title: A Medical Application to Bridge the Gap between Clinicians and Clinical Data.
abstract: There currently exists a gap between medical data and the clinicians who wish to use the data as the foundation for evidence-based medicine. The current disjointed workflow often requires statisticians to act as bridges in order to answer inquiries from clinicians. This can lead to suboptimal results as due to a gap between the fundamental understanding of clinical underpinnings and formal statistical interpretation of the data. To address this challenge, we have created a multi-platform application that allows clinicians to quickly and easily navigate and analyse the data. This application has been successfully implemented and tested within the Urology department at Mount Sinai Hospital for comprehensive analysis of complex urological data.
authors.affiliation: Icahn School of Medicine at Mount Sinai, New York, NY, USA.
authors.forename: Mark
authors.initials: M
authors.lastname: Finkelstein
authors.affiliation: Icahn School of Medicine at Mount Sinai, New York, NY, USA.
authors.forename: Khawaja H
authors.initials: KH
authors.lastname: Bilal
authors.affiliation: Icahn School of Medicine at Mount Sinai, New York, NY, USA.
authors.forename: Michael
authors.initials: M
authors.lastname: Palese
mesh_terms: D003627:Data Interpretation, Statistical; D066264:Datasets as Topic; D057286:Electronic Health Records / Q000458:organization & administration*; D016247:Information Storage and Retrieval / Q000379:methods*; D009518:New York; D012984:Software; D014584:User-Computer Interface