De-identification of unstructured paper-based health records for privacy-preserving secondary use.
Identifieur interne : 000104 ( Main/Curation ); précédent : 000103; suivant : 000105De-identification of unstructured paper-based health records for privacy-preserving secondary use.
Auteurs : Stefan Fenz [Autriche] ; Johannes Heurix ; Thomas Neubauer ; Antonio RellaSource :
- Journal of medical engineering & technology [ 1464-522X ] ; 2014.
English descriptors
- KwdEn :
- MESH :
Abstract
Abstract Whenever personal data is processed, privacy is a serious issue. Especially in the document-centric e-health area, the patients' privacy must be preserved in order to prevent any negative repercussions for the patient. Clinical research, for example, demands structured health records to carry out efficient clinical trials, whereas legislation (e.g. HIPAA) regulates that only de-identified health records may be used for research. However, unstructured and often paper-based data dominates information technology, especially in the healthcare sector. Existing approaches are geared towards data in English-language documents only and have not been designed to handle the recognition of erroneous personal data which is the result of the OCR-based digitization of paper-based health records.
DOI: 10.3109/03091902.2014.913080
PubMed: 24841844
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000019
- to stream PubMed, to step Curation: Pour aller vers cette notice dans l'étape Curation :000019
- to stream PubMed, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :000019
- to stream Ncbi, to step Merge: Pour aller vers cette notice dans l'étape Curation :000192
- to stream Ncbi, to step Curation: Pour aller vers cette notice dans l'étape Curation :000192
- to stream Ncbi, to step Checkpoint: Pour aller vers cette notice dans l'étape Curation :000192
- to stream Main, to step Merge: Pour aller vers cette notice dans l'étape Curation :000105
Links to Exploration step
pubmed:24841844Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">De-identification of unstructured paper-based health records for privacy-preserving secondary use.</title>
<author><name sortKey="Fenz, Stefan" sort="Fenz, Stefan" uniqKey="Fenz S" first="Stefan" last="Fenz">Stefan Fenz</name>
<affiliation wicri:level="3"><nlm:affiliation>Vienna University of Technology, Institute of Software Technology and Interactive Systems , Favoritenstrasse 9-11, 1040 Vienna , Austria.</nlm:affiliation>
<country xml:lang="fr">Autriche</country>
<wicri:regionArea>Vienna University of Technology, Institute of Software Technology and Interactive Systems , Favoritenstrasse 9-11, 1040 Vienna </wicri:regionArea>
<placeName><region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Heurix, Johannes" sort="Heurix, Johannes" uniqKey="Heurix J" first="Johannes" last="Heurix">Johannes Heurix</name>
</author>
<author><name sortKey="Neubauer, Thomas" sort="Neubauer, Thomas" uniqKey="Neubauer T" first="Thomas" last="Neubauer">Thomas Neubauer</name>
</author>
<author><name sortKey="Rella, Antonio" sort="Rella, Antonio" uniqKey="Rella A" first="Antonio" last="Rella">Antonio Rella</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2014">2014</date>
<idno type="RBID">pubmed:24841844</idno>
<idno type="pmid">24841844</idno>
<idno type="doi">10.3109/03091902.2014.913080</idno>
<idno type="wicri:Area/PubMed/Corpus">000019</idno>
<idno type="wicri:Area/PubMed/Curation">000019</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000019</idno>
<idno type="wicri:Area/Ncbi/Merge">000192</idno>
<idno type="wicri:Area/Ncbi/Curation">000192</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000192</idno>
<idno type="wicri:Area/Main/Merge">000105</idno>
<idno type="wicri:Area/Main/Curation">000104</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">De-identification of unstructured paper-based health records for privacy-preserving secondary use.</title>
<author><name sortKey="Fenz, Stefan" sort="Fenz, Stefan" uniqKey="Fenz S" first="Stefan" last="Fenz">Stefan Fenz</name>
<affiliation wicri:level="3"><nlm:affiliation>Vienna University of Technology, Institute of Software Technology and Interactive Systems , Favoritenstrasse 9-11, 1040 Vienna , Austria.</nlm:affiliation>
<country xml:lang="fr">Autriche</country>
<wicri:regionArea>Vienna University of Technology, Institute of Software Technology and Interactive Systems , Favoritenstrasse 9-11, 1040 Vienna </wicri:regionArea>
<placeName><region type="land" nuts="2">Vienne (Autriche)</region>
<settlement type="city">Vienne (Autriche)</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Heurix, Johannes" sort="Heurix, Johannes" uniqKey="Heurix J" first="Johannes" last="Heurix">Johannes Heurix</name>
</author>
<author><name sortKey="Neubauer, Thomas" sort="Neubauer, Thomas" uniqKey="Neubauer T" first="Thomas" last="Neubauer">Thomas Neubauer</name>
</author>
<author><name sortKey="Rella, Antonio" sort="Rella, Antonio" uniqKey="Rella A" first="Antonio" last="Rella">Antonio Rella</name>
</author>
</analytic>
<series><title level="j">Journal of medical engineering & technology</title>
<idno type="eISSN">1464-522X</idno>
<imprint><date when="2014" type="published">2014</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Artificial Intelligence</term>
<term>Confidentiality</term>
<term>Forms and Records Control (methods)</term>
<term>Health Records, Personal</term>
<term>Image Processing, Computer-Assisted</term>
<term>Information Storage and Retrieval (methods)</term>
<term>Paper</term>
<term>Privacy</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Forms and Records Control</term>
<term>Information Storage and Retrieval</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Artificial Intelligence</term>
<term>Confidentiality</term>
<term>Health Records, Personal</term>
<term>Image Processing, Computer-Assisted</term>
<term>Paper</term>
<term>Privacy</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Abstract Whenever personal data is processed, privacy is a serious issue. Especially in the document-centric e-health area, the patients' privacy must be preserved in order to prevent any negative repercussions for the patient. Clinical research, for example, demands structured health records to carry out efficient clinical trials, whereas legislation (e.g. HIPAA) regulates that only de-identified health records may be used for research. However, unstructured and often paper-based data dominates information technology, especially in the healthcare sector. Existing approaches are geared towards data in English-language documents only and have not been designed to handle the recognition of erroneous personal data which is the result of the OCR-based digitization of paper-based health records.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000104 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Curation/biblio.hfd -nk 000104 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Main |étape= Curation |type= RBID |clé= pubmed:24841844 |texte= De-identification of unstructured paper-based health records for privacy-preserving secondary use. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Curation/RBID.i -Sk "pubmed:24841844" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Curation/biblio.hfd \ | NlmPubMed2Wicri -a OcrV1
This area was generated with Dilib version V0.6.32. |