Related Experiment Video
Updated: May 1, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
A prospective tool for risk assessment of sendout testing
Bonnie Cole1, Jane A Dickerson2, Mark L Graber3
1Department of Laboratories, Seattle Children's Hospital, Seattle, WA, United States; Department of Pathology, University of Washington, Seattle, WA, United States.
A new prospective tool helps identify risks in laboratory sendout testing, a process prone to errors. This assessment tool is useful and easy to use, aiding quality improvement efforts.
Area of Science:
- Clinical Laboratory Science
- Patient Safety
- Diagnostic Error Reduction
Background:
- Laboratory testing errors pose significant patient harm risks.
- Sendout testing, involving external reference laboratories, is high-risk due to complexity and manual processes.
- No prospective tools currently exist for assessing sendout testing risks.
Purpose of the Study:
- To develop and pilot a novel prospective tool for assessing diagnostic error risks in laboratory sendout testing.
- To evaluate the tool's utility and usability across multiple clinical sites.
Main Methods:
- A new prospective risk assessment tool was created for laboratory sendout testing.
- The tool was piloted and evaluated at nine different healthcare sites.
Main Results:
- The pilot revealed significant diversity in quality metrics and utilization management practices among sites.
- Most sites had test ordering committees but lacked consistent rule enforcement.
- Few sites routinely tracked clinician failure to retrieve test results.
- The developed tool was found to be useful and easy to implement.
Conclusions:
- The novel prospective tool can help laboratories identify high-risk areas in sendout testing.
- This risk identification can guide targeted quality improvement initiatives and resource allocation.
- Adoption of this tool can enhance patient safety by mitigating diagnostic errors.
Related Concept Videos
Significance Testing: Overview
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Receiver Operating Characteristic Plot
Quantifying and Rejecting Outliers: The Grubbs Test
Sensitivity, Specificity, and Predicted Value
Sensitivity is the...

