Abstract

We read this article by Lee et al with great interest. The authors ingeniously integrated machine learning and health economics to design and validate a value based psychotherapist matching algorithm. Their approach ensured significant improvement in patients’ anxiety symptoms while reducing the average treatment cost by 20% and shortening the treatment course by 2 visits, truly achieving high-quality and affordable mental health services. The rigorous research design, proficient handling of real-world big data, and consideration of both cost and efficacy indicators fully demonstrate the wisdom and care of interdisciplinary innovation, making it a model for value oriented reform in the field of digital healthcare.