Better Data, Faster Decisions, Stronger Throughput

Hospitals leaders are expected to improve length of stay, throughput, and overall performance, often without a clear, consistent view of data driving those outcomes. When reporting is delayed or misaligned, it becomes difficult to identify where to act. With the right visibility and alignment, these gaps can be addressed.

That challenge became clear for Dr. Jon Winthers, Director of HM Data & Analytics at ApolloMD. In his role, he works with hospital leaders, case management teams, and operational stakeholders to improve performance through data-driven decision-making.

When one hospital set a goal to reduce “excess days”, a metric tied to patients staying beyond their expected length of stay. The team quickly encountered a familiar challenge: they lacked a consistent way to measure progress in real time. The issue was not the goal itself; but rather deciding how to measure progress toward achieving the goal.

The official data came months later, but there was not a clear way to track progress in real time. Initially, teams pulled numbers from different systems, reports did not align, and conversations kept circling back to the same question: How do we best measure “excess days”?

This is a common challenge across hospitals. Leaders rely on core metrics like length of stay, readmissions, and throughput to guide decisions. But when those numbers are not available in real time, or not consistent, alignment breaks down and progress stalls.

Turning Delayed Data into Actionable Insight

Dr. Winthers and his team focused on a practical question: If the official data takes time to come in, what can we track now?

They worked with case management and data teams to:

• Understand how the metric was calculated
• Build a working version of the metric using available data and agreed exclusion criteria to align with the intended definition
• Create a consistent, shared definition across teams

The turning point came when they shifted from a hospital-wide view to a unit level analysis.

“We couldn’t do anything with the data except say it correlates a little bit,” he said. “Once we broke it down by floor, we could actually see what was happening.”

The shift to reviewing unit level data made the goal actionable.

Some units were moving patients efficiently, while others moved patients less efficiently, accounting for most of the delays.  In some cases, the issues were not based on clinical care and needs, but instead were related to patient assignments, workflows, or documentation.

With specific unit level clarity, the team could act by:

• Adjusting workflows at the unit level
• Strengthening collaboration with case management
• Addressing delays tied to process, not just care decisions

What Changes When Teams Can See Performance in Real Time

Within four months, “excess days” dropped beyond the initial goal.

“We needed about a 2% reduction,” Dr. Winthers said. “We were closer to 7%.”

For hospital leaders, that level of improvement can translate into meaningful capacity gains. Reducing excess days frees up beds, improves patient flow, and allows hospitals to care for more patients without adding resources.

Just as important, the way teams worked changed. They aligned around the data, adjusted to it daily, and acted at the unit level.

A Practical Framework for Hospital Leaders

This experience reflects a broader pattern seen across hospital medicine programs.  Improving performance starts with better alignment around the data that matters.

Hospital leaders can apply a similar approach:

• Define the metric clearly – Ensure teams understand exactly what is being measured and how
• Create a real-time proxy – Use available data to track performance while official reports lag
• Break it down to the unit level – System-wide averages rarely reveal where change is needed
• Align ownership across teams – Hospitalists, case management, and operations must work from the same numbers

Where ApolloMD Comes In

This challenge is not unique. Many hospital medicine programs struggle with inconsistent reporting and limited visibility into performance.

ApolloMD addresses this by embedding physician leadership directly into hospital operations. These leaders work across clinical and operational teams to:

• Establish clear, shared definitions for key performance metrics
• Build reporting structures that support real-time decision-making
• Align hospital medicine, case management, and leadership around common goals
• Translate data into operational changes that improve throughput and capacity
• This approach connects clinical insight with operational execution, allowing hospitals to move from retrospective reporting to real-time performance management.

Turn Insight into Action Across Your Hospital

See how ApolloMD helps hospital leaders improve visibility, align teams, and drive measurable operational improvements.