Standard
Recording events, interactions, and annotations to communicate reasoning in medical situations. / Al-Masslawi, Dawood; Fels, Sidney
; Lea, Rodger et al.
UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 1361-1368 (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Al-Masslawi, D, Fels, S
, Lea, R & Currie, LM 2014,
Recording events, interactions, and annotations to communicate reasoning in medical situations. in
UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Association for Computing Machinery, Inc, pp. 1361-1368, 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014, Seattle, United States,
13/09/14.
https://doi.org/10.1145/2638728.2641716
APA
Al-Masslawi, D., Fels, S.
, Lea, R., & Currie, L. M. (2014).
Recording events, interactions, and annotations to communicate reasoning in medical situations. In
UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1361-1368). (UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing). Association for Computing Machinery, Inc.
https://doi.org/10.1145/2638728.2641716
Vancouver
Author
Bibtex
@inproceedings{fb7b82c08d1e424592899ada1615680d,
title = "Recording events, interactions, and annotations to communicate reasoning in medical situations",
abstract = "In recent years data collection and communication has become increasingly ubiquitous, to the extent where it is possible to capture and communicate many parts of live experiences. In a novel approach, we propose recording of events, interaction, and annotations in order to access characteristics that communicate the reasoning behind the decision-making of care providers. Recording is done with free-form and implicit data collection, and communication of spatio-chronological characteristics of events, interactions, and annotations are done with augmented interfaces. This enables care providers, who make decisions, to identify what factors have played the most significant role in the decision-making. In the context of chronic care, this research is aiming at, better understanding how to capture and communicate the medical decision-making process. Our preliminary experiments show success in communicating the reasoning processes of the document analysis sessions in a lab environment. We have started to look at how this improves reliability and practice outcomes of the decision-making in real-life medical environment.",
keywords = "Capture and access, Chronic diseases, Decision support, Healthcare, Ubiquitous computing",
author = "Dawood Al-Masslawi and Sidney Fels and Rodger Lea and Currie, {Leanne M.}",
year = "2014",
month = sep,
day = "13",
doi = "10.1145/2638728.2641716",
language = "English",
series = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "1361--1368",
booktitle = "UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
note = "2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 ; Conference date: 13-09-2014 Through 17-09-2014",
}
RIS
TY - GEN
T1 - Recording events, interactions, and annotations to communicate reasoning in medical situations
AU - Al-Masslawi, Dawood
AU - Fels, Sidney
AU - Lea, Rodger
AU - Currie, Leanne M.
PY - 2014/9/13
Y1 - 2014/9/13
N2 - In recent years data collection and communication has become increasingly ubiquitous, to the extent where it is possible to capture and communicate many parts of live experiences. In a novel approach, we propose recording of events, interaction, and annotations in order to access characteristics that communicate the reasoning behind the decision-making of care providers. Recording is done with free-form and implicit data collection, and communication of spatio-chronological characteristics of events, interactions, and annotations are done with augmented interfaces. This enables care providers, who make decisions, to identify what factors have played the most significant role in the decision-making. In the context of chronic care, this research is aiming at, better understanding how to capture and communicate the medical decision-making process. Our preliminary experiments show success in communicating the reasoning processes of the document analysis sessions in a lab environment. We have started to look at how this improves reliability and practice outcomes of the decision-making in real-life medical environment.
AB - In recent years data collection and communication has become increasingly ubiquitous, to the extent where it is possible to capture and communicate many parts of live experiences. In a novel approach, we propose recording of events, interaction, and annotations in order to access characteristics that communicate the reasoning behind the decision-making of care providers. Recording is done with free-form and implicit data collection, and communication of spatio-chronological characteristics of events, interactions, and annotations are done with augmented interfaces. This enables care providers, who make decisions, to identify what factors have played the most significant role in the decision-making. In the context of chronic care, this research is aiming at, better understanding how to capture and communicate the medical decision-making process. Our preliminary experiments show success in communicating the reasoning processes of the document analysis sessions in a lab environment. We have started to look at how this improves reliability and practice outcomes of the decision-making in real-life medical environment.
KW - Capture and access
KW - Chronic diseases
KW - Decision support
KW - Healthcare
KW - Ubiquitous computing
U2 - 10.1145/2638728.2641716
DO - 10.1145/2638728.2641716
M3 - Conference contribution/Paper
AN - SCOPUS:84908667944
T3 - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 1361
EP - 1368
BT - UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
T2 - 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
Y2 - 13 September 2014 through 17 September 2014
ER -