Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

ABSTRACT:

Objective

To develop and validate an informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

Methods

Using open-schema data feeds imported from electronic medical records (EMRs), we developed a near-real-time relational database (Multidisciplinary Epidemiology and Translational Research in Intensive Care Data Mart). Imported data domains included physiologic monitoring, medication orders, laboratory and radiologic investigations, and physician and nursing notes. Open database connectivity supported the use of Boolean combinations of data that allowed authorized users to develop syndrome surveillance, decision support, and reporting (data "sniffers") routines. Random samples of database entries in each category were

SUBMITTER: Herasevich V 

PROVIDER: S-EPMC2843116 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature