How Tiba is Using AI to Revolutionize Healthcare

Low Digital Adoption Crisis

Only 18.1% of healthcare workers actively use existing KeEMRs across 213 facilities in 19 counties. Traditional EMR systems require extensive training and disrupt familiar workflows.

Impact: Wasted investment in digital infrastructure, continued reliance on paper records

Zero-Training AI Adaptation

Tiba works with existing workflows—clinicians continue using paper and voice notes while AI automatically digitizes everything in the background. No training required, no workflow disruption.

Prohibitive Implementation Costs

Traditional EMR systems cost $15,000-$70,000 per physician plus ongoing IT support, infrastructure upgrades, and months of training—unaffordable for most African healthcare facilities.

Impact: Digital divide widens, smaller facilities remain on paper indefinitely

AI-First Cost Reduction

Tiba's AI eliminates expensive infrastructure and training costs. Works on mobile devices, processes existing paper records, and provides enterprise-grade functionality at fraction of traditional EMR costs.

Cultural Workflow Mismatch

Western-designed EMR systems ignore African healthcare rhythms: communal decision-making, oral tradition, family involvement, and resource-constrained environments that rely on improvisation.

Impact: Clinician resistance, poor adoption, systems that don't fit local care delivery patterns

Culturally Adaptive AI

AI understands multiple languages, processes handwritten notes in local scripts, adapts to varied documentation styles, and preserves the human-centered care approach while adding digital benefits.

Data Fragmentation & Loss

Patient records scattered across facilities, handwritten notes easily lost or damaged, no interoperability between systems, critical health information disappears when patients move between providers.

Impact: Misdiagnoses, repeated tests, medication errors, inability to track disease patterns

Intelligent Data Unification

AI automatically extracts and standardizes data from any source—paper, voice, images—creating unified patient records. Smart matching prevents duplicates while maintaining data even when original papers are lost.