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ABSTRACT: Objective
A number of clinical decision support tools aim to use observational data to address immediate clinical needs, but few of them address challenges and biases inherent in such data. The goal of this article is to describe the experience of running a data consult service that generates clinical evidence in real time and characterize the challenges related to its use of observational data.Materials and methods
In 2019, we launched the Data Consult Service pilot with clinicians affiliated with Columbia University Irving Medical Center. We created and implemented a pipeline (question gathering, data exploration, iterative patient phenotyping, study execution, and assessing validity of results) for generating new evidence in real time. We collected user feedback and asse
SUBMITTER: Ostropolets A
PROVIDER: S-EPMC8449613 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature