From Data to Action: Maximizing Specialty Care Opportunities

Healthcare professionals want access to the meaningful information needed to make decisions and improve patient care. Data is always the key, but data is only as good as the timeliness and insights it provides. In specialty care, the need for better data is now more important than ever. It’s essential when looking to uncover opportunities in improved patient care and total savings.

The Power of Data-Driven Analysis

Historical data serves as the foundation of an objective baseline analysis. With comprehensive insights, organizations can identify their best-performing providers, establish best-in-class care pathways, improve patient access, and ultimately drive down costs while improving the entire patient experience.

These building blocks serve as specific indicators of opportunity. And this clear understanding helps organizations understand where to focus the time and capital needed to drive successful specialty programs. With the right data connected effectively, volume, quality, and cost projections are created, and key milestones are established.

Data-Driven Approach to an Improved Patient Journey

Consider this patient scenario. The patient incurred his knee injury playing pickleball. Now starts the often, anxiety-ridden path of understanding the injury and the needed care. A primary care visit, a visit to a chiropractor or a physical therapist, and maybe even an MRI. Several weeks later the patient is still in pain and still doesn’t have an accurate diagnosis of the knee injury. Finally able to see an orthopedic surgeon, they find out they’ve torn their meniscus and need surgery. Several weeks later, the patient is finally able to have surgery and move onto the road to recovery.

Now consider the alternative. An early, accurate diagnosis, a quick appointment with the top-rated orthopedic knee surgeon in the area, a physical therapy program that aligns with the patient’s athletic activities, and cost transparency throughout the entire patient journey.

This is no longer an idyllic scenario. It’s a realistic example of today’s early specialty programs. Patient wait times decrease by 30%, costs go down, and patient satisfaction levels surge. At the center of this positive change are data and the actionable insights developed by combining claims, eligibility, and quality data into a single location that empowers providers and payers to create, implement, and scale new models.

The results were significant. The time for specialty transformation is now.

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