Literature DB >> 27137649

Development of an IHE MRRT-compliant open-source web-based reporting platform.

Daniel Pinto Dos Santos1, G Klos2, R Kloeckner2, R Oberle2, C Dueber2, P Mildenberger2.   

Abstract

OBJECTIVES: To develop a platform that uses structured reporting templates according to the IHE Management of Radiology Report Templates (MRRT) profile, and to implement this platform into clinical routine.
METHODS: The reporting platform uses standard web technologies (HTML / JavaScript and PHP / MySQL) only. Several freely available external libraries were used to simplify the programming. The platform runs on a standard web server, connects with the radiology information system (RIS) and PACS, and is easily accessible via a standard web browser.
RESULTS: A prototype platform that allows structured reporting to be easily incorporated into the clinical routine was developed and successfully tested. To date, 797 reports were generated using IHE MRRT-compliant templates (many of them downloaded from the RSNA's radreport.org website). Reports are stored in a MySQL database and are easily accessible for further analyses.
CONCLUSION: Development of an IHE MRRT-compliant platform for structured reporting is feasible using only standard web technologies. All source code will be made available upon request under a free license, and the participation of other institutions in further development is welcome. KEY POINTS: • A platform for structured reporting using IHE MRRT-compliant templates is presented. • Incorporating structured reporting into clinical routine is feasible. • Full source code will be provided upon request under a free license.

Entities:  

Keywords:  Database; Medical informatics; Radiology; Reference standards; Technology

Mesh:

Year:  2016        PMID: 27137649     DOI: 10.1007/s00330-016-4344-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  19 in total

1.  Improving communication of diagnostic radiology findings through structured reporting.

Authors:  Lawrence H Schwartz; David M Panicek; Alexandra R Berk; Yuelin Li; Hedvig Hricak
Journal:  Radiology       Date:  2011-04-25       Impact factor: 11.105

Review 2.  Radiology reporting, past, present, and future: the radiologist's perspective.

Authors:  Bruce I Reiner; Nancy Knight; Eliot L Siegel
Journal:  J Am Coll Radiol       Date:  2007-05       Impact factor: 5.532

3.  Structure and content of radiology reports, a quantitative and qualitative study in eight medical centers.

Authors:  Jan M L Bosmans; Joost J Weyler; Paul M Parizel
Journal:  Eur J Radiol       Date:  2008-07-29       Impact factor: 3.528

Review 4.  Digitization of medicine: how radiology can take advantage of the digital revolution.

Authors:  King C Li; Peter Marcovici; Andrew Phelps; Christopher Potter; Allison Tillack; Jennifer Tomich; Srini Tridandapani
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

5.  The radiology report as seen by radiologists and referring clinicians: results of the COVER and ROVER surveys.

Authors:  Jan M L Bosmans; Joost J Weyler; Arthur M De Schepper; Paul M Parizel
Journal:  Radiology       Date:  2011-01-11       Impact factor: 11.105

6.  Reporting initiative of the Radiological Society of North America: progress and new directions.

Authors:  Tara A Morgan; Marta E Helibrun; Charles E Kahn
Journal:  Radiology       Date:  2014-12       Impact factor: 11.105

7.  Satisfaction of imaging report rendered in emergency setting: a survey of radiology and referring physicians.

Authors:  Naree Manoonchai; Rathachai Kaewlai; Arrug Wibulpolprasert; Ugrit Boonpramarn; Adul Tohmee; Sith Phongkitkarun
Journal:  Acad Radiol       Date:  2015-03-07       Impact factor: 3.173

Review 8.  Evidence-based guideline for the written radiology report: methods, recommendations and implementation challenges.

Authors:  Stacy K Goergen; Felicity J Pool; Tari J Turner; Jane E Grimm; Mark N Appleyard; Carmel Crock; Michael C Fahey; Michael F Fay; Nicholas J Ferris; Susan M Liew; Richard D Perry; Ann Revell; Grant M Russell; Shih-Chang S C Wang; Christian Wriedt
Journal:  J Med Imaging Radiat Oncol       Date:  2012-12-28       Impact factor: 1.735

Review 9.  [Reporting initiatives. An update on treatment in radiology].

Authors:  J-M Hempel; D Pinto dos Santos; R Kloeckner; C Dueber; P Mildenberger
Journal:  Radiologe       Date:  2014-07       Impact factor: 0.635

10.  Structured reporting: a fusion reactor hungry for fuel.

Authors:  Jan M L Bosmans; Emanuele Neri; Osman Ratib; Charles E Kahn
Journal:  Insights Imaging       Date:  2014-12-05
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  7 in total

1.  A proof of concept for epidemiological research using structured reporting with pulmonary embolism as a use case.

Authors:  Daniel Pinto Dos Santos; Sonja Scheibl; Gordon Arnhold; Aline Maehringer-Kunz; Christoph Düber; Peter Mildenberger; Roman Kloeckner
Journal:  Br J Radiol       Date:  2018-06-05       Impact factor: 3.039

2.  A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing.

Authors:  Florian Jungmann; G Arnhold; B Kämpgen; T Jorg; C Düber; P Mildenberger; R Kloeckner
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

3.  Radiological Structured Report Integrated with Quantitative Imaging Biomarkers and Qualitative Scoring Systems.

Authors:  A Mañas-García; I González-Valverde; E Camacho-Ramos; A Alberich-Bayarri; J A Maldonado; M Marcos; M Robles
Journal:  J Digit Imaging       Date:  2022-02-01       Impact factor: 4.903

Review 4.  ESR paper on structured reporting in radiology.

Authors: 
Journal:  Insights Imaging       Date:  2018-02-19

Review 5.  Big data, artificial intelligence, and structured reporting.

Authors:  Daniel Pinto Dos Santos; Bettina Baeßler
Journal:  Eur Radiol Exp       Date:  2018-12-05

Review 6.  A Platform for Innovation and Standards Evaluation: a Case Study from the OpenMRS Open-Source Radiology Information System.

Authors:  Judy W Gichoya; Marc Kohli; Larry Ivange; Teri S Schmidt; Saptarshi Purkayastha
Journal:  J Digit Imaging       Date:  2018-06       Impact factor: 4.056

7.  Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs.

Authors:  Daniel Pinto Dos Santos; Sebastian Brodehl; Bettina Baeßler; Gordon Arnhold; Thomas Dratsch; Seung-Hun Chon; Peter Mildenberger; Florian Jungmann
Journal:  Insights Imaging       Date:  2019-09-23
  7 in total

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