Health Informatics Standards: a View from Mid-America
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SNOMED CT Implementation: Implications of Choosing Clinical Findings Or Observable Entities
SNOMED CT implementation: Implications of choosing Clinical findings or Observable entities a,1 a Anne Randorff Rasmussen , Kirstine Rosenbeck aDepartment of Health Science and Technology, Medical Informatics, Aalborg University, Denmark Abstract. Internationally, it is a priority to develop and implement semantically interoperable health information systems.[1] One required technology is the use of standardised clinical terminologies. The terminology, SNOMED CT, has shown superior coverage compared to other terminologies in multiple clinical fields. The aim of this paper is to analyse SNOMED CT implementation in an Electronic Health Record (EHR). More specifically, differences and consequences of applying clinical findings (CFs) as an alternative to observable entities (OEs) is analysed. Results show that CFs represents the content of the templates with better coverage, with more parent concepts and with a higher degree of fully defined terms than the OEs. We discuss the possibility to further evaluate the observable entity hierarchy to overcome a potential overlapping use of the two hierarchies. Keywords. Clinical terminology, Implementation, SNOMED CT, Observable entity, Clinical finding, Electronic Health Record 1. Introduction Multiple definitions of identical concepts are a challenge in data communication in health care. Use of standardised clinical terminologies has the potential to ensure unambiguous data definition. This is a prerequisite in achieving semantic interoperability between health information systems. There exists numerous clinical terminologies, but SNOMED CT has shown to be superior regarding coverage in multiple clinical fields.[2,3] Therefore, SNOMED CT is chosen as the point of departure in this study. SNOMED CT is maintained and refined by the International Health Terminology Standardisation Organisation (IHTSDO). -
Case-Finding for Common Mental Disorders of Anxiety and Depression in Primary Care: an External Validation of Routinely Collected Data
John, A., McGregor, J., Fone, D., Dunstan, F., Cornish, R., Lyons, R., & Lloyd, K. R. (2016). Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data. BMC Medical Informatics and Decision Making, 16, [35]. https://doi.org/10.1186/s12911-016-0274-7 Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1186/s12911-016-0274-7 Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via BioMed Central at http://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-016-0274-7. Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ John et al. BMC Medical Informatics and Decision Making (2016) 16:35 DOI 10.1186/s12911-016-0274-7 RESEARCH ARTICLE Open Access Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data Ann John1,2*, Joanne McGregor1, David Fone2,3, Frank Dunstan3, Rosie Cornish4, Ronan A. Lyons1,2 and Keith R. Lloyd1 Abstract Background: The robustness of epidemiological research using routinely collected primary care electronic data to support policy and practice for common mental disorders (CMD) anxiety and depression would be greatly enhanced by appropriate validation of diagnostic codes and algorithms for data extraction. -
SNOMED CT and Clinical Coding
SNOMED CT and Clinical Coding Presented by: The Terminology and Classifications Delivery Service, NHS Digital This presentation is designed to provide an overview of what a SNOMED CT generated discharge summary may look like and how SNOMED CT, ICD-10 and OPCS-4 can work together to fulfil different needs. 1 Setting the context National Information Board (NIB) • Published Personalised Health and Care 2020 - A Framework for Action • Endorses the move to adopt a single clinical terminology – SNOMED CT – to support direct management of care • “Actively collaborate to ensure that all primary care systems adopt SNOMED CT by the end of December 2016…… • ….And the entire health system should adopt SNOMED CT by April 2020. • During this time, we must also work with local authorities to understand and address the implications of this for social care.” Reference https://www.gov.uk/government/publications/personalised-health- and-care-2020 2 SCCI0034 Amd 35/2016 and Addendum: SNOMED CT SNOMED CT was approved at the SCCI Board in October 2016 http://www.content.digital.nhs.uk/isce/publication/scci0034 • Systems used by, or communicating coded clinical data to, General Practice service providers must use SNOMED CT as the clinical terminology within the system before 1 April 2018. SNOMED CT must be utilised in place of the Read codes before 1 April 2018 • Systems used by all other providers of health related services where the flow of information for the direct management of patient care comes into the NHS should use SNOMED CT 3 3 The case for SNOMED -
The Healthcare System in Saudi Arabia and Its Challenges: the Case of Diabetes Care Pathway
Journal of Health Informatics in Developing Countries www.jhidc.org Vol. 10 No. 1, 2016 Submitted: October 6, 2015 Accepted: January 17, 2016 The Healthcare System in Saudi Arabia and its Challenges: The Case of Diabetes Care Pathway Sarah Hamad ALKADI King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia Abstract. The advances of Information Technology (IT) play an important role globally in improving quality and capacity of healthcare sector. IT helps the health professions in managing resources and increasing productivity effectively. Although the conversion from paper to electronic patient records (EPR) conveys many benefits for both caregivers and caretakers, but also has brought many challenges in different aspects. Hospitals have implemented EPR to different degrees. They have used a set of standards in order to insure that data is accurately and consistently processed. Even though, the standardization of how data are captured, exchanged and used includes a set of complications that should be discovered to provide better health data quality for patients with multiple healthcare providers. Therefore, through an analysis of the EPR systems utilization in Saudi Arabia and the diabetes care pathway, three factors have been determined. These factors affect the workflow of the implementation and utilization of health information system (HIS) in terms of capturing, sharing and using its data efficiently. Keywords. HIS, EPR, information sharing, social factors, standards, health information management, diabetes care pathway, health informatics, data capturing, data sharing, Saudi Arabia. 1. Introduction The technology investment in health sector has importance in the management of healthcare services delivery in the developing countries. It is necessary to enhance the utilization as well as the implementation of HIS through standardizing the medical data in order to have a better data quality and more reliable system. -
Suffolk PPS Flat File Interface Specifications
Suffolk PPS Flat File Interface Specifications DSRIP Partner Message Processing August 13, 2015, V0400 © Cerner Corporation. All rights reserved. This document contains Cerner confidential and/or proprietary information belonging to Cerner Corporation and/or its related affiliates which may not be reproduced or transmitted in any form or by any means without the express written consent of Cerner. PREPARED BY: CERNER CORPORATION 51 VALLEY STREAM PARKWAY MALVERN, PENNSYLVANIA 19355 (610) 219-6300 Authors: Greg Quattlebaum, Manager, Enterprise Application Integration and Interoperability Amy Schlung, Senior Interface Architect, Data Integration Services File Name: Suffolk_Flat_Interface_Specs_081315_V0400.doc Copyright © Cerner Corporation. All rights reserved. OPENLinkTM is a trademark of Cerner Corporation. All other products and services that are referred to in this document are or may be trademarks of their respective owners. Suffolk Care Collaborative Flat File Interface Specifications Cerner Corporation 08/13/15, V0400 Page 2 of 72 Revision History and Acronyms and Meanings Revision History Version Date Author(s) Reason for Change V0100 22-Jul-2015 Greg Quattlebaum, Amy Schlung Initial Release V0200 03-Aug-2015 Greg Quattlebaum Client Changes V0300 11-Aug-2015 Greg Quattlebaum Client Changes – Add Standard Code Systems List and HL7 Code Systems and Value Sets V0400 13-Aug-2015 Greg Quattlebaum Client Changes – Move Code System Lists to end of document Acronyms Below is a list of acronyms and meanings used within this document. Acronym -
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 . -
NCCHCA Finance Essentials Coding and Documentation –The CFO’S Favorite Subject!
North Carolina Community Health Care Association NCCHCA Finance Essentials Coding and Documentation –The CFO’s Favorite Subject! September 10, 2019 Meri Harrington, CPC, CEMC Brown Consulting Associates, Inc. Today’s Agenda Unique Revenue Concerns • Service Coding • Upcoming Changes and E/M Visit Codes • FQHC Guidelines • Approach and Outcomes • Stories Told by Your Data • Diagnosis Coding and Reporting • Risk Adjustment Programs • Overview of Various Models • Anatomy of a risk score • Roles & Responsibilities • Integrated Behavioral Health – The Finest New Frontier • Care Models • Evidence‐Based Medicine • Integrated Behavioral Health © Brown Consulting Associates, Inc. 2019 2 © Brown Consulting Associates, Inc., 2019 Brown Consulting Associates, Inc. Bonnie R. Hoag, RN, CCS‐P, is the founder and a principal owner of Brown Consulting Associates, Inc., (BCA) which was established in 1989. Bonnie has served as a national physician office consultant and seminar speaker for a variety of firms, including St. Anthony Publishing and Consulting in Alexandria, Virginia and Medical Learning Inc. in Minneapolis, Minnesota. Bonnie has presented seminars to groups including, Montana Medical Association, Idaho Medical Association, Iowa Medical Society, and National Association of Community Health Centers and others. Since 1990 she and other BCA consultants have provided unique training to Federally Qualified Health Centers (FQHCs) and Rural Health Clinics (RHCs) throughout the U.S. Nearly 50 percent of BCA’s clinic client‐base is FQHC facilities. She has provided FQHC/RHC seminars for HRSA, National Health Service Corp and various Regional Primary Care Associations. Bonnie is honored to serve on the board of directors of a large community health center in her community. With her guidance, Brown Consulting Associates, Inc. -
Physician's Office Assistant with Electronic Health Records
C.15.9 (Created 07-17-2017) AUBURN OFFICE OF P ROFESSIONAL AND CONTINUING ED UCATION Office of Professional & Continuing Education 301 OD Smith Hall | Auburn, AL 36849 http://www.auburn.edu/mycaa Contact: Shavon Williams | 334-844-3108; [email protected] Auburn University is an equal opportunity educational institution/employer. Education & Training Plan Physicians’ Office Assistant with Electronic Health Records Management Certificate Program with Clinical Externship Student Full Name: Start Date: End Date: Program includes National Certification & a Clinical Externship Opportunity Mentor Supported Physicians’ Office Assistant with Electronic Health Records Management (EHRM) Certificate Program with Clinical Externship Course Code: AU-PO 10 Program Duration: 6 Months Contact Hours: 780 Student Tuition: $3,950 This Physicians’ Office Assistant with Electronic Health Records Management (EHRM) training program combines two in-demand healthcare certifications with important front office Microsoft end user computer skills. The Physician’s Office Assistant Profession with EHRM Medical administrative assistants primarily work in doctor’s offices, clinics, outpatient settings, hospitals, and other healthcare settings. Medical administrative assistants, medical secretaries, and medical records clerks are all positions in great demand. The growth and the complexity of the U.S. healthcare system have resulted in a substantial increase in the need for qualified medical administrative assistants. Employment of a medical assistant is expected to grow an impressive 34% by 2018. The Electronic Health Record Management (EHRM) Profession Access to health information is changing the ways doctors care for patients. With the nation’s healthcare system moving to the electronic medical record, numerous employment opportunities exist for medical assistants, health information systems staff, patient registration professionals and other related positions. -
Patient Safety: Achieving a New Standard for Care
THE NATIONAL ACADEMIES PRESS This PDF is available at http://nap.edu/10863 SHARE Patient Safety: Achieving a New Standard for Care DETAILS 550 pages | 6 x 9 | HARDBACK ISBN 978-0-309-09077-3 | DOI 10.17226/10863 AUTHORS BUY THIS BOOK Philip Aspden, Janet M. Corrigan, Julie Wolcott, Shari M. Erickson, Editors, Committee on Data Standards for Patient Safety FIND RELATED TITLES Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Patient Safety: Achieving a New Standard for Care PATIENT SAFETY ACHIEVING A NEW STANDARD FOR CARE Committee on Data Standards for Patient Safety Board on Health Care Services Philip Aspden, Janet M. Corrigan, Julie Wolcott, and Shari M. Erickson, Editors Copyright National Academy of Sciences. All rights reserved. Patient Safety: Achieving a New Standard for Care THE NATIONAL ACADEMIES PRESS 500 Fifth Street, N.W. Washington, DC 20001 NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the Na- tional Academy of Sciences, the National Academy of Engineering, and the Institute of Medi- cine. -
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. -
EHRM Certificate Program with Clinical Externship C5 (Created 9/3/15)
C.15.5 (Created 07-17-2017) AUBURN OFFIC E OF P ROFESS IONAL A ND CONTINUI NG E D UCATION Office of Professional & Continuing Education 301 OD Smith Hall | Auburn, AL 36849 http://www.auburn.edu/mycaa Contact: Shavon Williams | 334-844-3108; [email protected] Auburn University is an equal opportunity educational institution/employer. Education & Training Plan Electronic Health Records Management Certificate Program with Clinical Externship Student Full Name: Start Date: End Date: Program includes National Certification & a Clinical Externship Opportunity Mentor Supported Electronic Health Records Management (EHRM) Certificate Program with Clinical Externship Course Code: AU-EH 06 Program Duration: 4 Months Contact Hours: 375 Student Tuition: $3,000 The Electronic Health Record Management Profession Access to health information is changing the ways doctors care for patients. With the nation’s healthcare system moving to the electronic medical record, numerous employment opportunities exist for medical assistants, health information systems staff, patient registration professionals and other related positions. Healthcare professionals with the ability to understand, update and maintain the electronic health record are in great demand. The Electronic Health Record Management Program This program prepares students to understand and use electronic records in a medical practice. Course reviews the implementation and management of electronic health information using common electronic data interchange systems and maintaining the medical, legal, accreditation and regulatory requirements of the electronic health record. This Electronic Health Record (EHR) Management program prepares students to understand and use electronic records in a medical practice. Course reviews the implementation and management of electronic health information using common electronic data interchange systems and maintaining the medical, legal, accreditation and regulatory requirements of the electronic health record. -
Sharing Valuesets, Codes, and Maps (SVCM)
Integrating the Healthcare Enterprise 5 IHE IT Infrastructure (ITI) Technical Framework Supplement 10 Sharing Valuesets, Codes, and Maps (SVCM) HL7® FHIR® Release 4 Using Resources at FMM Level 3 - Normative 15 Revision 1.2 – Trial Implementation 20 Date: June 4, 2020 Author: ITI Technical Committee Email: [email protected] 25 Please verify you have the most recent version of this document. See here for Trial Implementation and Final Text versions and here for Public Comment versions. Copyright © 2020: IHE International, Inc. IHE IT Infrastructure Technical Framework Supplement –Sharing Valuesets, Codes, and Maps (SVCM) ______________________________________________________________________________ Foreword This is a supplement to the IHE IT Infrastructure Technical Framework V16.0. Each supplement 30 undergoes a process of public comment and trial implementation before being incorporated into the volumes of the Technical Frameworks. This supplement is published on June 4, 2020 for trial implementation and may be available for testing at subsequent IHE Connectathons. The supplement may be amended based on the results of testing. Following successful testing it will be incorporated into the IT Infrastructure 35 Technical Framework. Comments are invited and may be submitted at http://www.ihe.net/ITI_Public_Comments.. This supplement describes changes to the existing technical framework documents. “Boxed” instructions like the sample below indicate to the Volume Editor how to integrate the relevant section(s) into the relevant Technical Framework volume. 40 Amend Section X.X by the following: Where the amendment adds text, make the added text bold underline. Where the amendment removes text, make the removed text bold strikethrough. When entire new sections are added, introduce with editor’s instructions to “add new text” or similar, which for readability are not bolded or underlined.