Automating Healthcare Contract Analysis with AI
A leading healthcare compensation consulting firm faced a critical bottleneck: manually extracting compensation data from thousands of provider contracts across diverse formats and healthcare systems. Partnering with SunnyData, we built an AI-powered data pipeline on Databricks that automatically extracts and analyzes contract terms at scale, transforming weeks of manual work into minutes of automated processing.
Client name withheld to protect confidentiality
Key Metrics
The client is a healthcare consulting company, specializing in compensation benchmarking and talent strategy for medical groups and healthcare providers across the US. With data covering executive and physician compensation, the firm helps healthcare organizations make competitive, data-driven decisions about recruiting, retention, and compensation strategy. The company processes compensation data from thousands of providers annually, serving as the go-to source for healthcare compensation benchmarks.
Client challenges
One of the firm’s clients needed a comprehensive analysis of their provider contracts to support strategic decisions. The problem was that each contract contained more than 50 critical data points (base salary, shift differentials, sign-on bonuses, mentorship incentives, non-compete clauses, benefits packages, etc.), and these contracts arrived in inconsistent formats, such as PDFs, Word, and scanned images. Furthermore, many included several pages per contract, with multiple amendments, and as separate compensation plans. This meant thousands of contracts varying in structure and terminology that required analysis.
Due to its volume, manual processing was not an option. Besides the time and resources it might take, there’s also human error and inconsistency in data interpretation to take into account. These delays and mistakes result in the inability to quickly respond to client questions and delayed insights for timely strategic decisions. Not practical if you’re looking to expand and scale your services.
The firm needed an automated solution capable of understanding the business context of healthcare contracts, handling document variability, and extracting structured data at scale — all while maintaining the accuracy required for high-stakes compensation decisions.
The Solution
SunnyData designed and implemented an AI-powered contract analysis pipeline on Databricks, leveraging AWS services to automate the entire document-to-insights workflow.
The pipeline starts with Amazon Textract converting documents from diverse formats into machine-readable text. The intelligence layer uses Amazon Bedrock's AI/ML models to understand contract context. They recognize when amendments override original terms, identify compensation plans that apply to multiple providers, and distinguish between base salary, bonuses, etc.
Databricks orchestrates the entire workflow, managing batch processing of thousands of contracts in parallel. MLflow tracks model versions and performance, enabling continuous improvement.
The output is structured, analytics-ready data that consultants use immediately. The data enables quick insights about regional benchmarks and specialty trends. Databricks dashboards can be implemented to provide even more intuitive access to data.
Key Benefits Achieved
Contract analysis that previously took weeks now completes in hours. Manual document review was eliminated, enabling consultants to focus on strategic advisory work instead of data entry.
Critical business questions now receive near-immediate answers. Decisions that once required weeks of analysis now happen in real time, enabling faster and more confident strategic planning for healthcare systems nationwide.
