/
Business Data
Other Affiliation: 
http://suregen.de
Personal Bio

Worked for two years as nursing assistant before studying Medical Informatics at the University of Heidelberg. Worked in and eventually lead a working group "Knowledge based Systems in Medicine" in the Center for Technology Transfer  Bad Oeynhausen. Built up a medical Informatics department in the Heart and Diabetes Center Northrhine-Westphalia, became head of hospital IT. Ph.D. thesis on multilingual  text generation for clinical documents. Product manager Cardiology IT  with Siemens AX, Forchheim, then Product Line Manager CVIS with Siemens SYNGO, Erlangen. Currently Clinical Director Clinical Services Philips Medical Systems, Böblingen.

Presentation title: 
Healthcare IT and NLG: Great synergies ahead?
Presentation description: 
The domain of healthcare can be viewed as a big, text generating enterprise: Clinical notes, findings, reports, protocols and letters are being created incessantly. More often than not, this is largely based on structured data, but still a human has to sit in front of a microphone and dictate. The resulting text is often "mined" for information that was present in the structured data already. The talk focusses on alternatives to this odd state of affairs. Employing Natural Language Generation to create medical documents from structured data seems not too complicated, but it meets a lot of difficulties which, for instance, stock exchange reports or wheather forecasts, are not faced with. Nevertheless, the problem should not be insolvable. A short demonstration highlights that such NLG systems can be built if the task is well understood.