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Abstract Details

Introducing New Technologies in a Training Program: Lessons from Implementing a Stat Electroencephalography Program at a Major Academic Medical Center
Epilepsy/Clinical Neurophysiology (EEG)
P6 - Poster Session 6 (12:00 PM-1:00 PM)
12-005

The MicroEEG system is a miniature, wireless, battery-powered electroencephalography (EEG) device recently validated for diagnostic accuracy comparable to a traditional EEG system. It has been shown to reliably improve management of patients with altered mental status in the emergency department setting. Although the device has tremendous implications for excluding non-convulsive status epilepticus (NCSE), there are challenges to practical implementation that have not been well characterized.



Describe early successes and struggles of adaptation of a stat electroencephalography system.

The MicroEEG system was adopted at Boston Medical Center in May 2019. Residents were the target users. A faculty member provided instructions and demonstrations every six months. Residents were encouraged to consult with the faculty member in real time with technical difficulties. Feedback was obtained via semi-structured interviews after use and during regular resident meetings. We reviewed cases of early use at our center, its influence on care, and how residents perceived its use.


MicroEEG has been used most frequently- in the emergency department (86%), by residents (71%), during evenings/weekends (100%), with primary indication to exclude NCSE (100%). Challenges include competing time constraints as residents, perceived lack of training with first time use and hardware challenges. Residents found benefits in help by senior residents with multiple uses (“early adopters”), real-time technical help by faculty and allowing MicroEEG to run while carrying out other tasks. Residents remain incentivized to use the system due to potential for improving patient care.


MicroEEG has been impactful although practical challenges remain. Our study illustrates lessons on adopting new technologies in a training program. In addition to awareness of time costs of use by trainees and soliciting feedback regularly, successful implementation relies on recruiting early adopters and close involvement of faculty familiar with trainee workflow.


Authors/Disclosures
Erin Barnes, MD (Albany Medical Center)
PRESENTER
Dr. Barnes has nothing to disclose.
Anuj Patel, MD (MD Anderson Cancer Center) Dr. Patel has nothing to disclose.
K. H. Vincent Lau, MD (Boston Medical Center) Dr. Lau has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Guidepoint. The institution of Dr. Lau has received research support from Amyloidosis Foundation.