| Literature DB >> 29396125 |
Alejandro Schuler1, Alison Callahan2, Kenneth Jung2, Nigam H Shah2.
Abstract
Our health care system is plagued by missed opportunities, waste, and harm. Data generated in the course of care are often underutilized, scientific insight goes untranslated, and evidence is overlooked. To address these problems, we envisioned a system where aggregate patient data can be used at the bedside to provide practice-based evidence. To create that system, we directly connect practicing physicians to clinical researchers and data scientists through an informatics consult. Our team processes and classifies questions posed by clinicians, identifies the appropriate patient data to use, runs the appropriate analyses, and returns an answer, ideally in a 48-hour time window. Here, we discuss the methods that are used for data extraction, processing, and analysis in our consult. We continue to refine our informatics consult service, moving closer to a learning health care system.Entities:
Keywords: Learning health system; clinical informatics; observational study; practice-based evidence
Mesh:
Year: 2018 PMID: 29396125 PMCID: PMC5901653 DOI: 10.1016/j.jacr.2017.12.023
Source DB: PubMed Journal: J Am Coll Radiol ISSN: 1546-1440 Impact factor: 5.532