Digital Model’s Structure Andremote Patient Monitoring in Respiratory Medicine

Digital regression models based on an interactive questionnaire and objectively measured results were used for the investigation of new objective methods of remote monitoring of respiratory patients. 43 patients with COPD and 26 with bronchial asthma were examined in a retrospective-prospective observation study before and after exacerbation in the hospital (the first observation). After that, theywere monitored by a digital system with an interactive questionnaire including results of Smart Watch use and a velometric test at home for at least 6 months. The effectiveness of remote patient monitoring was achieved by changes in the treatment program and rehabilitation. An integrative scale for patient monitoring effectiveness evaluation was used for a comparison study before and after remote monitoring wasstarted (historical control). The results of correlation, regression analysis, and OR calculation showed that new monitoring parameters: velometric test distance, daily steps count, night sleep duration, and the number of night awake ups were dependent on the dyspnea score and FEV1. The system of remote patient monitoring based on a digital model decreased the number of calls for emergency medical care, hospitalizations, and increased the effectiveness score of patient monitoring.