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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-02

AUTHORS

Ranjit S. Sandhu, James Shin, Kenneth C. Wang, George Shih

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. More... »

PAGES

124-132

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10278-017-0016-0

DOI

http://dx.doi.org/10.1007/s10278-017-0016-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091351576

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28842816


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Department of Radiology, Weill Cornell Medical College, 525 East 68th Street, Box 141, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sandhu", 
        "givenName": "Ranjit S.", 
        "id": "sg:person.01150727401.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150727401.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Department of Radiology, Weill Cornell Medical College, 525 East 68th Street, Box 141, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shin", 
        "givenName": "James", 
        "id": "sg:person.015553542177.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015553542177.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Baltimore VA Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.280711.d", 
          "name": [
            "Imaging Service, Baltimore Veterans Affairs Medical Center, 10 North Greene Street, 21201, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Kenneth C.", 
        "id": "sg:person.01227221255.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227221255.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Department of Radiology, Weill Cornell Medical College, 525 East 68th Street, Box 141, 10065, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shih", 
        "givenName": "George", 
        "id": "sg:person.01166717237.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166717237.43"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078868676", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-02", 
    "datePublishedReg": "2018-02-01", 
    "description": "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.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10278-017-0016-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100894", 
        "issn": [
          "0897-1889", 
          "1618-727X"
        ], 
        "name": "Journal of Digital Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "name": "Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method", 
    "pagination": "124-132", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1bb7b89fa54617f0ed150bb7c6b7a3bd206744d570cd935a42a43683eb27c6f1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28842816"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9100529"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10278-017-0016-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091351576"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10278-017-0016-0", 
      "https://app.dimensions.ai/details/publication/pub.1091351576"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T23:20", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8693_00000493.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10278-017-0016-0"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-0016-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-0016-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-0016-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10278-017-0016-0'


 

This table displays all metadata directly associated to this object as RDF triples.

95 TRIPLES      21 PREDICATES      30 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10278-017-0016-0 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na1343a9d17234f9b9822bd53343e0efe
4 schema:citation https://app.dimensions.ai/details/publication/pub.1078868676
5 schema:datePublished 2018-02
6 schema:datePublishedReg 2018-02-01
7 schema:description 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.
8 schema:genre research_article
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N69eb4208536241e5be34ed37ada98859
12 Nb63e64f500bb4b23b0b11d4a95ecc6fb
13 sg:journal.1100894
14 schema:name Single-Center Experience Implementing the LOINC-RSNA Radiology Playbook for Adult Abdomen/Pelvis CT and MR Procedures Using a Semi-Automated Method
15 schema:pagination 124-132
16 schema:productId N48f5a729b4e544509bd622f761e7023b
17 N5a48dd2959174e3d8e11409acb1c4b32
18 N5bc6a480ca984a0c8c3c10b416e9c04c
19 Naf3cde3f199047c88db6c056d139a90e
20 Nb23b2ceedac84ccdae91f6bf4f51f122
21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091351576
22 https://doi.org/10.1007/s10278-017-0016-0
23 schema:sdDatePublished 2019-04-10T23:20
24 schema:sdLicense https://scigraph.springernature.com/explorer/license/
25 schema:sdPublisher Nfae90f0fd8e94b7cbd10e4058984f059
26 schema:url http://link.springer.com/10.1007/s10278-017-0016-0
27 sgo:license sg:explorer/license/
28 sgo:sdDataset articles
29 rdf:type schema:ScholarlyArticle
30 N2dd0e722e15b4ab8935ee48f9f3021c5 rdf:first sg:person.015553542177.28
31 rdf:rest N3fbf548a5e864ff594b85bea12c591bd
32 N3fbf548a5e864ff594b85bea12c591bd rdf:first sg:person.01227221255.09
33 rdf:rest Nad14c952167f413dbcbe687d96d885f8
34 N48f5a729b4e544509bd622f761e7023b schema:name nlm_unique_id
35 schema:value 9100529
36 rdf:type schema:PropertyValue
37 N5a48dd2959174e3d8e11409acb1c4b32 schema:name readcube_id
38 schema:value 1bb7b89fa54617f0ed150bb7c6b7a3bd206744d570cd935a42a43683eb27c6f1
39 rdf:type schema:PropertyValue
40 N5bc6a480ca984a0c8c3c10b416e9c04c schema:name dimensions_id
41 schema:value pub.1091351576
42 rdf:type schema:PropertyValue
43 N69eb4208536241e5be34ed37ada98859 schema:issueNumber 1
44 rdf:type schema:PublicationIssue
45 Na1343a9d17234f9b9822bd53343e0efe rdf:first sg:person.01150727401.11
46 rdf:rest N2dd0e722e15b4ab8935ee48f9f3021c5
47 Nad14c952167f413dbcbe687d96d885f8 rdf:first sg:person.01166717237.43
48 rdf:rest rdf:nil
49 Naf3cde3f199047c88db6c056d139a90e schema:name pubmed_id
50 schema:value 28842816
51 rdf:type schema:PropertyValue
52 Nb23b2ceedac84ccdae91f6bf4f51f122 schema:name doi
53 schema:value 10.1007/s10278-017-0016-0
54 rdf:type schema:PropertyValue
55 Nb63e64f500bb4b23b0b11d4a95ecc6fb schema:volumeNumber 31
56 rdf:type schema:PublicationVolume
57 Nfae90f0fd8e94b7cbd10e4058984f059 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
60 schema:name Information and Computing Sciences
61 rdf:type schema:DefinedTerm
62 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
63 schema:name Artificial Intelligence and Image Processing
64 rdf:type schema:DefinedTerm
65 sg:journal.1100894 schema:issn 0897-1889
66 1618-727X
67 schema:name Journal of Digital Imaging
68 rdf:type schema:Periodical
69 sg:person.01150727401.11 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
70 schema:familyName Sandhu
71 schema:givenName Ranjit S.
72 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01150727401.11
73 rdf:type schema:Person
74 sg:person.01166717237.43 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
75 schema:familyName Shih
76 schema:givenName George
77 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01166717237.43
78 rdf:type schema:Person
79 sg:person.01227221255.09 schema:affiliation https://www.grid.ac/institutes/grid.280711.d
80 schema:familyName Wang
81 schema:givenName Kenneth C.
82 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01227221255.09
83 rdf:type schema:Person
84 sg:person.015553542177.28 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
85 schema:familyName Shin
86 schema:givenName James
87 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015553542177.28
88 rdf:type schema:Person
89 https://app.dimensions.ai/details/publication/pub.1078868676 schema:CreativeWork
90 https://www.grid.ac/institutes/grid.280711.d schema:alternateName Baltimore VA Medical Center
91 schema:name Imaging Service, Baltimore Veterans Affairs Medical Center, 10 North Greene Street, 21201, Baltimore, MD, USA
92 rdf:type schema:Organization
93 https://www.grid.ac/institutes/grid.5386.8 schema:alternateName Cornell University
94 schema:name Department of Radiology, Weill Cornell Medical College, 525 East 68th Street, Box 141, 10065, New York, NY, USA
95 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...