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

• Published in: International journal of medical informatics (Shannon, Ireland) Ireland), 2019-09, Vol.129, p.388-393
• Main Authors: Jadczyk, Tomasz, Kiwic, Oskar, Khandwalla, Raj M., Grabowski, Krzysztof, Rudawski, Slawomir, Magaczewski, Przemyslaw, Benyahia, Hafidha, Wojakowski, Wojciech, Henry, Timothy D.
• Format: Article
• Language: English
• Subjects: Electronic health record; Machine learning; Natural language understanding
• ISSN: 1386-5056; 1872-8243
• DOI: 10.1016/j.ijmedinf.2019.07.001

•CardioCube automates collection of medical data using voice interface.•Voice-enabled technology is user-friendly and suitable for patients with heart disease.•CardioCube supports paperless patient check-in and registration. 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. 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. 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. 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.