Pain and anesthesia information are crucial elements to identifying surgery-related processes and outcomes. However pain is not consistently recorded in the electronic medical record. Even when recorded, the rich complex granularity of the pain experience may be lost. Similarly, anesthesia information is recorded using local electronic collection systems; though the accuracy and completeness of the information is unknown. We propose an annotation schema to capture pain, pain management, and anesthesia event information.

Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction / Yim, W. -W.; Tedesco, D.; Curtin, C.; Hernandez-Boussard, T.. - (2017), pp. 200-205. (Intervento presentato al convegno 16th SIGBioMed Workshop on Biomedical Natural Language Processing, BioNLP 2017 tenutosi a can nel 2017).

Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction

Tedesco D.;
2017-01-01

Abstract

Pain and anesthesia information are crucial elements to identifying surgery-related processes and outcomes. However pain is not consistently recorded in the electronic medical record. Even when recorded, the rich complex granularity of the pain experience may be lost. Similarly, anesthesia information is recorded using local electronic collection systems; though the accuracy and completeness of the information is unknown. We propose an annotation schema to capture pain, pain management, and anesthesia event information.
2017
Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction / Yim, W. -W.; Tedesco, D.; Curtin, C.; Hernandez-Boussard, T.. - (2017), pp. 200-205. (Intervento presentato al convegno 16th SIGBioMed Workshop on Biomedical Natural Language Processing, BioNLP 2017 tenutosi a can nel 2017).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2970427
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