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J Am Med Inform Assoc. 2014 May-Jun;21(3):564-8. doi: 10.1136/amiajnl-2013-001950. Epub 2013 Nov 28.

Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.

Author information

1
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Abstract

Real-time alerting systems typically warn providers about abnormal laboratory results or medication interactions. For more complex tasks, institutions create site-wide 'data warehouses' to support quality audits and longitudinal research. Sophisticated systems like i2b2 or Stanford's STRIDE utilize data warehouses to identify cohorts for research and quality monitoring. However, substantial resources are required to install and maintain such systems. For more modest goals, an organization desiring merely to identify patients with 'isolation' orders, or to determine patients' eligibility for clinical trials, may adopt a simpler, limited approach based on processing the output of one clinical system, and not a data warehouse. We describe a limited, order-entry-based, real-time 'pick off' tool, utilizing public domain software (PHP, MySQL). Through a web interface the tool assists users in constructing complex order-related queries and auto-generates corresponding database queries that can be executed at recurring intervals. We describe successful application of the tool for research and quality monitoring.

KEYWORDS:

Data Repository; Data Warehouse; EMR; Pick Off Tool; Pickoff

PMID:
24287172
PMCID:
PMC3994861
DOI:
10.1136/amiajnl-2013-001950
[Indexed for MEDLINE]
Free PMC Article

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