Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence.
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| Title: | Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence. |
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| Authors: | Huang W; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore. huang.weiting@singhealth.com.sg.; Duke-NUS Medical School, Singapore, Singapore. huang.weiting@singhealth.com.sg., Ong WC; National Healthcare Group Polyclinics, Singapore, Singapore., Wong MKF; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore., Ng EYK; School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore., Koh T; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore., Chandramouli C; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore., Ng CT; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore., Hummel Y; Us2.ai, Singapore, Singapore., Huang F; Us2.ai, Singapore, Singapore., Lam CSP; National Heart Centre Singapore, 5 Hospital Drive, Singapore, 169609, Singapore.; Duke-NUS Medical School, Singapore, Singapore.; Us2.ai, Singapore, Singapore., Tromp J; Duke-NUS Medical School, Singapore, Singapore.; Saw Swee Hock School of Public Health, National University of Singapore, National University Health System Singapore, Singapore, Singapore. |
| Source: | BMC health services research [BMC Health Serv Res] 2024 Apr 11; Vol. 24 (1), pp. 455. Date of Electronic Publication: 2024 Apr 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1472-6963 |
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| DOI: | 10.1186/s12913-024-10861-z |
