Patient-Friendly Medical Information Displays

Patients’ basic understanding of clinical events has been shown to dramatically improve patient care. Unfortunately, patients are frequently under-informed and unclear about our own hospital/clinical courses. The recent emergence of Electronic Medical Records (EMRs) and Personal Health Records (PHRs) makes vast amounts of data available to patients, but does little to help patients understand that data. Our work focuses on designing and building simplified information displays that will help patients understand our medical treatment and become more informed partners in our own care. This area spans ethnography, design, and algorithms: understanding patients’ information needs (an ethnography problem) is inseparable from organizing that information effectively (a design problem) and from automatically “translating” EMR data into patient-friendly vocabulary and structure (an algorithms and machine learning problem).

Contact Dan Morris for questions about our work in this area.

人数

Lauren Wilcoxの肖像

Lauren Wilcox

Assistant Professor

GA Tech

Laura Pfeifer Vardoulakisの肖像

Laura Pfeifer Vardoulakis

User Experience Researcher

Google

Amy Karlsonの肖像

Amy Karlson

Researcher

Greg Smithの肖像

Greg Smith

Principal Research Software Development Engineer

Desney Tanの肖像

Desney Tan

Corporate Vice President and Managing Director, Microsoft Research Redmond

Eric Horvitzの肖像

Eric Horvitz

Chief Scientific Officer