TY - GEN
T1 - Implementation of a system for intelligent summarization of longitudinal clinical records
AU - Goldstein, Ayelet
AU - Shahar, Yuval
PY - 2013/12/1
Y1 - 2013/12/1
N2 - Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true for chronic-disease domains, but also in other clinical domains. In our previous work, we have suggested a general framework for performing this task, given a time-oriented clinical database, and appropriate formal abstraction and summarization knowledge. We have recently developed a prototype system, CliniText, which demonstrates our ideas. Our prototype combines knowledge-based temporal data abstraction, textual summarization, abduction, and natural-language generation techniques, to generate an intelligent textual summary of longitudinal clinical data. We demonstrate both our methodology, and the feasibility of providing a free-text summary of longitudinal electronic patient records, by generating a discharge summary of a patient from the MIMIC database, who had undergone a Coronary Artery Bypass Graft operation.
AB - Physicians are required to interpret, abstract and present in free-text large amounts of clinical data in their daily tasks. This is especially true for chronic-disease domains, but also in other clinical domains. In our previous work, we have suggested a general framework for performing this task, given a time-oriented clinical database, and appropriate formal abstraction and summarization knowledge. We have recently developed a prototype system, CliniText, which demonstrates our ideas. Our prototype combines knowledge-based temporal data abstraction, textual summarization, abduction, and natural-language generation techniques, to generate an intelligent textual summary of longitudinal clinical data. We demonstrate both our methodology, and the feasibility of providing a free-text summary of longitudinal electronic patient records, by generating a discharge summary of a patient from the MIMIC database, who had undergone a Coronary Artery Bypass Graft operation.
UR - http://www.scopus.com/inward/record.url?scp=84893343034&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-319-03916-9_6
DO - https://doi.org/10.1007/978-3-319-03916-9_6
M3 - Conference contribution
SN - 9783319039152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 68
EP - 82
BT - Process Support and Knowledge Representation in Health Care - AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Revised Selected Papers
T2 - AIME 2013 Joint Workshop on Knowledge Representation for Healthcare and Process-Oriented Information Systems in Healthcare, KR4HC 2013/ProHealth 2013
Y2 - 1 June 2013 through 1 June 2013
ER -