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EHR Archives

Building a cohort, the easy way

Jan. 7, 2021—An automated system using keyword searches can help identify candidates for clinical trials on adverse drug reactions.

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Team tracks sources of false positives in urine drug screens

Dec. 3, 2020—False positives on urine drug screens are common and are frequently due to cross-reactivity of these tests to medications. Last year, Vanderbilt University Medical Center researchers Jacob Hughey, PhD, assistant professor of Biomedical Informatics, and Jennifer Colby, PhD, at that time assistant professor of Pathology, Microbiology and Immunology, devised, tested and published a method to systematically identify medications that interfere with screenings for drugs of abuse.

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Study tracks physician use of electronic health records

Nov. 4, 2020—According to a new large-scale descriptive study in the journal Pediatrics, for each outpatient encounter, pediatricians on average spend 16 minutes using the electronic health record (EHR).

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New tool rapidly identifies health records for studies

Oct. 29, 2020—Electronic health records (EHR) are increasingly a resource for biomedical discovery, and automated searches for records that reflect a phenotype of interest, typically a disease, are a common starting point.

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Clickbusters program takes on EHR alert fatigue

Jul. 16, 2020—On April 1, the Vanderbilt Clinical Informatics Center (VCLIC), in coordination with Health IT, launched a grassroots program called Clickbusters to stem alert fatigue at Vanderbilt University Medical Center.

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EHRs, biobanks and Mendelian diseases

Apr. 30, 2020—Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis.

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VUMC team creates COVID-19 research registry

Apr. 23, 2020—Out of the electronic health records (EHRs) of patients seen at Vanderbilt University Medical Center, a team in the Department of Biomedical Informatics is creating a COVID-19 patient registry as a platform for research.

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VUMC study to use artificial intelligence to explore suicide risk

Jan. 15, 2020—Investigators will use computational methods to shed light on suicidal ideation and its relationship to attempted suicide, predict suicidal ideation and suicide attempt using routine electronic health records (EHRs) and explore the genetic underpinnings of both.

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