a modern system of cooperation of patients, medical staff and administration departments of hospitals and medical centres which could break as geographical as social limits in access to modern medical services. This state could be obtained via simplification of medical information flow and standardisation of data storage and exchange in medical information systems.
    [Show full text]
  • A New Wave in Health Informatics : a Brief Overview
    International Journal of Pure and Applied Mathematics Volume 118 No. 18 2018, 4555-4560 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu Special Issue ijpam.eu A New Wave In Health Informatics : A Brief Overview 1M J Yogesh And 2J Karthikeyan 1Research Scholar, School of Information Technology,VIT University,Vellore E-mail: [email protected] 2School of Information Technology,VIT University, Vellore E-mail: [email protected] ABSTRACT The term Health Informatics has become a famous word in recent years because of its increasing usage day by day which has opened up many opportunities in healthcare industries and the medical field at large. Nowadays all kinds of data are being analysed for insights. In this paper, we discuss a brief overview of health informatics and usage of Electronic Health Records (EHRs) and research ideas to get meaningful information from medical data. A new wave has begun to make use of health informatics in providing quality treatment and the required help for doctors which makes their and patient's lives much more meaningful. Keywords—Health informatics; Neuro-informatics; Clinical informatics; EHRs 1.INTRODUCTION The basic goal of Health Informatics is to take in real world medical data (tissue, molecule, patient, population) to help advance our understanding of medicine and medical practice. Health Informatics is a combination of information science and computer science within the realm of healthcare. “There are numerous current areas of research within the field of Health Informatics, including Image Informatics (e.g. Neu- roinformatics), Clinical Informatics, Public Health Informatics, and also Translational BioInformatics (TBI).
    [Show full text]
  • Introducing Openehr
    Introducing openEHR © 2003-2007 The openEHR Foundation The openEHR Foundation is an independent, non-profit community, facilitating the sharing of health records by consumers and clinicians via open-source, standards-based implementations. Founding David Ingram, Professor of Health Informatics, Chairman CHIME, University College London Founding Dr P Schloeffel, Dr S Heard, Dr D Kalra, D Lloyd, T Beale Members email: [email protected] web: http://www.openEHR.org Overview of openEHR Introducing openEHR Rev 1.1 Overview of openEHR The Foundation The openEHR Foundation is a not-for-profit company, limited by guarantee. Its founding sharehold- ers are University College London, UK and Ocean Informatics Pty Ltd, Australia. It is regulated under the UK Companies Acts 1985 and 1989. The aims and management of the Foundation, exer- cised through its Board of Directors, are described on the openEHR website. The Board is responsi- ble for the governance of the Foundation, including strategic direction, financial management, legal regulation, and intellectual property (IP) management. The Board determines the roles, structures, and procedures of the Foundation and ensures that these function correctly. The major work of techni- cal and clinical oversight and supervision of openEHR product developments is delegated to the Architectural Review Board (ARB) and Clinical Review Board (CRB). Aims The openEHR Foundation is dedicated to the development of an open, interoperable health comput- ing platform, of which a major component is clinically effective and interoperable electronic health care records (EHRs). It does this by researching clinical requirements, and creating specifications and implementations. The specifications take the form of modular information models, service models and clinical information models.
    [Show full text]
  • Building the Business Case for SNOMED CT®
    Building the Business Case for SNOMED CT® Promoting and Realising SNOMED CT®’s value in enabling high-performing health systems Russell Buchanan Marc Koehn A Gevity Consulting Inc. Company Building the Business Case for SNOMED CT® Promoting and Realising SNOMED CT®’s value in enabling high-performing health systems Copyright © 2014, International Health Terminology Standards Development Organisation (www.ihtsdo.org) Gordon Point Informatics Ltd. (GPi), Gevity Consulting Inc., and IHTSDO recognize all trademarks, registered trademarks and other marks as the property of their respective owners. Gordon Point Informatics Ltd. A Gevity Consulting Inc. Company (Gevity Consulting Inc. was formerly known as Global Village Consulting Inc.) #350 - 375 Water Street Vancouver, British Columbia Canada V6B 5C6 Telephone: +1-604-608-1779 www.gpinformatics.com | www.gevityinc.com ii Acknowledgments The authors would like to gratefully acknowledge a number of contributors without whose advice and support this paper would not have been possible. PROJECT STEERING COMMITTEE MEMBERS Members of the project steering committee provided overall guidance and insights throughout the project: • Liara Tutina, Customer Relations Lead (Asia Pac), IHTSDO • Vivian A. Auld, Senior Specialist for Health Data Standards, National Library of Medicine, USA • Dr. Md Khadzir Sheikh Ahmad, Deputy Director, Health informatic Centre, P&D Division, Ministry of Health, Malaysia • Kate Ebrlll, Head of National Service Operation and Management, National eHealth Transition Authority (NEHTA), Australia • Anna Adelöf, Customer Relations Lead (EMEA) , IHTSDO WORKING GROUP MEMBERS Our working group offered not only ongoing advice and reviews but also provided access to critical materials and contacts: • Liara Tutina, Customer Relations Lead (Asia Pac), IHTSDO • Dr.
    [Show full text]
  • Direct Comparison of MEDCIN and SNOMED CT for Representation Of
    Direct Comparison of MEDCIN ® and SNOMED CT ® for Representation of a General Medical Evaluation Template Steven H. Brown MS MD 1,2 , S. Trent Rosenbloom MD MPH 2 , Brent A. Bauer MD 3, Dietli nd Wahner -Roedler MD 3, David A. Froehling, MD, Kent R, Bailey PhD, M ichael J Lincoln MD, Diane Montella MD 1, Elliot M. Fielstein PhD 1,2 Peter L. Elkin MD 3 1. Department of Veterans Affairs 2. Vanderbilt University, Nashville TN 3. Mayo Clinic, Rochester MN Background : Two candidate terminologies to efforts. Usable and functionally complete support entry of ge neral medical data are standard terminologies need to be available to SNOMED CT and MEDCIN . W e compare the systems designers and architects. Two candidate ability of SNOMED CT and MEDCIN to terminologies to support entry of general medical represent concepts and interface terms from a data are SNOMED CT and MED CIN . VA gener al medical examination template. Methods : We parsed the VA general medical SNOMED CT is a reference terminology that evaluation template and mapped the resulting has been recommended for various components expressions into SNOMED CT and MEDCIN . of patient medical record information by the Internists conducted d ouble independent reviews Consolidated Health Informatics Council and the on 864 expressions . Exact concept level matches National Committee on Vital and Health were used to evaluate reference coverage. Exact Statistics. (12) SNOMED CT, licensed for US - term level matches were required for interface wide use by the National Library of Medicine in terms. 2003, was evaluated in 15 M edline indexed Resul ts : Sensitivity of SNOMED CT as a studie s in 2006 .
    [Show full text]
  • Managing Non-DICOM Images Within an Enterprise Imaging Solution Agenda • Enterprise Imaging / Non-DICOM Market Trends
    Managing Non-DICOM Images within an Enterprise Imaging Solution Agenda • Enterprise Imaging / Non-DICOM Market Trends • Managing Non-DICOM Images in the Enterprise • Merge’s Non-DICOM Solution Options • Questions? Enterprise Imaging / Non-DICOM Trends 3 Interoperability Market Drivers M&A / Consolidation Enterprise Image Management Clinical and Financial Economies of Scale Comprehensive Image Record Connecting Providers EHR Optimization Patient Centric Care Across Sites Unified Patient Image Record 4 Providers Generate a Flood of Data Digital Clinical Objects Specialty MPEG, JPEG Other Most Common Devices DICOM A/V, WAV , PDF Clinical Anesthesia In Room C-Arm, X-ray, Anesthetic, Record Keeping Reports Cardiology CVMR, CVCT, Cath, CVUS, CVECG / Holter / Stress / Pace Dermatology Photos, dermatological Reports Emergency Medicine X-ray, CT, ECG, Triage Reports Endocrinology SPECT / CT, PET / CT, Physician Reports, Voice Dictation Files Family Medicine Physician Notes, Reports Gastroenterology Barium X-ray, CT, NM, Endoscopes, US, Reports, Voice Dictation Files Hematology HT Reports, Voice Dictation Files ICU Medicine In Dept C-Arm, X-ray, Patient CIS Flow Chart Reports Nephrology US and MRI Angiography, Scintigraphy (Nuc Med) Reports Voice Neurology Renal Scans, SPECT/CT, PET/CT, Physician Reports, Renal Grams, Voice iConnect™ Solution Nuclear Medicine Stored in a VNA US, Physician Reports, Voice Dictation Files Obstetrics X-ray, CT, US, Reports, Voice Dictation Files, Fetal Strips, Reports Oncology
    [Show full text]
  • Advancing Standards for Precision Medicine
    Advancing Standards for Precision Medicine FINAL REPORT Prepared by: Audacious Inquiry on behalf of the Office of the National Coordinator for Health Information Technology under Contract No. HHSM-500-2017-000101 Task Order No. HHSP23320100013U January 2021 ONC Advancing Standards for Precision Medicine Table of Contents Executive Summary ...................................................................................................................................... 5 Standards Development and Demonstration Projects ............................................................................ 5 Mobile Health, Sensors, and Wearables ........................................................................................... 5 Social Determinants of Health (SDOH) ............................................................................................. 5 Findings and Lessons Learned .......................................................................................................... 6 Recommendations ........................................................................................................................................ 6 Introduction ................................................................................................................................................... 7 Background ................................................................................................................................................... 7 Project Purpose, Goals, and Objectives ..................................................................................................
    [Show full text]