electronic health records (EHRs)

September 10, 2020

Award supports integration of genomic data, electronic health records

Eric Gamazon, PhD, assistant professor of Medicine, has been awarded a $1.5 million grant from the National Human Genome Research Institute, part of the National Institutes of Health (NIH), to develop novel computational tools that integrate functional genomic data and electronic health records.

By Leigh MacMillan
Adam Wright, PhD, directs the new Clickbusters program to reduce alert fatigue in VUMC’s electronic health records system.
July 16, 2020

Clickbusters program takes on EHR alert fatigue

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.

By Paul Govern
July 1, 2020

Facial recognition solves patient identification: study

Patient misidentification is an all too common cause of medical error. In low- and middle-income countries, free, open-source facial recognition software could provide an economical solution for verifying patient identity across health care settings, according to a study by Martin Were, MD, MS, and colleagues, appearing in the International Journal of Medical Informatics.

By Paul Govern
May 27, 2020

Target trials support drug safety in pregnant women

Out of concern for fetal safety, pregnant people have typically been excluded from drug trials. And when human health is on the line, drug studies assessing fetal safety in animal models may be viewed as far from definitive.

By Paul Govern
April 30, 2020

EHRs, biobanks and Mendelian diseases

Electronic health records and biobanks can be effectively combined to detect and study Mendelian diseases such as cystic fibrosis.

By Leigh MacMillan
April 23, 2020

VUMC team creates COVID-19 research registry

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.

By Paul Govern
February 6, 2020

Genetics and EHRs

Lisa Bastarache, MS, research assistant professor of Biomedical Informatics, and Tony Capra, PhD, associate professor of Biological Sciences and Biomedical Informatics, described the intersection of genetics and electronic health records during last week’s Cutting-Edge Discovery Lecture.
By Bill Snyder
January 29, 2020

New center seeks to strengthen clinical informatics

For many years, VUMC has been recognized as a leader in clinical informatics — the application of computer science and information science to the delivery of health care services.
By Paul Govern
January 22, 2020

VUMC’s Capra, Bastarache set for Jan. 30 Cutting-Edge Discovery Lecture

The intersection of genetics and electronic health records will be discussed by two Vanderbilt University researchers during a Cutting-Edge Discovery Lecture on Thursday, Jan. 30. The lecture will begin at 4 p.m. in 208 Light Hall.
By Leigh MacMillan
January 15, 2020

VUMC study to use artificial intelligence to explore suicide risk

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.
By Paul Govern
January 13, 2020

Vanderbilt-led team discovers new genetic disease and defines underlying mechanism

An international research team has discovered a new genetic syndrome caused by mutation of a single gene and named it CATIFA, an acronym for its core symptoms.
By Leigh MacMillan
January 8, 2020

New software aims to prevent intensive care unit delirium

Intensive care unit delirium, a fertile area of clinical research and patient care innovation associated with VUMC, is beginning to reshape how commercial electronic health record systems are engineered with regard to intensive care.
By Paul Govern
December 12, 2019

Gregor Mendel would be proud

A computational method that uses hospital billing codes and electronic health records can identify genetic disease cases before clinical teams do.
By Paul Govern