Individualisation of a web-based osteoarthritis treatment
|Lunds universitet - Avdelningen för Ortopedi
|Funding from Vinnova
|SEK 800 000
|June 2017 - June 2018
Purpose and goal
The purpose of the project was to identify specific characteristics, so-called phenotypes, among patients undergoing “Artrosskolan”, the primary and evidence-based treatment for osteoarthritis (OA), using artificial intelligence. The results would thereafter be implemented in Joint Academy, a web-based treatment program for OA patients which is based on the same concept as “Artrosskolan”. The results may also lead to an improved treatment program within “Artrosskolan”.
Expected results and effects
The results from the project have identified which types of patients that will either improve or deteriorate following treatment in “Artrosskolan”. By translating this knowledge to Joint Academy, we expect to be able to offer a more individualized treatment to a greater extent than today, thus improving treatment outcome. Similarly, the result may also lead to an improved treatment outcome within “Artrosskolan”.
Planned approach and implementation
In the project, we have had access to a database comprising patient-reported outcomes from approximately 70,000 OA patients. For each patient, up to 50 data points are reported. In order to identify patterns in this vast amounts of data, the database has been analyzed using artificial intelligence. Based on the results, we have created a screening form aimed at risk classifying future patients, which would enable a more tailored treatment.