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Errors occurring during blood pressure monitoring

Errors occurring during blood pressure monitoring

Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
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Quantifying and Reducing Errors in Vascular Imaging Examination Orders Through a Multistage Quality Improvement

Ariadne K DeSimone¹, Madhvi Deol¹, Emma Blassel¹

¹Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Journal of the American College of Radiology : JACR

|January 4, 2024

Summary

A quality improvement intervention significantly reduced vascular imaging order errors by 83%. This involved tailored electronic health record options and education, leading to durable improvements in imaging order accuracy.

Keywords:

Medical order entry systems diagnostic error imaging order errors patient safety quality improvement

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Area of Science:

Radiology and Medical Imaging
Healthcare Quality Improvement
Health Informatics

Background:

Vascular imaging examinations are crucial for patient diagnosis and management.
Order errors in medical imaging can lead to delays, increased costs, and suboptimal patient care.
Quantifying and reducing these errors is essential for improving healthcare efficiency and patient outcomes.

Purpose of the Study:

To quantify the order error rate for vascular imaging examinations.
To assess the impact of a multistage quality improvement intervention on these error rates.
To achieve a 50% reduction in the vascular imaging order error rate.

Main Methods:

A prospective, institutional review board-exempt study was conducted at a large academic hospital.
Order data from 844 vascular imaging examinations were analyzed across pre-intervention and two post-intervention periods.
Interventions included customized electronic health record order options and an educational feedback campaign.

Main Results:

The pre-intervention order error rate was 16%, decreasing by 83% to 3% after the first intervention and remaining durable.
Chest CT scans constituted the majority of incorrect orders, with "Pre-Op" being the most common reason.
The cardiac surgery department had the highest number of incorrect orders but also showed significant improvement.

Conclusions:

Targeted quality improvement interventions can effectively reduce incorrect imaging orders.
Combining tailored electronic health record order options with education and feedback is a successful strategy.
These interventions lead to significant and durable reductions in medical imaging order errors.