%0 Conference Paper %1 PrangeSchmidtSonntag17CBMS %A Prange, Alexander %A Schmidt, Danilo %A Sonntag, Daniel %B 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017 %C Los Alamitos, CA %D 2017 %E Bamidis, Panagiotis D. %E Konstantinidis, Stathis Th. %E Rodrigues, Pedro Pereira %I IEEE Computer Society %K 01801 ieee paper dfki ai health information management multimodal interface zzz.iui %P 773--774 %R 10.1109/CBMS.2017.132 %T A Digital Pen Based Tool for Instant Digitisation and Digitalisation of Biopsy Protocols %X In order to improve medical processes in nephrology, we present an application that allows doctors to create biopsy protocols by using a digital pen on a tablet. The biopsy protocol app is seamlessly integrated into the existing infrastructure at the hospital. Compared to other reporting tools, we provide (1) real-time hand-writing/gesture recognition and real-time feedback on the recognition results on the screen; (2) a real-time digitisation into structured data and PDF documents; and (3) the mapping of the transcribed contents into concepts of the Banff classification. Our approach combines the benefits of paper with the automatic digitisation and digitalisation of hand-written user input. A fully digital and mobile approach should empower nephrologists to produce high quality data more effectively and in real-time so that it can be directly used in hospital processes. %@ 978-1-5386-1710-6

@inproceedings{PrangeSchmidtSonntag17CBMS, abstract = {In order to improve medical processes in nephrology, we present an application that allows doctors to create biopsy protocols by using a digital pen on a tablet. The biopsy protocol app is seamlessly integrated into the existing infrastructure at the hospital. Compared to other reporting tools, we provide (1) real-time hand-writing/gesture recognition and real-time feedback on the recognition results on the screen; (2) a real-time digitisation into structured data and PDF documents; and (3) the mapping of the transcribed contents into concepts of the Banff classification. Our approach combines the benefits of paper with the automatic digitisation and digitalisation of hand-written user input. A fully digital and mobile approach should empower nephrologists to produce high quality data more effectively and in real-time so that it can be directly used in hospital processes.}, added-at = {2018-03-08T11:19:23.000+0100}, address = {Los Alamitos, CA}, author = {Prange, Alexander and Schmidt, Danilo and Sonntag, Daniel}, biburl = {https://www.bibsonomy.org/bibtex/2a5fd7c4505fd0253cc7dc5f75459e9fa/flint63}, booktitle = {30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017}, doi = {10.1109/CBMS.2017.132}, editor = {Bamidis, Panagiotis D. and Konstantinidis, Stathis Th. and Rodrigues, Pedro Pereira}, file = {IEEE Digital Library:2017/PrangeSchmidtSonntag17CBMS.pdf:PDF}, groups = {public}, interhash = {0be931668accb6ae0ecad5c19346e7d5}, intrahash = {a5fd7c4505fd0253cc7dc5f75459e9fa}, isbn = {978-1-5386-1710-6}, keywords = {01801 ieee paper dfki ai health information management multimodal interface zzz.iui}, pages = {773--774}, publisher = {IEEE Computer Society}, timestamp = {2018-04-16T12:39:27.000+0200}, title = {A Digital Pen Based Tool for Instant Digitisation and Digitalisation of Biopsy Protocols}, username = {flint63}, year = 2017 }