Structured Data Acquisition in Oncology

Abstract

Background: Demographic changes and improvement in therapy have shifted the focus of treatment towards chronic diseases and multiple health conditions. This has caused a tremendous increase in data per patient that needs to be integrated longitudinally and across departmental silos. The general increase in the volume of data per diagnostic examination and the number of diagnostic procedures per diagnostic pathway additionally accentuate this data integration challenge.

Summary: Subspecialization in medicine has led to largely autonomously organized departments with in-dependent IT ecosystems. This patchwork of IT infrastructure is not prepared to meet the data integration challenge. The resulting lack of integrated information makes the treatment of chronically ill patients increasingly difficult and error prone. Key Message: A sustainable method for data ac-quisition is needed to aid multimodal treatment and improve efficiency in healthcare.

Keywords: Data element; Data stream; Electronic health record; Structured reporting; Support decision-making.