Augmenting fact and date of death in electronic health records using internet media sources: a validation study from two large healthcare systems.
This study evaluated death ascertainment from publicly available internet sources for patients in two large tertiary care US healthcare systems, Mass General Brigham (MGB) and Vanderbilt University Medical Center (VUMC), benchmarked against state and federal vital statistics data. Names, dates of bi...
| Publicado en: | American Journal of Epidemiology Vol. 195; no. 4; pp. 1120 - 1129 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Apr2026
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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=192901838&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192901838 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029262 1X1 jtl: American Journal of Epidemiology issn: 00029262 maglogo: N pubinfo: dt: Apr2026 vid: 195 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 192901838 192901838 192901838 10.1093/aje/kwaf258 192901838 ppf: 1120 ppct: 9 formats: tig: atl: Augmenting fact and date of death in electronic health records using internet media sources: a validation study from two large healthcare systems. aug: au: LeNoue-Newton, Michele Al-Garadi, Mohammed Ngan, Kerry Pillai, Haritha Reeves, Ruth M Park, Daniel Westerman, Dax M Hernández-Muñoz, José J Wang, Xi Kuzucan, Aida affil: Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States sug: subj: Death Certificates Electronic Health Records Internet Utilization Tertiary Health Care Natural Language Processing Medical Record Linkage Vital Statistics Human Funding Source United States Male Female Validation Studies Social Media Descriptive Statistics Data Analysis Software False Positive Results Male Female ab: This study evaluated death ascertainment from publicly available internet sources for patients in two large tertiary care US healthcare systems, Mass General Brigham (MGB) and Vanderbilt University Medical Center (VUMC), benchmarked against state and federal vital statistics data. Names, dates of birth, and dates of death were extracted from 8.1 million internet media records using previously developed natural language processing models. Internet records were matched to 78 848 deceased patients from MGB and VUMC on first name, last name, and date of birth. Dates of death were validated against state vital statistics databases or the National Death Index as reference standards. We calculated sensitivity and positive predicted values (PPV) of internet sources in identifying dates of death within 7 days of the reference standard. Exact matching of records between internet media and reference standards on first name, last name, and date of birth, resulted in 30 067 (38.8%) matches, which showed PPV for death identification (98.2%—MGB; 98.9%—VUMC) in internet media and increased sensitivity of death capture over EHR alone by 24% at MGB and 18% at VUMC. In conclusion, using internet sources to augment mortality data increased capture of death meaningfully over reliance on EHR records alone. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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