With Wayfinder, you can analyze higher-quality claims data to identify rare patients, target providers, build comprehensive patient journeys, and identify market trends, all with granular detail to inform strategies that drive differentiation and growth.
Wayfinder is your big data infrastructure, so you can stop preparing and managing your data and start analyzing.
Through Wayfinder, Kythera curates and delivers over 40 billion rows of de-identified claims data as remastered sources. Our subscription model supplies weekly updates to ever-expanding but not duplicative datasets that empower users to analyze a more holistic view of their market. Wayfinder combines data from disparate vendor feeds into a unified format, creating a foundational data asset for faster, simpler, and more complete analytics. This remastered source data is de-identified, conformed, unified, enriched, continuously updated, and delivered through a flexible, flat Delta data lake.
By processing the data on Wayfinder before delivery, we ensure that the data is ready for analysis — saving you time and removing processing compute costs from your budget. Processing includes:
Wayfinder connects and manages reference codesets that support the accuracy of our remastered data and your analysis. References codesets include:
Using one or more of our directories and reference sources, Wayfinder uses NPI, service data, and procedure groups to accurately determine the most likely facility of care and resolve errors in rendering and referring providers. Through this data uplift, Wayfinder improves the data quality and reduces the time you spend preparing data for analysis so you can have more confidence in the insights and conclusions reached.
Building upon the remastered source data, Kythera curates Patient Event Assets; these derived data products deliver patient-level transaction compilations built for targeted Healthcare and Life Sciences use cases and applications. Analyses using these products are less affected by missingness and errors in raw claims data and deliver more accurate insights faster.
The Surgical Events asset delivers visibility into surgical activity nationwide and by market, helping answer questions like:
Using details from ancillary claims, proprietary data science, and imputation logic, Surgical Events more accurately reflects surgical encounter volume and delivers uplift in encounter volume compared to the analysis of raw claims data by:
The Hospital Events asset delivers details about events occurring in hospitals, helping answer questions like:
Hospital Events aggregates information associated with claims that occurred in a hospital, combining records from remastered source data assets and Surgical Events to produce a rich data product with more complete insight, including details on:
The Chronic Conditions asset houses longitudinal data for each patient diagnosed or treated for one or more chronic conditions helping answer questions like:
Chronic Conditions includes patients diagnosed or treated for any chronic condition defined by 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.
The Diagnostic Events asset details diagnostic procedures and imaging scans by site of service (e.g., hospital or ambulatory) and modality, helping to answer questions like:
Utilizing claims, Diagnostic Events tracks the diagnostic and imaging procedures a patient received, the ordering provider information, and the professional and technical portions of the claim.
Proprietary technology combines provider taxonomies and facility capability determination logic with claims data to identify and correct occurrences of missing claims data and missing information - even when entire claims are unavailable. Diagnostic Events captures a more accurate and complete view of diagnostic activity by incorporating several different types of claims.
The Physical Therapy Events asset delivers visibility into physical therapy events, encounters, and episodes, helping to answer questions like:
Physical Therapy Events focuses on the service rendered, site of care, and referring provider and contains logic to standardize and clean payer information, reducing noise and improving payer analytics use cases.
The Oncology Case Asset is an extension of the Chronic Conditions Asset focused on delivering detailed diagnostic and treatment information about cancer patients across the country, including surgical, radiation, and medical oncology, helping to answer questions like:
Oncology Cases identifies oncology-related ICD-10 diagnoses (as defined by the CDC), then labels cases by cancer description (e.g., lung, brain or prostate) and cancer behavior (e.g., benign, malignant, primary and secondary metastasis, or in situ). Identified cases include details about:
Kythera Labs launches Patient Event Assets on the Databricks Marketplace.
Clinical Trial Enrollment, Site Selection, and Physician Engagement are more targeted when using Claims Data and Referral Analytics