Cardiovascular
Conditions
Brief summary
New technologies offer significant opportunities to enhance the quality and intensity of care services, amplifying the ability to respond to patient needs through contactless solutions that also contribute to the humanization of care. Their application in patient monitoring can enable continuous observation, even in the absence of physically present staff, for a larger number of non-critical patients (thus reducing the risk of adverse events), and facilitate timely interventions when needed-aligned with the logic of Anglo-Saxon models based on Early Warning Systems. The general objective of this study is to conduct a pilot clinical trial of a specific solution based on Artificial Intelligence and Computer Vision, the HERO Health Monitoring (HHM) system, capable of detecting vital signs (heart rate, respiratory rate, blood oxygen saturation, and blood pressure), body posture, movements, and patients' emotional states-such as expressions of pain-using simple video devices. The study aims, in particular, to measure the concordance of the system's vital sign measurements with standard (telemetric) systems, and to assess the added value of combining these measurements with the additional information provided by HHM regarding posture, movement, and emotional state analysis-once their agreement has been verified against patient-reported outcomes collected via self-assessment questionnaires. This is an observational study involving the HERO Health Monitoring medical device, for which the certification process is expected to be completed through the present study.
Interventions
None listed
Sponsors
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age over 18 years * Signed informed consent
Exclusion criteria
* Age under 18 years * Ongoing pregnancy * Refusal to sign informed consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Level of agreement between heart rate (measured as beats per minute) collected via HHM (Home Health Monitoring) system and those obtained from standard telemetry monitoring, measured using Intraclass Correlation Coefficient | 6 months | This measure evaluates the level of concordance between heart rate (measured as beats per minute) collected by the HHM (Home Health Monitoring) system and those obtained from standard clinical telemetric monitoring systems. The agreement will be assessed using statistical methods such as Bland-Altman analysis, Intraclass Correlation Coefficient (ICC), and/or paired t-tests depending on the distribution and type of data. Measurements will be reported as mean values with standard deviations, and limits of agreement where appropriate. |
Countries
Italy
Outcome results
None listed