Creating optimal national datasets with the existing national infrastructure as a base

Important results from the project

The aim of this collaborative project was to facilitate implementation of new treatment methods (both pharma and MedTech) on the Swedish market and at the same time ensure that these are given to the right patients, in a fair and cost-effective way. The project chose to handle this challenge by improving existing data collections and thereby creating optimal national data sets as support for the processes from horizon scanning, contract writing, introductions and all the way to follow-ups.

Expected long term effects

Historically, showed that data was available, but rarely in one database. Hence, data is of great importance to industry, authorities, academia and healthcare in both the introduction and follow-up of products. Process models was set up to facilitatet a standardized method in the creation of optimal national datasets, regardless of diagnosis. Through a common understanding of the need for variables between industry, authorities, healthcare and academia, national infrastructures can be used to increase quality and standardize data entry in datasets.

Approach and implementation

Lessons learned showed that implementation would have been facilitated by the use of optimal national datasets. Furthermore, two areas were focused on: data-generating medical technology products and upcoming treatment drugs for Hepatit B/D. Technical development and evaluation of the fulfillment of the aim was carried out. Finally, sub-projects were carried out with the aim of proving that the procedure met the eligibility requirements, as well as objective, which were set up. As well as creating a predictive algorithm that aims to predict care needs.