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. 2018 Feb;31(1):124-132.
doi: 10.1007/s10278-017-0016-0.

Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method

Ranjit S Sandhu  1 , James Shin  2 , Kenneth C Wang  3 , George Shih  2
Affiliations

Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method

Ranjit S Sandhu et al. J Digit Imaging. 2018 Feb.

Abstract

The LOINC-RSNA Radiology Playbook represents the future direction of standardization for radiology procedure names. We developed a software solution ("RadMatch") utilizing Python 2.7 and FuzzyWuzzy, an open-source fuzzy string matching algorithm created by SeatGeek, to implement the LOINC-RSNA Radiology Playbook for adult abdomen and pelvis CT and MR procedures performed at our institution. Execution of this semi-automated method resulted in the assignment of appropriate LOINC numbers to 86% of local CT procedures. For local MR procedures, appropriate LOINC numbers were assigned to 75% of these procedures whereas 12.5% of local MR procedures could only be partially mapped. For the standardized local procedures, only 63% of CT and 71% of MR procedures had corresponding RadLex Playbook identifier (RPID) codes in the LOINC-RSNA Radiology Playbook, which limited the utility of RPID codes. RadMatch is a semi-automated open-source software tool that can assist radiology departments seeking to standardize their radiology procedures via implementation of the LOINC-RSNA Radiology Playbook.

Keywords: LOINC; Playbook; Python; RSNA.

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Conflict of interest statement

This article does not contain any studies with human participants or animals performed by any of the authors.

Figures

Fig. 1
Fig. 1
First prompt for user input after executing the Python script
Fig. 2
Fig. 2
Second prompt for user input
Fig. 3
Fig. 3
Third prompt for user input
Fig. 4
Fig. 4
Fourth and final prompt for user input, after which the script generates the output CSV file containing the match results
Fig. 5
Fig. 5
Total percentage of matching local procedures for both CT and MRI
Fig. 6
Fig. 6
Score and associated percentage of matching local procedures for both CT and MRI (0 = no match, 0.5 = partial match, 1–5 = complete match with rank). No local procedure had a score of 5
See this image and copyright information in PMC

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References

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