[vc_row][vc_column][vc_column_text]<\/p>\n
[\/vc_column_text][vc_separator color=”#0198cf” thickness=”4″ up=”17″ down=”35″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A framework that ensures all clinical data is Clean (C1), Current (C2), and Complete (C3).[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
The process of combining clinical data from different sources to create a comprehensive and unified view of a patient’s health information.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
An HL7 standard that provides templates for the exchange of clinical documents, such as discharge summaries and progress notes.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A type of clinical summary document based on HL7 CDA standards that enables the sharing of patient care information between providers.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
Quality measures that are expressed and reported in a standardized digital format.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A set of standards for exchanging healthcare information electronically. The IMAT Flexible Payer Solution enables FHIR capabilities.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
Software solutions designed to handle large volumes of data in the healthcare industry, enabling better data governance, quality, and analytics.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A CMS risk adjustment model that groups diagnoses into categories reflecting disease severity. Accurate, validated data is essential for HCC coding and reimbursement.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A global standards organization that develops frameworks and standards, including HL7 v2, CDA, and FHIR, to support interoperability in healthcare.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A widely adopted security and compliance framework that provides organizations with a certifiable standard for managing risk and protecting sensitive health data.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A comprehensive offering of technology and services that helps health payers gain optimal results from their data and meet new interoperability standards.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A SaaS-based Health Data Intelligence Platform\u2122 that offers an affordable, scalable, and easy-to-implement solution for healthcare organizations to leverage their data.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A database that maintains a unique identifier for each patient, linking their records from different healthcare systems. It is based on the FHIR schema.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
The ability of different information systems, devices, and applications to access, exchange, integrate, and cooperatively use data in a coordinated manner.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
The process of aggregating data from multiple systems, including EHRs, claims, labs, imaging, and SDOH sources, into a unified, consistent dataset.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A technology that enables computers to understand, interpret, and process human language from text-based information, such as transcriptions and clinical notes.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
Health data certified by NCQA\u2019s Data Aggregator Validation (DAV) program, which confirms that the data aggregation process meets NCQA standards for quality and accuracy.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
The process of improving clinical health outcomes of a defined group of individuals through improved care coordination and patient engagement.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A health information exchange framework that aims to create a nationwide, secure, and interoperable network for sharing clinical data.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
Health data that has been cleaned, normalized, and confirmed for accuracy, completeness, and consistency. Validated data is essential for compliance, reporting, and AI readiness.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text]<\/p>\n
A comprehensive view of a patient’s health information, compiled from various sources and accessible in one place.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”100″][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"
[vc_row][vc_column][vc_column_text] Resources Glossary: Key Health Data and AI Readiness Terms [\/vc_column_text][vc_separator color=”#0198cf” thickness=”4″ up=”17″ down=”35″][vc_column_text] 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.[\/vc_column_text][vc_separator color=”#dadada” thickness=”2″ up=”25″ down=”25″][vc_column_text] Automated Health Data Normalization and Cleaning The use of automated tools and governance frameworks to ensure data is consistent, accurate,…<\/p>\n","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"_links":{"self":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/78516"}],"collection":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=78516"}],"version-history":[{"count":9,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/78516\/revisions"}],"predecessor-version":[{"id":78590,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/pages\/78516\/revisions\/78590"}],"wp:attachment":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=78516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}