endorsedCompleted

AI Clinical Operations Copilot for Healthcare Provider

Services Covered:

AI and Machine Learning • Cloud Consulting and Services

Industry

Healthcare

Duration

8 months

Budget

Confidential

Start Date

1 March 2024

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable Infinity Technologies is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Raymond Medical Repair Center

Canada

Project Summary

Infinity Technologies designed and delivered an "AI Clinical Operations Copilot" for a healthcare provider, identifying and prioritizing feasible AI use cases and implementing four LLM-based solutions plus one custom model. They operationalized models with evaluation harnesses, governance, role-based access for PHI, and deployment patterns on AWS. The engagement moved the client from broad AI ambition to a repeatable R&D-to-production pipeline that reduced manual time spent on documentation, search, and triage.

Key Challenges

Define and prioritize a portfolio of AI use cases feasible within the client's data and compliance constraints
Deliver production-ready AI solutions rapidly by leveraging existing GenAI/LLMs and building a custom model only when necessary

Project Deliverables

AI Clinical Operations Copilot
Clinical Document Summarization & Drafting (LLM-based)
Chart Navigator (RAG search over internal medical records + policies)
Referral & Prior-Auth Triage Assistant (LLM + rules)
Patient Communications Drafting (LLM-based, non-clinical)
Custom domain-specific classification model
Evaluation harness, monitoring, and governance artifacts
Deployment and scalable inference on AWS

Project Solution

Infinity Technologies led R&D workshops to discover and prioritize AI use cases, framed each case as a testable hypothesis (impact, data, risk, model strategy, evaluation). They delivered four production-ready LLM-based solutions (document summarization, retrieval/RAG chart navigator, referral/prior-auth triage, and patient communications drafting) and built one custom domain-specific classification model. They implemented evaluation harnesses, human-review loops, regression testing, role-based access controls for PHI, model benchmarking (including Hugging Face models), and deployment patterns on AWS for scalable inference, monitoring, and rollback.

Project Outcome

Moved from a broad AI ambition to a prioritized, feasible portfolio of use cases with clear ROI logic
Delivered four LLM-based AI solutions and one custom model in a short timeframe
Reduced manual time spent on documentation, search, and triage and improved consistency
Established a repeatable R&D-to-production pipeline (evaluation, governance, monitoring)
Maintained disciplined, transparent project management with stakeholder alignment

Platforms

Cloud

Tech Stack

Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Infinity Technologies helped the client move from a broad AI ambition to a prioritized portfolio of use cases. The team reduced manual time spent on documentation, search, and triage, and improved consistency through templates, citations, and validation rules.”
Wilson K
Director
Date: 02/07/2026