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Health Care Equity in the Use of Advanced Analytics and Artificial Intelligence Technologies in Primary Care.
Clark, Cheryl R; Wilkins, Consuelo Hopkins; Rodriguez, Jorge A; Preininger, Anita M; Harris, Joyce; DesAutels, Spencer; Karunakaram, Hema; Rhee, Kyu; Bates, David W; Dankwa-Mullan, Irene.
Afiliação
  • Clark CR; Brigham and Women's Hospital, Boston, USA.
  • Wilkins CH; Vanderbilt University Medical Center, Nashville, USA.
  • Rodriguez JA; Brigham and Women's Hospital, Boston, USA.
  • Preininger AM; IBM Watson Health, Cambridge, USA.
  • Harris J; Vanderbilt University Medical Center, Nashville, USA.
  • DesAutels S; Vanderbilt University Medical Center, Nashville, USA.
  • Karunakaram H; IBM Watson Health, Cambridge, USA.
  • Rhee K; IBM Watson Health, Cambridge, USA.
  • Bates DW; Brigham and Women's Hospital, Boston, USA.
  • Dankwa-Mullan I; IBM Watson Health, Cambridge, USA. idankwa@us.ibm.com.
J Gen Intern Med ; 36(10): 3188-3193, 2021 10.
Article em En | MEDLINE | ID: mdl-34027610
ABSTRACT
The integration of advanced analytics and artificial intelligence (AI) technologies into the practice of medicine holds much promise. Yet, the opportunity to leverage these tools carries with it an equal responsibility to ensure that principles of equity are incorporated into their implementation and use. Without such efforts, tools will potentially reflect the myriad of ways in which data, algorithmic, and analytic biases can be produced, with the potential to widen inequities by race, ethnicity, gender, and other sociodemographic factors implicated in disparate health outcomes. We propose a set of strategic assertions to examine before, during, and after adoption of these technologies in order to facilitate healthcare equity across all patient population groups. The purpose is to enable generalists to promote engagement with technology companies and co-create, promote, or support innovation and insights that can potentially inform decision-making and health care equity.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Medicina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos