Enhancing Patient Identification for Anhedonia with Data-Driven Insights
Discover how Inspire linked patient voice data with medical claims to improve the identification and characterization of anhedonia patients.
Anhedonia, a challenging subtype of Major Depressive Disorder (MDD), is often underdiagnosed due to the underutilization of ICD-10 codes. Inspire’s case study, Identifying Patients with Anhedonia Using Community Data, highlights how patient voice data, cluster analysis, and medical claims linkage enabled better patient identification, treatment insights, and healthcare resource utilization analysis.
In this case study, you’ll learn:
- How Inspire’s patient voice integration improved anhedonia identification.
- Why cluster and topic strength analysis validated patient identification with MDD and anhedonia.
- How linking medical claims data with patient conversations provided actionable healthcare insights.
- The impact of real-world data in supplementing ICD-10 coding gaps for better patient characterization.
See how Inspire’s data-driven healthcare insights can enhance patient identification and support better treatment strategies for anhedonia.