Infusion pumps are automated devices that intravenously deliver drugs, food, or other liquids to patients. Their basic utility makes them ubiquitous, but their basic design makes them problematic:
Pump Mechanics
Most infusion therapy devices use peristaltic pumps, sometimes known as roller or rotary pumps. These pumps have rotating “blades” or “lobes” that squeeze down on the tubing with each pass, essentially pushing the fluid through the tube using positive displacement. Peristaltic pumps may run continuously, or they may be indexed through partial revolutions to deliver smaller amounts of fluid. Importantly, delivered flow is only estimated/ derived from the speed and RPM of the pumping elements and does NOT reflect actual flow.
Sources of Error
Manufacturers typically report flow accuracy of +/- 5%, but this is based on perfectly controlled lab conditions. It does not account for user error or other real-world conditions that help explain the large discrepancies with the error rates reported in clinical studies. Errors can result from many potential issues:
Despite the fact that “smart pump” technology is now present in more than 73% of the infusion devices in use, error rates remain unacceptably high.
Consequences
The Institute of Medicine (IOM) estimates that at least 1.5 million preventable adverse drug events (ADE) occur in the United States alone. Each preventable ADE has been reported to cost nearly $9,000, and infusion-related adverse drug effects are estimated to cost $2 Billion/ year in the U.S. 710 infusion-related deaths were reported from 2005-2009.
Solution
Established transit-time ultrasound flow measurement technology can precisely determine delivered flow and volume, rather than relying on pump estimates. These measurements can be done independently from the infusion device, serving as a “guard rail” against both device and user error. This added protection would come at a cost but considering the poor economic and clinical outcomes associated with current infusion practices, it may be a small price to pay for a large leap forward in accuracy. And this is particularly true when it comes to high-risk medication delivery and critically ill patients. To measure is to know!
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