SwePub
Sök i LIBRIS databas

  Utökad sökning

(WFRF:(Desroches M))
 

Sökning: (WFRF:(Desroches M)) > (2020-2022) > US primary care in ...

US primary care in 2029 : A Delphi survey on the impact of machine learning

Blease, Charlotte (författare)
Division of General Medicine, OpenNotes, Beth Israel Deaconess Medical Center, Boston, MA, United States of America
Kharko, Anna (författare)
Department of Psychology, University of Plymouth, Plymouth, United Kingdom
Locher, Cosima (författare)
visa fler...
DesRoches, Catherine M (författare)
Mandl, Kenneth D (författare)
visa färre...
 (creator_code:org_t)
2020-10-08
2020
Engelska.
Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:10
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Objective: To solicit leading health informaticians' predictions about the impact of AI/ML on primary care in the US in 2029.Design: A three-round online modified Delphi poll.Participants: Twenty-nine leading health informaticians.Methods: In September 2019, health informatics experts were selected by the research team, and invited to participate the Delphi poll. Participation in each round was anonymous, and panelists were given between 4-8 weeks to respond to each round. In Round 1 open-ended questions solicited forecasts on the impact of AI/ML on: (1) patient care, (2) access to care, (3) the primary care workforce, (4) technological breakthroughs, and (5) the long-future for primary care physicians. Responses were coded to produce itemized statements. In Round 2, participants were invited to rate their agreement with each item along 7-point Likert scales. Responses were analyzed for consensus which was set at a predetermined interquartile range of ≤ 1. In Round 3 items that did not reach consensus were redistributed.Results: A total of 16 experts participated in Round 1 (16/29, 55%). Of these experts 13/16 (response rate, 81%), and 13/13 (response rate, 100%), responded to Rounds 2 and 3, respectively. As a result of developments in AI/ML by 2029 experts anticipated workplace changes including incursions into the disintermediation of physician expertise, and increased AI/ML training requirements for medical students. Informaticians also forecast that by 2029 AI/ML will increase diagnostic accuracy especially among those with limited access to experts, minorities and those with rare diseases. Expert panelists also predicted that AI/ML-tools would improve access to expert doctor knowledge.Cconclusions: This study presents timely information on informaticians' consensus views about the impact of AI/ML on US primary care in 2029. Preparation for the near-future of primary care will require improved levels of digital health literacy among patients and physicians.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

Hitta via bibliotek

  • PLOS ONE (Sök värdpublikationen i LIBRIS)

Till lärosätets databas

Hitta mer i SwePub

Av författaren/redakt...
Blease, Charlott ...
Kharko, Anna
Locher, Cosima
DesRoches, Cathe ...
Mandl, Kenneth D
Om ämnet
MEDICIN OCH HÄLSOVETENSKAP
MEDICIN OCH HÄLS ...
och Hälsovetenskap
och Hälso och sjukvå ...
Artiklar i publikationen
PLOS ONE
Av lärosätet
Uppsala universitet

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy