Feasibility of a Voice-Enabled Automated Platform for Medical Data Collection: Cardiocube

Tomasz Jadczyk Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Oskar Kiwic Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Raj Khandwalla Cedars-Sinai Medical Center, Los Angeles, CA, USA Krzysztof Grabowski Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Slawomir Rudawski Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Przemyslaw Magaczewski Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Hafidha Benyahia Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Wojciech Wojakowski Research and Development Division, CardioCube Corp., Los Angeles, CA, USA Timothy Henry The Carl and Edyth Lindner Center for Research and Education at The Christ Hospital, Cincinnati, OH, USA

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.