Back to search

Article

Assessing the quality of clinical and administrative data extracted from hospitals: The General Medicine Inpatient Initiative (GEMINI) experience

2020-03-18

Abstract excerpt

<h4>Objective</h4> Large clinical databases are increasingly being used for research and quality improvement, but there remains uncertainty about how computational and manual approaches can be used together to assess and improve the quality of extracted data. The General Medicine Inpatient Initiative (GEMINI) database extracts and standardizes a broad range of data from clinical and administrative hospital data sy...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
afbe92d3-743b-5359-b9f5-b808aba9a736
DOI
10.1101/2020.03.16.20036962
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Assessing the quality of clinical and administrative data extracted from hospitals: The General Medicine Inpatient Initiative (GEMINI) experienceDOI 10.1101/2020.03.16.20036962
Select a neighboring publication to make it the new centre.