Prototype ultrasound-guided robot accurately and safely 
draws blood.
Could robots one day replace phlebotomists in 
performing routine venipuncture? Researchers at Rutgers University–New Brunswick 
demonstrated the efficacy and safety of using a hand-held robotic device to draw 
blood in a small cohort of patients, setting the stage for this possibility. “A 
device like ours could help clinicians get blood samples quickly, safely, and 
reliably, preventing unnecessary complications and pain in patients from 
multiple needle insertion attempts,” said lead author Josh Leipheimer, a 
biomedical engineering doctoral student, in a statement.
Leipheimer and his 
colleagues said this is the first study to assess an automated blood drawing and 
testing device in human subjects.
Phlebotomy success rates vary, depending on 
patient physiology and the experience of the phlebotomist. Although venous blood 
draws are a common clinical procedure, they fail often in vulnerable patients 
who are emaciated or those who don’t have palpable or visible veins. 
“Difficulties in obtaining venous access result in missed sticks and injury to 
patients and typically require alternative access pathways and additional 
personnel that lengthen procedure times, thereby creating unnecessary costs to 
healthcare facilities,” the authors summarized.
The device, an ultrasound 
image-guided robot, combines miniaturized robotics with 2D ultrasound imaging to 
identify and cannulate vessels in a patient, said Leipheimer, who developed it 
with colleagues Martin Yarmush, MD, PhD, Max Balter, PhD, and Alvin Chen, PhD. 
Ultrasound imaging provides the position of a vessel, which the device uses to 
determine where to insert the needle. Force sensors along the needle axis record 
the insertion force and detect when the needle has successfully punctured the 
vessel.
“Because of the precise needle placement and control, along with the 
2D ultrasound imaging, the device provides improvement in first-stick accuracy 
and completion time and in theory would require minimal training compared to 
traditional venipuncture,” Leipheimer explained.
To make it easier to use, 
the team modified the technology from a benchtop to a hand-held format. The new 
model still has that “human-supervised” element but retains the benefits of 
automated vessel identification and cannulation, Leipheimer said. He and his 
colleagues used the device to obtain a venous blood sample from the peripheral 
forearm veins of 31 participants, 25 of whom had easy-to-access veins. 
Among 
this small cohort, the device had a success rate of 87%, reaching 97% among 
those whose veins were easily accessible, meeting or exceeding clinical 
standards. The research team was quick to point out that it wasn’t trying to 
directly compare the device against experienced phlebotomists. “The intention of 
this device is to improve venipuncture success rates among all patient 
demographics, without requiring clinicians to have extensive past experience in 
obtaining venous access,” they clarified.
The hope is this tool could improve 
success rates and procedure times, especially in patients who have had a history 
of difficult venous access, Leipheimer said.
Next steps are to conduct a 
larger and more controlled study, comparing the device’s performance directly 
against trained clinicians in a clinical environment. Larger studies would help 
assess risks and benefits, to ready the device for the U.S. Food and Drug 
Administration’s approval process for medical devices.
“Additionally, we are 
investigating extending the applications of this technology into other areas of 
vascular access as well, such as arterial line placement and other percutaneous 
procedures,” Leipheimer said.