Experts in Radiologic Procedure Mapping, Classification, and Normalization


What We Do

At Radmapps, we specialize in closed system normalization of procedure code descriptions. Our work ensures that, throughout the radiologic enterprise, both upstream and downstream data are intelligible. Radmapps extracts relationships among your exams and creates relevant groupings according to your needs. Our extensive lexicon and mapping algorithms ensure that list correlation is fast, easy, and accurate.

Radmapps Paradigm


For Report Templating

Radmapps Paradigm eliminates redundant dictation templates, saving administrative cost and improving reading efficiency. By using our single set of dictation templates, you help ensure maximal reimbursement and accreditation for your hospital, facility, or company. Radmapps assures language uniformity across the entire spectrum of radiologic studies, from small hospitals to a large teleradiology companies. 

For Radiation Dose and Protocol Management

Radmapps’ Paradigm offers a standard exam list that is all-inclusive, with a granularity streamlined for radiation dose management. All your exams will normalize and correlate to our Paradigm list, which we then correlate to your list. Our process ensures uncompromising comparisons both within the enterprise, as well as regionally and nationally.

For Clinical Decision Support

Radmapps’ Paradigm is the first industry standard for radiologic exam descriptions, providing a comprehensive orderables list, underpinned by RadLex identifiers and with a granularity tailored to fit different clinical decision support (CDS) models. Our Paradigm standard enables easy correlation between your client’s RIS list and your CDS list. 

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Exams pull from a single set of report templates, saving administrative time and improving radiologist satisfaction.

Radmapps normalization makes it easy and efficient to create, consolidate, and maintain templates. With our Closed Loop Normalization, facilities can easily maintain a single template for each study type. We eliminate the need to maintain multiple report templates when reading from multiple RIS lists.

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Our Paradigm service understands the implicit anatomy of protocol names and recognizes dose-relevant attributes.

We continually research new technologies and naming conventions, providing updates that normalize new and unusual exam names immediately.

All normalized attributes are underpinned with RadLex identifiers. Radmapps continuously updates its database with RadLex attribute identifiers as they become available.

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Your clients’ exams will always find the correct correlate on the Radmapps list, which is directly tied to your proprietary list. Radmapps assures language uniformity across the entire spectrum of studies, virtually guaranteeing that client set-up is rapid, and CDS implementation is accurate.

Our standard eliminates recommending protocol-specific exams for inappropriate indications, such as PE studies for dissections and aneurysms. Staff can quickly recognize exams that have no associated clinical indications.

Radmapps’ normalization and correlation immediately shows recurrent exams that have neither a CDS correlate nor associated indications.

When physicians can easily see a patient’s radiologic exam history, it is much more likely that optimal study will be ordered. Radmapps brings years of experience in mapping exam descriptions for PACS’ automated comparison hanging to Clinical Decision Support, guaranteeing that you can dynamically display your clients’ patients’ relevant prior exams.

Radmapps Comprehend™

For PACS & Fuji PACS

Radmapps’ Comprehend™ is a subscription service that enables a PACS workstation to automatically compare relevant prior exams. Comprehend™ for Fuji PACS optimizes Fuji Synapse’s ability to automatically display relevant prior studies. Radmapps can create “related procedures” files that will streamline workflows a range of providers, from small clinics to large teleradiology companies reading for multiple hospital systems. 

How It Works

Using a client-provided study list, Comprehend™ parses the exams into anatomic and functional attributes. Then, commonalities are established among studies and files are delivered that allow PACS workstations to automatically compare relevant prior exams. Radmapps works closely with each client to supply data that works best for them.

Comprehensive & Accurate

Radmapps’ Comprehend™ leverages the evaluation of hundreds of thousands of study descriptions. Virtually every radiologic turn of phrase, abbreviation and misspelling has been parsed and included in our lexicon, assuring utmost accuracy. Comprehend™ integrates the potentially tens of thousands of studies that may not be in your RIS list, ensuring that all potentially useful comparisons are presented.

Clients Who Trust Radmapps

American College of Radiology

Radmapps was designated as the “mapping specialist” by ACR’s Dose Index Registry, recommending our service to map DIR participants’ exam descriptions. DIR is used establish national benchmarks for CT dose indices. Participation in the study enables facilities to compare their CT dose indices to regional and national values.


Philips chose Radmapps to create a standardized lexicon for DoseWise Portal, a radiation dose analysis and protocol management tool. Radmapps normalized DoseWise customers’ exam descriptions to the standardized lexicon. As a result, a unified method was established for analyzing and managing radiation dose exposure to patients and staff.

University Radiology

Radmapps created customized “related procedures” files for University Radiology, enabling the automatic display of related prior exams existing in multiple Fuji PACS datasources. Radmapps’ data allow individual “radiologist-level” control over displaying modality and anatomic-specific prior exams. 

Radiology Partners

Radiology Partners, the largest physician-owned and physician-led radiology practice in the U.S., chose
RadMapps to normalize studies to the RadMaster Universal Standard Procedure Code list. This ensures
that their facilities’ radiologic study descriptions and accompanying metadata are unified across the Rad
Partners enterprise.