Developing and Evaluating an Automated All-Cause Harm Trigger System.
BACKGROUND
From 2009 through 2012, the Adventist Health System Patient Safety Organization (AHS PSO) used the Global Trigger Tool method for harm identification and demonstrated harm reduction. Although the awareness of harm demonstrated opportunities for improvement across the system, leaders determined that the human and fiscal resources required to continue with a retrospective manual harm identification process were unsustainable. In addition, there was growing concern that the identification of harm after the patient's discharge did not allow for intervention during the hospital stay. Therefore, the AHS PSO decided to seek an alternative method for patient harm identification.


METHODS
The AHS PSO and another PSO jointly developed a novel automated all-cause harm trigger identification system that allowed for real-time bedside intervention, real-time trend analysis affecting patient safety, and continued learning about harm measurement. A sociotechnical approach of people, process, and technology was used at two pilot hospitals sharing the same electronic health record platform. Automated positive harm triggers and work-flow models were developed and evaluated.


RESULTS
Combined data from the two hospitals in a period of 11 consecutive months indicated (1) a total of 2,696 harms (combined hospital-acquired and outside-acquired); (2) that hypoglycemia (blood glucose ≤ 40 mg/dL) was the most frequently identified harm; (3) 256 harms related to the Patient Safety Indicator 90 (PSI 90) Composite descriptions versus 77 harms reported to regulatory harm reduction programs; and (4) that almost one third (32%) of total harms were classified as outside-acquired.


CONCLUSIONS
The automated harm trigger system revealed not only more harm but a broader scope of harm and led to a deeper understanding of patient safety vulnerabilities.
Christine
C
Sammer
Susanne
S
Miller
Cason
C
Jones
Antoinette
A
Nelson
Paul
P
Garrett
David
D
Classen
David
D
Stockwell
D000465:Algorithms; D056902:Clinical Alarms; D006761:Hospitals; D006801:Humans; D007049:Iatrogenic Disease; D019300:Medical Errors / Q000706:statistics & numerical data*; D016347:Medical Records Systems, Computerized; D061214:Patient Safety; D010865:Pilot Projects