• In the training phase of the study, the app accurately predicted 76% of worsening heart failure (44 of the 58 heart failure events) on average 24 days before hospitalization or the need for IV fluids occurred. The app generated an average of three unnecessary alerts per patient, per year.
• In the validation phase, the app was 71% accurate in detecting heart failure events about 3 weeks in advance (detecting 10 of 14 events). There were about three unexplained alerts per patient per year in this group as well.

• The technology used in this study was the Cordio HearO system, a remote monitoring system comprised of a smartphone-based mobile speech application.
• About 75% of the participants were men, and their average age was 68 years.
• The 263 patients in the training phase, made recordings on 83% of days between March 27, 2018—November 30, 2021 and were followed for up to 44 months. The test group of 153 patients made recordings on 81% of days between February 1,2020—April 30, 2023 and followed for up to 31 months.
• The distinct speech measures included pitch, volume, dynamics, and other characteristics.

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