Ambulance-based assessment of NIH Stroke Scale with telemedicine: A feasibility pilot study

Author:

Barrett Kevin M1,Pizzi Michael A12,Kesari Vivek1,TerKonda Sarvam P34,Mauricio Elizabeth A1,Silvers Scott M5,Habash Ranya6,Brown Benjamin L7,Tawk Rabih G7,Meschia James F1,Wharen Robert7,Freeman William D127

Affiliation:

1. Department of Neurology, Mayo Clinic, USA

2. Department of Critical Care, Mayo Clinic, USA

3. Connected Care, Mayo Clinic, USA

4. Department of Plastic Surgery, Mayo Clinic, USA

5. Emergency Department, Mayo Clinic, USA

6. Everbridge (HipaaBridge, formerly e-HipaaChat), Everbridge-USA, USA

7. Department of Neurosurgery, Mayo Clinic, USA

Abstract

Background Ischemic stroke is a time-sensitive disease, with improved outcomes associated with decreased time from onset to treatment. It was hypothesised that ambulance-based assessment of the National Institutes of Health Stroke Scale (NIHSS) using a Health Insurance Portability and Accountability Act (HIPAA)–compliant mobile platform immediately prior to arrival is feasible. Methods This is a proof-of-concept feasibility pilot study in two phases. The first phase consisted of an ambulance-equipped HIPAA-compliant video platform for remote NIHSS assessment of a simulated stroke patient. The second phase consisted of remote NIHSS assessment by a hospital-based neurologist of acute stroke patients en route to our facility. Five ambulances were equipped with a 4G/LTE-enabled tablet preloaded with a secure HIPAA-compliant telemedicine application. Secondary outcomes assessed satisfaction of staff with the remote platform. Results Phase one was successful in the assessment of three out of three simulated patients. Phase two was successful in the assessment of 10 out of 11 (91%) cases. One video attempt was unsuccessful because local LTE was turned off on the device. The video signal was dropped transiently due to weather, which delayed NIHSS assessment in one case. Average NIHSS assessment time was 7.6 minutes (range 3–9.8 minutes). Neurologists rated 83% of encounters as ‘satisfied’ to ‘very satisfied’, and the emergency medical service (EMS) rated 90% of encounters as ‘satisfied’ to ‘very satisfied’. The one failed video attempt was associated with ‘poor’ EMS satisfaction. Conclusion This proof-of-concept pilot demonstrates that remote ambulance-based NIHSS assessment is feasible. This model could reduce door-to-needle times by conducting prehospital data collection.

Publisher

SAGE Publications

Subject

Health Informatics

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