An Artificial Intelligence Enabled Clinical Decision Support System In Mental Health Disorder

Abstract

Mental health disorders contribute for more years ‘lived with disability’ (YLDs) than any other health problem today, with about 30% of all persons experiencing a mental health disorder during their lives. A medically diagnosed mental health issue affects over half of the population at any given moment. Despite this, only about a third of people with mental illnesses in the world receive the treatment they need. Failure to receive a quick diagnosis and proper early management for neuropsychiatric disorders increases the chance of comorbid mental health issues as well as behavioural issues. However, computers or, to be more accurate, clinical decision support systems need to do the majority of this work. A clinical decision support system (CDSS) is a cutting-edge computer programme that aids medical workers in making decisions while treating patients. CDSS provides real-time information and recommendations to doctors based on established clinical guidelines and vast data sets. The CDSS is a system for diagnosing and treating mental diseases. The goal is to increase the integrity, expertise, and efficacy of mental health services (MHS). This article examines how these strategies can aid clinicians to make better, faster, and more accurate judgments.