The Rise of the Data-Driven Physician 2020 Health Trends Report
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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. -
Racial and Ethnic Disparities in Health Care, Updated 2010
RACIAL AND ETHNIC DISPARITIES IN HEALTH CARE, UPDATED 2010 American College of Physicians A Position Paper 2010 Racial and Ethnic Disparities in Health Care A Summary of a Position Paper Approved by the ACP Board of Regents, April 2010 What Are the Sources of Racial and Ethnic Disparities in Health Care? The Institute of Medicine defines disparities as “racial or ethnic differences in the quality of health care that are not due to access-related factors or clinical needs, preferences, and appropriateness of intervention.” Racial and ethnic minorities tend to receive poorer quality care compared with nonminorities, even when access-related factors, such as insurance status and income, are controlled. The sources of racial and ethnic health care disparities include differences in geography, lack of access to adequate health coverage, communication difficulties between patient and provider, cultural barriers, provider stereotyping, and lack of access to providers. In addition, disparities in the health care system contribute to the overall disparities in health status that affect racial and ethnic minorities. Why is it Important to Correct These Disparities? The problem of racial and ethnic health care disparities is highlighted in various statistics: • Minorities have less access to health care than whites. The level of uninsurance for Hispanics is 34% compared with 13% among whites. • Native Americans and Native Alaskans more often lack prenatal care in the first trimester. • Nationally, minority women are more likely to avoid a doctor’s visit due to cost. • Racial and ethnic minority Medicare beneficiaries diagnosed with dementia are 30% less likely than whites to use antidementia medications. -
Geriatric Medicine and Why We Need Geriatricians! by Juergen H
Geriatric Medicine and why we need Geriatricians! by Juergen H. A. Bludau, MD hat is geriatric medicine? Why is there a need for 1. Heterogeneity: As people age, they become more Wthis specialty? How does it differ from general heterogeneous, meaning that they become more and more internal medicine? What do geriatricians do differently when different, sometimes strikingly so, with respect to their they evaluate and treat an older adult? These are common health and medical needs. Imagine for a moment a group questions among patients and physicians alike. Many of 10 men and women, all 40 years old. It is probably safe internists and family practitioners argue, not unjustifiably, to say that most, if not all, have no chronic diseases, do not that they have experience in treating and caring for older see their physicians on a regular basis, and take no long- patients, especially since older adults make up almost half of term prescription medications. From a medical point of all doctors visits. So do we really need another type of view, this means that they are all very similar. Compare this physician to care for older adults? It is true that geriatricians to a group of 10 patients who are 80 years old. Most likely, may not necessarily treat older patients differently per se. But you will find an amazingly fit and active gentleman who there is a very large and important difference in that the focus may not be taking any prescription medications. On the of the treatment is different. In order to appreciate how other end of the spectrum, you may find a frail, memory- significant this is, we need to look at what makes an older impaired, and wheelchair-bound woman who lives in a adult different from a younger patient. -
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. -
Sports Medicine Examination Outline
Sports Medicine Examination Content I. ROLE OF THE TEAM PHYSICIAN 1% A. Ethics B. Medical-Legal 1. Physician responsibility 2. Physician liability 3. Preparticipation clearance 4. Return to play 5. Waiver of liability C. Administrative Responsibilities II. BASIC SCIENCE OF SPORTS 16% A. Exercise Physiology 1. Training Response/Physical Conditioning a.Aerobic b. Anaerobic c. Resistance d. Flexibility 2. Environmental a. Heat b.Cold c. Altitude d.Recreational diving (scuba) 3. Muscle a. Contraction b. Lactate kinetics c. Delayed onset muscle soreness d. Fiber types 4. Neuroendocrine 5. Respiratory 6. Circulatory 7. Special populations a. Children b. Elderly c. Athletes with chronic disease d. Disabled athletes B. Anatomy 1. Head/Neck a.Bone b. Soft tissue c. Innervation d. Vascular 2. Chest/Abdomen a.Bone b. Soft tissue c. Innervation d. Vascular 3. Back a.Bone b. Soft tissue c. Innervation 1 d. Vascular 4. Shoulder/Upper arm a. Bone b. Soft tissue c. Innervation d. Vascular 5. Elbow/Forearm a. Bone b. Soft tissue c. Innervation d. Vascular 6. Hand/Wrist a. Bone b. Soft tissue c. Innervation d. Vascular 7. Hip/Pelvis/Thigh a. Bone b. Soft tissue c. Innervation d. Vascular 8. Knee a. Bone b. Soft tissue c. Innervation d. Vascular 9. Lower Leg/Foot/Ankle a. Bone b. Soft tissue c. Innervation d. Vascular 10. Immature Skeleton a. Physes b. Apophyses C. Biomechanics 1. Throwing/Overhead activities 2. Swimming 3. Gait/Running 4. Cycling 5. Jumping activities 6. Joint kinematics D. Pharmacology 1. Therapeutic Drugs a. Analgesics b. Antibiotics c. Antidiabetic agents d. Antihypertensives e. -
Pathology and Laboratory Medicine 1
Pathology and Laboratory Medicine 1 and hepatic pathology. The rotation consists of daily interpretation of Pathology and subspecialty biopsies, participation in subspecialty conferences, slide set study, and assigned readings. Students participate in their own Laboratory Medicine learning by setting their rotation objectives with faculty at the start of their elective and following through with a schedule of clinical, laboratory and core lecture conferences. Students will need to obtain the appropriate Pathologists play many roles in medicine, from interpreting surgical staff members' permission for the rotation as follows: dermatopathology biopsies to supervising clinical laboratory testing. It has been estimated (Garth Fraga); neuropathology (Kathy Newell); renal pathology (Timothy that 70% of all medical decisions are based on data generated by Fields); breast pathology (Fang Fan); hepatic pathology (Maura O'Neil). pathology departments. The department of Pathology and Laboratory Prerequisite: Completion of the core clinical clerkships and permission of Medicine at KUMC plays an integral role in the core curriculum and also the faculty. LEC. offers elective courses to medical students interested in learning more about laboratory practice. Students in elective rotations participate in daily teaching conferences and specimen “sign-out” at the University of Kansas Hospital. They receive hands-on exposure to pathology technical methodology in the surgical pathology suite, cytopathology and hematopathology. PAON 920. Molecular Medicine: Approaches & Ethics. 2 Hours. Molecular Medicine: Approaches Ethics is a two semester course for first year MD-PhD students taught by the Director of the MD- PhD Program, with other faculty from the basic science and clinical departments. Through lectures, small group discussion, online modules, evaluation of primary literature, and presentations/discussions with current KUMC faculty, students will be introduced to the process of scientific investigation. -
DUKE UNIVERSITY School of Medicine Pathologists' Assistant
DUKE UNIVERSITY School of Medicine Pathologists’ Assistant Program Department of Pathology Academic Programs The Department of Pathology at Duke University offers a wide array of training programs to fit individual requirements and goals. The Residency Training program is an ACGME approved program and is available as an Anatomic Pathology/Clinical Pathology combined program, a shorter Anatomic Pathology only program, or an Anatomic Pathology/Neuropathology program. Subspecialty fellowships in Cytopathology, Dermatopathology, Hematopathology, Medical Microbiology, and Neuropathology are also ACGME approved. These programs provide the highest quality of graduate medical education by drawing on the depth and breadth of faculty expertise in the Department in all aspects of anatomic and clinical pathology and the availability of a wide variety of often complex clinical cases seen at Duke University Health System. For medical students interested in a career in Pathology pre-doctoral fellowships, internships and externships are available. Research Training in Experimental pathology can be obtained through Pre- and postdoctoral fellowships of one to five years. All pre-doctoral fellows are candidates for the Ph.D. degree in pathology. The Ph.D. is optional in postdoctoral programs, which provide didactic and research training in various aspects of modern experimental pathology. A two year NAACLS accredited Pathologists’ Assistant Program leads to a Master of Health Science degree, certifies graduates to sit for the ASCP Board of Certification examination, and leads to exciting career opportunities in a variety of anatomic pathology laboratory settings. Pathologists’ assistants are analogous to physician assistants, but with highly specialized training in autopsy and surgical pathology. This profession was pioneered in the Duke Department of Pathology 50 years ago, and is one of only twelve such programs in existence today. -
Different Perspectives for Assigning Weights to Determinants of Health
COUNTY HEALTH RANKINGS WORKING PAPER DIFFERENT PERSPECTIVES FOR ASSIGNING WEIGHTS TO DETERMINANTS OF HEALTH Bridget C. Booske Jessica K. Athens David A. Kindig Hyojun Park Patrick L. Remington FEBRUARY 2010 Table of Contents Summary .............................................................................................................................................................. 1 Historical Perspective ........................................................................................................................................ 2 Review of the Literature ................................................................................................................................... 4 Weighting Schemes Used by Other Rankings ............................................................................................... 5 Analytic Approach ............................................................................................................................................. 6 Pragmatic Approach .......................................................................................................................................... 8 References ........................................................................................................................................................... 9 Appendix 1: Weighting in Other Rankings .................................................................................................. 11 Appendix 2: Analysis of 2010 County Health Rankings Dataset ............................................................ -
A Crisis in Health Care: a Call to Action on Physician Burnout
A CRISIS IN HEALTH CARE: A CALL TO ACTION ON PHYSICIAN BURNOUT Partnership with the Massachusetts Medical Society, Massachusetts Health and Hospital Association, Harvard T.H. Chan School of Public Health, and Harvard Global Health Institute A Crisis in Health Care: A Call to Action on Physician Burnout Authors About the Massachusetts Medical Society Ashish K. Jha, MD, MPH The Massachusetts Medical Society (MMS) is the state- Director, Harvard Global Health Institute wide professional association for physicians and medical stu- Senior Associate Dean for Research Translation and dents, supporting 25,000 members. The MMS is dedicated Global Strategy to educating and advocating for the physicians and patients K.T. Li Professor, Dept. of Health Policy and Management, of Massachusetts both locally and nationally. As a voice of Harvard T.H. Chan School of Public Health leadership in health care, the MMS provides physician and Professor of Medicine, Harvard Medical School patient perspectives to influence health-related legislation Andrew R. Iliff, MA, JD at both state and federal levels, works in support of public Lead Writer and Program Manager, Harvard Global health, provides expert advice on physician practice manage- Health Institute ment, and addresses issues of physician well-being. Alain A. Chaoui, MD, FAAFP About the Massachusetts Health and President, Massachusetts Medical Society Hospital Association Steven Defossez, MD, EMHL The Massachusetts Health and Hospital Association Vice President, Clinical Integration, Massachusetts Health (MHA) was founded in 1936, and its members include and Hospital Association 71 licensed member hospitals, many of which are organized Maryanne C. Bombaugh, MD, MSc, MBA within 29 member health systems, as well as interested indi- President-Elect, Massachusetts Medical Society viduals and other healthcare stakeholders.