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Systematic Analysis of Free-Text Family History in Electronic Health Record.
Wang, Yanshan; Wang, Liwei; Rastegar-Mojarad, Majid; Liu, Sijia; Shen, Feichen; Liu, Hongfang.
Afiliación
  • Wang Y; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Wang L; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Rastegar-Mojarad M; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Liu S; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Shen F; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
  • Liu H; Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
AMIA Jt Summits Transl Sci Proc ; 2017: 104-113, 2017.
Article en En | MEDLINE | ID: mdl-28815117
Family history is an important component in modern clinical care especially in the era of precision medicine. Family history information in the Electronic Health Record (EHR) system is usually stored in structured format as well as in free-text format. In this study, we systematically analyzed a family history text corpus from 3 million clinical notes for the patients receiving their primary care at Mayo Clinic. Family members, medical problems, and their associations were analyzed and reported. Our findings showed a great agreement between positive/negated medical problems mentioned in the diagnosis report and the family history, as measured by observed agreement and random agreement. We also found that the family history of some medical problems existed up to 10~15 years prior to the diagnosis date of such problems. Finally two patient cases were studied to show the medical problems in the diagnosis and family history associated with the timeline.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: AMIA Jt Summits Transl Sci Proc Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos