A team of Vanderbilt University graduate students have developed a fast, intuitive and visual user interface that can be paired with most existing electronic medical recording systems. The system was built to increase efficiency and efficacy of clinical documentation, as well as to decrease the amount of time clinicians spend entering notes post-visit. Built with the end-user in mind, the system fits seamlessly into current clinical routines.
“As med students and future medical providers, we have a unique perspective,” said Pedro Teixeira, M.D./Ph.D. student in the Department of Biomedical Informatics. “What we see often in the field is a lot of desktop systems that have been ported over to a tablet. The interfaces are web-based and cumbersome.”
Teixeira also noted that some current systems attempt to create tablet based interfaces, but none offer a fluid, touch-based interface.
“Some designers have tried to more faithfully replicate what you can do on an Android or iPad tablet by incorporating simple gestures like swiping to reveal information or to select things,” said Teixeira. “Our system is different because we built it from the ground up with a touch-rich interface in mind and is focused on the components we know that clinicians need in a smart electronic medical record system.”
A key component of this user interface is its clinical support and prediction capability. The predictive tool is ever-present and flows seamlessly with the users workflow.
The system includes the three main pages that care providers would need:
- a patient summary page,
- a data entry page, which allows care providers to input current symptoms, and
- an assessment and planning page.
Watch the demo below.
Inventors of the User Interface:
Pedro Teixeira
M.D./Ph.D. Candidate
Dept. of Biomedical Informatics
Vanderbilt University School of Medicine
Michael Poku
M.D./MBA Candidate
Harvard Business School
Vanderbilt University School of Medicine
Robert Cronin, M.D.
MS Candidate
Dept. of Biomedical Informatics
Vanderbilt University School of Medicine
Wen Wen
MS Candidate
Harvard Graduate School of Design
Ravi Atreya
M.D./Ph.D. Candidate
Dept. of Biomedical Informatics
Vanderbilt University School of Medicine