A cloud-based approach to medical NLP.

Kyle Chard, Michael Russell, Yves A Lussier, Eneida A. Mendonça, Jonathan C. Silverstein

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.

Original languageEnglish (US)
Pages (from-to)207-216
Number of pages10
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2011
StatePublished - 2011
Externally publishedYes

Fingerprint

Natural Language Processing
Health Insurance Portability and Accountability Act
Quality Improvement
Semantics
Research

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Chard, K., Russell, M., Lussier, Y. A., Mendonça, E. A., & Silverstein, J. C. (2011). A cloud-based approach to medical NLP. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2011, 207-216.

A cloud-based approach to medical NLP. / Chard, Kyle; Russell, Michael; Lussier, Yves A; Mendonça, Eneida A.; Silverstein, Jonathan C.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, Vol. 2011, 2011, p. 207-216.

Research output: Contribution to journalArticle

Chard, K, Russell, M, Lussier, YA, Mendonça, EA & Silverstein, JC 2011, 'A cloud-based approach to medical NLP.', AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, vol. 2011, pp. 207-216.
Chard, Kyle ; Russell, Michael ; Lussier, Yves A ; Mendonça, Eneida A. ; Silverstein, Jonathan C. / A cloud-based approach to medical NLP. In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium. 2011 ; Vol. 2011. pp. 207-216.
@article{2cc6170549bb4ff782111df7e7da1ebb,
title = "A cloud-based approach to medical NLP.",
abstract = "Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.",
author = "Kyle Chard and Michael Russell and Lussier, {Yves A} and Mendon{\cc}a, {Eneida A.} and Silverstein, {Jonathan C.}",
year = "2011",
language = "English (US)",
volume = "2011",
pages = "207--216",
journal = "AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium",
issn = "1559-4076",
publisher = "American Medical Informatics Association",

}

TY - JOUR

T1 - A cloud-based approach to medical NLP.

AU - Chard, Kyle

AU - Russell, Michael

AU - Lussier, Yves A

AU - Mendonça, Eneida A.

AU - Silverstein, Jonathan C.

PY - 2011

Y1 - 2011

N2 - Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.

AB - Natural Language Processing (NLP) enables access to deep content embedded in medical texts. To date, NLP has not fulfilled its promise of enabling robust clinical encoding, clinical use, quality improvement, and research. We submit that this is in part due to poor accessibility, scalability, and flexibility of NLP systems. We describe here an approach and system which leverages cloud-based approaches such as virtual machines and Representational State Transfer (REST) to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Available architectures in which our Smntx (pronounced as semantics) system can be deployed include: virtual machines in a HIPAA-protected hospital environment, brought up to run analysis over bulk data and destroyed in a local cloud; a commercial cloud for a large complex multi-institutional trial; and within other architectures such as caGrid, i2b2, or NHIN.

UR - http://www.scopus.com/inward/record.url?scp=84874214085&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84874214085&partnerID=8YFLogxK

M3 - Article

C2 - 22195072

AN - SCOPUS:84874214085

VL - 2011

SP - 207

EP - 216

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

SN - 1559-4076

ER -