DOCSLIB.ORG

Using Structural and Semantic Methodologies to Enhance Biomedical Terminologies Zhe He New Jersey Institute of Technology

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Using Structural and Semantic Methodologies to Enhance Biomedical Terminologies Zhe He New Jersey Institute of Technology New Jersey Institute of Technology Digital Commons @ NJIT Dissertations Theses and Dissertations Fall 2013 Using structural and semantic methodologies to enhance biomedical terminologies Zhe He New Jersey Institute of Technology Follow this and additional works at: https://digitalcommons.njit.edu/dissertations Part of the Computer Sciences Commons Recommended Citation He, Zhe, "Using structural and semantic methodologies to enhance biomedical terminologies" (2013). Dissertations. 144. https://digitalcommons.njit.edu/dissertations/144 This Dissertation is brought to you for free and open access by the Theses and Dissertations at Digital Commons @ NJIT. It has been accepted for inclusion in Dissertations by an authorized administrator of Digital Commons @ NJIT. For more information, please contact [email protected]. Copyright Warning & Restrictions The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or reproduction is not to be “used for any purpose other than private study, scholarship, or research.” If a, user makes a request for, or later uses, a photocopy or reproduction for purposes in excess of “fair use” that user may be liable for copyright infringement, This institution reserves the right to refuse to accept a copying order if, in its judgment, fulfillment of the order would involve violation of copyright law. Please Note: The author retains the copyright while the New Jersey Institute of Technology reserves the right to distribute this thesis or dissertation Printing note: If you do not wish to print this page, then select “Pages from: first page # to: last page #” on the print dialog screen The Van Houten library has removed some of the personal information and all signatures from the approval page and biographical sketches of theses and dissertations in order to protect the identity of NJIT graduates and faculty. ABSTRACT USING STRUCTURAL AND SEMANTIC METHODOLOGIES TO ENHANCE BIOMEDICAL TERMINOLOGIES by Zhe He Biomedical terminologies and ontologies underlie various Health Information Systems (HISs), Electronic Health Record (EHR) Systems, Health Information Exchanges (HIEs) and health administrative systems. Moreover, the proliferation of interdisciplinary research efforts in the biomedical field is fueling the need to overcome terminological barriers when integrating knowledge from different fields into a unified research project. Therefore well-developed and well-maintained terminologies are in high demand. Most of the biomedical terminologies are large and complex, which makes it impossible for human experts to manually detect and correct all errors and inconsistencies. Automated and semi-automated Quality Assurance methodologies that focus on areas that are more likely to contain errors and inconsistencies are therefore important. In this dissertation, structural and semantic methodologies are used to enhance biomedical terminologies. The dissertation work is divided into three major parts. The first part consists of structural auditing techniques for the Semantic Network of the Unified Medical Language System (UMLS), which serves as a vocabulary knowledge base for biomedical research in various applications. Research techniques are presented on how to automatically identify and prevent erroneous semantic type assignments to concepts. The Web-based adviseEditor system is introduced to help UMLS editors to make correct multiple semantic type assignments to concepts. It is made available to the National Library of Medicine for future use in maintaining the UMLS. The second part of this dissertation is on how to enhance the conceptual content of SNOMED CT by methods of semantic harmonization. By 2015, SNOMED will become the standard terminology for EHR encoding of diagnoses and problem lists. In order to enrich the semantics and coverage of SNOMED CT for clinical and research applications, the problem of semantic harmonization between SNOMED CT and six reference terminologies is approached by 1) comparing the vertical density of SNOMED CT with the reference terminologies to find potential concepts for export and import; and 2) categorizing the relationships between structurally congruent concepts from pairs of terminologies, with SNOMED CT being one terminology in the pair. Six kinds of configurations are observed, e.g., alternative classifications, and suggested synonyms. For each configuration, a corresponding solution is presented for enhancing one or both of the terminologies. The third part applies Quality Assurance techniques based on “Abstraction Networks” to biomedical ontologies in BioPortal. The National Center for Biomedical Ontology provides BioPortal as a repository of over 350 biomedical ontologies covering a wide range of domains. It is extremely difficult to design a new Quality Assurance methodology for each ontology in BioPortal. Fortunately, groups of ontologies in BioPortal share common structural features. Thus, they can be grouped into families based on combinations of these features. A uniform Quality Assurance methodology design for each family will achieve improved efficiency, which is critical with the limited Quality Assurance resources available to most ontology curators. In this dissertation, a family-based framework covering 186 BioPortal ontologies and accompanying Quality Assurance methods based on abstraction networks are presented to tackle this problem. USING STRUCTURAL AND SEMANTIC METHODOLOGIES TO ENHANCE BIOMEDICAL TERMINOLOGIES by Zhe He A Dissertation Submitted to the Faculty of New Jersey Institute of Technology in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Science Department of Computer Science January 2014 Copyright © 2014 by Zhe He ALL RIGHTS RESERVED . APPROVAL PAGE USING STRUCTURAL AND SEMANTIC METHODOLOGIES TO ENHANCE BIOMEDICAL TERMINOLOGIES Zhe He Dr. James Geller, Dissertation Co-Advisor (Date) Professor and Chair, Department of Computer Science, NJIT Dr. Yehoshua Perl, Dissertation Co-Advisor (Date) Professor, Department of Computer Science, NJIT Dr. Mei Liu, Committee Member (Date) Assistant Professor, Department of Computer Science, NJIT Dr. Michael Halper, Committee Member (Date) Professor and Program Director, Information Technology Program, NJIT Dr. Gai Elhanan, Committee Member (Date) Chief Medical Information Officer, Halfpenny Technologies, Inc. Dr. Chunhua Weng, Committee Member (Date) Assistant Professor, Department of Biomedical Informatics, Columbia University BIOGRAPHICAL SKETCH Author: Zhe He Degree: Doctor of Philosophy Date: January 2014 Undergraduate and Graduate Education: • Doctor of Philosophy in Computer Science, New Jersey Institute of Technology, Newark, NJ, 2014 • Master of Science in Computer Science, Columbia University in the City of New York, New York, NY, 2009 • Bachelor of Engineering in Computer Science and Technology, Beijing University of Posts and Telecommunications, Beijing, P. R. China, 2007 Major: Computer Science Publications: Zhe He, Yehoshua Perl, Gai Elhanan and James Geller. “Auditing the Extents of Top Semantic Types of the UMLS Semantic Network, ” to be submitted for journal publication. Zhe He, Charles Paul Morrey, Yehoshua Perl and James Geller. “Sculpting the UMLS Refined Semantic Network,” to be submitted for journal publication. Zhe He, Christopher Ochs, James Geller and Yehoshua Perl. “A Structural Meta- Ontology for Family-Based Quality Assurance Framework for Biomedical Ontologies in BioPortal, ” to be submitted for journal publication. Siviram Arabandi, Christopher Ochs, Zhe He, Yehoshua Perl and James Geller. “Quality Assurance for the Sleep Domain Ontology Using Abstraction Networks, ” to be submitted for journal publication. James Geller, Zhe He and Gai Elhanan. “Categorizing the Relationship between Structurally Congruent Concepts from Pairs of Terminologies, ” submitted for publication. iv Zhe He, Christopher Ochs, Ankur Agrawal, Yehoshua Perl, Dimitris Zeginis, Konstantinos Tarabanis, Gai Elhanan, Michael Halper, Natasha Noy and James Geller. “A Family-based Framework for Supporting Quality Assurance of Biomedical Ontologies in BioPortal,” Proceedings of AMIA 2013 Annual Symposium, November 16-20, Washington, D.C: 581-90. Zhe He, Christopher Ochs, Larisa Soldatova, Yehoshua Perl, Sivaram Arabandi and James Geller. “Auditing Excess Reuse of a Top Level Ontology for the Drug Discovery Investigation Ontology,” Proceedings of 2013 International Workshop on Vaccine and Drug Ontology Studies. July 7, 2013, Montreal, QC, Canada. James Geller, Christopher Ochs, Zhe He and Yehoshua Perl. “A Structural Meta- ontology for the BioPortal Ontologies,” Proceedings of Bio-ontologies 2013. July 20, 2013, Berlin, Germany. Christopher Ochs, Zhe He, Yehoshua Perl, Sivaram Arabanadi and James Geller. “Refining the Granularity of Abstraction Networks for the Sleep Domain Ontology,” Proceedings of the 4th International Conference on Biomedical Ontology. July 8-9, 2013, Montreal, QC, Canada: 84-9. Ankur Agrawal, Zhe He, Duo Wei, Michael Halper, Yehoshua Perl and Gai Elhanan. “The Readiness of SNOMED Problem List Concepts for Meaningful Use of EHRs,” Artificial Intelligence in Medicine, 2013. (58)2: 73-80. James Geller, Zhe He, Yehoshua Perl, C. Paul Morrey and Julia Xu. “Rule-Based Support
Load more

Recommended publications
  • 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).
    [Show full text]
  • 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
    [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]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • National Library of Medicine Programs and Services FY2013
    NATIONAL INSTITUTES OF HEALTH National Library of Medicine Programs and Services Fiscal Year 2013 US Department of Health and Human Services Public Health Service Bethesda, Maryland National Library of Medicine Catalog in Publication National Library of Medicine (US) National Library of Medicine programs and services.— Bethesda, Md.: The Library, [1978-] 1977 – v.: Report covers fiscal year. Continues: National Library of Medicine (US). Programs and Services. Vols. For 1977-78 issued as DHEW publication; no. (NIH) 78-256, etc.; for 1979-80 as NIH publication; no. 80-256, etc. Vols. 1981 – present Available from the National Technical Information Service, Springfield, Va. Reports for 1997 – present issued also online. ISSN 0163-4569 = National Library of Medicine programs and services. 1. Information Services – United States – Periodicals 2. Libraries, Medical – United States – Periodicals I. Title II. Title: National Library of Medicine programs & services III. Series: DHEW publication; no. 78-256, etc. IV. Series: NIH publication; no. 80-256, etc. Z 675.M4U56an DISCRIMINATION PROHIBITED: Under provisions of applicable public laws enacted by Congress since 1964, no person in the United States shall, on the ground of race, color, national origin, sex, or handicap, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any program or activity receiving Federal financial assistance. In addition, Executive Order 11141 prohibits discrimination on the basis of age by contractors and subcontractors in the performance of Federal contracts. Therefore, the National Library of Medicine must be operated in compliance with these laws and this executive order. ii CONTENTS Preface ........................................................................................................................................................................... v Office of Health Information Programs Development .................................................................................................
    [Show full text]
  • View Biographical Sketch [PDF]
    OMB No. 0925-0001/0002 (Rev. 08/12 Approved Through 8/31/2015) BIOGRAPHICAL SKETCH Provide the following information for the Senior/key personnel and other significant contributors. Follow this format for each person. DO NOT EXCEED FIVE PAGES. NAME: Rosenbloom, Samuel Trent, M.D., M.P.H. eRA COMMONS USER NAME (credential, e.g., agency login): rosenbst POSITION TITLE: Associate Professor; Vice Chair for Faculty Affairs EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.) DEGREE Completion Date FIELD OF STUDY INSTITUTION AND LOCATION (if applicable) MM/YYYY Northwestern University, Evanston, IL B.A. 06/1992 Mechanical Engineering Vanderbilt University School of Medicine, Nashville, M.D. 05/1996 Medicine TN Vanderbilt University School of Medicine, Nashville, MPH 12/2001 Public Health TN A. Personal Statement Dr. Rosenbloom is the Vice Chair for Faculty Affairs and an Associate Professor of Biomedical Informatics, Medicine, Pediatrics and Nursing at Vanderbilt University Medical Center. Dr. Rosenbloom is a nationally recognized investigator in the field of health information technology evaluation. His research has focused on studying how patients and healthcare providers interact with health information technologies. His work has been supported through extramural funding from the National Library of Medicine, the Patient Centered Outcomes Research Institute, the Agency for Healthcare Research and Quality and through subcontracts from the Department of Health and Human Services, the Department of Veterans' Affairs and the Center for Disease Control and Prevention. Dr. Rosenbloom’s work has resulted in lead and collaborating authorship on over 70 peer reviewed manuscripts, 6 book chapters and numerous posters, white papers and invited papers.
    [Show full text]
  • A Comparative Analysis of the Density of the SNOMED CT Conceptual
    G Model ARTMED-1389; No. of Pages 12 ARTICLE IN PRESS Artificial Intelligence in Medicine xxx (2015) xxx–xxx Contents lists available at ScienceDirect Artificial Intelligence in Medicine j ournal homepage: www.elsevier.com/locate/aiim A comparative analysis of the density of the SNOMED CT conceptual content for semantic harmonization a,∗ b c Zhe He , James Geller , Yan Chen a Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA b Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA c Department of Computer Information Systems, Borough of Manhattan Community College, City University New York, New York, NY 10007, USA a r t i c l e i n f o a b s t r a c t Article history: Objectives: Medical terminologies vary in the amount of concept information (the “density”) represented, Received 9 May 2014 even in the same sub-domains. This causes problems in terminology mapping, semantic harmonization Received in revised form 20 March 2015 and terminology integration. Moreover, complex clinical scenarios need to be encoded by a medical Accepted 25 March 2015 terminology with comprehensive content. SNOMED Clinical Terms (SNOMED CT), a leading clinical ter- minology, was reported to lack concepts and synonyms, problems that cannot be fully alleviated by using Keywords: post-coordination. Therefore, a scalable solution is needed to enrich the conceptual content of SNOMED Biomedical terminology CT. We are developing a structure-based, algorithmic method to identify potential concepts for enrich- Semantic interoperability ing the conceptual content of SNOMED CT and to support semantic harmonization of SNOMED CT with Semantic harmonization selected other Unified Medical Language System (UMLS) terminologies.
    [Show full text]
  • Health Informatics Standards: a View from Mid-America
    Review Paper c.J. McDonald, P.R. Review Paper Dexter, B. Takesue, J.M Overhage Regenstrieflnstitute for Health Care, Health Informatics Standards: Indiana University Medical Center, Indianapolis, Indiana, USA A View From Mid-America 1. Perspective behavior. Highway speed limits are a cently, everyone used their own idio­ familiar example. Most health syncratic codes to identify laboratory 'Those who develop standards face informatics message standards are tests and clinical measurements. Fur­ a number of problems and confusions. enabling. They provide a way to trans­ ther, health-care also deals with free For voluntary health informatics stan­ mit whatever information has been text, containing information which we dards efforts, the real problem might collected (e.g., a chestX-:ray report or cannot yet resolve into discrete items. be described as a reverse tragedy of a set of vital signs) to another medical A further challenge for medical data the commons[!]. In contrast to farin­ facility. By themselves they will not standards is the strict need to maintain ers on English commons, having more induce a particular behavior, such as privacy while simultaneously allowing information systems (cows) browsing the mandatory collection of a particu­ access by many health-care profes­ on the same informational commons lar set ofclinical variables wanted by a sionals, and the accompanying neces­ provides the most economic gain for regulatory agency. As a conse­ sity of carrying patient identifying in­ all. The tragedy is that for early adopt­ quence, regulatory agencies may dis­ formation along with the medical data. miss a voluntary informatics stan­ Banks only need to know account ers of standards the cost of putting their systems into the standard com­ dard and write their own very spe­ numbers, not individual persons.
    [Show full text]
  • Intergy Meaningful Use 2014 Stage 1 User Guide
    INTERGY MEANINGFUL USE 2014 STAGE 1 USER GUIDE Spring 2014 • • Intergy Meaningful Use 2014 User Guide 2 Copyright © 2014 Greenway Health, LLC. All rights reserved. This document and the information it contains are the confidential information of Greenway Health, LLC. (referred to hereinafter as “Greenway”). Neither this document nor the information it contains may be disclosed to any third party or reproduced, in whole or in part, without the express prior written consent of Greenway. Greenway reserves the right to change, without notice, product offerings, product specifications and the information in this document. This document supersedes any prior document containing similar subject matter with regard to the descriptions of features and functionality of product offerings. You may receive supplements to this document based on changes that may occur in the product. This document may not be reproduced in any form without prior written permission from Greenway. This document provides training material for the Greenway Intergy products. For a more detailed description of such products, please refer to online help or the appropriate technical product manual. This document is intended as an informational guide only and is not a guarantee of receipt of any funds federal, state or other entity funds. © Greenway Health, LLC. All rights reserved. Confidential and proprietary. Not for distribution except to authorized persons. Last Modified: 3/10/14 Intergy Meaningful Use 2014 User Guide 3 Table of Contents Introduction: Intergy and Meaningful
    [Show full text]
  • National Library of Medicine Programs and Services FY2011
    NATIONAL INSTITUTES OF HEALTH National Library of Medicine Programs and Services Fiscal Year 2011 US Department of Health and Human Services Public Health Service Bethesda, Maryland i ii National Library of Medicine Catalog in Publication National Library of Medicine (US) National Library of Medicine programs and services.— Bethesda, Md.: The Library, [1978-] 1977 – v.: Report covers fiscal year. Continues: National Library of Medicine (US). Programs and Services. Vols. For 1977-78 issued as DHEW publication; no. (NIH) 78-256, etc.; for 1979-80 as NIH publication; no. 80-256, etc. Vols. 1981 – present Available from the National Technical Information Service, Springfield, Va. Reports for 1997 – present issued also online. ISSN 0163-4569 = National Library of Medicine programs and services. 1. Information Services – United States – Periodicals 2. Libraries, Medical – United States – Periodicals I. Title II. Title: National Library of Medicine programs & services III. Series: DHEW publication; no. 78-256, etc. IV. Series: NIH publication; no. 80-256, etc. Z 675.M4U56an DISCRIMINATION PROHIBITED: Under provisions of applicable public laws enacted by Congress since 1964, no person in the United States shall, on the ground of race, color, national origin, sex, or handicap, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any program or activity receiving Federal financial assistance. In addition, Executive Order 11141 prohibits discrimination on the basis of age by contractors and subcontractors in the performance of Federal contracts. Therefore, the National Library of Medicine must be operated in compliance with these laws and this executive order. iii CONTENTS Preface ......................................................................................................................................................................... vi Office of Health Information Programs Development ............................................................................................
    [Show full text]