Why Discharge Data Became a Clinical Priority for Us

By Dr. Al Villarin, Nuvance Health 

Several years ago, Nuvance Health, now part of Northwell Health, took a closer look at how discharge information was being shared across our hospitals and with community providers. The information was there, but it wasn’t always transmitted in a structured, consistent way that others could use efficiently. 

When a patient left the hospital, the next provider often had to reconstruct what had happened. Offices made phone calls. Staff requested faxes. In some cases, patients arrived with paperwork or even CDs containing their records. It worked, but it created friction. 

Discharge data is not simply documentation. It’s the foundation for what happens next.

Why Discharge Information Matters 

Most healthcare is longitudinal. Hospitalizations connect to follow-up visits, medication adjustments, skilled nursing care, and specialist referrals. The discharge diagnosis and disposition represent the most current clinical truth about that patient. 

If that information is incomplete or difficult to access, the transition of care is incomplete. 

One example is discharge location. A primary care office might see that a patient was discharged, but not where they went. Staff then spend time tracking down details instead of focusing on care. These small inefficiencies add up. 

Where We Started 

When we evaluated our baseline discharge data, we identified clear opportunities for improvement. 

Structured diagnosis codes and descriptions were not consistently transmitted, and discharge location data was not reliably available in a structured format. 

Working with Connie and our internal analytics teams, we focused on specific data elements that mattered most for transitions. We built standardized templates, reviewed workflows, and worked closely with our data and IT teams to ensure the information could move reliably across systems. 

It was not a single technical adjustment. It was a coordinated effort, requiring close collaboration. 

Measurable Improvement 

The results were significant. Across three hospitals: 

Diagnosis Codes & Descriptions 

Discharge Location 

Those percentages represent more than compliance; they represent clearer visibility into a patient’s recent care and smoother transitions between organizations. 

W e continue to review diagnosis completeness and make ongoing improvements because there is no endpoint to data quality. 

What Complete Data Changes 

When discharge information is complete and accessible through Connie, clinicians can evaluate a patient’s recent hospitalization quickly and confidently. Instead of recreating history, they can focus on clinical decision-making. 

We are removing barriers to care by removing barriers to access data. 

Over time, this builds something larger – a reliable library of medical history that follows the patient. That consistency reduces burden on staff and builds trust among providers who rely on accurate information. 

Trust also extends to patients. Data must be shared securely, appropriately, and for legitimate clinical purposes. As stewards of that information, we take that responsibility seriously. 

Looking Forward 

As healthcare evolves, we are exploring new ways to use accurate, longitudinal information to support patients directly. None of that is possible without reliable data. 

Accuracy matters. Incomplete information can slow care. Inaccurate information can change decisions. 

If we ensure that critical information follows the patient wherever they go, we make it easier for clinicians to provide safe, efficient care.