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PurpleLab Acquires KAID Health to Create AI-Powered Healthcare Intelligence Platform

by Jasmine Pennic 09/03/2025 Leave a Comment

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What You Should Know: 

– PurpleLab, a healthcare analytics company, has acquired KAID Health, an AI-powered clinical analytics and care management company. Financial details of the acquisition were not disclosed. 

– The acquisition combines PurpleLab’s large-scale structured claims data with KAID Health’s artificial intelligence (AI) and natural language processing (NLP) technology. This creates a more complete view of patient journeys across both structured and unstructured data sources.

A Unified Platform for Actionable Insights

KAID Health’s Whole Chart Analysis™ platform has a proven ability to extract insights from both structured EMR data and medical notes. It uses natural language processing to analyze notes, conditions, medications, and lab results, which helps with coding accuracy, quality reporting, and care management. PurpleLab’s HealthNexus® platform provides real-time analytics across billions of HIPAA-compliant, clinically harmonized data points.

The combined platforms will allow clients to:

  • Improve financial performance by identifying and addressing documentation gaps.
  • Accelerate clinical research and drug development through more precise patient cohort identification.
  • Strengthen value-based care initiatives with better risk stratification and care gap closure.
  • Reduce administrative work by automating coding and chart review.
  • Deliver rapid returns on investment, with some clients generating millions in additional revenue.

Kevin Agatstein, CEO and founder of KAID Health, noted that “better data leads to better decisions at the patient, provider, and population level”. He added that this partnership expands how structured and unstructured data can be applied to care quality, coding, and clinical research. The combined offering is now available to payers, accountable care organizations (ACOs), provider groups, and life sciences companies.

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Tagged With: Artificial Intelligence, Healthcare Mergers & Acquisitions

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