Case Study 1: Accessibility
Breaking Down Barriers with IMPACTA Salud in Peru
Consistent cognitive monitoring is a major challenge when distance and cost are obstacles. By deploying TELL's remote, voice-based platform, we eliminated the need for difficult in-person travel, bringing care directly to patients.
180,000
Kilometers in avoided travel, removing a massive logistical barrier for patients.
$54,000
Saved in transportation costs for families and the healthcare system.
3,000
Hours of patient and caregiver time saved annually, giving them back invaluable time.
Case Study 2: Clinical Certainty
From Doubt to Data with CETRAM in Chile
Differentiating between complex pathologies with overlapping symptoms requires objective data. By integrating TELL into their workflow, clinicians at this specialized movement disorder clinic gained a new layer of quantitative insight to support their decisions.
Boosted Diagnostic Certainty
A 2x increase in diagnostic certainty was reported by clinicians using TELL.
Clarified Unclear Cases
30% of cases with previously uncertain pathology were clarified with TELL's data.
Annual Savings
$1,500 - $2,200
Saved per patient by reducing misdiagnoses and avoiding ineffective medications or unnecessary imaging.
Case Study 3: Early Detection
Rewriting the Timeline with the Davos Alzheimer's Collaborative
The greatest challenge in fighting neurodegenerative disease is its silent progression. In global initiatives, TELL is used as a scalable screening tool to identify the earliest signs of cognitive risk, years before standard clinical symptoms appear.
A New Paradigm for Early Awareness
TELL Detection Window
Detection of cognitive risk 5-10 years earlier than standard methods.
Standard Diagnosis
Diagnosis typically occurs only after clear clinical symptoms emerge, limiting the effectiveness of interventions.
Tripled Intervention Window
This early detection triples the window of opportunity for lifestyle and therapeutic interventions.
Potential System Savings
Up to $4M/year
Prevented in long-term care costs for every 10,000 patients screened, showcasing massive health system savings.