Connecting the dots: Rule-based decision support systems in the modern EMR era

Research output: Contribution to journalReview article

24 Scopus citations

Abstract

The intensive care unit (ICU) environment is rich in both medical device and electronic medical record (EMR) data. The ICU patient population is particularly vulnerable to medical error or delayed medical intervention both of which are associated with excess morbidity, mortality and cost. The development and deployment of smart alarms, computerized decision support systems (DSS) and "sniffers" within ICU clinical information systems has the potential to improve the safety and outcomes of critically ill hospitalized patients. However, the current generations of alerts, run largely through bedside monitors, are far from ideal and rarely support the clinician in the early recognition of complex physiologic syndromes or deviations from expected care pathways. False alerts and alert fatigue remain prevalent. In the coming era of widespread EMR implementation novel medical informatics methods may be adaptable to the development of next generation, rule-based DSS.

Original languageEnglish (US)
Pages (from-to)443-448
Number of pages6
JournalJournal of Clinical Monitoring and Computing
Volume27
Issue number4
DOIs
StatePublished - Aug 1 2013

Keywords

  • Alert
  • Decision support systems
  • EMR
  • False-alert
  • ICU
  • Monitor
  • Sniffers

ASJC Scopus subject areas

  • Health Informatics
  • Critical Care and Intensive Care Medicine
  • Anesthesiology and Pain Medicine

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