D8.4 Landscape Analysis, Gap Analysis and Forecast Assessment for Use of IDMP in Big Health Data

In this deliverable D8.4, pertaining to Task T8.2 (IDMP and Big Data), the following items are developed :
● a landscape analysis of the Big Data Pharmaco-epidemiology networks, presented in an abstract of the D8.3 that covered this issue
● a gap analysis of the remaining issues that infringe the implementation of IDMP in the clinical realm and the realm of science in Drug Utilisation Research and Pharmaco-epidemiology
● a forecast analysis of the future of IDMP implementation and the facilitators for its success
In addition, we report on the efforts made to conduct a pharmaco-epidemiological comparative study of exposure to ibuprofen sodium versus ibuprofen potassium on various cardiovascular outcomes.
An analysis is made of the common data models in big data networks, comparing the variables for medicinal products in OMOP and in CONCEPTION databases, and the implications for IDMP.
The results of a survey on national regulations for substitution and INN prescribing are presented, together with a discussion of their consequences for IDMP implementation.
An ontology of dose form is presented, and a hierarchy of substance is proposed.
Finally, we report on the construction of a minimal data set of full samples of medicinal product packs, standardised to IDMP, pertaining to 4 substances in 10 countries, to allow first experiments in UNICOM pilots and insights for IDMP implementation in national drug databases and pharmaco-epidemiological Big Data Networks.