Design and clinical study of prognosis module for monitoring disease activity in RA patients
|Coordinator||Elsa Science AB|
|Funding from Vinnova||SEK 2 000 000|
|Project duration||March 2019 - December 2020|
|Venture||Innovationsprojekt i företag 2018|
|Call||Innovationsprojekt i företag - hösten 2018|
Purpose and goal
The purpose of the prognosis module in Elsa is to enable follow-up compliance and disease activity with validated research data is used to determine how the patient is responds to treatment. When continuously logging medication, disease activity and life habits, the app will give an indication of the treatment progress and if a change of medication or life habits is needed. The goal is more control for the patient of their own life situation and to be one step closer to efficient self-care by the help of medical science and technology.
Expected results and effects
The module is expected to contribute to a better well-being for patients by making them more actively part of their life situation and gain more understanding of how their disease behaves. The results from the app could have information sent to the care-givers and enable a "Tight control" treatment of patients making the long time prognosis of disease much better than todays medical care. By giving the patient more control of their own disease, the care givers can remotely follow the patients disease activity and doctor appointments can be based on how patient is responding to treatment.
Planned approach and implementation
The module will be designed and developed by first arranging patient interviews and research other competition and comparator modules. An algoritm is then created for the module based on KI´s research data and developed to describe the course of the disease for RA patients and how it is based on specific treatment, individual characteristics and life habits. The final algoritm will be implemented in the Elsa app. When the algoritms are integrated a randomised clinical trial will be done in order to evaluate the effect of the Elsa app with regards to the course of the disease.