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Science

Scientific approach is in our DNA. Our team is built by leading clinical researchers and physicians. We have showed our project at the most influential medical, digital health and tech conferences across the globe including: ESC Congress 2018 (Munich, Germany), TCT 2018 (San Diego, CA), MWCA18 (Los Angeles, CA), MEDICA (Dusseldorf, Germany), ICI Meeting 2018 (Tel Aviv, Israel), Mayo Clinic – Current Applications & Future of Artificial
Intelligence in Cardiology 2019 (San Francisco, CA), Project Voice 2020 (Chattanooga, TN).

Abstract

Feasibility of a voice-enabled automated platform for medical data collection: CardioCube.

Jadczyk T (1)*, Kiwic O (1)*, Khandwalla RM (2), Grabowski K (1), Rudawski S (1), Magaczewski P (1), Wojakowski W (1), Henry TD (2)

*equal contribition

(1) Research and Development Division, CardioCube Corp., Los Angeles, CA, USA; (2) Cedars-Sinai Medical Center, Los Angeles, CA, USA

Background

In outpatient clinic settings doctors devote around
50% of their time for electronic documentation and only
27% to direct face-to-face interaction with patients.

Aim

To evaluate implementation of CardioCube for automated collection of medical data from patients with
cardiovascular disease (CVD).

Results

The CardioCube system collected 432 data points with
a high agreement level between verbally provided data and corresponding EHR information (accuracy 97.51%). Tested system was able to automatically generate
summarized medical reports, which was instantly
available for a doctor in web-based EHR system.

Conclusion

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