Social Informatics: Natural Tools for Students' Information Training in the Conditions of Embodied and Mental Approaches Being Employed
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Artificial Intelligence in Health Care: the Hope, the Hype, the Promise, the Peril
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, Editors WASHINGTON, DC NAM.EDU PREPUBLICATION COPY - Uncorrected Proofs NATIONAL ACADEMY OF MEDICINE • 500 Fifth Street, NW • WASHINGTON, DC 20001 NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM). Publication by the NAM worthy of public attention, but does not constitute endorsement of conclusions and recommendationssignifies that it is the by productthe NAM. of The a carefully views presented considered in processthis publication and is a contributionare those of individual contributors and do not represent formal consensus positions of the authors’ organizations; the NAM; or the National Academies of Sciences, Engineering, and Medicine. Library of Congress Cataloging-in-Publication Data to Come Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America. Suggested citation: Matheny, M., S. Thadaney Israni, M. Ahmed, and D. Whicher, Editors. 2019. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. NAM Special Publication. Washington, DC: National Academy of Medicine. PREPUBLICATION COPY - Uncorrected Proofs “Knowing is not enough; we must apply. Willing is not enough; we must do.” --GOETHE PREPUBLICATION COPY - Uncorrected Proofs ABOUT THE NATIONAL ACADEMY OF MEDICINE The National Academy of Medicine is one of three Academies constituting the Nation- al Academies of Sciences, Engineering, and Medicine (the National Academies). The Na- tional Academies provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. -
Annual Report 2018–2019 Our Vision
ANNUAL REPORT 2018–2019 OUR VISION We shape tomorrow. We confront problems and create solutions. We expand information’s impact and technology’s potential. Together, our faculty, staff, students, and alumni make the world a better place—day by day, project by project, leap by leap. LEADERSHIP Raj Acharya Since its establishment in 2000, the Luddy School of Informatics, Computing, and Dean Engineering has built a reputation as one of the broadest of its kind. Our more than 3,000 students come from Indiana and around the world, and our unique blend Mathew Palakal of programs in informatics, computer science, intelligent systems engineering, Senior Executive Associate information and library science, data science, and more create an interdisciplinary, Dean collaborative environment where ideas thrive. Erik Stolterman Bergqvist Our forward-looking school is a mélange, a salad bowl of disparate but related Senior Executive Associate disciplines. That salad bowl provides us with a holistic taste of creativity and Dean innovation while preserving and enhancing the taste of the individual components. Esfandiar Haghverdi As we have grown exponentially through our first two decades, we have maintained Executive Associate Dean for our core values with an open-minded view of tomorrow, one that has allowed us to Undergraduate Education stay on the cutting edge of technology while anticipating what the future holds. David Leake We accomplished much during the 2018-19 school year. Our information and library Executive Associate Dean science program was ranked second in the world behind only Harvard by the 2018 Academic Ranking of World Universities. Researchers at our school garnered Kay Connelly $16.1 million in grants from the National Science Foundation, the National Institute Associate Dean for Research of Health, the National Cancer Institute, the Department of Defense, and other prestigious organizations, and our school ranks 12th in computer and information Karl F. -
Informatics: Integrating the Essentials Into Education and Practice Keywords
Title: WORKSHOP 4: Informatics: Integrating the Essentials Into Education and Practice Keywords: education, essentials and informatics Description/Overview: The session will focus on two key concepts to informatics in nursing. The integration of the informatics essentials into education and the opportunities to use informatics based research to achieve the quad aim of improved outcomes, decreased cost, improved patient satisfaction and improved provider satisfaction. Abstract Text: Informatics happens at the intersection of people and technology. Embedded within the American Associations of Colleges of Nursing’s Essentials documents are clear, leveled objectives on achieving informatics competencies prior to graduating from a BSN, MSN or DNP program. These essentials are aimed at equipping students with advanced tools to implement in order to drive change. From the baccalaureate level, graduates must have basic competence using technologies that support patient care interventions as well as integrating clinical support systems that guide practice. The master’s level essentials then build upon this foundations and considerations are made for the evaluation of technology and data to improve health outcomes. At the doctoral level, graduates are prepared as leaders to use these systems to extract data and evaluate and monitor outcomes of care systems. This includes quality improvement aimed at the critical elements for patient care technology. As each degree level, there is an emphasis on effective communication and ethical behaviors in the use of technology in patient care. This session will focus on two key concepts to informatics in nursing. The first is the integration of the informatics essentials into education. The challenge in nursing education is how to effectively integrate informatics within the context of curriculum when there are competing interest for time, attention and clinical experiences. -
Informatics for Secondary Education
Intergovernmental Informatics Programme Division of Higher Education International Federation for Information Processing (IFIP) ED/94/WS/ 12 The opinions expressed in this document are those of the authors and do not necessarily reflect the views of the UNESCO Secretariat. INFORMATICS FOR SECONDARY EDUCATION A Curriculum for Schools Contents Introduction—Overall Aim and Justification . .5 Section 1—The Curriculum Format . .7 Section 2—Main Objectives . .9 Section 3—The Curriculum Units . .11 Section 4—General Implementation Issues . .17 Appendices Appendix 1—Computer Literacy Units . .23 Appendix 2—Informatics in Other Disciplines . .77 Appendix 3—General Advanced Level Units . .81 Appendix 4—Vocational Advanced Level Units . .93 Appendix 5—Bibliography . .103 Curriculum Main Curriculum General Introduction Format Objectives Units Implementation Appendices Issuses Computer Literacy Units Core Module INFORMATICS FOR SECONDARY EDUCATION A Curriculum for Schools Introduction General Aim UNESCO aims to ensure that all countries, both developed and developing, have access to the best educational facilities necessary to prepare young people to play a full role in modern society and to contribute to wealth creation. Information technology (IT) has become, within a very short time, one of the basic building blocks of modern industrial society. Understanding IT and mastering the basic skills and concepts of IT are now regarded by many countries as part of the core of education alongside reading and writing. This area of study goes under the all-embracing name of informatics. To give positive, practical help to all UNESCO countries, the International Federation for Information Processing (IFIP) has been asked to specify a curriculum in informatics for secondary education based on the experience of its specialist working group (WG 3.1) and input from other selected experts. -
TIGER Summit
TIGER summit EvIdEncE and InfoRmatics TRansfoRmInG nuRsInG ocTober 31–novEmber 1, 2006 unIfoRmEd ServIcEs unIversity of ThE HealTh sciencEs BethEsda, maRyland SUMMARy REPoRT conTacT us: [email protected] foR TIGER summit InfoRmation: www.TigerSummit.com ThE TIGER SUMMIT REPoRT FORMAT This report provides the context for the Summit, descriptions of each of the activities over the two days, notes on the participant experience, and photographs of the event, as well as insights and reflections from speakers. The intention of this format is to provide those who did not have an opportunity to attend a high-level understanding of the process that occurred over the two days to achieve the Summit objectives and outcomes. It is not intented to be a comprehensive document such as a white paper. Rather, the content enclosed incorporates descriptive paragraphs and phrases, as well as statements and quotes captured real-time. There is no aspect of our profession that will be untouched by the informatics revolution in progress. — angela barron mcbride Distinguished Professor and University Dean Emerita Indiana University School of Nursing © All rights reserved, 2006. T.I.G.E.R. Technology Informatics Guiding Education Reform PaGE 2 TIGER InITIaTIvE Our nation’s nursing leaders and advocates are working together to catalyze a dynamic, sustainable, and productive relationship between the Alliance for Nursing Informatics (ANI), representing 20 nursing informatics professional societies, and the major nursing professional organizations that collectively represent more than 2,000,000 nurses. TIGER vIsION Our vision is to enable nurses to use informatics tools, principles, theories, and practices to make healthcare safer, more effective, efficient, patient-centered, timely, and equitable by interweaving enabling technologies transparently into nursing practice and education, making information technology the stethoscope for the 21st century. -
14 School Subject Informatics (Computer Science) in Russia: Educational Relevant Areas
i i i i School Subject Informatics (Computer Science) in Russia: Educational Relevant Areas EVGENIY KHENNER and IGOR SEMAKIN, Perm State National Research University, Russia This article deals with some aspects of studying Informatics in Russian schools. Those aspects are part of the ‘third dimension’ of the Darmstadt model (they are also projected on the other two dimensions of this model) and include evolution of the subject, regulatory norms conforming to the Federal Educational Standards, the learning objectives, the required learning outcomes, and the Unified National Examination in Informatics, which is required for admission to a number of university programs. It is interesting to note that correspondence between requirements for the outcomes of learning Informatics in Russian school and the requirements of K-12 Computer Science Standards (USA) is quite satisfactory. It is noteworthy that the relatively high level of school education in Informatics in Russia is determined by the well-established methodological system with a 30-year history, the subject’s being on the list of core disciplines at school, as well as the existence of a state-sponsored system of education teachers of Informatics. Categories and Subject Descriptors: K.3.2 [Computers and Education]: Computer and Information Science Education—Computer science education General Terms: Algorithms, Languages, Security Additional Key Words and Phrases: History of Informatics in school, education policies, educational standards, qualification and professional experience of teachers, learning objectives and outcomes, structural components of Informatics, curriculum issues, Unified National Exam, extracurricular activities, textbooks, didactic software ACM Reference Format: Khenner, E. and Semakin, I. 2014. School subject informatics (computer science) in Russia: Educational relevant areas. -
B.A. in Computing and Informatics 856-256-4805
College of Science and Mathematics Contact Department of Computer Science Robinson Hall B.A. in Computing and Informatics 856-256-4805 www.rowan.edu/computerscience Curriculum About this program The curriculum for the major is divided into The Bachelor of Arts in Computing and Informatics is a new degree designed for three major areas: Foundation courses, Basic students who are interested in pursuing careers in information technology which requires Core Areas, and Computing and Informatics a solid understanding of the principles of computing – but not the underpinnings of Electives. computer science theory and mathematics. Such careers include, but are not limited to: The Foundation courses represent a sequence of courses primarily focused on programming Programmers Software QA / Testing Engineers skills across a variety of infrastructure Infrastructure Administrators Computer Service Coordinators platforms. Introductory courses will expose Support Technicians Deployment Technicians students to programming concepts in two different languages (e.g.,, Java, C++ or (e.g., Help Desk support) (e.g., end-user support for system releases) Python). Students will then master more Technical Application Trainers Technical Documentation Specialists complex programming via the completion of two Advanced Programming Workshops. How does this program differ from the B.S. in Computer Students will also be required to complete the Science? Basic Core Areas which cover data structures, In comparison to the existing B.S. in Computer Science, this -
Social Informatics
Social Informatics Social Informatics: Past, Present and Future Edited by Pnina Fichman and Howard Rosenbaum Social Informatics: Past, Present and Future Edited by Pnina Fichman and Howard Rosenbaum This book first published 2014 Cambridge Scholars Publishing 12 Back Chapman Street, Newcastle upon Tyne, NE6 2XX, UK British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Copyright © 2014 by Pnina Fichman, Howard Rosenbaum and contributors All rights for this book reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior permission of the copyright owner. ISBN (10): 1-4438-5576-6, ISBN (13): 978-1-4438-5576-1 TABLE OF CONTENTS Contributor List ........................................................................................ vii Reviews ...................................................................................................... x Introduction .............................................................................................. xii Acknowledgements .................................................................................. xx Part I: Past Chapter One ................................................................................................ 2 The Past: Social Informatics as a Scientific and Intellectual Movement Howard Rosenbaum Chapter Two ............................................................................................ -
ALGORITHMS of INFORMATICS Volume 3 Antoncom Budapest, 2011
ALGORITHMS OF INFORMATICS Volume 3 AnTonCom Budapest, 2011 This electronic book was prepared in the framework of project Eastern Hungarian Informatics Books Repository no. TÁMOP-4.1.2-08/1/A-2009-0046. This electronic book appeared with the support of European Union and with the co-financing of European Social Fund. Editor: Antal Iványi Authors of Volume 3: Béla Vizvári (Chapter 24), Antal Iványi and Shariefuddin Pirzada (Chapter 25), Zoltán Kása, and Mira-Cristiana Anisiu (Chapter 26), Ferenc Szidarovszky and László Domoszlai, (Chapter 27), László Szirmay-Kalos and László Szécsi (Chapter 28), Antal Iványi (Chapter 29), Shariefuddin Pirzada, Antal Iványi and Muhammad Ali Khan (Chapter 30) Validators of Volume 3: Gergely Kovács (Chapter 24), Zoltán Kása (Chapter 25), Antal Iványi (Chapter 26), Sándor Molnár (Chapter 27), György Antal (Chapter 28), Zoltán Kása (Chapter 29), Zoltán Kása (Chapter 30), Anna Iványi (Bibliography) c 2011 AnTonCom Infokommunikációs Kft. Homepage: http://www.antoncom.hu/ Contents Introduction to Volume 3 ........................... 1207 24.The Branch and Bound Method ..................... 1208 24.1. An example: the Knapsack Problem ................. 1208 24.1.1. The Knapsack Problem .................... 1209 24.1.2. A numerical example ...................... 1211 24.1.3. Properties in the calculation of the numerical example . 1214 24.1.4. How to accelerate the method ................. 1216 24.2. The general frame of the B&B method ................ 1217 24.2.1. Relaxation ............................ 1217 24.2.2. The general frame of the B&B method ............ 1224 24.3. Mixed integer programming with bounded variables ......... 1229 24.3.1. The geometric analysis of a numerical example . 1230 24.3.2. The linear programming background of the method . -
New Technology in Nursing Education and Practice
IOSR Journal of Nursing and Health Science (IOSR-JNHS) e-ISSN: 2320–1959.p- ISSN: 2320–1940 Volume 6, Issue 6 Ver. I. (Nov. Dec .2017), PP 29-38 www.iosrjournals.org New Technology in Nursing Education and Practice Ragaa Gasim Ahmed Mohmmed1, Hanan Mohammed Mohammed2,4, Abeer El-Said Hassane El-sol3,4 1 (Assistant professor of Pediatric Nursing, Faculty of Applied Medical Sciences, Nursing Department, Al-Baha University, Saudi – Arabia) 2 (Assistant Professor of Medical-Surgical Nursing Department, Faculty of Nursing, Ain Shams University, Egypt) 3 (Lecturer of Medical-Surgical Nursing, Medical Surgical Department, Faculty of Nursing, Shibin Elkom, Menoufia University, Egypt) 4 (Faculty of Applied Medical Sciences, Nursing Department, Al-Baha University, Saudi – Arabia) Ragaa Gasim Ahmed Mohmmed Corresponding Author: [email protected] Abstract: Technology is changing the world at warp speed and nowhere is this clearer than in health care settings. In an increasingly crowded world, people rightly expect health care to meet their needs quickly and, where possible, tailored to their needs. Technology helps to deliver these elements, putting the power back in the hands of the patient. Health care is growing increasingly complex, and most clinical research focuses on new approaches to diagnosis and treatment. In contrast, relatively little effort has been targeted at the perfection of operational systems, which are partly responsible for the well-documented problems with medical safety. If medicine is to achieve major gains in quality, it must be transformed, and information technology will play a key part, especially with respect to safety. Technological innovation in health care is an important driver of cost growth. -
Integrated Biomedical and Clinical Research Informatics for Translational Medicine and Therapeutics”
“Integrated Biomedical and Clinical Research Informatics for Translational Medicine and Therapeutics” J. Richard Landis, PhD Robert M. Curley, MS Gregg Fromell, MD Center for Clinical Epidemiology and Biostatistics (CCEB) Office of Human Research (OHR) University of Pennsylvania School of Medicine CCEB Philadelphia, PA 19104-6021 http://cceb.med.upenn.edu/main/index.html CCEB 2 http://www.med.upenn.edu/ohr The Office of Human Research (OHR) seeks to promote human research for the advancement of healthcare while ensuring the highest level of research participant safety and facilitating the highest quality research by: • Realizing the best research standards through adherence to University and government research policies and regulations • Supporting investigators and research teams through process improvement, innovative technologies, and education and training initiatives • Propagating best operational practices to maximize the efficiencies of research activities CCEB • Collaborating with University organizations involved with human 3 research Introduction • NIH increasingly promotes translational collaborations among basic science and clinical research programs • SCCORs, PPGs, U01s illustrate interplay of translational science, requiring data integration across the entire research enterprise (basic, translational, clinical) • Biostatistics -- fundamental challenge at the data analytic stage, incorporating data elements from all sources into comprehensive risk and/or efficacy models • Data management systems -- typically isolated, not -
Building Blocks of Nursing Informatics
© Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC sectionNOT FOR SALE i OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Building Blocks of © Jones & Bartlett Nursing InformaticsLearning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION Chapter 1 Nursing Science and the Foundation of Knowledge Chapter 2 Introduction to Information, Information Science, and Information Systems © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC Chapter NOT3 Compu FORter SALE Science OR and DISTRIBUTION the Foundation of Knowledge ModelNOT FOR SALE OR DISTRIBUTION Chapter 4 Introduction to Cognitive Science and Cognitive Informatics Chapter 5 Ethical Applications of Informatics © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC © Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION NOT FOR SALE OR DISTRIBUTION © Jones & Bartlett Learning, LLC© Jones & Bartlett Learning, LLC.© NOTJones FOR