Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions.

ABSTRACT: The transfer of new insights from basic or clinical research into clinical routine is usually a lengthy and time-consuming process. Conversely, there are still many barriers to directly provide and use routine data in the context of basic and clinical research. In particular, no coherent software solution is available that allows a convenient and immediate bidirectional transfer of data between concrete treatment contexts and research settings. Here, we present a generic framework that integrates health data (e.g., clinical, molecular) and computational analytics (e.g., model predictions, statistical evaluations, visualizations) into a clinical software solution which simultaneously supports both patient-specific healthcare decisions and research efforts, while also adhering to the require

SUBMITTER: Hoffmann K 

PROVIDER: S-EPMC10184916 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature