Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment quality. It is worth exploring if a solution for increasing the efficiency in this healthcare section is to use Artificial Intelligence (AI). An innovative project on developing, testing, and implementing specialised AI software in its services is being performed in Janus Rehabilitation. The software, named Völvan in Icelandic, can identify latent areas of possible interest in patient's circumstances which might affect the outcome of their treatment, and assist specialists in providing timely and appropriate interventions. The accuracy, precision, and recall of its predictions have been verified in two recent publications. Völvan seems to be a promising tool for individualised rehabilitation, where patients are dealing with difficult and complex problems. Janus Rehabilitation is in the process of launching Völvan as an unbiased member of the interdisciplinary teams of specialists. The aim of this report is to introduce Völvan and the associated research.

Fig. 1  Flowchart of Völvan’s automated updates with new data and how it is used.

Fig. 2  Völvan’s accuracy and precision over a 10 month period.

Fig. 3  Distribution of vocational rehabilitation length.

Fig. 4 Measurements and predictions of Icelandic Quality of Life in a polargraph. Current status (orange line), last status (blue line), and expected status (green line).

Table I  Mean, standard deviation, and range of Völvan’s performance on Icelandic Quality of Life. ⁷