DATA-CENTRIC CARE™ – Direct Patient Accountability


PROBLEM: In the wake of COVID-19, global healthcare costs continue to mount. Millions of patients across all categories of chronic disease require a solution that maintains standard of care while providing cost-effective healthcare through operational efficiencies and data intelligence.

Remote Patient Monitoring (RPM)

CHALLENGE: How do we access and help patients with chronic disease before they are hospitalized? Can patients be accessed through a direct-to-consumer model? or will they need to be accessed through hospitalization? How do we care for patients after they are discharged from the hospital?

SOLUTION: DATA-CENTRIC CARE™ Patients take an active role in their own healthcare by periodically monitoring their own vitals (at home) determined by (chronic) illness. Patients have access to a remote clinician for consultation. Data generated can be accessed by doctors. Data analytics provides additional insight (trend analysis) into patient care (i.e. data intelligence). Proprietary data analytics and predictive modeling (including machine learning and AI algorithms) increases the effectiveness of response.

DATA-CENTRIC CARE™ – COVID-19 Specific Care Modalities

COVID-19 Specific Modalities

COVID-19 – SPECIFIC MODALITIES: Focus includes minimum number of modalities to reduce burden on patient receiving care. Criteria uses specific modalities based on COVID-19 treatment and remote patient monitoring. Data analytics provides intelligence extracted from patient data to minimize number of modalities needed.

COVID-19 Specific Applications

COVID-19 – SPECIFIC APPLICATIONS: Telemedicine provides patient care in isolation. Remote patient monitoring tracks disease progression and individual health. Data analytics provides COVID-specific symptomatic, precursor and asymptomatic indicators. Predictive modeling provides ventilator and modality deployment during COVID-19 pandemic. Predictive modeling is key to increasing effectiveness of care.