Aim
A feasibility study was conducted to evaluate implementation of a voice-enabled automated platform for collection of medical data from patients with cardiovascular disease: CardioCube

Methods
The study enrolled 22 individuals (10 males, 45.5%) including 9 patients with cardiovascular disease and 13 healthy participants. Utilizing (1) voice-enabled patient registration software implemented on the Amazon Echo and (2) web-based electronic health record (EHR) system, study participants verbally answered a set of clinical questions. Primary endpoint: accuracy of ​the ​CardioCube system. Secondary endpoints: acceptability, usability and technical performance. The study was performed at the Outpatient Cardiology Clinic, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Results
The CardioCube system collected 432 data points with a high agreement level between verbally provided data and corresponding EHR information (accuracy 97.51%). The CardioCube was able to automatically generate a summarized medical report, which was instantly available for a doctor in the web-based EHR system. Patients reported CardioCube was “easy to use”. Applicability of the system was graded excellent by the medical staff. A single session utilized less than 0.002% of available computational resources.

Conclusion
CardioCube can collect, index and document medical data using a voice interface. In this pilot study, CardioCube supported healthcare professionals by performing time-consuming paperwork during patient registration.

01 - A Voice-Driven Artificial Intelligence for Automatic Medical Data Collection: CardioCube