Healthcare organizations across the United States face the challenge of providing consistent, efficient care, especially for patients outside their clinics. Shortages in the workforce hinder their capacity to ensure patients complete regular lab work and screenings. Healthcare leaders express concerns that inaccurate data isn’t helping efficiency either, describing scenarios where care coordinators waste time attempting to schedule screenings with patients who’ve recently had them which is frustrating on both sides.
In a recent webinar, Arcadia’s Josh Cabana, Director of Enterprise Partnerships, Candace Perry, Manager of Training and Enablement, and Christine Knox, Solution Engineer, demonstrated how important it is for healthcare organizations to have technology that delivers access to timely, accurate data and uses that data to streamline processes and improve quality performance.
Generating reliable data
Before an organization can use data to improve quality performance, it must establish standard data practices for inputting the data. Clinical data is incredibly useful for quality improvement as it can supplement and provide context for claims data. Combining the two forms of data clearly defines the next actionable step for care management teams. Primarily, the healthcare organization must decide what clinical data to enter in the EMR and the format to enter it in.
“A1C is a great example. I've seen it come through as A1C, hemoglobin A1C, HBA1C, and every other variation under the sun that you can think of that all mean the same thing,” said Cabana. “Make sure to consider those terms are considered and flow into the measures like they should — which is why having a governance process in place is incredibly important.”