@inproceedings{b8abe75053cd4d01985f32d5ea00e145,
title = "Problem-oriented patient record summary: An early report on a Watson application",
abstract = "As the use of Electronic Medical Records (EMRs) becomes widespread, the amount of data in an EMR becomes a challenge for its comprehension. We developed problem-oriented EMR summarization to address this issue, as a part of a larger effort of adapting IBM Watson to the medical domain. The problem-orientation refers to the central role of a patient's medical problems in the summary. The summarization uses a generated problem list, relates these generated medical problems to relevant clinical data, and organizes the clinical data in a medically meaningful manner. Watson analytics are used for creating the summarization. This is a step in building the next generation EMR, one that is based not on just keeping record but instead on a conceptual understanding of medicine, thereby crossing the threshold from record storage to an intelligent entity for clinical decision making.",
keywords = "Clinical summarization, Electronic Medical Records, Medical concepts, Problem-oriented patient record summary, Summarization, Text analysis, UMLS, Watson",
author = "Murthy Devarakonda and Dongyang Zhang and Tsou, {Ching Huei} and Mihaela Bornea",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/HealthCom.2014.7001855",
language = "English (US)",
series = "2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "281--286",
booktitle = "2014 IEEE 16th International Conference on e-Health Networking, Applications and Services, Healthcom 2014",
note = "2014 16th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2014 ; Conference date: 15-10-2014 Through 18-10-2014",
}