DocumentCode :
39296
Title :
Integration of New Technology for Research in the Emergency Department: Feasibility of Deploying a Robotic Assessment Tool for Mild Traumatic Brain Injury Evaluation
Author :
Subbian, Vignesh ; Ratcliff, Jonathan J. ; Meunier, Jason M. ; Korfhagen, Joseph J. ; Beyette, Fred R. ; Shaw, George J.
Author_Institution :
Dept. of Electr. Eng. & Comput. Syst., Univ. of Cincinnati, Cincinnati, OH, USA
Volume :
3
fYear :
2015
fDate :
2015
Firstpage :
1
Lastpage :
9
Abstract :
The objective of this paper is to demonstrate the effective deployment of a robotic assessment tool for the evaluation of mild traumatic brain injury (mTBI) patients in a busy, resource-constrained, urban emergency department (ED). Methods: Functional integration of new robotic technology for research in the ED presented several obstacles that required a multidisciplinary approach, including participation from electrical and computer engineers, emergency medicine clinicians, and clinical operations staff of the hospital. Our team addressed many challenges in deployment of this advanced technology including: 1) adapting the investigational device for the unique clinical environment; 2) acquisition and maintenance of appropriate testing space for point-of-care assessment; and 3) dedicated technical support and upkeep of the device. Upon successful placement of the robotic device in the ED, the clinical study required screening of all patients presenting to the ED with complaints of head injury. Eligible patients were enrolled and tested using a robot-assisted test battery. Three weeks after the injury, patients were contacted to complete follow-up assessments. Results: Adapting the existing technology to meet anticipated physical constraints of the ED was performed by engineering a mobile platform. Due to the large footprint of the device, it was frequently moved before ultimately being fully integrated into the ED. Over 14 months, 1423 patients were screened. Twenty-eight patients could not be enrolled because the device was unavailable due to operations limitations. Technical problems with the device resulted in failure to include 20 patients. A total of 66 mTBI patients were enrolled and 42 of them completed both robot-assisted testing and follow-up assessment. Successful completion of screening and enrollment demonstrated that the challenges associated with integration of investigational devices into the ED can be effectively addressed through a collaborative pat- ent-oriented research model. Conclusion: Effective deployment and use of new robotic technology for research in an urban academic ED required significant planning, coordination, and collaboration with key personnel from multiple disciplines. Clinical Impact: A pilot clinical study on mTBI patients using the robotic device provided useful data without disrupting the ED workflow. Integration of this technology into the ED serves as an important step toward pursing active clinical research in an acute care setting.
Keywords :
brain; emergency services; health care; hospitals; injuries; medical computing; medical robotics; patient diagnosis; research and development; virtual reality; ED clinical research; ED patient screening; ED-integrated robotics technology; active clinical research; acute care setting clinical research; advanced technology deployment; anticipated emergency department physical constraints; brain injury patient evaluation; busy ED workflow; busy emergency department; clinical environment investigational device; clinical study; collaborative patient-oriented research model; effective robotic assessment tool deployment; effective robotic technology deployment; emergency department patient screening; emergency department research technology; emergency department workflow; emergency department-integrated device; functional robotic technology integration; head injury patient screening; hospital clinical operations staff; hospital computer engineer; hospital device operations limitations; hospital device technical problems; hospital device upkeep; hospital electrical engineer; hospital emergency department robotic device; hospital emergency medicine clinician; hospital technical support; investigational device integration challenge; large hospital device footprint; mTBI patient evaluation; mTBI patient-utilized robotic device; medical research robotic technology; mild traumatic brain injury; mobile platform engineering; multidisciplinary approach; patient completed follow-up assessment; patient follow-up assessment; patient-completed robot-assisted testing; point-of-care assessment testing space; resource-constrained ED; resource-constrained emergency department; robot-assisted test battery; robotic assessment tool feasibility; successful robotic device placement; testing space acquisition; testing space maintenance; time 3.00 week; urban ED workflow; urban academic emergency department; urban emergency department; Hospitals; Injuries; Performance evaluation; Robot kinematics; Testing; Clinical Engineering; Clinical engineering; Emergency Department; Neurological Assessment; Technology Integration; emergency department; neurological assessment; technology integration;
fLanguage :
English
Journal_Title :
Translational Engineering in Health and Medicine, IEEE Journal of
Publisher :
ieee
ISSN :
2168-2372
Type :
jour
DOI :
10.1109/JTEHM.2015.2424224
Filename :
7093126
Link To Document :
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