Optimize patient and resource management in mental health services with Mental Health Triage. This artificial intelligence-powered tool classifies patients according to their characteristics, severity and clinical needs, allowing you to effectively prioritize mental health care and provide personalized services based on patient needs.
Triage is a critical process for managing clinical risk and ensuring appropriate resource allocation when patient demand exceeds capacity.
While triage has been widely studied and implemented in emergency care, its application in mental health services has received less attention.
Mental Health Triage addresses this gap by leveraging machine learning algorithms to classify patients and assign mental health services based on urgency, severity and clinical needs.
Discover the power of Mental Health Triage and improve patient prioritization and personalized assignment of mental health services. Get to know the app by clicking here:
Patient classification: categorize patients into different groups according to their mental health characteristics, severity and clinical requirements, using machine learning techniques.
Efficient resource allocation: Prioritize patients according to their level of urgency, ensuring that those with the greatest need receive timely care.
Personalized mental services: personalize mental care by employing machine learning models to detect the most optimal choice of mental services for each individual.
Integration with the Ifeel application: Developed in collaboration with Ifeel, a leading emotional wellness company, Mental Health Triage integrates seamlessly with the Ifeel application for comprehensive mental health service assignment.
Simplified access to care: ensure efficient and equitable access to mental health services by optimizing patient flow and reducing waiting times.
*This project was carried out in collaboration with Ifeela leading company in emotional wellness, for its integration into Ifeel's app for mental health services.
