Surgical Events | Derived Healthcare Claims Data

Surgical Events is a derived data product from Kythera Labs that compiles patient-level transaction details using Kythera Labs' remastered claims data, data science, statistical modeling, and imputation logic to reduce raw claim data missingness and errors and deliver more accurate insights faster.

**Use Cases**
Surgical Events helps healthcare provider organizations answer strategic questions like: where is the best location for a new ambulatory surgery center (ASC), or which providers should we partner with/recruit based on their surgical or referral volume? Through Surgical Events, users can more accurately:
- Project demand within a specific market for specific surgical events.
- Identify the accurate location of surgical events within a market (e.g., hospital vs. ASC).
- Understand the provider and volume by specialty and service line within a market.
- Identify referral trends by provider and procedure.

**Detailed Insights**
Surgical Events uses ancillary claims, data science, statistical modeling, and imputation logic to more accurately reflect surgical encounter volume and deliver an uplift in encounter volume compared to the analysis of raw claims data by:
- Filling in information gaps and providing comprehensive insights for each surgical encounter, including details about the patient, procedure, surgeon, facility, immediate referral, and root Primary Care Provider.
- Providing discharge details (e.g., home health, skilled nursing facility) and a series of binary flags to indicate major or minor surgery, Emergency Department visit related, inter-hospital transfer, or associated imaging.
- Including enhanced referral logic to ensure each surgical event has a referring provider when applicable, uplifting referral capture at the encounter level.

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