What is CareQuery?

CareQuery® is an python SDK API interface and underlying data product ecosystem - allowing users to quickly access, orient, request and leverage healthcare data on their own terms.

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Sources

Sourcing from all-payor US healthcare claims, derived datasets and a growing list of additional resources (see Data Lineage). CareQuery empowers users with incredible ease and flexibility in the creation of simple-to-complex data requests, landing directly into their problem solving workspace within seconds.

Capabilities

🚪 Easy Data Access. Install care-query, get tokens, query data. It's as easy as that.

🔢 Straightforward Queries. Once you've found the query you'd like to make, specify the parameters and execute. No complex data pipelines data cleaning and wasting money on unnecessary data/processes.

⏱️ Query Speed. Query results within minutes, arriving right into your analytic workspace, automation script, or designated database location.

📅 Data Latency. Underlying encounter data are never more than 30 days old, with monthly updates

🌐 Comprehensive Coverage.Our healthcare claims data coverage is comprehensive across CMS and all open-network commercial payors, that is all claims except internal Kaiser and internal VA.

🌾 Granularity. Powered by the DataVant patient token, you have access to longitudinal patient journeys with line item detail, with any aggregation or combination desired from there.

🧐 Data Quality. Our token matching across a multitude of resources with a best-in-industry false positive rate of <0.001 and we take extreme care in delivering data detail that is complete, nuanced and comprehensive.

🧮 Fit-for-Purpose. You need data to solve problems, but then you spend hours and hours to clean and merge data before you even get started. CareQuery is built to remove as much of this as possible, with straightforward data structures at each granularity, the constant option for enrichment and data supplements ranging from affiliation, pricing, outreach and entity detail.

📚 Documentation. CareQuery has a constantly growing corpus of supporting documentation, code recipes and educational resource that can help you understand the data, build killer queries and deliver spectacular insight.

🚁 Support. We have an amazing support team dedicated to helping you navigate the documentation, talk through any remaining issues, and educate around the data lineage and data nuance.

👐 Community. We have cultivated a community via our CareQuery Developer Forum, where users can ask questions, post answers, and have a dialogue with one another about how to better arrive A+ insight in a noisy healthcare world.

Terminology

• Queries: Data requests oriented toward making specific types of requests from tables of data.
• Parameters: Filter specifications within each query, those that reference lists of options.
• Tables: Data underlying the query functions, and may be accessed via one or many query types.
• Features: Individual columns within each table, often correspond to parameters, but not always directly.

CareQuery Documentation

• Guides: Provide context, samples and narrative around queries, data, parameters and use cases.
• Recipes: Give users line-by-line code instructions to accomplish specific tasks and make certain types of queries.
• Discussions: Serve as public forum and Q&A section for any CareQuery related questions and conundrums.