electronic medical record Archives
Jan. 18, 2021—VUMC has once again achieved Electronic Medical Record Adoption Model (EMRAM) Stage 6 certification from the Healthcare Information and Management Systems Society (HIMSS).
Oct. 8, 2020—A computer-based method developed at Vanderbilt University Medical Center that scans electronic medical records (EMRs) for genetic contributors to disease has been used for the first time to reveal the impact of race on health.
Jan. 29, 2020—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.
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.
VUMC, Nashville Fire Department test real-time medical record system to improve handoff of incoming emergency patients
Nov. 26, 2019—VUMC and the Nashville Fire Department are testing a system to automatically generate patient acuity scores and abbreviated care records of in-transit patient procedures based on computer interpretations of signals from sensors and video cameras.
Oct. 16, 2019—Patients who receive treatment at three VUMC clinics were recently given full access to their clinicians’ notes in their electronic medical records as part of an OpenNotes pilot.
Jul. 25, 2019—A new study finds private practice physicians are less likely to maintain electronic health records.
Mar. 14, 2019—Vanderbilt LifeFlight is known for transporting critically injured patients to Vanderbilt University Medical Center while providing emergency care with little to no medical information about its patients.
Oct. 25, 2018—The Vanderbilt Kennedy Center (VKC) has received a one-year $604,000 grant from the National Institute of Child Health and Human Development (NICHD) to use Vanderbilt University Medical Center electronic medical record information and biological samples to develop a deeper understanding of critical issues in Down syndrome and to provide an infrastructure for future analyses.