Artificial Intelligence is the stimulation of machines using human intelligence, therefore, programming them to think and function as human beings. Artificial Intelligence (AI) has been used in the revolutionization of numerous industries, including healthcare. To customers, AI makes health care services more accessible. It also benefits customers through detection of risks to healthy early enough and monitoring through personal and wearable devices. For employees in the healthcare system, AI shortens the time needed to diagnose and treat patients and makes the process less costly. Through algorithms, most of the manual work that exhausts healthcare employees is automated. Creations such as robotics have been integrated into special hospital operations such as surgery and support of patients. However, both patients' and employees' risks are lack personal touch, primarily where robotics are used to provide care. AI may lead to unemployment of a healthcare facility personnel, and small mistakes could cause defective diagnostics, which is an employee and customer risk.
Artificial intelligence has positively influenced healthcare facilities. Physicians and nurses acquire data-driven clinical support. Algorithms by this technology provide intuitive insights to the providers of care and health. The facility can automate tasks such as following up on bills, issuing insurances, record-holding, which means better and faster service provision for customers and easing the workforce of employees. It also makes health care accessible and enables more and diverse customers or rather patients (Davenport, 2019). Healthcare facilities and customers can use artificial intelligence to monitor their patients' health no matter where they are, send alarms in case of injury or accidents, and remind the patients and providers about health check-ups and medication. Machines, unlike human beings, barely have biases. They can only be driven by algorithms and data imposed on them by human beings. AI thus can be used to foster diversity by detecting potential biases and especially in decision-making processes. It can ensure that all people get equal opportunities in the workplace and that all customers are treated fairly and equally.
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Reference
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future healthcare journal , 6 (2), 94.
