electronic health records

Automated techniques can assist in understanding and managing growing volumes of messages sent through secure patient portals, Vanderbilt researchers found.

Vanderbilt University Medical Center has been approved for a $1 million funding award by the Patient-Centered Outcomes Research Institute (PCORI) to study more efficient and feasible ways to validate electronic health records (EHR) and incorporate this information into medical studies.

A research team at Vanderbilt University Medical Center (VUMC) will develop a crowdsourcing solution for generating a wide range of labeled data sets from electronic health records (EHRs).

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.

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