Ablemind method: Creating value in mental health care with data-driven insights

Purpose and goal: This project implements and test a ground-breaking mental health assessment tool based on state-of-the-art AI. It is achieved through deep-cocreation between Ablemind (product owner) and requirement owners including a patient organization (Balans Libra) and healthcare clinics (Praktikertjänst, Sund Psykologi).

The aim is to create value in the mental health care with accurate and descriptive data-driven insights. Expected results and effects: The Ablemind method benefits mental healthcare through increasing accuracy, quality, and automation, by providing precise, safe, and standardized tools for assessments. This will improve treatment, recovery,

quality of care and life, while also increasing efficiency and cutting costs from manual care labor. It will also reduce queues, and benefit the economy, e.g., with faster and better care decreasing sick-leave. This ehealth solution empowers the patient and increases access to quality healthcare to the many people.

Approach and implementation:

In-depth interviews with businesses have made us realize that an integrated system that benefits patients, clinicians, and healthcare providers is needed to achieve the full potential of data-driven insights via the Ablemind method. This project is a collaboration between the product owner, patients, doctors,

and clinics. The project will lead to a fully integrated Ablemind method, where each component contributes to better, high-quality care.