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Consumer Perception of Artificial Intelligence in U.S. Healthcare.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Consumer Perception of Artificial Intelligence in U.S. Healthcare./
Author:	Dieter, Daniel G.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	203 p.
Notes:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
Subject:	Communication. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28549403
ISBN:	9798535515694

Consumer Perception of Artificial Intelligence in U.S. Healthcare.
Dieter, Daniel G.

Consumer Perception of Artificial Intelligence in U.S. Healthcare. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 203 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--Indiana University of Pennsylvania, 2021.

This item must not be sold to any third party vendors.

This study examines U.S. healthcare consumer perception of artificial intelligence use in diagnosis and treatment at the outset of what may be a wide technological rollout with pervasive impact on patient care. Healthcare AI (HCAI) is a relatively new technology with promise to improve consumer health outcomes and to center patient needs while reducing costs. If its introduction does not account for consumer acceptance, however, HCAI risks alienating the consumers for whom it was designed and scuttling its potentially enormous benefits. Thus far, healthcare consumers have been largely neglected in HCAI development and academic research. Technology acceptance models demonstrate strong predictive power when employed in the context of active users of technology, however, existing models insufficiently describe healthcare consumers who are passive users of HCAI. The results from a survey of 401 participants show that the newly developed HCAI Passive User Acceptance Model of decomposed variables from common technology acceptance models has predictive power with strong effect size and may be employed as a useful tool to monitor HCAI perception. In addition, the analysis revealed that most consumers are willing to undergo diagnosis and treatment by HCAI within specified limits, while admitting that they are unfamiliar with the technology and that their perceptions might change. Trust emerged as a strong influence on perception, highlighting the importance of patient-physician relationships, of consumer needs in the adoption of HCAI, and of ethical, transparent communication.

ISBN: 9798535515694Subjects--Topical Terms:

524709
Communication.
Subjects--Index Terms:

Artificial intelligence

Consumer Perception of Artificial Intelligence in U.S. Healthcare.
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245 1 0 $a Consumer Perception of Artificial Intelligence in U.S. Healthcare.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 203 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 $a Advisor: Stiegler, Zack.
502 $a Thesis (Ph.D.)--Indiana University of Pennsylvania, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a This study examines U.S. healthcare consumer perception of artificial intelligence use in diagnosis and treatment at the outset of what may be a wide technological rollout with pervasive impact on patient care. Healthcare AI (HCAI) is a relatively new technology with promise to improve consumer health outcomes and to center patient needs while reducing costs. If its introduction does not account for consumer acceptance, however, HCAI risks alienating the consumers for whom it was designed and scuttling its potentially enormous benefits. Thus far, healthcare consumers have been largely neglected in HCAI development and academic research. Technology acceptance models demonstrate strong predictive power when employed in the context of active users of technology, however, existing models insufficiently describe healthcare consumers who are passive users of HCAI. The results from a survey of 401 participants show that the newly developed HCAI Passive User Acceptance Model of decomposed variables from common technology acceptance models has predictive power with strong effect size and may be employed as a useful tool to monitor HCAI perception. In addition, the analysis revealed that most consumers are willing to undergo diagnosis and treatment by HCAI within specified limits, while admitting that they are unfamiliar with the technology and that their perceptions might change. Trust emerged as a strong influence on perception, highlighting the importance of patient-physician relationships, of consumer needs in the adoption of HCAI, and of ethical, transparent communication.
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650 4 $a Health care management. $3 2122906
650 4 $a Perceptions. $3 3435328
650 4 $a Medical technology. $3 672535
650 4 $a Attitudes. $3 1973410
653 $a Artificial intelligence
653 $a Health communication theory
653 $a Healthcare AI administration
653 $a Healthcare consumer perception
653 $a Healthcare technology
653 $a Technology user acceptance
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710 2 $a Indiana University of Pennsylvania. $b Communications Media. $3 3277407
773 0 $t Dissertations Abstracts International $g 83-03B.
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