IMAT Glossary
AI Ready Data
Data that has been cleaned, normalized, and structured in a way that it can be effectively used by artificial intelligence (AI) and machine learning models to generate insights and support decision-making in healthcare.
Automated Health Data Normalization and Cleaning
The use of automated tools and governance frameworks to ensure data is consistent, accurate, and complete across all sources. This reduces manual effort and prepares data for reporting and AI.
C3 Framework
A framework that ensures all clinical data is Clean (C1), Current (C2), and Complete (C3).
Centralized Data Repository (CDR)
A central database that stores clinical data from various sources, providing a unified view of patient information. IMAT Intelligence is an evolution of this concept.
Chart Chasing
A manual, resource-intensive process of retrieving medical charts from provider offices to close care gaps and meet reporting requirements. Modern data strategies reduce reliance on chart chasing.
Clinical Data Integration (CDI)
The process of combining clinical data from different sources to create a comprehensive and unified view of a patient’s health information.
CMS Innovation Center
A division of the Centers for Medicare & Medicaid Services (CMS) that is responsible for testing “innovative payment and service delivery models to reduce program expenditures … while preserving or enhancing the quality of care” for those who receive Medicare, Medicaid, or Children’s Health Insurance Program (CHIP) benefits.
CMS Interoperability
A federal initiative requiring healthcare organizations to improve the ability to securely share and access health information across systems, empowering patients and driving better care coordination.
Consolidated Clinical Document Architecture (C-CDA)
An HL7 standard that provides templates for the exchange of clinical documents, such as discharge summaries and progress notes.
Continuity of Care Document (CCD)
A type of clinical summary document based on HL7 CDA standards that enables the sharing of patient care information between providers.
Data Aggregator Validation (DAV)
A certification from the National Committee for Quality Assurance (NCQA) that validates the quality and integrity of clinical data streams. IMAT Solutions has achieved this designation.
Data-as-a-Service (DaaS)
A service that provides users with on-demand access to data, such as clinical data for payers, without the need for an on-premise infrastructure.
DIGITAL QUALITY MEASURES (dQMs)
Quality measures that are expressed and reported in a standardized digital format.
Fast Healthcare Interoperability Resources (FHIR)
A set of standards for exchanging healthcare information electronically. The IMAT Flexible Payer Solution enables FHIR capabilities.
Health Data Intelligence Platform
A platform that provides advanced analytics and insights from healthcare data to support decision-making, care coordination, and population health management. IMAT Intelligence is their SaaS-based platform.
Health Data Management Platforms
Software solutions designed to handle large volumes of data in the healthcare industry, enabling better data governance, quality, and analytics.
Healthcare Effectiveness Data and Information Set (HEDIS)
A widely used set of performance measures developed by NCQA that evaluates the quality of care and services provided by health plans. HEDIS reporting requires accurate, validated data.
Hierarchical Condition Categories (HCC)
A CMS risk adjustment model that groups diagnoses into categories reflecting disease severity. Accurate, validated data is essential for HCC coding and reimbursement.
Health Level Seven International (HL7)
A global standards organization that develops frameworks and standards, including HL7 v2, CDA, and FHIR, to support interoperability in healthcare.
HITRUST
A widely adopted security and compliance framework that provides organizations with a certifiable standard for managing risk and protecting sensitive health data.
Identity Resolution and Health Data
The process of matching patient records across disparate systems to ensure that all information is linked to the correct individual. Critical for complete and AI-ready datasets.
IMAT Flexible Payer Solution
A comprehensive offering of technology and services that helps health payers gain optimal results from their data and meet new interoperability standards.
IMAT Intelligence
A SaaS-based Health Data Intelligence Platform™ that offers an affordable, scalable, and easy-to-implement solution for healthcare organizations to leverage their data.
IMAT Master Patient Index (MPI)
A database that maintains a unique identifier for each patient, linking their records from different healthcare systems. It is based on the FHIR schema.
Interoperability
The ability of different information systems, devices, and applications to access, exchange, integrate, and cooperatively use data in a coordinated manner.
Multi Source Data Integration
The process of aggregating data from multiple systems, including EHRs, claims, labs, imaging, and SDOH sources, into a unified, consistent dataset.
Natural Language Processing (NLP)
A technology that enables computers to understand, interpret, and process human language from text-based information, such as transcriptions and clinical notes.
NCQA DAV Certified Health Data
Health data certified by NCQA’s Data Aggregator Validation (DAV) program, which confirms that the data aggregation process meets NCQA standards for quality and accuracy.
Population Health Management
The process of improving clinical health outcomes of a defined group of individuals through improved care coordination and patient engagement.
Real Time Health Data Orchestration
The ability to deliver insights, alerts, and updates directly into clinical workflows in near real time. Orchestration ensures data is not just stored but actively drives decision-making.
SaaS (Software-as-a-Service)
A software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted.
STAR Ratings
A rating system from CMS that evaluates Medicare Advantage and Part D plans based on quality and performance. STAR Ratings are heavily influenced by accurate quality reporting and directly affect reimbursement levels.
TEFCA (Trusted Exchange Framework and Common Agreement)
A health information exchange framework that aims to create a nationwide, secure, and interoperable network for sharing clinical data.
Validated Health Data
Health data that has been cleaned, normalized, and confirmed for accuracy, completeness, and consistency. Validated data is essential for compliance, reporting, and AI readiness.
Virtual Health Record (VHR)
A comprehensive view of a patient’s health information, compiled from various sources and accessible in one place.