...designed, implemented and deployed to the national e-government data center (central node) and 79 HPOs in the country (local nodes). 2.3. Semantic Standardization In the early phase of the project, it was decided to rely on the HL7 CDA3 level 3 document architecture, as the most detailed and sophisticated representation...
Words: 1386 - Pages: 6
...of the nursing staff, bringing concerns to the table. | Determining if the usability of the system from the viewpoint of the nurses (the largest number of users) is imperative. | Chief Medical Officer | Will be the voice of the physicians, bringing concerns to the table. | Determining if the usability of the system from the viewpoint of the doctors is imperative. | Project Committee Interoperability The National Alliance for Health Information Technology defined interoperability as the ability of different information technology systems and software applications to communicate, to exchange data accurately, effectively, and consistently, and to use the information that has been exchanged (Olaronke & Rhoda, 2013) Interoperability is important because it enables medical organizations to operate much more efficiently; it makes it easier for staff to manipulate information quickly; it enhances safety and the quality of care ( What is Interoperability, 2014). There are three levels of interoperability; 1) Foundational; 2) Structural, and 3) Semantic. Foundational Interoperability lets data transmitted by one healthcare IT (HIT) system to be received by another. At this basic level, however, data may not be interpreted by the receiving system. In the second level, structural, defines the syntax...
Words: 1362 - Pages: 6
...1. An Electronic Health Record (EHR) and an Electronic Medical Record (EMR), both deal with electronic data that can be created, controlled, and accessed. An EMR is a computerized record of one physician’s encounter with a patient over time, such as a doctor’s office, or clinic. Whereas, an EHR is a computerized lifelong healthcare record for an individual that incorporates data from providers who have treated the individual. Authorized users have access to a patients files at more than one location. Our text defines an EHR as “An electronic record of health related information on an individual that conforms to nationally recognized interoperability standards and that can be created, managed, and consulted by authorized clinicians and staff...
Words: 825 - Pages: 4
...2. Select a standard used to share data among different health information systems and explain how it works, tell when it became a standard, and identify the standard's authorizing body. Use of at least one resource other than the course materials is required. (20 points) With the advent of EHR implementation, of the problem that developed what that with so much different systems and vendors can they system communicate and share data with each other. The solution was to have standards. In healthcare information technology (HIT), standards provide a common language and set of expectations that enable interoperability between systems and/or devices. The standard allows data to be shared between clinician, lab, hospital, pharmacy, and patient regardless of application or application vendor. This was necessary in order to meet the goal to improve healthcare delivery....
Words: 543 - Pages: 3
...diseases. The spreadsheet is utilized to map the standardized terminology codes from one to another, particularly, Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT); this allows the reliable processing of clinical information in electronic health records (EHR)., International Statistical Classification of Diseases and Related Health Problems (ICD-9CM) was the official system of assigning codes to diagnoses and procedures associated with hospital utilization in the United States. (ICD-10) is the 10th revision; it comprises codes for diseases, signs and symptoms, atypical findings, complaints, social circumstances, and external causes of injury or diseases. NCI Thesaurus (NCIt) provides reference terminology for many NCI and other systems. It covers vocabulary for clinical care, translational and basic research, and public information and administrative activities. NCI Metathesaurus (NCIm) is a wide-ranging biomedical terminology database that covers most terminologies used by NCI for clinical care, translational and basic research, and public information and administrative activities. United Medical Language System (UMLS) integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including electronic health records. The purpose of mapping is to provide a link between the terminologies to utilize data collected, to hold...
Words: 868 - Pages: 4
...national and regional eHealth solutions in EU and EEA Member States. Table of Contents 1. The National Health System 1 1.1. Organizational structure 1 1.2. Some facts & figures 1 2. What is eHealth, definitions, areas of application, benefits 5 2.1. What is eHealth 5 2.2. Forms of eHealth 5 2.3. Benefits of eHealth 6 3. eHealth framework in European Union countries 7 3.1. eHealth Action Plan 2012 - 2020 7 3.2. eHealth in the European Countries 8 4. Application of eHealth practices 10 4.1. Electronic Health records (EHR) 10 4.1.1. Examples of current EHR use 10 4.1.2. Electronic Health Record in Greece 12 4.1.3. Summing up 14 4.2. Interoperability 15 4.2.1. Defining Interoperability in Healthcare Systems 15 4.2.2. Most widely used contemporary Interoperability standards in Healthcare 16 4.2.3. EPSOS (European Patients Smart Open Services) 17 4.2.4. Interoperability in Greece Healthcare Informatics 18 4.3. Telemedicine & Telecare 19 4.3.1. Types of Telemedicine 20 4.3.2. Services Provided by Telemedicine 20 4.3.3. What Delivery Mechanisms Can Be Used? 20 4.3.4. Telemedicine in Greece...
Words: 36524 - Pages: 147
...of problems due to their mode of operations. Amongst the problems are improper modes of data storage, insecurity of medical records, difficulty in accessing healthcare services, high cost, and inaccurate diagnosis. Recently research has identified Cloud Computing (CC) as a new and substantial business model capable of providing efficient services that can benefit the healthcare industry. The aim of this paper is to study the existing cloud computing applications in healthcare industry and propose optimal techniques and solution on the basis of analysis. Keywords – Cloud Computing (CC); Healthcare Information Technology (HIT); Healthcare Organizations (HCOs); Cloud Service Models; Cloud Deployment Models; Electronic Health Records (EHR) I. Introduction Improper modes of data storage, insecurity of patient medical records, difficulty in accessing quality healthcare services, high cost of medical services, and inaccurate diagnosis and therapy procedures are amongst the common problems that Healthcare...
Words: 4070 - Pages: 17
...| Advantage | Disadvantage | Aggregate Data | | | Comparative Data | | | Patient-centric Data | | | Transformed-based Data | | | Aggregate data: Data extracted from individual health records and combined to form de-identified information about groups of patients that can be compared and analyzed Comparative data: Data that are used for benchmarking or other comparisons within or across healthcare organizations. continuous variables are either interval or ratio level. With continuous variables there are no gaps in the measurement data. For example, an individual’s weight may be 120 or 121 or any weight between 120 and 121. Continuous variables include fractions. Arithmetic operations—addition, subtraction, multiplication, and division—may be performed on continuous variables. Patient-centered medical home (PCMH): A program to provide comprehensive primary care that partners the physicians with the patient and his or her family to allow better access to healthcare and improved outcomes Patient-centered care involves transforming the relationship between providers and patients from the traditional model, in which a care provider prescribes the same treatment for most patients with similar diagnoses or conditions, into a patient-provider partnership that considers treatment options based on a patient’s unique concerns, preferences, and values. Patient-centered care also focuses on the health outcomes that are important to individual patients, addressing...
Words: 773 - Pages: 4
...Improve their Health and the Health Care System Appendix A: Performance Measures Appendix B: Programs, Initiatives, and Federal Engagement Appendix C: HIT Standards and HIT Policy Committees Information Flow Appendix E: Statutes and Regulations Appendix F: Goals, Objectives, and Strategies Appendix G: Acronyms ONC Acknowledgements Notes 3 6 7 8 21 28 36 49 51 65 67 70 74 77 77 78 Goal V: Achieve Rapid Learning and Technological Advancement 43 Federal Health IT Strategic Plan 3 Introduction he technologies collectively known as health information technology (health IT) share a common attribute: they enable the secure collection and exchange of vast amounts of health data about individuals. The collection and movement of this data will power the health care of the future. Health IT has the potential to empower individuals and increase transparency; enhance the ability to study care delivery and payment systems; and ultimately achieve improvements in care, efficiency, and population health. However, these technologies – including electronic health records (EHRs), personal health records (PHRs), telehealth devices, remote monitoring technologies, and mobile health applications – are remarkably underutilized today. In 2010, only 25 percent of physician offices and 15 percent of acute care hospitals took advantage of EHRs. i...
Words: 36638 - Pages: 147
...Project Title Use of Data mining by government agencies and practical applications (Describe the Data Mining technologies, how these are being used in government agencies. Provide practical applications and examples) Compiled By:- Sneha Gang (Student # - 84114) Karan Sawhney (Student # - 85471) Raghunath Cherancheri Balan (Student # - 86088) Sravan Yella (Student # - 87041) Mrinalini Shah (Student # - 86701) Use of Data mining by government agencies and practical applications * Abstract (Sneha Garg) With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is a process of inferring knowledge from such huge data. It is a modern and powerful tool, automatizing the process of discovering relationships and combinations in raw data and using the results in an automatic decision support. This project provides an overview of data mining, how government uses it quoting some practical examples. Data mining can help in extracting predictive information from large quantities of data. It uses mathematical and statistical calculations to uncover trends and correlations among the large quantities of data stored in a database. It is a blend of artificial intelligence technology, statistics, data warehousing, and machine learning. These patterns...
Words: 4505 - Pages: 19
...Austin and Boxerman’s Information Systems for Healthcare Management Seventh Edition Gerald L. Glandon Detlev H. Smaltz Donna J. Slovensky 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 [First Page] [-1], (1) Lines: 0 to 27 * 516.0pt PgVar ——— ——— Normal Page * PgEnds: PageBreak [-1], (1) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 AUPHA/HAP Editorial Board Sandra Potthoff, Ph.D., Chair University of Minnesota Simone Cummings, Ph.D. Washington University Sherril B. Gelmon, Dr.P.H., FACHE Portland State University Thomas E. Getzen, Ph.D. Temple University Barry Greene, Ph.D. University of Iowa Richard S. Kurz, Ph.D. Saint Louis University Sarah B. Laditka, Ph.D. University of South Carolina Tim McBride, Ph.D. St. Louis University Stephen S. Mick, Ph.D. Virginia Commonwealth University Michael A. Morrisey, Ph.D. University of Alabama—Birmingham Dawn Oetjen, Ph.D. University of Central Florida Peter C. Olden, Ph.D. University of Scranton Lydia M. Reed AUPHA Sharon B. Schweikhart, Ph.D. The Ohio State University Nancy H. Shanks, Ph.D. Metropolitan State College of Denver * [-2], (2 Lines: 2 59.41 ——— ——— Normal * PgEnds [-2], (2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 [-3], (3) Lines:...
Words: 123678 - Pages: 495
...ETHICS IN INFORMATION TECHNOLOGY Third Edition This page intentionally left blank ETHICS IN INFORMATION TECHNOLOGY Third Edition George W. Reynolds Australia • Brazil • Japan • Korea • Mexico • Singapore • Spain • United Kingdom • United States Ethics in Information Technology, Third Edition by George W. Reynolds VP/Editorial Director: Jack Calhoun Publisher: Joe Sabatino Senior Acquisitions Editor: Charles McCormick Jr. Senior Product Manager: Kate Hennessy Mason Development Editor: Mary Pat Shaffer Editorial Assistant: Nora Heink Marketing Manager: Bryant Chrzan Marketing Coordinator: Suellen Ruttkay Content Product Manager: Jennifer Feltri Senior Art Director: Stacy Jenkins Shirley Cover Designer: Itzhack Shelomi Cover Image: iStock Images Technology Project Manager: Chris Valentine Manufacturing Coordinator: Julio Esperas Copyeditor: Green Pen Quality Assurance Proofreader: Suzanne Huizenga Indexer: Alexandra Nickerson Composition: Pre-Press PMG © 2010 Course Technology, Cengage Learning ALL RIGHTS RESERVED. No part of this work covered by the copyright herein may be reproduced, transmitted, stored or used in any form or by any means graphic, electronic, or mechanical, including but not limited to photocopying, recording, scanning, digitizing, taping, Web distribution, information networks, or information storage and retrieval systems, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission...
Words: 204343 - Pages: 818
...CONTENTS: CASE STUDIES CASE STUDY 1 Midsouth Chamber of Commerce (A): The Role of the Operating Manager in Information Systems CASE STUDY I-1 IMT Custom Machine Company, Inc.: Selection of an Information Technology Platform CASE STUDY I-2 VoIP2.biz, Inc.: Deciding on the Next Steps for a VoIP Supplier CASE STUDY I-3 The VoIP Adoption at Butler University CASE STUDY I-4 Supporting Mobile Health Clinics: The Children’s Health Fund of New York City CASE STUDY I-5 Data Governance at InsuraCorp CASE STUDY I-6 H.H. Gregg’s Appliances, Inc.: Deciding on a New Information Technology Platform CASE STUDY I-7 Midsouth Chamber of Commerce (B): Cleaning Up an Information Systems Debacle CASE STUDY II-1 Vendor-Managed Inventory at NIBCO CASE STUDY II-2 Real-Time Business Intelligence at Continental Airlines CASE STUDY II-3 Norfolk Southern Railway: The Business Intelligence Journey CASE STUDY II-4 Mining Data to Increase State Tax Revenues in California CASE STUDY II-5 The Cliptomania™ Web Store: An E-Tailing Start-up Survival Story CASE STUDY II-6 Rock Island Chocolate Company, Inc.: Building a Social Networking Strategy CASE STUDY III-1 Managing a Systems Development Project at Consumer and Industrial Products, Inc. CASE STUDY III-2 A Make-or-Buy Decision at Baxter Manufacturing Company CASE STUDY III-3 ERP Purchase Decision at Benton Manufacturing Company, Inc. CASE STUDY III-4 ...
Words: 239887 - Pages: 960
