Conclusions
Prediction of 30-day hospital readmission significantly improved when including remotely-monitored patient data on activity patterns after hospital discharge and using nonparametric machine learning approaches. Wearables slightly outperformed smartphones but both had good prediction. Since many patients use smartphones and wearables, data from remote patient monitoring devices could be incorporated more broadly into prediction models to identify the patients at highest risk of hospital readmission.