Accurate quality reporting starts long before a performance metric is calculated. It depends on documentation that fully reflects a patient’s condition, coding that captures clinical complexity and severity, as well as teams that work together to identify and resolve gaps.
That challenge led Ballad Health and Ensemble to launch a system-wide initiative focused on strengthening clinical documentation accuracy and reporting reliability across the organization. What began as an assessment of reporting performance evolved into a multidisciplinary effort that combined AI-enabled insights, clinical expertise and structured processes to improve how patient severity and quality outcomes were represented.
Breaking down silos to improve accuracy
Ensemble has partnered with Ballad Health as its end-to-end revenue cycle management provider for more than five years. Through access to clinical and coding data, Ensemble identified opportunities to improve documentation consistency and reporting accuracy. A cross-functional team — including coding, clinical documentation integrity (CDI), Ballad Health Quality leaders and physician advisors — came together to address those challenges.
This team focused on four key priorities:
- Improving documentation accuracy for all relevant clinical conditions
- Capturing diagnoses completely and consistently
- Adding second-level reviews to identify missed opportunities
- Expanding provider education and operational refinement efforts
Rather than treating reporting performance as a retrospective measurement, the organization began using quality metrics as real-time indicators of documentation gaps, process variation and opportunities to strengthen clinical accuracy.
Combining AI-enabled insights with clinical expertise
Technology played an important role in helping teams identify patterns, surface opportunities and prioritize reviews — especially in high-severity cases where clinical precision matters most. But lasting improvement came from pairing those insights with the clinical and coding expertise needed to fully capture the complexity of each patient’s story.
Ensemble introduced comprehensive case reviews, audit trails and scorecards that provided greater visibility into documentation quality. Structured escalation processes helped resolve unanswered provider queries more quickly, reducing delays and supporting more accurate clinical representation.
Physician advisors were also heavily involved throughout the initiative. Their participation helped create clinical consensus around diagnostic specificity and supported more consistent documentation practices across the health system. Regular executive reviews, bi-weekly learning sessions and anonymized case reviews reinforced accountability while creating opportunities for continuous improvement.
Building a sustainable model for quality improvement
One of the most important outcomes was the creation of a repeatable process that could be sustained over time.
The initiative embedded education, audit processes and performance scorecards into day-to-day operations. Teams regularly reviewed cases, examined trends and refined protocols based on what they learned. This continuous learning approach helped prevent documentation drift while strengthening alignment between Quality, coding and clinical teams.
The organization also established clear governance through a multidisciplinary committee that included Ballad Health Quality leaders, physician advisors, coding leadership, Quality analytics and CDI experts. Defined responsibilities and regular review cycles ensured that improvement efforts remained visible and actionable.
Measurable results + broader lessons
These efforts produced measurable gains in reporting accuracy and clinical documentation quality. Key results included:
- A 14.56% improvement in the observed-to-expected quality reporting metric, moving from 1.03 to 0.88
- Final CDI review for 100% of applicable inpatient cases
- A scalable model that is now being evaluated as a case study for broader adoption across other organizations
Perhaps more importantly, the initiative demonstrated that improving quality reporting is far more than a coding exercise. Meaningful results — especially in high-severity cases — require tight collaboration across clinical, Quality and revenue cycle teams, supported by strong governance and technology-enabled insights.
The bottom line
Healthcare organizations often struggle with documentation variability, disconnected teams and limited visibility into reporting gaps. Ballad Health’s experience shows that sustainable improvement becomes possible when AI-enabled analytics are paired with clinical expertise, structured review processes and cross-functional accountability — especially in high-severity cases where precision has the greatest impact.
By bringing together coding specialists, CDI professionals, physician advisors and Quality leaders, Ballad Health and Ensemble created a more accurate picture of patient complexity and strengthened confidence in quality reporting. The result was not only better performance metrics, but also a scalable framework for continuous improvement across the organization.