Effects Of Artificial Intelligence Used In Healthcare On Confidence On Patient And Physician

Abstract

Artificial intelligence and robotic systems are rapidly entering healthcare, playing key roles in certain medical functions, including diagnostics and clinical treatments. The focus in the development of health technology has been on human-machine interactions. This has led to a number of technology-centric problems. This study focuses on the impact of these technologies on the patient-doctor relationship and human-organization in the healthcare. It’s argued that artificial intelligence in health can have significant effects on patient-doctor trust. It focuses on three main drivers of trust that is potentially supported or disrupted by the introduction of artificial intelligence or robotic systems in healthcare. First, doctors are certified and licensed to practice medicine. A license; indicates that some individuals have certain skills, knowledge, and a high level of value. Second, physicians appear to play a role as part of an active duo tasked with providing care that promotes patient value. Finally, a patient's experiences with their doctor are a positive or negative driver of trust between patient-physician understanding. When a doctor interacts with a patient, he builds social and experiential "capital" with him, and this understanding leads to increased trust. It’s argued that healthcare artificial intelligence systems should be considered as assistive technologies that go beyond the usual functions of medical devices. As a result, AI systems in health need to be regulated to provide relevant values. It’s suggested for patients and physicians that three high-level principles can guide this effort. Medical professionals must be licensed in healthcare AI systems; Alternative care methods should be provided until the approval and “standard of care” given by the patient or caregiver prior to its implementation and in terms of artificial intelligence is accepted. In prioritizing these functions in regulatory measures, medical community favour the appropriate societal and interpersonal deployment and implementation of such health technologies.