Ethical Collaboration and Artificial Intelligence Among Healthcare Professionals

Abstract

Artificial intelligence is currently a diagnostic tool and this study investigated healthcare professionals’ ethical collaboration along the line of AI expertise in the United States of America (USA).

Objectives: This research objectives were divided into four parts to address healthcare professionals’ discourse. For instance, the objectives investigated the engagement level and significant influence of healthcare professionals like, repost and comment factors on number of views as evident through X data analytics.

Methods: This study adopted quantitative methodology consisting of data analytics gathered from X (formerly Twitter). Also, a total of five thousand and thirty-five (5035) data analytics on X were purposively gathered and analysed in this research to answer healthcare professionals’ ethical collaboration and artificial intelligence related questions. A dataset of 5,035 analytics is sufficiently large to capture diverse themes, sentiment trends, and ethical concerns discussed among healthcare professionals. This research adopted both inferential and descriptive statistics with three (3) hypotheses tested for this study at p< .05 statistical level of significance.

Results: This study result show that artificial intelligence (AI) use as a tool for healthcare professionals’ ethical collaboration needs more perfection. Also, the results show that most factors involved in this enquiry had significant influence with reliable predictive power of 60%.

Conclusions: This study concludes that there is a significant influence on most of the engagement factors introduced in this research, which shows the high level of interest channelled towards the healthcare professional’s collaborative ethics and AI discourse in USA.