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Scaling Innovations in Healthcare: A...
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Govindasamy, Saravana P.
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Scaling Innovations in Healthcare: A Multi-Method Analysis of Facilitators and Barriers of Innovation Adoption in Hospitals.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Scaling Innovations in Healthcare: A Multi-Method Analysis of Facilitators and Barriers of Innovation Adoption in Hospitals./
作者:
Govindasamy, Saravana P.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
88 p.
附註:
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:
Dissertations Abstracts International80-12B.
標題:
Information Technology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13862408
ISBN:
9781392186213
Scaling Innovations in Healthcare: A Multi-Method Analysis of Facilitators and Barriers of Innovation Adoption in Hospitals.
Govindasamy, Saravana P.
Scaling Innovations in Healthcare: A Multi-Method Analysis of Facilitators and Barriers of Innovation Adoption in Hospitals.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 88 p.
Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Thesis (D.B.A.)--Temple University, 2019.
This item must not be sold to any third party vendors.
This research paper examines the innovation adoption of technology, specifically Artificial Intelligence (AI) implementations in hospitals by exploring the capabilities that enables AI innovations using the dynamic capabilities (sensing, seizing and reconfiguring) framework and clinicians' intentions to use AI innovations for patient care by applying the technology adoption/acceptance framework Unified Theory of Acceptance and Use of Technology (UTAUT) utilizing qualitative case study analysis and quantitative survey methodology respectively. This multi-disciplinary research has considerable relevance to both healthcare business leaders and clinical practitioners by identifying the key factors that drives the decisions to adopt innovations to improve healthcare organizations' competitiveness to enhance patient care as well as to reduce overall healthcare costs. The main findings are: (1) On an organizational level, healthcare organizations with strong and versatile dynamic capabilities, who build on their existing knowledge and capabilities are better able to integrate the innovations into their internal operations and existing services. The identified barriers provide a clear sense of organizational barriers and resistance points for innovation adoption. (2) On an individual level, the impact of quality of care and organization leadership support are the key factors that facilitates the adoption of innovation among the clinicians. (3) Current trends and key impact areas of AI technology in the healthcare industry are identified.
ISBN: 9781392186213Subjects--Topical Terms:
1030799
Information Technology.
Scaling Innovations in Healthcare: A Multi-Method Analysis of Facilitators and Barriers of Innovation Adoption in Hospitals.
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This research paper examines the innovation adoption of technology, specifically Artificial Intelligence (AI) implementations in hospitals by exploring the capabilities that enables AI innovations using the dynamic capabilities (sensing, seizing and reconfiguring) framework and clinicians' intentions to use AI innovations for patient care by applying the technology adoption/acceptance framework Unified Theory of Acceptance and Use of Technology (UTAUT) utilizing qualitative case study analysis and quantitative survey methodology respectively. This multi-disciplinary research has considerable relevance to both healthcare business leaders and clinical practitioners by identifying the key factors that drives the decisions to adopt innovations to improve healthcare organizations' competitiveness to enhance patient care as well as to reduce overall healthcare costs. The main findings are: (1) On an organizational level, healthcare organizations with strong and versatile dynamic capabilities, who build on their existing knowledge and capabilities are better able to integrate the innovations into their internal operations and existing services. The identified barriers provide a clear sense of organizational barriers and resistance points for innovation adoption. (2) On an individual level, the impact of quality of care and organization leadership support are the key factors that facilitates the adoption of innovation among the clinicians. (3) Current trends and key impact areas of AI technology in the healthcare industry are identified.
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