Literature DB >> 31791914

Developing an Artificial Intelligence-Enabled Health Care Practice: Rewiring Health Care Professions for Better Care.

David Wiljer1, Zaki Hakim2.   

Abstract

Artificial intelligence (AI) has the potential to impact almost every aspect of health care, from detection to prediction and prevention. The adoption of new technologies in health care, however, lags far behind the emergence of new technologies. Health care professionals and organizations must be prepared to change and evolve to adopt these new technologies. A basic understanding of emerging AI technologies will be essential for all health care professionals. These technologies include expert systems, robotic process automation, natural language processing, machine learning, and deep learning. Health care professionals and organizations must build their capacity and capabilities to understand and appropriately adopt these technologies. This understanding starts with basic AI literacy, including data governance principles, basic statistics, data visualization, and the impact on clinical processes. Health care professionals and organizations will need to overcome several challenges and tackle core structural issues, such as access to data and the readiness of algorithms for clinical practice. However, health care professionals have an opportunity to shape the way that AI will be used and the outcomes that will be achieved. There is an urgent and emerging need for education and training so that appropriate technologies can be rapidly adopted, resulting in a healthier world for our patients and our communities.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  AI literacy; AI-enabled health professions education; Artificial intelligence; digital healthcare; professional development

Year:  2019        PMID: 31791914     DOI: 10.1016/j.jmir.2019.09.010

Source DB:  PubMed          Journal:  J Med Imaging Radiat Sci        ISSN: 1876-7982


  8 in total

1.  Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum.

Authors:  Joel Grunhut; Oge Marques; Adam T M Wyatt
Journal:  JMIR Med Educ       Date:  2022-06-07

Review 2.  The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia.

Authors:  Tsegahun Manyazewal; Yimtubezinash Woldeamanuel; Henry M Blumberg; Abebaw Fekadu; Vincent C Marconi
Journal:  NPJ Digit Med       Date:  2021-08-17

3.  The Potential and the Imperative: the Gap in AI-Related Clinical Competencies and the Need to Close It.

Authors:  Kim V Garvey; Kelly Jean Thomas Craig; Regina G Russell; Laurie Novak; Don Moore; Anita M Preininger; Gretchen P Jackson; Bonnie M Miller
Journal:  Med Sci Educ       Date:  2021-09-09

Review 4.  Digital microbiology.

Authors:  A Egli; J Schrenzel; G Greub
Journal:  Clin Microbiol Infect       Date:  2020-06-27       Impact factor: 8.067

Review 5.  Artificial Intelligence Education Programs for Health Care Professionals: Scoping Review.

Authors:  Rebecca Charow; Tharshini Jeyakumar; Sarah Younus; Elham Dolatabadi; Mohammad Salhia; Dalia Al-Mouaswas; Melanie Anderson; Sarmini Balakumar; Megan Clare; Azra Dhalla; Caitlin Gillan; Shabnam Haghzare; Ethan Jackson; Nadim Lalani; Jane Mattson; Wanda Peteanu; Tim Tripp; Jacqueline Waldorf; Spencer Williams; Walter Tavares; David Wiljer
Journal:  JMIR Med Educ       Date:  2021-12-13

6.  Building a Precision Medicine Delivery Platform for Clinics: The University of California, San Francisco, BRIDGE Experience.

Authors:  Riley Bove; Erica Schleimer; Stephan J Sanders; Katherine P Rankin; Paul Sukhanov; Michael Gilson; Sindy M Law; Andrew Barnecut; Bruce L Miller; Stephen L Hauser
Journal:  J Med Internet Res       Date:  2022-02-15       Impact factor: 7.076

7.  To the Lighthouse: Embracing a Grand Challenge for Cancer Education in the Digital Age.

Authors:  David Wiljer
Journal:  J Cancer Educ       Date:  2020-06       Impact factor: 1.771

8.  Indirect Recognition of Predefined Human Activities.

Authors:  Ojan Majidzadeh Gorjani; Antonino Proto; Jan Vanus; Petr Bilik
Journal:  Sensors (Basel)       Date:  2020-08-26       Impact factor: 3.576

  8 in total

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