AI‑Powered Process Automation for Healthcare Provider

New engagement will automate intake, triage, and scheduling workflows while preserving clinical oversight and regulatory compliance

Lead paragraph

Tkmetrix has commenced a strategic development engagement with a major healthcare provider to design and build a secure, AI‑enabled process automation platform. The platform will automate routine administrative tasks, streamline patient intake and referral workflows, and deliver predictive insights to support clinical and operational decision making.

Project scope and phased delivery

The engagement is structured in four phases: discovery and compliance scoping, clickable prototype, MVP focused on intake automation, and iterative expansion into predictive scheduling and resource optimization. Initial objectives include reducing administrative processing time by 50 percent and improving appointment utilization by 20 percent. The platform will integrate with the provider’s EHR, support role‑based access, and include audit trails to meet regulatory requirements.

Technical and compliance highlights

• AI capabilities: Natural language intake parsing, eligibility checks, and predictive triage suggestions.
• Integrations: Secure EHR connectors, identity verification, and messaging channels for patient notifications.
• Security and compliance: HIPAA‑aligned controls, encryption at rest and in transit, and comprehensive audit logging.

Executive quote

“Our healthcare partner asked for a solution that reduces administrative burden without compromising clinical judgment,” said Haseeb Arshad, CEO of Tkmetrix. “By combining domain expertise with responsible AI, we’ll deliver measurable efficiency gains and a better experience for staff and patients.”

Expected outcomes and KPIs

• 50% reduction in administrative intake time.
• 20% improvement in appointment utilization.
• Faster referral routing and fewer manual handoffs.

Assets included

• Picture or screenshot of the product