RADIOLOGICAL REPORTS: A COMPARISON BETWEEN THE TRANSMISSION EFFICIENCY OF INFORMATION IN FREE TEXT AND IN STRUCTURED REPORTS

被引:29
|
作者
Barbosa, Flavio [1 ]
Zanini Maciel, Lea Maria [3 ]
Vieira, Elizabeth Melmi [4 ]
de Azevedo Marques, Paulo M. [2 ]
Elias, Jorge, Jr. [2 ]
Muglia, Valdair Francisco [2 ]
机构
[1] Univ Sao Paulo, Hosp Clin, Ribeirao Preto Sch Med, CIA, BR-14049 Ribeirao Preto, SP, Brazil
[2] Univ Sao Paulo, Hosp Clin, Ribeirao Preto Sch Med, Internal Med Dept,Div Radiol, BR-14049 Ribeirao Preto, SP, Brazil
[3] Univ Sao Paulo, Hosp Clin, Ribeirao Preto Sch Med, Internal Med Dept,Div Endocrinol, BR-14049 Ribeirao Preto, SP, Brazil
[4] Univ Sao Paulo, Hosp Clin, Ribeirao Preto Sch Med, Dept Social Med, BR-14049 Ribeirao Preto, SP, Brazil
关键词
Computerized reports; Free text; Thyroid sonography; COMMUNICATION;
D O I
10.1590/S1807-59322010000100004
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
INTRODUCTION: This work proposes to improve the transmission of information between requiring physicians and radiologists. OBJECTIVES: Evaluate the implementation of a structured report (SR) in a university hospital. METHODS: A model of a structured report for thyroid sonography was developed according to information gathered from radiologists and endocrinologists working in this field. The report was based on a web platform and installed as a part of a Radiological Information System (RIS) and a Hospital Information System (HIS). The time for the report generation under the two forms was evaluated over a four-month period, two months for each method. After this period, radiologists and requiring physicians were questioned about the two methods of reporting. RESULTS: For free text, 98 sonograms were reported to have thyroids with nodules in an average time of 8.71 (+/-4.11) minutes, and 59 sonograms of thyroids without nodules were reported in an average time of 4.54 (+/- 3.97) minutes. For SR, 73 sonograms in an average time of 6.08 (+/-3.8) minutes for thyroids with nodules and 3.67 (+/-2.51) minutes for thyroids without nodules. Most of the radiologists (76.2%) preferred the SR, as originally created or with suggested changes. Among endocrinologists, 80% preferred the SR. DISCUSSION: From the requiring physicians' perspective, the SR enabled standardization and improved information transmission. This information is valuable because physicians need reports prepared by radiologists. CONCLUSIONS: The implementation of a SR in a university hospital, under an RIS/HIS system, was viable. Radiologists and endocrinologists preferred the SR when compared to free text, and both agreed that the former improved the transmission of information.
引用
收藏
页码:15 / 21
页数:7
相关论文
共 50 条
  • [31] COVID-19 detection in radiological text reports integrating entity recognition
    Lopez-Ubeda, Pilar
    Carlos Diaz-Galiano, Manuel
    Martin-Noguerol, Teodoro
    Luna, Antonio
    Alfonso Urena-Lopez, L.
    Teresa Martin-Valdivia, M.
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2020, 127
  • [32] Integrating information about imaging biomarkers into structured radiology reports
    Pomar-Nadal, A.
    Perez-Castillo, C.
    Alberich-Bayarri, A.
    Garcia-Marti, G.
    Requena, R. Sanz
    Marti-Bonmati, L.
    [J]. RADIOLOGIA, 2013, 55 (03): : 188 - 194
  • [33] Structured radiology reports: what and how structured reports for breast mri during neoadjuvant therapy: what information do committees need?
    Garcia Mur, C.
    Garcia Barrado, A., I
    Cruz Ciria, S.
    [J]. RADIOLOGIA, 2022, 64 : 89 - 97
  • [34] Deep Learning to Classify Radiology Free-Text Reports
    Chen, Matthew C.
    Ball, Robyn L.
    Yang, Lingyao
    Moradzadeh, Nathaniel
    Chapman, Brian E.
    Larson, David B.
    Langlotz, Curtis P.
    Amrhein, Timothy J.
    Lungren, Matthew P.
    [J]. RADIOLOGY, 2018, 286 (03) : 845 - 852
  • [35] Selection of diagnosis with oncologic relevance information from histopathology free text reports: A machine learning approach
    Viscosi, Carmelo
    Fidelbo, Paolo
    Benedetto, Andrea
    Varvara, Massimo
    Ferrante, Margherita
    [J]. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2022, 160
  • [36] Eye-tracking differences between free text and template radiology reports: a pilot study
    Harris, Deangelo
    Yousem, David M.
    Krupinski, Elizabeth A.
    Motaghi, Mina
    [J]. JOURNAL OF MEDICAL IMAGING, 2023, 10
  • [37] Design and evaluation of an ontology based information extraction system for radiological reports
    Soysal, Ergin
    Cicekli, Ilyas
    Baykal, Nazife
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2010, 40 (11-12) : 900 - 911
  • [38] Semantic Information Extracting System for Classification of Radiological Reports in Radiology Information System (RIS)
    Shi, Liehang
    Ling, Tonghui
    Zhang, Jianguo
    [J]. MEDICAL IMAGING 2016: PACS AND IMAGING INFORMATICS: NEXT GENERATION AND INNOVATIONS, 2016, 9789
  • [39] Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis
    Dhrangadhariya, Anjani
    Millius, Sandy
    Thouly, Cyril
    Rizk, Benoit
    Fournier, Dominique
    Mueller, Henning
    Brat, Hugues
    [J]. DIGITAL PERSONALIZED HEALTH AND MEDICINE, 2020, 270 : 58 - 62
  • [40] Comparison of evaluation methods using structured usability problem reports
    Lavery, D
    Cockton, G
    Atkinson, MP
    [J]. BEHAVIOUR & INFORMATION TECHNOLOGY, 1997, 16 (4-5) : 246 - 266