TY - GEN
T1 - Algorithms and a tool for automatic decryption of clinical notes
AU - Abbott, Simon G.
AU - Ade-Ibijola, Abejide
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Natural Language Processing (NLP) presents a set of techniques that are finding applications in modern healthcare, for the extraction and generation text. Clinical notes are classically originated and derived from various sources of narratives such as reports, referral letters, discharge notes and clinical summaries. In this paper, we present algorithms and a tool for enabling each member of a medical team to read and understand each others medical notes, using NLP techniques. We refer to this process as the decryption, or the deciphering, of complex clinical notes into simple readable language. We have presented a tool called the Clinical Note Translator (CNT). Based on the replacement of technical terms in clinical notes, CNT translates these notes to plain text. This solution is expected to assist multidisciplinary medical teams in understanding peer-to-peer expert notes.
AB - Natural Language Processing (NLP) presents a set of techniques that are finding applications in modern healthcare, for the extraction and generation text. Clinical notes are classically originated and derived from various sources of narratives such as reports, referral letters, discharge notes and clinical summaries. In this paper, we present algorithms and a tool for enabling each member of a medical team to read and understand each others medical notes, using NLP techniques. We refer to this process as the decryption, or the deciphering, of complex clinical notes into simple readable language. We have presented a tool called the Clinical Note Translator (CNT). Based on the replacement of technical terms in clinical notes, CNT translates these notes to plain text. This solution is expected to assist multidisciplinary medical teams in understanding peer-to-peer expert notes.
KW - Clinical notes
KW - Information extraction
KW - Natural language processing
KW - Parsers
UR - http://www.scopus.com/inward/record.url?scp=85081575475&partnerID=8YFLogxK
U2 - 10.1109/ISCMI47871.2019.9004426
DO - 10.1109/ISCMI47871.2019.9004426
M3 - Conference contribution
AN - SCOPUS:85081575475
T3 - 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
SP - 137
EP - 143
BT - 2019 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Soft Computing and Machine Intelligence, ISCMI 2019
Y2 - 19 November 2019 through 20 November 2019
ER -