1999
DOI: 10.1136/jamia.1999.0060512
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Improving Response to Critical Laboratory Results with Automation: Results of a Randomized Controlled Trial

Abstract: An automatic alerting system reduced the time until an appropriate treatment was ordered for patients who had critical laboratory results. Information technologies that facilitate the transmission of important patient data can potentially improve the quality of care.

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Cited by 194 publications
(134 citation statements)
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“…The system was evaluated in a pilot study of 4 tests (glucose, potassium, sodium, hematocrit) monitored over a 2-month period. The documented physician response rate in this limited study was 69% (8 ). This is nearly identical to our direct physician response rate before we instituted the 7-min reminder, which resulted in an eventual 89% rate.…”
Section: Discussionsupporting
confidence: 64%
See 1 more Smart Citation
“…The system was evaluated in a pilot study of 4 tests (glucose, potassium, sodium, hematocrit) monitored over a 2-month period. The documented physician response rate in this limited study was 69% (8 ). This is nearly identical to our direct physician response rate before we instituted the 7-min reminder, which resulted in an eventual 89% rate.…”
Section: Discussionsupporting
confidence: 64%
“…The amount of time spent by laboratories reporting thousands of crisis values per year is significant in hospitals that treat many critically ill patients. In recognition of the substantial commitment of effort and time, a few attempts have been made to develop automated systems for the reporting of critical values (8,9 ).…”
mentioning
confidence: 99%
“…Automated clinical surveillance systems are effective for a variety of clinical conditions including the identification of sepsis (19), adverse drug reactions (20,21), and more recently, AKI (22,23). These surveillance systems have assisted with faster identification of events compared with usual care that has been shown to improve shortterm progression of AKI severity (22,24,25). Future studies are needed to determine the effect of clinical surveillance systems used to detect AKI on long-term recovery of renal function, as well as how these systems can be further refined to enhance the detection and management of AKI.…”
Section: Discussionmentioning
confidence: 99%
“…First, although numerous studies have reported that CIS use translates into benefits (e.g., fewer medication errors, [26][27][28][29] increased financial gain, 30 better quality of care, 31,32 improved practitioners' performance, 33-35 enhancement of diagnostic accuracy 36 and increased safety 3,37 ), computer systems that satisfy users and that actually contribute to the quality and safety of patient care are rare. [4][5][6][38][39][40][41][42] By depicting the dynamics of the implementation process, our study helps to explain why this is so.…”
Section: Discussionmentioning
confidence: 99%