Retrieving the Vital Status of Patients with Cancer Using Online Obituaries...Building Continents of Knowledge in the Oceans of Data: The Future of Co-Created e Health EFMI. Medical Informatics Europe (MIE) April 24-26, 2018 Gothenburg, Sweden
The aim of this study was to develop a methodology to link mortality data from Internet sources with administrative data from electronic health records and to assess the performance of different record linkage methods. We extracted the electronic health records of all adult patients hospitalized at...
| Publicado en: | Studies in Health Technology & Informatics Vol. 247; pp. 571 - 576 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=129542647&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 129542647 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2018 vid: 247 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 129542647 129542647 129542647 10.3233/978-1-61499-852-5-571 129542647 ppf: 571 ppct: 5 formats: tig: atl: Retrieving the Vital Status of Patients with Cancer Using Online Obituaries...Building Continents of Knowledge in the Oceans of Data: The Future of Co-Created e Health EFMI. Medical Informatics Europe (MIE) April 24-26, 2018 Gothenburg, Sweden aug: au: SYLVESTRE, Emmanuelle BOUZILLE, Guillaume BRETON, Mathias CUGGIA, Marc CAMPILLO-GIMENEZ, Boris affil: INSERM, U1099, Rennes, F-35000, France sug: subj: Health Information Systems Electronic Data Interchange Mortality Electronic Health Records Human Male Female Record Review Cancer Patients Databases, Health Data Analysis Sex Factors Male Female ab: The aim of this study was to develop a methodology to link mortality data from Internet sources with administrative data from electronic health records and to assess the performance of different record linkage methods. We extracted the electronic health records of all adult patients hospitalized at Rennes comprehensive cancer center between January 1, 2010 and December 31, 2015 and separated them in two groups (training and test set). We also extracted all available online obituaries from the most exhaustive French funeral home website using web scraping techniques. We used and evaluated three different algorithms (deterministic, approximate deterministic and probabilistic) to link the patients' records with online obituaries. We optimized the algorithms using the training set and then evaluated them in the test set. The overall precision was between 98 and 100%. The three classification algorithms performed better for men than women. The probabilistic classification decreased the number of manual reviews, but slightly increased the number of false negatives. To address the problem of long delays in the publication or sharing of mortality data, online obituary data could be considered for real-time surveillance of mortality in patients with cancer because they are easily available and time-efficient. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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