Data Quality 101: Fundamentals of Quality Measurement Data
Self-Paced
Expires: July 14, 2028
About this Course
Data Quality 101: Fundamentals of Quality Measurement Data
Data Quality 101: Fundamentals of Quality Measurement Data is a self-paced, beginner-friendly e-learning course that introduces the essentials of clinical data quality in the context of HEDIS and FHIR enabled digital quality measurement. Learners will explore how data moves from source systems into quality measurement workflows, why issues such as missing values, invalid codes, inconsistent formats and stale data can create risk and how organizations can begin building more reliable, repeatable approaches to data quality assessment.
Reliable clinical data is the foundation of quality measurement, HEDIS reporting and digital transformation. This introductory course explains why data quality matters, how data quality issues can impact operations and how strong data quality practices support more confident HEDIS reporting, audit readiness and decision-making.
Designed for busy professionals, Data Quality 101 introduces the core concepts, terminology and practical examples learners need to participate in data quality conversations and support their organization’s move toward FHIR-enabled digital quality measurement. In just 45 minutes, learners will gain a practical understanding of data quality in the healthcare landscape, core data quality dimensions, and the role of data quality rules in identifying issues before they affect reporting, operations, or care outcomes.
The course connects foundational concepts to real-world use cases for health plans, HIEs, data aggregators, health systems and vendors. Learners will leave with a stronger understanding of how high-quality clinical data supports HEDIS reporting, audit readiness, interoperability, continuous improvement and more confident decision-making across the digital quality ecosystem.
What You Will Learn
Define digital quality measurement and describe the healthcare data landscape and supporting HEDIS reporting. Describe the core dimensions of data quality (accuracy, completeness, conformance, plausibility, timeliness and provenance) and recognize common issues.
- Describe how data quality issues can impact HEDIS reporting, audit outcomes and downstream decisions.
- Identify common clinical data sources and understand the challenges introduced by aggregation, mapping and standardization.
- Understand the purpose of data quality specifications/rules and describe how rules can be embedded into workflows for continuous monitoring.
HEDIS® is a registered trademark of the National Committee for Quality Assurance (NCQA).
Who Should Attend
This course is designed for professionals who are new to NCQA Data Quality Solutions, digital quality measurement or clinical data quality concepts, as well as experienced health care quality professionals who want a shared foundation before moving into more advanced implementation topics.
- Health plan staff involved in HEDIS reporting, quality measurement, audit preparation, data operations or digital quality initiatives.
- Health Information Exchanges, data aggregators and technology vendors that support clinical data exchange, aggregation, mapping, validation or reporting.
- Health systems and clinical data partners that want to understand how data quality affects reporting, care gap identification and downstream quality improvement efforts.
- Business, product, operations, IT, analytics and quality improvement teams that need a common language for discussing clinical data quality and fit-for-use data.
- Leaders and decision makers who want a concise overview of why data quality matters and how it supports organizational readiness for digital quality transformation.
Faculty
Allison Lance
Allison Lance, Senior Program Manager in Customer Education brings over 20 years of experience across the health care ecosystem, from payers to health IT to care delivery. Her expertise ranges from market strategy and population health to quality improvement and interoperability. Prior to her role at NCQA, she worked in market intelligence at one of the world’s leading Electronic Health Record (EHR) platforms and has experience from several health plans. During her time at NCQA, she built the Digital Hub and Community, which is a dynamic coalition of health quality measurement professionals, as well as leads development of the organization’s strategic plan for digital advancement. These resources help provide visibility to the roadmap for digitalizing health quality measures to be in alignment with CMS and Interoperability Standards.
Allison holds a master’s in health care administration (MHA) from the University of Maryland and a bachelor’s in human resources management from Missouri State University.
Taylor Musser
Ben Hanley
Wendy Talbort
Continuing Education
This is a non AMA PRA Category 1 CreditTM, ANA CNE, ACPE activity.
Certificate of Participation awarded
Disclosure of Relevant Financial Relationships
The National Committee for Quality Assurance (NCQA) endorses the Standards of the Accreditation Council for Continuing Medical Education which specify that sponsors of continuing medical education activities and presenters at and planners for these activities disclose any relevant financial relationships either party might have with commercial companies whose products or services are discussed in educational presentations.
For sponsors, relevant financial relationships include large research grants, institutional agreements for joint initiatives, substantial gifts, or other relationships that benefit the institution. For presenters or planning committee members, relevant financial relationships include the receipt of research grants from a commercial company, consultancies, honoraria, travel, or other benefits, or having a self-managed equity interest in a company; or having an immediate family member or partner with such a relationship.
Disclosure of a relationship is not intended to suggest or condone bias in any presentation but is made to provide participants with information that might be of potential importance to their evaluation of a presentation.
Relevant financial relationships exist with the following companies/organizations:
Faculty:
Ben Hanley:
Allison Lance: None
Taylor Musser:
Wendy Talbot:
Additional Planning Committee Members:
Allison Lance: None
Event Type
- Self Paced
Policies and Discounts
Includes the printable registration form, substitutions, transfers/credits and cancellation policies as well as other education policies and discount information.
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