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Informatics in radiology: Render: an online searchable radiology study repository.
Radiographics. 2009 Sep-Oct; 29(5):1233-46.R

Abstract

Radiology departments are a rich source of information in the form of digital radiology reports and images obtained in patients with a wide spectrum of clinical conditions. A free text radiology report and image search application known as Render was created to allow users to find pertinent cases for a variety of purposes. Render is a radiology report and image repository that pools researchable information derived from multiple systems in near real time with use of (a) Health Level 7 links for radiology information system data, (b) periodic file transfers from the picture archiving and communication system, and (c) the results of natural language processing (NLP) analysis. Users can perform more structured and detailed searches with this application by combining different imaging and patient characteristics such as examination number; patient age, gender, and medical record number; and imaging modality. Use of NLP analysis allows a more effective search for reports with positive findings, resulting in the retrieval of more cases and terms having greater relevance. From the retrieved results, users can save images, bookmark examinations, and navigate to an external search engine such as Google. Render has applications in the fields of radiology education, research, and clinical decision support.

Authors+Show Affiliations

Department of Radiology, Massachusetts General Hospital, 25 New Chardon St, Suite 400E, Boston, MA 02114, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

19564253

Citation

Dang, Pragya A., et al. "Informatics in Radiology: Render: an Online Searchable Radiology Study Repository." Radiographics : a Review Publication of the Radiological Society of North America, Inc, vol. 29, no. 5, 2009, pp. 1233-46.
Dang PA, Kalra MK, Schultz TJ, et al. Informatics in radiology: Render: an online searchable radiology study repository. Radiographics. 2009;29(5):1233-46.
Dang, P. A., Kalra, M. K., Schultz, T. J., Graham, S. A., & Dreyer, K. J. (2009). Informatics in radiology: Render: an online searchable radiology study repository. Radiographics : a Review Publication of the Radiological Society of North America, Inc, 29(5), 1233-46. https://doi.org/10.1148/rg.295085036
Dang PA, et al. Informatics in Radiology: Render: an Online Searchable Radiology Study Repository. Radiographics. 2009 Sep-Oct;29(5):1233-46. PubMed PMID: 19564253.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Informatics in radiology: Render: an online searchable radiology study repository. AU - Dang,Pragya A, AU - Kalra,Mannudeep K, AU - Schultz,Thomas J, AU - Graham,Steven A, AU - Dreyer,Keith J, Y1 - 2009/06/29/ PY - 2009/7/1/entrez PY - 2009/7/1/pubmed PY - 2009/10/16/medline SP - 1233 EP - 46 JF - Radiographics : a review publication of the Radiological Society of North America, Inc JO - Radiographics VL - 29 IS - 5 N2 - Radiology departments are a rich source of information in the form of digital radiology reports and images obtained in patients with a wide spectrum of clinical conditions. A free text radiology report and image search application known as Render was created to allow users to find pertinent cases for a variety of purposes. Render is a radiology report and image repository that pools researchable information derived from multiple systems in near real time with use of (a) Health Level 7 links for radiology information system data, (b) periodic file transfers from the picture archiving and communication system, and (c) the results of natural language processing (NLP) analysis. Users can perform more structured and detailed searches with this application by combining different imaging and patient characteristics such as examination number; patient age, gender, and medical record number; and imaging modality. Use of NLP analysis allows a more effective search for reports with positive findings, resulting in the retrieval of more cases and terms having greater relevance. From the retrieved results, users can save images, bookmark examinations, and navigate to an external search engine such as Google. Render has applications in the fields of radiology education, research, and clinical decision support. SN - 1527-1323 UR - https://www.unboundmedicine.com/medline/citation/19564253/Informatics_in_radiology:_Render:_an_online_searchable_radiology_study_repository_ L2 - https://pubs.rsna.org/doi/10.1148/rg.295085036?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -