Interface-driven design : a case study in deep brain stimulation data management
With Deep Brain Stimulation (DBS) emerging as a powerful therapy for Parkinson's Disease (PD), the effective capture, retrieval and analysis of data are some of the major informatics challenges. To address the challenges, this dissertation presents the interface-driven design of DBS-CRADLE, a web-based Clinical Research Analytics Data Lifecycle Environment for Deep Brain Stimulation. DBS-CRADLE is designed in a rapid and iterative development cycle by frequently involving domain experts and future users throughout the project lifespan by utilizing an innovative agile development strategy called Web-Interface-Driven Design (WIDD). DBS-CRADLE aims to provide (1) data capture interface, providing multiple ways of data entry assistance and validation to ensure the data quality; (2) meaningful data organization, mirroring the workflow of actual patient-clinician interactions; (3) visual navigation aid, facilitating information and web page accessibility. The WIDD design of DBS-CRADLE resulted in 38 distinct data capture interfaces and 849 discrete data elements in collaboration with clinical experts at the Movement Disorders Center of the University Hospitals Neurological Institute in Cleveland
Thesis, Dissertation, English, 2015
Case Western Reserve University, Cleveland, Ohio, 2015