Literature DB >> 31682262

A governance model for the application of AI in health care.

Sandeep Reddy1, Sonia Allan2, Simon Coghlan3, Paul Cooper1.   

Abstract

As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing focus and investment in AI medical applications both from governmental organizations and technological companies. However, concern has been expressed about the ethical and regulatory aspects of the application of AI in health care. These concerns include the possibility of biases, lack of transparency with certain AI algorithms, privacy concerns with the data used for training AI models, and safety and liability issues with AI application in clinical environments. While there has been extensive discussion about the ethics of AI in health care, there has been little dialogue or recommendations as to how to practically address these concerns in health care. In this article, we propose a governance model that aims to not only address the ethical and regulatory issues that arise out of the application of AI in health care, but also stimulate further discussion about governance of AI in health care.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  artificial intelligence; ethics; governance framework; healthcare; regulation

Year:  2020        PMID: 31682262      PMCID: PMC7647243          DOI: 10.1093/jamia/ocz192

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  21 in total

1.  Health information technology: integration of clinical workflow into meaningful use of electronic health records.

Authors:  Felicia M Bowens; Patricia A Frye; Warren A Jones
Journal:  Perspect Health Inf Manag       Date:  2010-10-01

2.  From Local Explanations to Global Understanding with Explainable AI for Trees.

Authors:  Scott M Lundberg; Gabriel Erion; Hugh Chen; Alex DeGrave; Jordan M Prutkin; Bala Nair; Ronit Katz; Jonathan Himmelfarb; Nisha Bansal; Su-In Lee
Journal:  Nat Mach Intell       Date:  2020-01-17

3.  Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Eur Urol       Date:  2015-01-05       Impact factor: 20.096

4.  Should Watson Be Consulted for a Second Opinion?

Authors:  David D Luxton
Journal:  AMA J Ethics       Date:  2019-02-01

5.  Governing artificial intelligence: ethical, legal and technical opportunities and challenges.

Authors:  Corinne Cath
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2018-10-15       Impact factor: 4.226

Review 6.  Medical ethics: four principles plus attention to scope.

Authors:  R Gillon
Journal:  BMJ       Date:  1994-07-16

7.  Implementing Machine Learning in Health Care - Addressing Ethical Challenges.

Authors:  Danton S Char; Nigam H Shah; David Magnus
Journal:  N Engl J Med       Date:  2018-03-15       Impact factor: 91.245

8.  Regulation of medical devices outside the European Union.

Authors:  Susan Lamph
Journal:  J R Soc Med       Date:  2012-04       Impact factor: 5.344

9.  Google DeepMind and healthcare in an age of algorithms.

Authors:  Julia Powles; Hal Hodson
Journal:  Health Technol (Berl)       Date:  2017-03-16

10.  Artificial intelligence, bias and clinical safety.

Authors:  Robert Challen; Joshua Denny; Martin Pitt; Luke Gompels; Tom Edwards; Krasimira Tsaneva-Atanasova
Journal:  BMJ Qual Saf       Date:  2019-01-12       Impact factor: 7.035

View more
  35 in total

1.  Changing Health-Related Behaviors 6: Analysis, Interpretation, and Application of Big Data.

Authors:  Randy Giffen; Donald Bryant
Journal:  Methods Mol Biol       Date:  2021

2.  Innovation is key for advancing the science of biomedical and health informatics and for publishing in JAMIA.

Authors:  Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

3.  Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch.

Authors:  Wei Ning Chi; Courtney Reamer; Robert Gordon; Nitasha Sarswat; Charu Gupta; Emily White VanGompel; Julie Dayiantis; Melissa Morton-Jost; Urmila Ravichandran; Karen Larimer; David Victorson; John Erwin; Lakshmi Halasyamani; Anthony Solomonides; Rema Padman; Nirav S Shah
Journal:  Appl Clin Inform       Date:  2021-12-29       Impact factor: 2.342

Review 4.  Artificial Intelligence Applications in Health Care Practice: Scoping Review.

Authors:  Malvika Sharma; Carl Savage; Monika Nair; Ingrid Larsson; Petra Svedberg; Jens M Nygren
Journal:  J Med Internet Res       Date:  2022-10-05       Impact factor: 7.076

5.  FDA Regulation of Predictive Clinical Decision-Support Tools: What Does It Mean for Hospitals?

Authors:  Gary E Weissman
Journal:  J Hosp Med       Date:  2021-04       Impact factor: 2.960

6.  Rethinking PICO in the Machine Learning Era: ML-PICO.

Authors:  Xinran Liu; James Anstey; Ron Li; Chethan Sarabu; Reiri Sono; Atul J Butte
Journal:  Appl Clin Inform       Date:  2021-05-19       Impact factor: 2.342

Review 7.  Machine learning for sperm selection.

Authors:  Jae Bem You; Christopher McCallum; Yihe Wang; Jason Riordon; Reza Nosrati; David Sinton
Journal:  Nat Rev Urol       Date:  2021-05-17       Impact factor: 14.432

8.  Trust and medical AI: the challenges we face and the expertise needed to overcome them.

Authors:  Thomas P Quinn; Manisha Senadeera; Stephan Jacobs; Simon Coghlan; Vuong Le
Journal:  J Am Med Inform Assoc       Date:  2021-03-18       Impact factor: 4.497

9.  AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units.

Authors:  Fatema Mustansir Dawoodbhoy; Jack Delaney; Paulina Cecula; Jiakun Yu; Iain Peacock; Joseph Tan; Benita Cox
Journal:  Heliyon       Date:  2021-05-12

Review 10.  Requirements and reliability of AI in the medical context.

Authors:  Yoganand Balagurunathan; Ross Mitchell; Issam El Naqa
Journal:  Phys Med       Date:  2021-03-13       Impact factor: 2.685

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.