Before healthcare organizations can unlock the full potential of AI, predictive analytics, quality measures, and population health management, they must ensure their data foundation is solid. The IMAT Health Data Quality Assessment gives you a clear, measurable baseline of whether your data is Clean, Complete, and Current, the essential characteristics of AI ready data.
AI cannot fix bad data. It amplifies it. Even the most advanced analytics models cannot deliver trustworthy insights when they are built on incomplete, inaccurate, or inconsistent data. The IMAT Health Data Quality Assessment is a one-time engagement that reveals the true state of your data environment and identifies the gaps that limit your clinical, operational, and financial performance.
In healthcare, the consequences of poor data quality are real. Fragmented data slows audits, weakens risk scoring, creates blind spots in quality measures, and derails AI initiatives. Leaders often discover the problem only after something important breaks. This assessment brings those issues to the surface early so you can move forward with confidence and plan investments with clarity.
Powered by the IMAT Intelligence platform, the assessment evaluates the strength of your data across five critical dimensions:
Data Integration: How well data is being ingested and harmonized from all sources including EHRs, labs, and claims.
Data Normalization: Where variations, duplications, and inconsistencies reduce interoperability.
Data Completeness: Which missing, outdated, or fragmented data points distort analytics and AI outcomes.
Data Accuracy: Whether your clinical and administrative records reflect the truth needed for decision making.
AI Readiness: Whether your data foundation can support advanced analytics, machine learning, and value-based care initiatives.
This is not a generic data audit. The assessment uses the same patented dual repository technology and real time analytics that power the IMAT Intelligence platform. The result is a comprehensive and actionable assessment that reveals the true condition of your data and maps a clear path to improvement.
You make a single, upfront investment and gain clear, objective insight into the health of your data environment, without any long-term commitments.
Every Health Data Quality Assessment delivers a clear, actionable view of your data environment, including:
A documented baseline of your current data health.
Key findings, risk areas, and their potential impact.
Targeted opportunities for improvement across systems and workflows.
Practical recommendations to achieve AI-ready data.
Together, these deliverables form a roadmap you can use to strengthen analytics, improve quality reporting, and increase reliability in value-based care performance.
Ready to strengthen your data foundation? Discover whether your data is ready for AI powered care management, accurate reporting, and smarter decision making today.