The LOINC RSNA radiology playbook - a unified terminology for radiology procedures

  title={The LOINC RSNA radiology playbook - a unified terminology for radiology procedures},
  author={Daniel J. Vreeman and Ken Wang and Christine M. Carr and Beverly J. Collins and Swapna Abhyankar and Jamalynne Deckard and Clement J. McDonald and D. Rubin and C. Langlotz},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  pages={885 - 893}
Objective This paper describes the unified LOINC/RSNA Radiology Playbook and the process by which it was produced. [] Key MethodResults We developed a unified model and instantiated it in a new LOINC release artifact that contains the LOINC codes and display name (ie LONG_COMMON_NAME) for each procedure, mappings between LOINC and the RSNA Playbook at the procedure code level, and connections between procedure terms and their attribute values that are expressed as LOINC Parts and RadLex IDs. We…

Tables from this paper

Mapping of HIE CT terms to LOINC®: analysis of content-dependent coverage and coverage improvement through new term creation

The mapping of computerized tomography (CT) terms from 40 hospitals participating in a health information exchange (HIE) to a standard terminology using the Logical Observations Identifiers Names and Codes (LOINC®) terminology is described and evaluated.

Ontology-Based Classification of Radiological Procedures for Consistent Sharing in Clinical Data Warehouses

A proof of concept of a radiological procedures data classifier that exploits the richness of RadLex ontology and the ontological reasoning and is assessed using medical imaging data retrieved from two different facilities to demonstrate feasibility and relevance of the approach.

The Importance of Body Part Labeling to Enable Enterprise Imaging: A HIMSS-SIIM Enterprise Imaging Community Collaborative White Paper

Potential challenges in employing the DICOM Anatomic Region Sequence are identified and potential solutions for these challenges are provided.

Biomedical Ontologies to Guide AI Development in Radiology

How ontologies can support research and guide emerging applications of AI in radiology, including natural language processing, image–based machine learning, radiomics, and planning are described.

Comparative Analysis of Machine Learning Algorithms for Computer-Assisted Reporting Based on Fully Automated Cross-Lingual RadLex® Mappings

Contextual ML-based assistance suggesting ASPECTS while reporting neuroradiological emergencies is feasible, even if ML-models are restricted to be developed on limited and highly imbalanced data sets.

Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings

This approach provides guidance for choosing ML classifiers for CAR tools in fully automated and language-agnostic fashion using bag-of-RadLex terms on limited expert-labelled training data.

Fostering a Healthy AI Ecosystem for Radiology: Conclusions of the 2018 RSNA Summit on AI in Radiology.

The proceedings of the RSNA Summit on AI in Radiology are presented with emphasis on RSNA's role in leading, organizing, and catalyzing change during this important time in radiology.

Artificial Intelligence for Quality Improvement in Radiology.

  • T. Loehfelm
  • Medicine
    Radiologic clinics of North America
  • 2021

Niveles de referencia para diagnóstico: Una herramienta efectiva para la protección radiológica de pacientes

Se sabe que las exposiciones medicas con radiaciones ionizantes son actualmente la principal fuente de exposicion a la radiacion artificial a nivel global. Para prevenir dosis innecesariamente altas



Mapping Institution-Specific Study Descriptions to RadLex Playbook Entries

An algorithm is discussed which first extracts RadLex codes from the procedure description and then uses the definition of an RPID to determine the most suitable RPID(s) for the extracted set of Rad Lex codes, and a tool developed that can be used by administrators to map institution-specific procedure descriptions to RPIDs is discussed.

Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure.

  • Ken WangJigar Patel C. Langlotz
  • Computer Science
    Radiographics : a review publication of the Radiological Society of North America, Inc
  • 2017
The role of imaging procedure codes in radiology departments and across the health care enterprise is reviewed, standards for radiology procedure coding are described, and the mechanisms of structured coding systems are reviewed.

Creating and Curating a Terminology for Radiology: Ontology Modeling and Analysis

  • D. Rubin
  • Computer Science
    Journal of Digital Imaging
  • 2007
It is demonstrated that the RadLex terminology can be translated into an ontology, a representation of terminologies that is both human-browsable and machine-processable, and that creating this ontology permits computational analysis of RadLex and enables its use in a variety of computer applications.

Mapping SNOMED CT to ICD-10

A collaboration between the International Health Terminology Standards Development Organisation (IHTSDO®) and the World Health Organization (WHO) has resulted in a priority set of cross maps from

Standard Anatomic Terminologies: Comparison for Use in a Health Information Exchange–Based Prior Computed Tomography (CT) Alerting System

The fitness of five existing standard anatomic terminologies to support similar or proximate alerts of an HIE-based prior CT alerting system is evaluated and SANOPS may serve as a framework for enhancing anatomic Terminologies in support of other similar use cases.

LOINC, a universal standard for identifying laboratory observations: a 5-year update.

The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations so that hospitals, health maintenance organizations, pharmaceutical manufacturers, researchers, and public health departments receive such messages from multiple sources and can automatically file the results in the right slots of their medical records, research, and/or public health systems.

Automated Mapping of Local Radiology Terms to LOINC

An automated tool, called the Intelligent Mapper, to improve the efficiency and consistency of mapping local terms to LOINC is developed, with the aim of reducing the effort required to integrate disparate systems and helping move us towards the goal of interoperable health information exchange.

A Comparison of Intelligent Mapper and Document Similarity Scores for Mapping Local Radiology Terms to LOINC

A program for mapping local radiology system terms to LOINC that returns a ranked list of candidate LOINC codes based on document similarity scores is developed and compared with the Intelligent Mapper program.

Leveraging Lexical Matching and Ontological Alignment to Map SNOMED CT Surgical Procedures to ICD-10-PCS

Two methods to automatically map SNOMED CT surgical procedures to ICD-10-PCS were explored and the accuracy increased to 93%.

Enabling international adoption of LOINC through translation