CASIDE: A data model for interoperable cancer survivorship information based on FHIR.

ABSTRACT: Cancer survivorship has traditionally received little research attention although it is associated with a variety of long-term consequences and also many other comorbidities. There is an urgent need to increase research on this area, and the secondary use of healthcare data has the potential to provide valuable insights on survivors' health trajectories. However, cancer survivors' data is often stored in silos and collected inconsistently. In this study we present CASIDE, an interoperable data model for cancer survivorship information that aims to accelerate the secondary use of healthcare data and data sharing across institutions. It is designed to provide a holistic view of the cancer survivor, taking into account not just the clinical data but also the patient's own perspective, and is

SUBMITTER: Gonzalez-Castro L 

PROVIDER: S-EPMC9930408 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature