Related Experiment Video
Updated: May 24, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Bridging Routine Data and Clinical Research: A Structured Approach to Data Preprocessing
Matthias Katzensteiner1, Darian Liehr1, Oliver J Bott1
1Data|H Institute for Applied Data Science, Faculty III - Media, Information and Design, University of Applied Sciences and Arts Hanover, Germany.
None:
The secondary use of routine clinical data remains challenging due to heterogeneity and irregularity. We present a structured three-step preprocessing framework to transform routine healthcare data into research-compatible datasets. The approach comprises recursive event classification, context-sensitive annotation and time series harmonisation to construct indication-specific timelines and cohort-wide comparable data. Applied to a real-world use case in kidney transplant research, the framework enabled the generation of structured datasets suitable for statistical analysis and machine learning. The methodology provides a transferable foundation for improving the usability of routine data for clinical research and real-world evidence generation.
More Related Videos
09:00TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
Published on: April 13, 2021
06:55Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Related Concept Videos
Statistical Software for Data Analysis and Clinical Trials
Data Collection I
Clinical Trials
There are four phases in a clinical trial. A phase one...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Statistical Methods for Analyzing Epidemiological Data
Data Collection II