Validation of an electronic surveillance system for acute lung injury.

Creative Commons License

Herasevich V., Yilmaz M., Khan H., Hubmayr R. D., Gajic O.

Intensive care medicine, vol.35, pp.1018-23, 2009 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 35
  • Publication Date: 2009
  • Doi Number: 10.1007/s00134-009-1460-1
  • Journal Name: Intensive care medicine
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1018-23
  • Keywords: Respiratory distress syndrome, Adult, Syndrome surveillance, Database, Datamart, Diagnosis, INTENSIVE-CARE-UNIT, RESPIRATORY-DISTRESS-SYNDROME, VENTILATION, DEFINITIONS, CAPACITY, OUTCOMES, ALARMS, NUMBER
  • Akdeniz University Affiliated: Yes


Early detection of acute lung injury (ALI) is essential for timely implementation of evidence-based therapies and enrollment into clinical trials. We aimed to determine the accuracy of computerized syndrome surveillance for detection of ALI in hospitalized patients and compare it with routine clinical assessment.