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Viewing and inserting measurements

Updated

Learn how to review all imported quantitative measurements taken for a patient within Rad AI Reporting and easily insert them into a report with a single click, saving time and ensuring accuracy.

In this article: 

  1. Prerequisites
  2. Overview
  3. Viewing and inserting measurements
  4. How measurements are imported into Rad AI Reporting
  5. Frequently asked questions


Prerequisites

  1. To review a patient’s measurements, the “Measurements” view must be enabled and visible in your report workbench. Learn how to enable workbench views. 

     
  2. To access reports, make sure you have the following permissions enabled for your role:
  • Create Report
  • View Report
  • List Report
  • Update Report
  • Create Document
  • List Document
  • View Document 
  • Update Document
  • Dictate Report 
💡 The “Radiologist” and “Resident” default roles have these permissions enabled. Learn about managing roles and permissions. 

 

Overview

Rad AI Reporting can automatically import quantitative measurement data for patients—such as lesion sizes and organ dimensions—from connected imaging and healthcare systems (e.g., PACS) via the FHIRCast, DICOM-SR, and HL7 standards. Learn more about how measurements are imported.

Once imported, the Measurements view within a report provides radiologists with a structured summary of a patient’s measurement data and enables them to quickly insert necessary data into the report editor with a single click. By removing manual data entry, errors are greatly minimized, allowing radiologists to dedicate more time to interpreting images and providing exceptional patient care.

To automatically populate a report with a measurement, you will need to add the observationValue("FIELD_NAME") formula to your report template. The FIELD_NAME must exactly match the name of the observation (case insensitive), as defined in your system and received via integration. Learn more about formulas.

 

Viewing and inserting measurements

In the Measurements view, you can review all imported measurements for a patient and insert them into the report.

  1. Go to Reports, search for the report you want to open, and double-click it. Or type the report’s accession number in the search bar at the top of the page. 
     
  1. In the report that opens, go to the Measurements view. You will see all the measurements data that has been imported for the patient.
     

  • Don’t see the Measurements view in your report workbench? Go to your profile > Personal Settings > Workbench > Enabled Views and make sure the Measurements toggle is turned on.
  • If the Measurements view is visible but isn’t displaying any data, it may be because:
    • No measurements have been taken for the patient.
    • There was an issue importing measurements for the patient. Contact support@radai.com.

 

  1. Select a text field or picklist in the report. Then click on a measurement within the Measurements view to insert it into the selected text field.
     
  • The measurement will be inserted wherever the cursor is located within a field and won’t replace existing text unless that text is highlighted. 
  • You can insert other types of information listed in the Measurements view, such as patient history and prior studies.

 

How measurements are imported into Rad AI Reporting

Rad AI Reporting can automatically import a patient’s quantitative measurements (e.g., lesion sizes, organ dimensions, etc.) after the following conditions are met:

  • A connection has been established with an external imaging and clinical systems such as PACS (Picture Archiving and Communication System) via the following industry standards:
  • The templates have been configured for measurement insertion by Rad AI’s Implementation team (with assistance from the connected vendors that supply the measurements).
     

FHIRCast

FHIRCast (Fast Healthcare Interoperability Resources) is an open standard for real-time synchronization of healthcare applications. It is a core technology for integrating Rad AI Reporting with systems like PACS and EMRs (electronic medical records).

Key benefits:

  • Rad AI Reporting integrates with your other healthcare systems in real time, providing seamless interoperability.
  • Measurement data is automatically imported and updated, which removes manual data entry and minimizes errors.
  • All connected applications display consistent, up-to-date information.

 

How Rad AI imports measurements from FHIRCast:

  1. A measurement is created or updated in a connected system (e.g., PACS).
  2. The system broadcasts a FHIR Observation event via FHIRCast.
  3. Rad AI Reporting receives the event and imports the measurement.
  4. The data is deduplicated to ensure that only the most recent measurement is shown for each measurement code.
  5. The measurements show up in the Measurements view in a report for quick review and one‑click insertion.

 

DICOM-SR

DICOM-SR (Digital Imaging and Communications in Medicine - Structured Reporting) is part of the DICOM standard, designed to represent structured clinical information (e.g., lesion measurements, organ sizes, or AI-generated findings) in a format that is both human- and machine-readable. It provides a standardized way to encode and transmit quantitative and qualitative imaging data.

Data can be imported from:

  • Imaging modalities (e.g., CT, MRI, ultrasound machines)
  • PACS workstations
  • AI imaging vendors
  • EHRs (via HL7 or FHIR Observations)


Key benefits:

  • DICOM‑SR encodes measurements in a consistent, human‑ and machine‑readable format across systems and vendors.
  • DICMOM-SR works with imaging modalities, PACS workstations, and AI vendors without needing custom integrations.
  • Rad AI translates DICOM‑SR into standardized FHIR Observations for consistent use across workflows.

 

How Rad AI imports measurements from DICOM-SR:

  1. An external system generates a DICOM-SR object with measurement data. 
  2. The object is sent (often via a partner integration) to Rad AI’s FHIR API. 
  3. Rad AI translates and stores the data as FHIR Observations. 
  4. The measurements show up in the Measurements view in a report for quick review and one‑click insertion.

 

HL7

HL7 (Health Level Seven) is a set of international standards for the exchange, integration, sharing, and retrieval of electronic health information. While FHIRCast and DICOM-SR are the most common methods for importing a patient’s measurements, HL7 messages are commonly used for transmitting ORMs (order entry messages), ORUs (observation result messages), and patient demographic updates between systems such as EHRs (electronic health records), RIS (radiology information system), and PACS. 

Key benefits:

  • HL7 is widely used across EHRs, RIS, and PACS, so integrations fit existing hospital interfaces. 
  • Rad AI converts HL7 ORU results into standardized FHIR Observations for consistent use in Rad AI Reporting.
     

How Rad AI imports measurements from HL7:

  1. External systems send measurement results as HL7 ORU messages to Rad AI.
  2. Rad AI validates the ORU and converts each result into structured FHIR Observations in our data store for consistent use across workflows.
  3. The measurements show up in the Measurements view in a report, which radiologists can quickly review and insert with a single click.

 

Frequently asked questions

Where does a patient’s measurements come from?

Learn how measurements are imported into Rad AI Reporting.

 

Can measurements auto‑populate my template?

Yes. If your template has a matching data field name, incoming measurements can fill those fields automatically. 

 

Can I edit a measurement value after inserting it into the report?

Yes. You can edit the inserted text like any other report text.

 

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