Chronic Conditions | Derived Healthcare Claims Data

The Chronic Conditions Asset is a derived data product from Kythera Labs, which uses remastered healthcare claims data, data science, and statistical modeling to create individual, longitudinal records of patients diagnosed or treated for a chronic condition. These records include patients diagnosed or treated for any chronic condition defined by the Healthcare Cost and Utilization Project (HCUP) and mapped to one of 18 relevant body systems, and details like the diagnosing provider(s) and treating provider(s) for each condition. Using statistical models, Chronic Conditions identifies procedures, revenue codes, diagnostic and imaging procedures, and drugs relevant to treating the chronic conditions that each patient is experiencing, in addition to treatments explicitly listed on claims.

**Use Cases**
- The Chronic Conditions Asset reduces raw claims data missingness and errors so Life Sciences and Healthcare organizations can uncover strategic insights faster by answering questions like:
- What chronic conditions diagnoses does a patient carry?
- What are the affected body systems?
- How many patients in a given Core Based Statistical Area (CBSA) have chronic conditions? How does that compare to other CBSAs?
- Who are the top prescribers for a drug or therapy?
- What is the population size in any market with a specific diagnosis?
- Where are patients receiving care?
- Which are the patients with specific comorbidities?
- How can I see a patient's journey for a particular drug or condition?

**Data Sources**
- Kythera Labs curated, unified, and remastered claims source data from disparate vendor feeds that are de-identified, conformed, unified, enriched, and regularly updated.
- Kythera Labs curated and maintained data directories.
- Publicly available data directories.