Clinical Nursing Studies · 2020 · 10 citations · 10 references
NursingHealth Care ManagementNursing AdministrationArtificial IntelligenceHealthcare AdministrationHealthcare ManagementArtificial Intelligence AdoptionDecision Support In HealthcareAi Investment StrategyAi SkillsArtificial Intelligence In HospitalityArtificial Intelligence Investment StrategyArtificial Intelligence LiteracyPerceptionTechnology Acceptance Of Ai
Objective: To investigate perception of managers and patients about AI application in the healthcare domain in Egypt.Methods: The study is quasi-experimental conducted in Shams Specialized Hospital, Dar el-Shefaa hospital in Cairo, and Dar El Foad Hospital. Study subjects were composed of two groups: managers (nurse and medical) and patients. Three questionnaires were used for data collection (Managers’ knowledge about artificial intelligence, Managers’ perception of artificial intelligence, and patients’ perception about the application of AI in healthcare).Results: All of the managers, either nurse or medical, had a lack of knowledge about AI. Nurse Managers perceived most items positively regarding the application of artificial intelligence in nursing, while medical managers perceived all items positively regarding the application of artificial intelligence in medicine. On the same line, the highest percentage of patients agreed upon the application of artificial intelligence in healthcare.Conclusions: There was a highly significant difference (p < .001) between managers’ knowledge about AI before and after awareness sessions. The majority of nurses and medical managers’ perceived the application of AI positively in nursing and medicine. Also, patients perceived the application of AI in healthcare positively.
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Governing Artificial Intelligence: upholding human rights & dignity
Mark Latonero · 2018 · 121 citations
Julie Cowie, Eileen Calveley, Gillian Bowers et al. · International Journal of Environmental Research and Public Health · 2018 · 102 citations · Full text