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Eur J Public Health. 2019 Sep 24. pii: ckz152. doi: 10.1093/eurpub/ckz152. [Epub ahead of print]

Constructing data-derived family histories using electronic health records from a single healthcare delivery system.

Author information

1
Clalit Research Institute, Tel Aviv, Israel.
2
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
3
Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
4
Predictive Medicine Group & Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.
5
Pediatrics Department, Shaare Zedek Medical Center, Jerusalem, Israel.
6
Harvard Medical School, Boston, MA, USA.
7
Public Health Department, Ben-Gurion University of the Negev, Israel.

Abstract

BACKGROUND:

In order to examine the potential clinical value of integrating family history information directly from the electronic health records of patients' family members, the electronic health records of individuals in Clalit Health Services, the largest payer/provider in Israel, were linked with the records of their parents.

METHODS:

We describe the results of a novel approach for creating data-derived family history information for 2 599 575 individuals, focusing on three chronic diseases: asthma, cardiovascular disease (CVD) and diabetes.

RESULTS:

In our cohort, there were 256 598 patients with asthma, 55 309 patients with CVD and 66 324 patients with diabetes. Of the people with asthma, CVD or diabetes, the percentage that also had a family history of the same disease was 22.0%, 70.8% and 70.5%, respectively.

CONCLUSIONS:

Linking individuals' health records with their data-derived family history has untapped potential for supporting diagnostic and clinical decision-making.

PMID:
31550373
DOI:
10.1093/eurpub/ckz152

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