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electronic health record Archives

Study to search EHR for undiagnosed genetic diseases

Oct. 13, 2022—A team at Vanderbilt University Medical Center will explore computational solutions to help address the problem of missed or delayed diagnosis for patients with rare genetic diseases.

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Counting steps can reduce disease risk: study

Oct. 10, 2022—A Vanderbilt study found that using a wearable activity tracker to count and increase the number and intensity of steps taken daily can reduce the risk of several common, chronic diseases.

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New predictive tool helps capture bedside observations of nurses

Aug. 11, 2022—Vanderbilt is collaborating with several other medical systems to implement a predictive tool that uses machine learning to extract patient behaviors documented by nurses in electronic health records and transform them into observable data.

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Study shows genotype leads to discontinued, decreased medication

Jun. 29, 2022—  by Jill Clendening Patients whose race is recorded as Black in their electronic health record (EHR) are more likely to have azathioprine, an immunosuppressant medication, discontinued or its dose reduced because their laboratory results show a low white blood cell count. This lab finding was not a factor of race, but instead was linked...

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BMI genetics influence heart function

Jun. 16, 2022—Vanderbilt researchers have discovered that a genetic predisposition to elevated body mass index increases the risk of diastolic dysfunction — a cardiac condition that can lead to heart failure.

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Pushing (anti-overdose) drugs

May. 23, 2022—An automated alert to encourage clinicians to coprescribe naloxone for patients at risk of opioid overdose increased naloxone prescriptions per opioid prescription 16-fold.

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VUMC Clickbusters program helps reduce EHR alerts

Mar. 24, 2022—Vanderbilt's Clickbusters program is helping to stem alert fatigue associated with the Medical Center's clinical IT system.

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Osterman plays key role in major oncology EHR initiative

Feb. 3, 2022—Vanderbilt's Travis Osterman, DO, MS, is leading an integral component of the Minimal Common Data Elements (mCODE) initiative, establishing common data standards for oncology clinicians and researchers.

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