PurpleLab®, a healthcare analytics company specializing in real-world data, announced it has acquired KAID Health, an AI-powered clinical analytics and care management company. The combination brings together PurpleLab’s large-scale structured claims data with KAID Health’s artificial intelligence and natural language processing technology, creating a more complete view of patient journeys across structured and unstructured data sources.

KAID Health’s Whole Chart Analysis™ platform has a proven ability to extract insights from both structured EMR data and medical notes. By using natural language processing to analyze notes, conditions, medications, and lab results, KAID allows for 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 no-code system delivers actionable insights and includes standardized medical terminology and patient concept groups that align with KAID’s coding and care management workflows.

“This acquisition positions PurpleLab to move beyond traditional analytics and become an AI-first healthcare intelligence company,” said Mark Brosso, CEO of PurpleLab. “By combining our data with KAID’s AI, we can unlock insights from the unstructured clinical narrative and deliver measurable value and proven financial impact to our partners and other healthcare organizations.”

Together, the platforms will allow clients to:

• Improve financial performance by identifying and addressing documentation gaps before and post claims submission, while making workflows better for clinicians.
• 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 examples including clients generating millions in additional revenue.

“As our customers and research partners have shown, better data leads to better decisions at the patient, provider, and population level,” said Kevin Agatstein, CEO and founder of KAID Health. “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.

About PurpleLab

PurpleLab® is a healthcare analytics company dedicated to driving value-driven innovation across the healthcare continuum. Its no-code analytics platform, HealthNexus™, empowers life sciences, payers, providers, advertisers, and other healthcare stakeholders to develop real-world evidence (RWE), demonstrating the effectiveness of novel therapeutics or clinical strategies in saving lives and reducing costs.

As one of the few CMS Qualified Entities, PurpleLab has access to Medicare claims data under Parts A, B, and D, enabling the evaluation of provider performance. The company is also a member of the Network Advertising Initiative (NAI), adhering to the highest standards for responsible data collection and usage in digital advertising. Additionally, PurpleLab holds HiTRUST certification, meeting the rigorous security and privacy requirements essential in healthcare data management.

For more information, visit purplelab.com.

About KAID Health

KAID Health makes care delivery more efficient, effective and profitable for providers, their payers and their accountable care organization partners. Its Whole Chart Analysis™ platform extracts all relevant data from EMRs, including structured data and texts. The platform identifies the patient care interventions needed for providers to achieve their clinical, financial or operational objectives. In parallel, KAID Health gives payers a comprehensive overview of members’ health situations by combining claims and EMR data.

Leading providers, health systems, medical centers and payers have used KAID Health’s technology to automate workflows, including coding, quality measurement, prior authorization support and preoperative assessment.

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