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A survey of pregnant patients' perspectives on the implementation of artificial intelligence in clinical care.
Armero, William; Gray, Kathryn J; Fields, Kara G; Cole, Naida M; Bates, David W; Kovacheva, Vesela P.
Afiliación
  • Armero W; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Gray KJ; David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Fields KG; Division of Maternal-Fetal Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Cole NM; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Bates DW; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Kovacheva VP; Department of Anesthesia and Critical Care, The University of Chicago, Chicago, Illinois, USA.
J Am Med Inform Assoc ; 30(1): 46-53, 2022 12 13.
Article en En | MEDLINE | ID: mdl-36250788
ABSTRACT

OBJECTIVE:

To evaluate and understand pregnant patients' perspectives on the implementation of artificial intelligence (AI) in clinical care with a focus on opportunities to improve healthcare technologies and healthcare delivery. MATERIALS AND

METHODS:

We developed an anonymous survey and enrolled patients presenting to the labor and delivery unit at a tertiary care center September 2019-June 2020. We investigated the role and interplay of patient demographic factors, healthcare literacy, understanding of AI, comfort levels with various AI scenarios, and preferences for AI use in clinical care.

RESULTS:

Of the 349 parturients, 57.6% were between the ages of 25-34 years, 90.1% reported college or graduate education and 69.2% believed the benefits of AI use in clinical care outweighed the risks. Cluster analysis revealed 2 distinct groups patients more comfortable with clinical AI use (Pro-AI) and those who preferred physician presence (AI-Cautious). Pro-AI patients had a higher degree of education, were more knowledgeable about AI use in their daily lives and saw AI use as a significant advancement in medicine. AI-Cautious patients reported a lack of human qualities and low trust in the technology as detriments to AI use.

DISCUSSION:

Patient trust and the preservation of the human physician-patient relationship are critical in moving forward with AI implementation in healthcare. Pregnant individuals are cautiously optimistic about AI use in their care.

CONCLUSION:

Our findings provide insights into the status of AI use in perinatal care and provide a platform for driving patient-centered innovations.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Medicina Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Médicos / Medicina Límite: Adult / Female / Humans / Pregnancy Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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