Creation of an Open Framework for Point-of-Care Computer-Assisted Reporting and Decision Support Tools for Radiologists (original) (raw)
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XReport: An online structured reporting platform for radiologists
SoftwareX, 2022
Currently the most widespread way of reporting in radiology is dictation mainly due to performance benefits. The 30 output of this method is plain text, which varies in style (structure, nomenclature, abbreviations, etc.) and content 31 between doctors even when reporting the exact same case. Templated radiology provides a structure for reporting and aims to help in generating more unified reports. We propose a web-based system for creating and using 33 radiological structured reporting templates. 34 We developed our software based on web technologies. We wrote the system with modular design in mind. We 35 have separate libraries for the different functionalities: a rendering library which renders the templates based on a 36 schema, an editor library which handles template creation, and an evaluator library, which parses, and executes 37 our custom domain specific language, FormScript, which enables dynamic behaviour in our templates. We also 38 developed a Single Page Application to create, browse, use and share templating reports. The backend of the 39 application is powered by Firebase from Google.
A Voice-enabled, Structured Medical Reporting System
Journal of the American Medical Informatics Association, 1997
Institute of Standards and Technology (NIST) Advanced Technology Program to develop a prototype voice-enabled, structured medical reporting system. In typical usage, the physician dictates to the system, which then uses automatic speech recognition and medical knowledge bases to produce a structured report. This report can then be formatted and viewed on a computer screen, stored in databases of patient information, transmitted to other systems, used to support outcome studies, or viewed on a Web browser. The output reports are structured according to two standard, platform-independent formats: SGML and CORBA. These formats represent the data in a way that can be read by both computers and humans, and efficiently communicated to a wide range of databases and communications protocols. Ⅲ J Am Med Inform Assoc. 1997;4:436 -441.
An Open-Standards Grammar for Outline-Style Radiology Report Templates
Journal of Digital Imaging, 2012
Structured reporting uses consistent ordering of results and standardized terminology to improve the quality and reduce the complexity of radiology reports. We sought to define a generalized approach for radiology reporting that produces flexible outline-style reports, accommodates structured information and named reporting elements, allows reporting terms to be linked to controlled vocabularies, uses existing informatics standards, and allows structured report data to be extracted readily. We applied the Regular Language for XML-Next Generation (RELAX NG) schema language to create templates for 110 reporting templates created as part of the Radiological Society of North America reporting initiative. We evaluated how well this approach addressed the project's goals. The RELAX NG schema language expressed the cardinality and hierarchical relationships of reporting concepts, and allowed reporting elements to be mapped to terms in controlled medical vocabularies, such as RadLex®, Systematized Nomenclature of Medicine Clinical Terms®, and Logical Observation Identifiers Names and Codes®. The approach provided extensibility and accommodated the addition of new features. Overall, the approach has proven to be useful and will form the basis for a supplement to the Digital Imaging and Communication in Medicine Standard.
Automatic Structuring of Radiology Free-Text Reports1
RadioGraphics, 2001
A natural language processor was developed that automatically structures the important medical information (eg, the existence, properties, location, and diagnostic interpretation of findings) contained in a radiology free-text document as a formal information model that can be interpreted by a computer program. The input to the system is a freetext report from a radiologic study. The system requires no reporting style changes on the part of the radiologist. Statistical and machine learning methods are used extensively throughout the system. A graphical user interface has been developed that allows the creation of handtagged training examples. Various aspects of the difficult problem of implementing an automated structured reporting system have been addressed, and the relevant technology is progressing well. Extensible Markup Language is emerging as the preferred syntactic standard for representing and distributing these structured reports within a clinical environment. Early successes hold out hope that similar statistically based models of language will allow deep understanding of textual reports. The success of these statistical methods will depend on the availability of large numbers of high-quality training examples for each radiologic subdomain. The acceptability of automated structured reporting systems will ultimately depend on the results of comprehensive evaluations.
Protégé: A Tool for Managing and Using Terminology in Radiology Applications
Journal of Digital Imaging, 2007
The development of standard terminologies such as RadLex is becoming important in radiology applications, such as structured reporting, teaching file authoring, report indexing, and text mining. The development and maintenance of these terminologies are challenging, however, because there are few specialized tools to help developers to browse, visualize, and edit large taxonomies. Protégé (http:// protege.stanford.edu) is an open-source tool that allows developers to create and to manage terminologies and ontologies. It is more than a terminology-editing tool, as it also provides a platform for developers to use the terminologies in end-user applications. There are more than 70,000 registered users of Protégé who are using the system to manage terminologies and ontologies in many different domains. The RadLex project has recently adopted Protégé for managing its radiology terminology. Protégé provides several features particularly useful to managing radiology terminologies: an intuitive graphical user interface for navigating large taxonomies, visualization components for viewing complex term relationships, and a programming interface so developers can create terminology-driven radiology applications. In addition, Protégé has an extensible plug-in architecture, and its large user community has contributed a rich library of components and extensions that provide much additional useful functionalities. In this report, we describe Protégé's features and its particular advantages in the radiology domain in the creation, maintenance, and use of radiology terminology.
A conceptual model for clinical radiology reports
Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care, 1993
The structural and informational content of clinical radiology reports was examined to develop a comprehensive representational schema of the concepts in the domain. The model involves several different conceptual levels, ranging from the high level description of the report to the lower level description of the clinical concepts contained in the reports and the specification of the terms used to express the concepts. The design of an adequate structured representation for the domain has important implications for the design of the electronic patient record, for the unification of different controlled vocabularies by enabling them to be mapped to one common representation, and for the facilitation of natural language processing of clinical reports so that coded data may be obtained.
Automating Quality Control for Structured Standardized Radiology Reports Using Text Analysis
2020
Radiology reports describe the findings of a radiologist in an imaging examination, produced for another clinician in order to answer to a clinical indication. Sometimes, the report does not fully answer the question asked, despite guidelines for the radiologist. In this article, a system that controls the quality of reports automatically is described. It notably maps the free text onto MeSH terms and checks if the anatomy and disease terms match in the indication and conclusion of a report. The agreement between manual checks of experienced radiologists and the system is high with automatic checks requiring only a fraction of time. Being able to quality control all reports has the potential to improve report quality and thus limit misunderstandings, loosing time for requesting more information and possibly avoid medical mistakes.
Implementing an interface terminology for structured clinical documentation
Journal of the American Medical Informatics Association, 2013
Clinically oriented interface terminologies support interactions between humans and computer programs that accept structured entry of healthcare information. This manuscript describes efforts over the past decade to introduce an interface terminology called CHISL (Categorical Health Information Structured Lexicon) into clinical practice as part of a computer-based documentation application at Vanderbilt University Medical Center. Vanderbilt supports a spectrum of electronic documentation modalities, ranging from transcribed dictation, to a partial template of free-form notes, to strict, structured data capture. Vanderbilt encourages clinicians to use what they perceive as the most appropriate form of clinical note entry for each given clinical situation. In this setting, CHISL occupies an important niche in clinical documentation. This manuscript reports challenges developers faced in deploying CHISL, and discusses observations about its usage, but does not review other relevant work in the field.
ArXiv, 2016
The purpose of this research is to evaluate the human and technical factors required to create a human-computer interface (HCI) for a structured reporting solution based on eye-gaze and speech signals. Gaze and speech signals from radiologists acquired during simulated image interpretation and dictation sessions were analyzed to determine a) variation of temporal relationship between eye gaze and speech in a dictation environment, and b) variation in eye movements for a particular image interpretation task among radiologists. Knowledge of these factors provides information regarding the complexity of the image interpretation or dictation task, and provides information that can be used to design a HCI for use in diagnostic radiology. Our ultimate goal is to use these data to create an HCI to automate the generation of a particular type of structured radiology report. Our data indicate that the a) temporal relationships between eye gaze and speech and b) scan paths substantially vary ...
Robo-Rad": An Inexpensive User-Friendly Multimedia Report System for Radiology
Telemedicine Journal, 1996
Background and Purpose. The complex information obtained by CT, MR, and ultrasound examinations is often difficult to convey with a written report. Today's multimedia computer technology provides a medium within which the audio and the visual components of a radiologie consultation can be made available simultaneously, with the projected capability of remote access from any personal computer. A system was developed to run on low-end computer systems with image quality adequate for reporting purposes and prudent memory management (each report occupies < 4 MB). With this system-"Robo-Rad"-the image and radiologist are recorded simultaneously while he or she describes and points out (with a mouse) areas of interest. This dynamic report, along with patient data, can be retrieved and viewed by the consulting physician at his/her convenience using a low-end PC or Macintosh computer. Materials and Methods. To assess the clinical utility of Robo-Rad, survey responses were solicited from clinical physicians at the Penn State University Hospital (41.5% faculty/fellows, 31.7% residents, 11.8% medical students, 2% clinical nursing; n = 101) during a hands-on demonstration using studies of 35 consecutive inpatients whose CT scans had been dictated into the system.