Structured Radiology Reporting

Structured reporting is “the creation of standardized, organized information from templates via menus into a natural-sounding language report”. “Structured reporting means the use of predefined formats and terms to create reports; in this sense, structured reports are those based on templates or checklists”. By using a standard report format, any site can report on performance measures without relying on manual chart abstraction or information technology resources to extract relevant data.
Structured reports have several data types, such as pick lists and free text fields. The objective is to minimize the number of similar data entries so that collected data can be objectively evaluated without undergoing a data cleaning process. Users enter data using voice recognition dictation systems; advancing from field to field using the “next field” key and either choosing an entry from a pick list or

dictating free text as necessary. Users are able to update pick lists and define default entries for data field such as a particular device. The structured report content has been vetted by the structured reporting committee, which ensures compliance with any applicable billing codes. There are minor modifications which individual sites can make to the body of the structured report; however, it is important to keep the text immediately preceding the data fields the same to ensure accurate data capture.³ 

Structured radiological Reporting, as a smart tool based on HTML5, is a leading provider of AI-powered solutions for quantitative image analysis, have teamed up to develop a uniquely streamlined and integrated workflow for radiology.

This integration makes the diagnosis easy, safe and more reliable for radiologists and clinicians. Hence, the collaboration addresses two unresolved problems facing the use of AI in clinical routine:

  • The technical integration of AI to enable semi-automated workflows and allow for a lasting increase in productivity
  • The orchestration of the use of AI – even in complex clinical settings

With this method in a large scale we would have many advantages including: 

  • Save time: Speed up your workflow with our fully automated analysis and excellent visualization of findings.
  • Increase efficiency: Open new sources of revenue and save time for the more important tasks.
  • Improve quality: Don’t just estimate lesions but quantify them.

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