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insights - IMS Health

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INSIGHTS | PHARMACOGENOMICS<br />

Taking the aforementioned considerations into account, much of the relevant data is actually<br />

already routinely collected in practice. However, the sources are fragmented. Consequently,<br />

often de novo data collection projects are being developed which provide the full and<br />

complete information that is needed. However, these are expensive and time consuming.<br />

An alternative is the linkage of several routine databases (+/- ad hoc data collection). In this<br />

case, linking pathology and/or (pharmaco-) genomics databases, cancer registries and<br />

administrative healthcare or claims databases would provide an ultimately comprehensive RWE<br />

platform allowing for robust pharmacoepidemiology and pharmacovigilance research in<br />

oncology (Figure 2). In Europe, pathology and laboratory databases and cancer registries<br />

provide more details on diagnosis (eg, staging, histological classification, receptor status, etc);<br />

administrative healthcare databases (EMR) and to a certain extent claims data, generally<br />

provide <strong>insights</strong> into treatment and (co-) morbidities; pathology databases provide more<br />

information on, for example, biomarkers to the extent that they are used in real-world<br />

practice.<br />

In terms of the patient population segmentation driven by PGx, sample size is an important<br />

consideration and often limiting factor in pharmacoepidemiology and pharmacovigilance. To<br />

increase sample size, multiple national databases would need to be harmonized and integrated.<br />

The importance of managing the heterogeneity of underlying healthcare systems, coding and<br />

treatment pathways, and technical aspects (hardware limits) must be taken into account,<br />

particularly in relation to biobanks and PGx databases given their extensive size.<br />

FIGURE 2: LINKING FRAGMENTED DATA SOURCES COVERING CANCER CARE<br />

Pathology<br />

Cancer<br />

register<br />

Genotypic<br />

data<br />

PATIENT CORE<br />

Rx (community<br />

& in-patient)<br />

Microbiology Hospitalizations<br />

Mortality Clinical Lab<br />

PAGE 48 <strong>IMS</strong> HEALTH ECONOMICS & OUTCOMES RESEARCH<br />

GP

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