Optimizing the Analytical Value of Oncology-Related Data Based on an In-Memory Analysis Layer: Development and Assessment of the Munich Online Comprehensive Cancer Analysis Platform.

Daniel Nasseh Sophie Schneiderbauer Michael Lange Diana Schweizer Volker Heinemann Claus Belka Ranko Cadenovic Laurence Buysse Nicole Erickson Michael Mueller Karsten Ulrich Kortuem Maximilian Niyazi Sebastian N Marschner Theres Fey

Published in: Journal of medical Internet research (2020)

The system has been well-received by a focus group of physicians within an initial prerollout. Aside from improving data transparency, the system's main benefits are its quality and process control capabilities, knowledge discovery, and hypothesis generation. Limitations such as run time, governance, or misinterpretation of data are considered.

Keyphrases

electronic health record
big data
primary care
high throughput
social media
data analysis
papillary thyroid
public health
mass spectrometry
quality improvement
artificial intelligence
deep learning
childhood cancer
single cell