Artificial Intelligence Technology and its Relation to Decision Making Abilities as perceived by First Line Managers

Background: Artificial intelligence technology is becoming vital for supporting first-line managers and other healthcare providers in healthcare delivery, and decision-making abilities. The study aimed to assess artificial intelligence technology and its relation to decision making abilities as perceived by first line managers. Study design: Descriptive correlational design was utilized to conduct this study. Setting: The study was conducted in all inpatient units at Benha University Hospital. Subjects: Included all available first-line managers 57 who are working at the previously mentioned study settings during the time of data collection. Tools: Two tools were used for data collection; (1^st tool) Artificial intelligence technology questionnaire, and (2^nd tool) Decision-making abilities scale. The study results showed that, the majority (80.7% & 84.2%) of first-line managers had high perception level toward artificial intelligence technology, and high decision-making abilities levels, respectively. Also, less than one fifth (15.8%) of them had moderate perception level of artificial intelligence technology, and moderate decision-making abilities levels. The study concluded that, there was a highly statistically significant positive correlation between total artificial intelligence technology and total decision-making abilities as perceived by first-line managers. The study recommended that, enhancing the readiness of organizations for using artificial intelligence through providing good infrastructure and budgeting, and developing a reward system for first-line managers with effective decision-making to encourage others to do the same.
Background: Technology using artificial intelligence is essential for assisting first-line managers and other healthcare personnel with healthcare delivery and decision-making skills.The study aimed Assess the relationship between artificial intelligence technologies and decision-making skills as judged by first-line managers. Study design: Using a descriptive correlational methodology, this research was conducted. Setting: The research was done in all Benha University Hospital inpatient wards. Subjects: Included all available first-line managers 57 at the time of data collection who are employed in the previously indicated research settings.Tools: Two tools were used for data collection; (1st tool) Artificial intelligence technology questionnaire, and (2nd tool) Decision-making abilities scale. The study results showed that, Eighty-point-seven percent and eighty-four percent, respectively, of first-line managers had a favourable opinion of artificial intelligence technology and decision-making skills. In addition, fewer than one-fifth of them (15.8 percent) possessed a moderate understanding of artificial intelligence technologies and decision-making skills.The study concluded that, There were extremely substantial positive connections between overall artificial intelligence technologies and total decision-making capabilities, as evaluated by first-line managers. The study recommended that, Designing periodic training programmes and seminars to expand and refresh first-line managers'' understanding of artificial intelligence technology and decision-making skills, and preparing businesses for the use of artificial intelligence by providing enough infrastructure and financing.