Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.

ABSTRACT:

Background

Complex electronic medical records (EMRs) presenting large amounts of data create risks of cognitive overload. We are designing a Learning EMR (LEMR) system that utilizes models of intensive care unit (ICU) physicians' data access patterns to identify and then highlight the most relevant data for each patient.

Objectives

We used insights from literature and feedback from potential users to inform the design of an EMR display capable of highlighting relevant information.

Methods

We used a review of relevant literature to guide the design of preliminary paper prototypes of the LEMR user interface. We observed five ICU physicians using their current EMR systems in preparation for morning rounds. Participants were interviewed and asked to explain their interact

SUBMITTER: Calzoni L 

PROVIDER: S-EPMC7560537 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature