Using patients’ health records to assess preparedness for hospital discharge is more effective at predicting readmission or death than commonly used questionnaires.

To ease data collection for clinical research and ongoing analysis of clinical processes, teams at Vanderbilt University Medical Center (VUMC) are working to bridge the gap between clinical systems and research systems.

Unauthorized use of Vanderbilt University Medical Center's (VUMC) clinical databases — Epic, Medipac or Star Panel — to check on the health status of fellow employees or to peer into the medical records of other individuals not under someone’s care, can result in progressive discipline or even termination.

Vanderbilt investigators developed a computerized natural language processing algorithm to extract cancer stages from electronic medical records.

To most effectively use electronic health records for research, investigators should query multiple components of the record to identify patients with specific diseases.

Vanderbilt University researchers have received two major federal grants — totaling $7.6 million over four years — to support groundbreaking research aimed at making genetic information a routine part of patients’ electronic medical records.

In recent months Vanderbilt University Medical Center has begun delivering patient education materials to patients and their care teams using a technology called Infobutton.