VALIDATION OF WIRELESS REAL-TIME MULTI-VITALS MONITORING SOLUTION FOR UTILITY IN REMOTE PATIENT MONITORING AT CLINICAL CARE PRACTICE
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Background: Recently the combination of telehealth with remote patient monitoring has paved the way for enhanced and augmented healthcare services. Its benefits include obtaining efficient, cost and time-saving patient’s information and minimizing error factors. The validation of multi-vital artificial intelligence-based software (Vigo platform) was conducted to correlate the reproducibility of real-time vital recording solution internally by comparing with standard methods and externally on screen of app, nursing station and command centre. Methods: IEC approval and informed consent were obtained. A total of seventeen healthy volunteers were admitted and deployed on the multi-vital monitoring solution kit in an ambient environmental settings and recordings continued for 24 hours. The values were correlated by those obtained through standard methods and CE-certified medical devices over the time-points 0, 2, 4, 6, 8, 10, 12, and 24 hours. ECG were measured at 0, 4, 8, 12, and 24 hours respectively. Results: All the volunteers were male of mean age 21 ± 3 years and mean BMI 22.9 ± 1.7 Kg/m2. Vital parameters included heart rate, pulse rate, respiratory rate, temperature, systolic blood pressure, diastolic blood pressure and ECG values including P-wave, PR-interval, QRS-complex, RR-interval, QT-interval, ST-Segment, T-wave were strongly and significantly correlated internally ranging 88-98% (p>0.01) and 100% correlated externally (p>0.01). Conclusion: All the vital parameters and ECG measures were strongly matched and correlated internally and externally. This work supports remote monitoring technology as part of remote patient care. Thus, the software solution Vigo platform that was developed in this work may become a route to patients’ safety.
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