Creating synthetic patient data to support the design and evaluation of novel health information technology.

ABSTRACT: To ensure that new health information technology supports its intended users, researchers and developers need to follow human-centered methods during all stages of the software development lifecycle, including early stage evaluations. These evaluations need to include realistic testing scenarios to ensure that they provide valuable and accurate feedback to system developers. However, obtaining realistic patient data to support these evaluations has many challenges, including the risk of re-identifying anonymized patients as well as the costs associated with connecting test systems with production ready clinical databases. Here we present a novel five-step process to create highly structured and realistic synthetic patient data to support the evaluation and comparison of early to middle sta

SUBMITTER: Pollack AH 

PROVIDER: S-EPMC8120995 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature