2022
DOI: 10.1177/21501319211069756
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Comparison of a Focused Family Cancer History Questionnaire to Family History Documentation in the Electronic Medical Record

Abstract: Introduction: Family health history can be a valuable indicator of risk to develop certain cancers. Unfortunately, patient self-reported family history often contains inaccuracies, which might change recommendations for cancer screening. We endeavored to understand the difference between a patient’s self-reported family history and their electronic medical record (EMR) family history. One aim of this study was to determine if family history information contained in the EMR differs from patient-reported family … Show more

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Cited by 2 publications
(3 citation statements)
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“…In fact, only 14 (0.6%) of the eligible patients were identified based on family history records alone. This observation presents yet another example to the importance of comprehensive noting and regular review of cancer patients' family history records 51 .…”
Section: Discussionmentioning
confidence: 89%
“…In fact, only 14 (0.6%) of the eligible patients were identified based on family history records alone. This observation presents yet another example to the importance of comprehensive noting and regular review of cancer patients' family history records 51 .…”
Section: Discussionmentioning
confidence: 89%
“…One reason for this is that family histories are not systematically recorded in EHR databases. Family-related information is largely captured via survey or active questioning by healthcare professionals 9 and stored in EHRs as free text or scanned documents, limiting its usability in healthcare research 10 .…”
Section: Introductionmentioning
confidence: 99%
“…One reason for this is that family histories are not systematically recorded in EHR databases. Family-related information is largely captured via survey or active questioning by healthcare professionals 9 and stored in EHRs as free text or scanned documents, limiting its usability in healthcare research 10 . For this reason, several rule-based algorithms have recently been developed for inferring electronic family pedigrees (e-pedigrees) from EHR data 11-13 .…”
Section: Introductionmentioning
confidence: 99%