Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Applying the UTAUT2 framework to patients’ attitudes toward healthcare task shifting with artificial intelligence
40
Zitationen
11
Autoren
2024
Jahr
Abstract
These results are important for stakeholders and changemakers such as policymakers, governments, physicians, and insurance companies, as they design adoption strategies to ensure successful patient engagement by focusing on factors affecting the facilitating conditions, hedonic motivation and performance expectancy for AI technologies used in healthcare task shifting.
Ähnliche Arbeiten
The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure<SUBTITLE>The JNC 7 Report</SUBTITLE>
2003 · 25.500 Zit.
Prediction of Creatinine Clearance from Serum Creatinine
1976 · 15.348 Zit.
2013 ESH/ESC Guidelines for the management of arterial hypertension
2013 · 13.651 Zit.
Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure
2003 · 13.237 Zit.
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
2017 · 12.675 Zit.