MedEncAI - Agentic AI for Medical Coding and Clinical Notes Extraction

Loka MedEncAI - Encounter Assistant is a platform-ready clinical documentation agent that health-technology companies embed into their own products under their own brand. The solution captures full encounter audio, transcribes it using AWS Transcribe Medical, and runs an autonomous agentic workflow on Amazon Bedrock AgentCore that produces complete, structured clinical notes, including ICD-10-CM and CPT coding, grounded in the source transcript and ready for physician review. Unlike enterprise SaaS scribe products that constrain customers to fixed workflows and vendor-controlled roadmaps, MedEncAI - Encounter Assistant deploys into the customer's AWS account as a fully customizable, single-tenant stack. Every layer (agent logic, note templates, coding tools, evaluation framework, and reference UI) can be modified, extended, and operated by the customer's engineering team. There is no per-provider licensing fee; customers pay only for the AWS infrastructure consumed.

The agent does not simply prompt a language model and return the result. It plans its approach, calls grounded tools (AWS Comprehend Medical for ICD-10 coding, Bedrock Knowledge Bases for CPT retrieval), drafts a structured note, submits it to a supervisory LLM for rubric-based review, and self-corrects before emitting a final output. Every clinical claim in the note carries references to the specific transcript segments that support it, enabling downstream human review without re-listening to the encounter.

MedEncAI - Encounter Assistant is delivered through a professional services engagement. Loka's engineering team handles environment setup, customer-specific branding and UX customization, EHR integration where applicable, physician training, and a metrics-driven trial period before general rollout.

Benefits:

• Full IP ownership and white-labeling: deployed in the customer's AWS account under the customer's brand with no vendor lock-in
• Autonomous agentic architecture with self-correction: a reasoning agent that plans, grounds, reviews, and revises rather than a single-prompt pipeline
• Built-in hallucination verification: every output field cites its source transcript segment, structurally preventing fabricated clinical content
• Grounded medical coding: ICD-10 via AWS Comprehend Medical and CPT via Bedrock Knowledge Bases, never generated from the language model alone
• Continuous production evaluation: 10% of real invocations scored automatically for correctness, faithfulness, and coding accuracy
• Deeply customizable: note templates, agent behavior, rubric criteria, evaluation thresholds, branding, and UX adapt to each organization's clinical workflows
• AWS-native, consumption-based pricing: no per-provider or per-encounter licensing fees
• HIPAA-eligible architecture: encryption at rest and in transit, audit trails, PHI minimization, zero-trust access controls, and stateless execution with no cross-session data leakage