Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports

John David N. Dionisio; Usha Sinha; Benjamin Dai; Ricky Taira; Greg Tashima; Michael Golamco; Hooshang Kangarloo

Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports

John David N. Dionisio, Usha Sinha, Benjamin Dai, Ricky Taira, Greg Tashima, Michael Golamco, Hooshang Kangarloo

Research output: Contribution to journal › Article › peer-review

Abstract

Our objectives were to develop a user-friendly graphic interface for a module that integrates traditional radiology reporting, natural language processing, and editing capabilities; to facilitate the structuring of radiology reports as part of routine clinical practice; to use a commercial speech recognition module for online transcription; and to implement the module in a hardware-independent environment.

After implementation, the module was tested with 150 chest radiology reports by two radiologists and assessed for ease of use and accuracy. Overall, accuracy was close to 90% and user satisfaction was high. When radiology reports are structured as a part of routine clinical practice, it is possible to accomplish intelligent indexing and retrieval to facilitate teaching and research.

Supported by National Institutes of Health grant NCI:2P01CA51198-06.

Read More: http://www.ajronline.org/doi/abs/10.2214/ajr.175.3.1750609

Original language	American English
Pages (from-to)	609-612
Journal	American Journal of Roentgenology
Volume	175
Issue number	3
State	Published - Sep 2000

Keywords

radiology
natural language processing
speech recognition

Disciplines

Computer Sciences

Cite this

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title = "Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports",

abstract = " Our objectives were to develop a user-friendly graphic interface for a module that integrates traditional radiology reporting, natural language processing, and editing capabilities; to facilitate the structuring of radiology reports as part of routine clinical practice; to use a commercial speech recognition module for online transcription; and to implement the module in a hardware-independent environment. After implementation, the module was tested with 150 chest radiology reports by two radiologists and assessed for ease of use and accuracy. Overall, accuracy was close to 90% and user satisfaction was high. When radiology reports are structured as a part of routine clinical practice, it is possible to accomplish intelligent indexing and retrieval to facilitate teaching and research. Supported by National Institutes of Health grant NCI:2P01CA51198-06. Read More: http://www.ajronline.org/doi/abs/10.2214/ajr.175.3.1750609 ",

keywords = "radiology, natural language processing, speech recognition",

author = "Dionisio, {John David N.} and Usha Sinha and Benjamin Dai and Ricky Taira and Greg Tashima and Michael Golamco and Hooshang Kangarloo",

note = "pSinha US, Dai BY, Johnson DB, Taira RK, Dionisio JDN, Tashima GH, Golamco M, Kangarloo H. “Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports.” American Journal of Roentgenology 175:609-612, 2000./p",

year = "2000",

month = sep,

language = "American English",

volume = "175",

pages = "609--612",

journal = "American Journal of Roentgenology",

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TY - JOUR

T1 - Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports

AU - Dionisio, John David N.

AU - Sinha, Usha

AU - Dai, Benjamin

AU - Taira, Ricky

AU - Tashima, Greg

AU - Golamco, Michael

AU - Kangarloo, Hooshang

N1 - pSinha US, Dai BY, Johnson DB, Taira RK, Dionisio JDN, Tashima GH, Golamco M, Kangarloo H. “Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports.” American Journal of Roentgenology 175:609-612, 2000./p

PY - 2000/9

Y1 - 2000/9

N2 - Our objectives were to develop a user-friendly graphic interface for a module that integrates traditional radiology reporting, natural language processing, and editing capabilities; to facilitate the structuring of radiology reports as part of routine clinical practice; to use a commercial speech recognition module for online transcription; and to implement the module in a hardware-independent environment. After implementation, the module was tested with 150 chest radiology reports by two radiologists and assessed for ease of use and accuracy. Overall, accuracy was close to 90% and user satisfaction was high. When radiology reports are structured as a part of routine clinical practice, it is possible to accomplish intelligent indexing and retrieval to facilitate teaching and research. Supported by National Institutes of Health grant NCI:2P01CA51198-06. Read More: http://www.ajronline.org/doi/abs/10.2214/ajr.175.3.1750609

AB - Our objectives were to develop a user-friendly graphic interface for a module that integrates traditional radiology reporting, natural language processing, and editing capabilities; to facilitate the structuring of radiology reports as part of routine clinical practice; to use a commercial speech recognition module for online transcription; and to implement the module in a hardware-independent environment. After implementation, the module was tested with 150 chest radiology reports by two radiologists and assessed for ease of use and accuracy. Overall, accuracy was close to 90% and user satisfaction was high. When radiology reports are structured as a part of routine clinical practice, it is possible to accomplish intelligent indexing and retrieval to facilitate teaching and research. Supported by National Institutes of Health grant NCI:2P01CA51198-06. Read More: http://www.ajronline.org/doi/abs/10.2214/ajr.175.3.1750609

KW - radiology

KW - natural language processing

KW - speech recognition

UR - https://digitalcommons.lmu.edu/cs_fac/10

M3 - Article

VL - 175

SP - 609

EP - 612

JO - American Journal of Roentgenology

JF - American Journal of Roentgenology

IS - 3

ER -

Interactive Software for Generation and Visualization of Structured Findings in Radiology Reports

Abstract

Keywords

Disciplines

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