Decision support alerts for clinical laboratory and blood gas data.
We have designed and implemented a computerized Intensive Care Unit (ICU) decision support alerting system which analyzes all incoming laboratory and blood gas data for critically abnormal values and trends. A computerized patient data management system (HP 78709A PDMS, Hewlett-Packard Co., Waltham, MA) serving 20 Surgical ICU beds is networked to a Clinical Laboratory Information System and a blood gas computer system. The ALERTS subsystem operates on the PDMS as an automatic program triggered by the receipt of fresh laboratory data. Three types of ALERTS are detected: (1) high and low critical values, (2) calculation-adjusted critical values, and (3) critical trends. Once detected, a specific ALERT message is displayed at the bottom of the patient's bedside PDMS terminal and at the central station. Over an eight month period a total of 1,515 ALERTS were detected from amongst approximately 115,000 laboratory data results transmitted to the Surgical Intensive Care Unit (SICU). Slightly over half of all ALERTS were caused by critical blood gas values. ALERTS were found to be a sensitive indicator of severity of illness: patients with one or more ALERTS suffered an ICU mortality of 9.52%, compared to 0% mortality in patients with no ALERTS. We conclude that automated laboratory data ALERTS represent a valuable decision support tool for the management of high risk ICU patients.
Shabot
M M
MM
Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, California.
LoBue
M
M
Leyerle
B J
BJ
Dubin
S B
SB
D001784:Blood Gas Analysis / Q000295:instrumentation*; D002140:California; D002624:Chemistry, Clinical / Q000295:instrumentation*; D003661:Decision Support Techniques; D006751:Hospital Information Systems; D006801:Humans; D007362:Intensive Care Units; D007902:Length of Stay; D009026:Mortality; D012984:Software; D012985:Software Design