Automated end-to-end blood testing at the point-of-care: Integration of robotic phlebotomy with downstream sample...

Area of Science:

• Biomedical Engineering
• Clinical Diagnostics
• Robotics

Background:

• Diagnostic blood testing is crucial for medical decisions but relies on manual draws and centralized labs.
• Current methods face challenges with clinician skill dependency, patient variability, and labor-intensive analysis.
• Point-of-care testing offers potential for faster, more accessible diagnostics.

Purpose of the Study:

• To present a novel medical device for fully automated, end-to-end blood testing at the point-of-care.
• To integrate an image-guided venipuncture robot with a centrifuge-based blood analyzer.
• To demonstrate the accuracy and repeatability of automated blood draws and hematology analysis.

Main Methods:

• Developed an image-guided robotic system for automated venipuncture.
• Integrated the robot with a centrifuge-based analyzer for hematology measurements.
• Validated a white blood cell assay using blood-mimicking fluid and blood vessel phantoms.

Main Results:

• Demonstrated correlation between packed bead layer area and concentration in a white blood cell assay.
• Evaluated the pumping efficiency of the automated sample handling module.
• Assessed the accuracy and repeatability of the integrated device's white blood cell assay.

Conclusions:

• The developed medical device enables automated, point-of-care blood collection and analysis.
• The integrated system shows promise for accurate and repeatable diagnostic measurements.
• This technology has the potential to revolutionize clinical diagnostics by improving efficiency and accessibility.