A Digital Pen Based Tool for Instant Digitisation and Digitalisation of Biopsy Protocols
A. Prange, D. Schmidt, and D. Sonntag. 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, June 22--24, 2017, page 773--774. Los Alamitos, CA, IEEE Computer Society, (2017)
DOI: 10.1109/CBMS.2017.132
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.
%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
}