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Cost Effective Clinical Research in Real Life

Reference number
Coordinator HEALTH SOLUTIONS SVENSKA AB - Health Solutions AB
Funding from Vinnova SEK 1 958 000
Project duration July 2018 - April 2020
Status Completed

Important results from the project

The goal of the project was to develop Real Life Study Tool (RLST), a tool for clinical studies with functionality to integrate with several data sources. The goal is met as RLST has been developed and integrated with several independent data sources, which has also been verified in a pilot project. The aim of the project was to simplify the use of health data to create cost-effective clinical research and follow-up of resource use in healthcare. This has been demonstrated by using data in existing data sources and thereby new/more studies can be conducted.

Expected long term effects

The result of RLST is a tool that enables clinical trials to be conducted in a more time-efficient manner and with data of higher quality. In the pilot project this was verified as a national decision support system and the national service platform were integrated with RLST. This facilitated the work of data collection and validation of data for end users (clinicians / researchers). In this way, end users can perform several clinical studies with higher data quality at a lower cost, since data can be obtained from several primary data sources.

Approach and implementation

The project has been implemented in accordance with the planned phases. The product has been adapted to the needs of the case, where the production and development of the product took place in phases 1-2. During phase 3, an integration engine was developed that allows one or more data sources to be integrated. In the final phase, we were given the opportunity to use RLST in a pilot project where knowledge and technology were tested and verified for a study together with a pharmaceutical company.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 19 June 2020

Reference number 2018-01859