This week, our In Focus section highlights insights from a new Health Management Associates (HMA) issue brief, Digital Quality Transformation. The brief, released in January 2025, explores the transition from traditional manual data extraction for use in quality measurement to fully automated digital quality measurement (dQM). It examines the challenges, benefits, and policy changes that are driving this transformation with a focus on how payers and providers can leverage digital tools and open data standards to improve efficiency, reduce costs, and enhance patient care and value-based payment models.
Following is a summary of key points from the brief about the evolution of traditional quality reporting in healthcare, which has depended on structured claims, administrative data, and manual chart abstraction. This process tends to be expensive, inefficient, and unable to capture data from a population perspective. We highlight the challenges and strategic steps that organizations should be taking now to prepare for the federally required dQM transition.
Current State
Traditional manual quality measurement methods are costly and inefficient. Generally, providers are expected to submit a sample of medical records (usually about 400 charts per measure). Once received, trained staff extract key data fields from those charts and enter them into another database, where the data are then used to augment claims data. This process results in significant gaps in and delays in information regarding quality of care, is prone to manual entry errors, and represents only a small portion of the patient population. Accreditation bodies like the National Committee for Quality Assurance (NCQA) are moving away from these outdated methods, signaling a shift toward more comprehensive and automated collection of clinical data. Facilitating this movement is the increasing availability of digital tools, APIs, and interoperability standards designed to streamline data exchange.
Federal Policy Landscape
The 21st Century Cures Act, the Office of the National Coordinator for Health IT (ONC) Cures Act Final Rule, and the Centers for Medicare & Medicaid Services (CMS) Interoperability and Patient Access Rule collectively are contributing to improve the ability of providers, payers, and applications to access health information using HL7 FHIR APIs. Although it is unclear whether the Trump Administration will revise aspects of certain existing regulatory policies, the commitment to interoperable, standardized, reusable data has been a bipartisan issue and was supported by the previous Trump Administration. This transition to digital health measures could even accelerate to meet changing expectations for efficiency and improved quality.
Key federal and state efforts include:
Roadmap for Digital Quality Measurement
The CMS Digital Quality Measurement Strategic Roadmap outlines necessary actions for a transition to fully digital measures by 2030. Organizations like the NCQA already are converting healthcare quality measures (e.g., HEDIS®) into digital formats using non-claims-based data sources in preparation for a full transition to digital measures in 2030. Key stakeholders, including the Digital Quality Implementation Community (DQIC) led by Leavitt Partners, an HMA company, are driving industry alignment with these new federal mandates. Organizations that proactively invest in digital quality measurement will be well-positioned for future compliance and improved healthcare outcomes.
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Digital Health Advances in the States
States are also starting to plan for the implementation of these digital requirements. The One Utah Health Collaborative Digital Health Interoperability Pilot, led in partnership with Gov. Spencer Cox and Leavitt Partners is one example of state-level leadership to support and maximize the use of digital health measures. The pilot is designed to enable providers, payers, and individuals to aggregate and share clinical and claims information from anywhere in Utah’s healthcare ecosystem. The statewide Fast Healthcare Interoperability Resources (FHIR)-based ecosystem leverages modern application programming interface (API) standards as required at the federal level. This pilot will aid Utah in its fully digital quality measurement transition by ensuring that health data are standardized and easily accessible, which is crucial for accurate and efficient quality measurement.
Challenges and Opportunities in Digital Quality Transformation
As the industry moves toward full adoption of dQM by 2030, healthcare organizations should be focusing on how to strategically leverage this transformation. Though the transition to digital quality measurement presents significant opportunities, key challenges include:
- Workforce adaptation: Healthcare professionals accustomed to traditional reporting methods may need significant training to effectively use real-time data for decision making.
- Shifts in payer-provider dynamics: With greater data transparency, reimbursement models may evolve rapidly, demanding more agile contract negotiations.
- Data governance: Ensuring that the influx of newly accessible clinical data are properly validated and interpreted.
- Vendor management: Organizations will need to rethink their relationship with vendors, specifically as plans reduce their reliance on manual processes.
- New vendor requirements may pivot toward data validation and analytic tools to ensure compliance with NCQA’s standards.
- Compliance with FHIR-based data exchange and CMS’s Interoperability & Patient Access Rule, which mandates standardized data sharing across different systems.
- Data standardization: Different healthcare systems will need to use common data formats and terminologies to ensure interoperability.
What’s Next
As federal policies and regulations accelerate the transition to dQM, healthcare stakeholders must prepare by investing in interoperable technologies and adapting their quality reporting business processes accordingly. They should track developments and new opportunities at the federal and state levels and direct organizational attention and resources to the multiyear transition through the following approaches:
- Evaluating of the current landscape, envisioning future pathways for dQM, and establishing achievable objectives for their organization
- Developing strategic plans with the achievable objectives and enumerating tactical and implementation plans that address identified risks
- Focusing on implementation, identifying and dashboarding your key performance indicators and metrics, making adaptations based on your evaluation
Connect With Us
Providers, payers, patients, and states all have a vested interest in ensuring fully digital quality measurement, as it will be essential to staying ahead in this rapidly evolving landscape. For details about this analysis, its implications for states and other organizations, and additional information, contact our experts below.