Global Strategy on Digital Health 2020-2025
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Public Health Informatics Profile Toolkit
Public Health Informatics Profile Toolkit Developing a Public Health Informatics Profile: A Toolkit for State and Local Health Departments to Assess their Informatics Capacity Developed By: The Minnesota Department of Health Supported by: The Public Health Informatics Institute & The Robert Wood Johnson Foundation Public Health Informatics Profile Toolkit Acknowledgements Developing a Public Health Informatics Profile: a Toolkit for State and Local Health Departments to Assess their Informatics Capacity The project was supported by the Robert Wood Johnson Foundation through an InformationLinks Grant to the Public Health Informatics Institute. The initial project (the Public Health Informatics Profile Assessment) was also funded by Robert Wood Johnson Foundation through their Common Ground grant program. The authors of the Public Health Informatics Toolkit wish to thank the many members of the Minnesota Department of Health for their time, their expertise, and for their contributions to the original Public Health Informatics Profile Assessment. Jennifer Ellsworth Fritz, Priya Rajamani, Martin LaVenture Minnesota Department of Health Principal Developers Bill Brand, Debra Robic Public Health Informatics Institute Editorial Reviewers For More Information Public Health Informatics Institute Visit www.phii.org Call toll-free (866)815-9704 E-mail [email protected] Minnesota Department of Health Visit www.health.state.mn.us/ehealth Call Priya Rajamani @ 651-201-4119 E-mail [email protected] Call Jennifer Ellsworth Fritz @ 651-201-3662 E-mail -
Benefits and Barriers for Adoption of Personal Health Records Brittany Vance Marshall University, [email protected]
Marshall University Marshall Digital Scholar Management Faculty Research Management, Marketing and MIS Spring 3-2015 Benefits and Barriers for Adoption of Personal Health Records Brittany Vance Marshall University, [email protected] Brent Tomblin Marshall University, [email protected] Jena Studney Marshall University Alberto Coustasse Marshall University, [email protected] Follow this and additional works at: http://mds.marshall.edu/mgmt_faculty Part of the Health and Medical Administration Commons, Health Information Technology Commons, and the Management Information Systems Commons Recommended Citation Vance, B., Tomblin, B., Studeny, J., & Coustasse A., (2015, March). Benefits nda barriers for adoption of personal health records. Paper presented at the 2015 Business and Health Administration Association Annual Conference, at the 51st Annual Midwest Business Administration Association International Conference, Chicago, IL. This Article is brought to you for free and open access by the Management, Marketing and MIS at Marshall Digital Scholar. It has been accepted for inclusion in Management Faculty Research by an authorized administrator of Marshall Digital Scholar. For more information, please contact [email protected]. BENEFITS AND BARRIERS FOR ADOPTION OF PERSONAL HEALTH RECORDS Brittany Vance, MS Alumni College of Business Marshall University Graduate College 100 Angus E. Peyton Drive South Charleston, WV 25303 Brent Tomblin, MS Alumni College of Business Marshall University Graduate College 100 Angus E. Peyton Drive South Charleston, WV 25303 Jana Studeny, RN-BC, MSHI, Alumni Healthcare Informatics Program College of Health Professions Marshall University One John Marshall Drive Huntington, WV 25755 [email protected] Alberto Coustasse, DrPH, MD, MBA, MPH – CONTACT AUTHOR Associate Professor College of Business Marshall University Graduate College 100 Angus E. -
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. -
Health Data As a Global Public Good
Health Data Governance Summit Pre-read: Health Data as a Global Public Good 30 June 2021 Global public goods Health Data Governance Summit Pre-read: Health Data as a Global Public Good Health data as a global public good The ODI has been working with WHO for the past month, holding discussions with 23 stakeholders and analysing 56 documents "Starkly and powerfully, the COVID-19 pandemic illustrates how critical "Despite progress in recent years, high-quality data are not routinely data use, with a human face, is to protecting lives & livelihoods. The collected in all settings, major health challenges are not adequately crisis is a wake-up call. We must accelerate a shift in our data and monitored, and effective interventions are not directed to the right analytics abilities: To respond to COVID-19 and build back better, to people, at the right time and at the right place. This impacts policies drive the Decade of Action for the SDGs, to amplify climate action, to and programmes and consequently, the health of entire populations. promote gender equality, to protect human rights, to advance peace Similarly, in order to meet the shared SDG commitment to “leave no-one and security, and to accelerate UN Reform – for greater impact on the behind”, we need disaggregated data to ensure equitable health ground." outcomes. This means we must strengthen comprehensive data systems, UN Secretary-General collaborate with other sectors, and apply innovative digital technologies to collect, analyse and use data to make informed decisions and deliver impact." WHO Director-General 2 Global public goods Health Data Governance Summit Pre-read: Health Data as a Global Public Good What are global public goods? "Global public goods are goods… whose benefits cross borders and are global in scope." - WHO Bulletin 2003 In traditional economic terms, public goods are have two key attributes: "Global public goods (GPGs) provide benefits to people in both rich and ● They are non-exclusionary: No one can be excluded from using poor countries. -
Digital Health in a Broadband Land: the Role of Digital Health Literacy Within Rural Environments Wuyou Sui1*, Danica Facca2
Health Science Inquiry Volume 11 | 2020 Digital health in a broadband land: The role of digital health literacy within rural environments Wuyou Sui1*, Danica Facca2 1Department of Kinesiology, Western University, London, ON, Canada 2Faculty of Information and Media Sciences, Western University, London, ON, Canada *Author for correspondence ([email protected]) Abstract: The rapid rise and widespread integration of digital technologies (e.g., smartphones, personal computers) into the fabric of our society has birthed a modern means of delivering healthcare, known as digital health. Through leveraging the accessibility and ubiquity of digital technologies, digital health represents an unprecedented level of reach, impact, and scalability for health- care interventions, known as digital behaviour change interventions (DBCIs). The potential benefits associated with employing DBCIs are of particular interest for populations that are disadvantaged to receiving traditional healthcare, such as rural popu- lations. However, several factors should be considered before implementing a DBCI into a rural environment, notably, digital health literacy. Digital health literacy describes the skills necessary to successful navigate and utilize a digital health solution (e.g., DBCI). Given their limited access to high-speed internet, higher cost associated for similar services, and poorer development of information and communication technologies (ICTs), most rural populations likely report lower digital health literacy – specif- ically, computer literacy, the ability to utilize and leverage digital technologies to solve problems. Hence, DBCIs should address this ‘digital divide’ between urban and rural populations before implementation. Practical solutions could include evaluating rural communities’ access to ICTs, needs assessments with rural community members, as well as integrating rural community stakeholders into the design of digital literacy education and interventions. -
Big Data in Health Care
A Series by 2016 From predicting disease and identifying targeted therapies and cures, to improving our overall quality of life, big data is transforming the way health care decisions are made and care is delivered. Big Data in Health Care is a recently published series of articles that brings you the stories behind the research and celebrates researchers and organizations for their commitment to improving health care. Please accept this complimentary copy as our way of thanking you for your commitment to advancing medicine and improving patients’ lives. founding sponsor co-sponsor www.RealWorldHealthCare.org CONTENTS Big Data in Health Care Is Big Data Good for our Health? You Bet. Here’s Why. 3 Speaking with Dr. Phillip Bourne, National Institutes of Health. 8 Speaking with Dr. Hallie Prescott . 11 Closing the Healthcare Gap: The Critical Role of Non-Identified Information . 14 Real World Health Care Interview with Dr. Bonnie Westra. 17 Big Data Declares a War on Cancer . 21 Speaking with Dr. Clifford Hudis. 25 Is Big Data Good for our Health? You Bet. Here’s Why. By Cameron Warren and Merav Yuravlivker The term “Big Data” is increasingly used in our everyday lives. But each mention of it means something different, unique to what we use it for and how we interact with it. Big Data is not information. It’s the raw resource that people can use to discover new insights. Just as raw crude needs to be refined to run a car, Big Data needs to be refined to provide useful insights. In 2001, Doug Laney, who currently works for the analyst firm Gartner, defined this raw resource in terms of its three ubiquitous attributes, “the 3 V’s” – Volume, Velocity, and Variety. -
Cybersecurity and the Digital-Health: the Challenge of This Millennium
healthcare Editorial Cybersecurity and the Digital-Health: The Challenge of This Millennium Daniele Giansanti Centre Tisp, Istituto Superiore di Sanità, Via Regina Elena 299, 00161 Roma, Italy; [email protected]; Tel.: +39-06-4990-2701 1. Cybersecurity The problem of computer security is as old as computers themselves and dates back decades. The transition from: (a) a single-user to multi-user assignment to the resource and (b) access to the computer resource of the standalone type to one of the types distributed through a network made it necessary to start talking about computer security. All network architectures, from peer to peer to client-server type, are subject to IT security problems. The term Cybersecurity has recently been introduced to indicate the set of procedures and methodologies used to defend computers, servers, mobile devices, electronic systems, networks and data from malicious attacks. Cybersecurity [1–3] is therefore applied to various contexts, from the economic one to that relating to mobile technologies and includes various actions: • Network security: the procedures for using the network safely; • Application Security: the procedures and solutions for using applications safely; • Information security: the management of information in a secure way and in a privacy- sensitive manner in accordance with pre-established regulations; • Operational security: the security in IT operations, such as, for example, in bank- type transactions; • Disaster recovery and operational continuity: the procedures for restarting after problems Citation: Giansanti, D. Cybersecurity that have affected the regular/routine operation of a system and to ensure operational and the Digital-Health: The Challenge continuity. For example, using informatic solutions such as an efficient disk mirroring of This Millennium. -
Digital Health and the Global Pandemic | 1
Introduction As the world grapples with the tragic COVID-19 pandemic, it is tempting to imagine a post-COVID future that includes some silver linings. As terrible as the situation is today, this calamity will lead to some lasting, positive changes, particularly in healthcare. Virtual Care (often referred to in common parlance as simply telemedicine, and we will use them interchangeably here) has emerged as the poster child for this line of thinking. Providers and patients have dramatically increased the use of telemedicine to ensure continued access to quality healthcare services while maintaining social distance and modulating the enormous burden on our healthcare workers and facilities. Regulators and payers are encouraging and enabling this shift by temporarily relaxing policies that have historically limited telemedicine. Adjacent areas of digital health including digital therapeutics, digital disease management, and remote monitoring have followed suit, finding similarly relaxed policies, more accessible reimbursement, and increased adoption by providers and patients alike. Many have questioned whether these changes will endure as life returns to a “new normal”, or if policies will be reverted and accelerated growth will subside. We begin by examining the potential for COVID-19 to drive lasting change for various categories of digital health technologies. Given the large scale of virtual care, in combination with its potential for lasting COVID-19 impact, we then will dive deeply into this category as a leading indicator of other areas of digital health. Because the US experience has been so widely covered (and to some degree it is still playing out in real time) we highlight key characteristics and trends across Asia Pacific (APAC) and European markets. -
Get the Facts About Telehealth
Get the Facts About Telehealth The COVID-19 pandemic has demonstrated that telehealth is a viable option for providing convenient, accessible and seamless care for patients. Myth #1: FACT: Data shows older patients are very comfortable with telehealth. Telehealth is In a survey conducted by Sutter Health, disease. More than 20% of Tera patients less feasible 52% of people aged 65 and older are aged 65 and above, allowing us reported having used telehealth during to quickly learn that telemedicine is for senior the pandemic and 93% of these patients welcome across any age range, disease citizens. reported having a positive experience. state and socioeconomic group. The key In addition, Sutter’s Tera Practice, factor for acceptance came down to a virtual-first medical practice that individuals experiencing firsthand Tera’s offers a whole ecosystem of healthcare convenience and responsiveness, and the support, has purposefully enrolled rapport they were able to build with their seniors who have at least one chronic personal care team virtually. OF SENIORS WHO USED TELEHEALTH 93% REPORTED A POSITIVE EXPERIENCE FACT: While more work needs to be done, Myth #2: telehealth is already improving critical access to care in rural and underserved communities. Telehealth Additional investments in technology, broadband and access are will amplify necessary to prevent the deepening of inequities and ensuring health widespread availability. Providers and policymakers must continue to work together to ensure the benefits of virtual care extend to our inequities. most vulnerable patients and that no community is left behind. Sutter serves millions of Medi-Cal patients in Northern California so this is a priority for our system. -
Best Practices of Cybersecurity in the Healthcare Industries
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VO`LUME 10, ISSUE 02, FEBRUARY 2021 ISSN 2277-8616 BEST PRACTICES OF CYBERSECURITY IN THE HEALTHCARE INDUSTRIES Mónica Cruz, Lizzette Pérez, Angel Ojeda Abstract: The aim of this article is to present a literature review of what organizations in healthcare business do to protect the patients‘ private information, how breaches and vulnerabilities occurs, and the impact in healthcare institutions. The importance of reinforcement of information technology (IT) systems to protect it from cyberattacks. Forty-five articles related to the theme of cybersecurity, cyberattacks, healthcare institutions, HIPPA Privacy Rule, and patient‘s health information from 2015 to 2020 was used to write this article. Cyberattacks are easy to execute in devices that have weak IT or security systems. Healthcare institutions have the obligation to invest in strong software‘s to ensure the protection of patient‘s health information. In this article, we are going to present what healthcare institutions do to protect the patient's information to avoid the implications involving data theft and how these institutions reinforce its‘ IT systems to protect it from cyberattacks. How cybersecurity is affected, examples of cybersecurity threats, and the importance of preserving a patient‘s health information will be discussed. Index Terms: Cyberattacks, cybersecurity, patient‘s health information, healthcare institutions, data theft, digital healthcare system —————————— —————————— 1 INTRODUCTION The digital healthcare system is threatened by hackers to 2017, published by the Journal of the American Medical breach the critical infrastructure (Athinaiou, 2017). Hackers Association, where the trends in some breaches and number favor stealing health care records, which includes personal of records affected by business association, health plan and information like credit cards, financial, and banking records. -
Perspectives on the Future of Personal Health Records
Perspectives on the Future of Personal Health Records June 2007 Perspectives on the Future of Personal Health Records Prepared for California HealthCare Foundation by Christopher J. Gearon Contributing Writers Michael Barrett, J.D. Patricia Flatley Brennan, R.N., Ph.D. David Kibbe, M.D., M.B.A. David Lansky, Ph.D. Jeremy Nobel, M.D., M.P.H. Daniel Sands, M.D., M.P.H. June 2007 About the Author Christopher J. Gearon is a freelance health and business writer in Silver Spring, Maryland. About the Foundation The California HealthCare Foundation, based in Oakland, is an independent philanthropy committed to improving California’s health care delivery and financing systems. Formed in 1996, our goal is to ensure that all Californians have access to affordable, quality health care. For more information about CHCF, visit us online at www.chcf.org. ISBN 1-933795-28-X ©2007 California HealthCare Foundation Contents 2 I Introduction 3 II. Background The PHR Market Business Models 6 III. Six Perspectives The Big-Picture Perspective The Consumer Perspective The Physician Perspective The Clinical Technology Perspective The Employer Perspective The Public Health Perspective 25 Endnotes I. Introduction The Internet and other information technologies have transformed American life in the last decade, empowering consumers and the way they work, bank, shop, and travel. However, a similar, long-anticipated transformation in health care has been elusive. Recent interest in a new kind of computerized medical record designed for consumers rather than health care providers could help speed this transformation. As a patient-centric hub of information and tools, personal health records (PHRs) have the potential to make the delivery of health care services more efficient and accessible, less costly, and safer. -
Security and Privacy for Mhealth and Uhealth Systems: a Systematic Mapping Study
Preprint submitted to IEEE Access. Date of current version June 22, 2020. Digital Object Identifier 10.1109/ACCESS.2017.DOI Security and Privacy for mHealth and uHealth Systems: a Systematic Mapping Study LEONARDO HORN IWAYA1,2, AAKASH AHMAD3, AND M. ALI BABAR.1,2 1Centre for Research on Engineering Software Technologies, The University of Adelaide, Adelaide, SA, Australia 2Cyber Security Cooperative Research Centre (CSCRC), Australia 3College of Computer Science and Engineering, University of Ha’il, Saudi Arabia Corresponding author: Leonardo Horn Iwaya (e-mail: [email protected]). The work has been supported by the Cyber Security Cooperative Research Centre (CSCRC) whose activities are partially funded by the Australian Government’s Cooperative Research Centres Programme. ABSTRACT An increased adoption of mobile health (mHealth) and ubiquitous health (uHealth) systems empower users with handheld devices and embedded sensors for a broad range of healthcare services. However, m/uHealth systems face significant challenges related to data security and privacy that must be addressed to increase the pervasiveness of such systems. This study aims to systematically identify, classify, compare, and evaluate state-of-the-art on security and privacy of m/uHealth systems. We conducted a systematic mapping study (SMS) based on 365 qualitatively selected studies to (i) classify the types, frequency, and demography of published research and (ii) synthesize and categorize research themes, (iii) recurring challenges, (iv) prominent solutions (i.e., research outcomes) and their (v) reported evaluations (i.e., practical validations). Results suggest that the existing research on security and privacy of m/uHealth systems primarily focuses on select group of control families (compliant with NIST800-53), protection of systems and information, access control, authentication, individual participation, and privacy authorisation.