Using the provided SQL table schemas (Claim
, ClaimDetail
, and ReinsContract
), write a single SQL query to identify subscribers who have exceeded their specific reinsurance deductible and are eligible for reimbursement.
- Subscriber: The primary person covered under a health insurance plan. Dependents may also be covered, but the subscriber is typically the policyholder.
- Claim: A request for payment submitted by a healthcare provider or insured individual to the insurer, seeking reimbursement for services rendered.
- Claim Detail: Breakdown of individual services, procedures, or items billed within a claim.
- Reinsurance Deductible: A financial threshold in a reinsurance agreement. If a subscriber's total claim amount exceeds this threshold, the insurer can seek reimbursement from the reinsurer.
- Specific Deductible: A type of deductible tied to individual subscribers. Once a subscriber’s claims exceed this specific deductible, further claims may be reimbursed by the reinsurer.
- Format: Submit your solution as a private GitHub Gist or a private repository.
- Files Required:
.sql
file containing the SQL query..md
file explaining your approach, including details about integration with Metabase and relevant visualizations.
- Deadline: Clearly indicate the submission deadline.
- Evaluation: Submissions will be assessed based on the rubric below.
- Research and Analysis: Understand the provided table schemas and the relationships between them. You might have to research health insurance terminology to grasp the context.
- Join the Tables: Use appropriate SQL joins to combine data from
Claim
,ClaimDetail
, andReinsContract
tables. - Calculate Breach: Identify if a subscriber's total claim amount exceeds the
Specific_Deductible
in theReinsContract
table. - Output:
Subscriber_ID
Group_ID
- Total claim amount exceeding the specific deductible.
- Percentage Exceeding
- Additional Considerations:
- Provide a clear explanation of the health insurance terminology relevant to the query.
- Describe how this query can be integrated into Metabase and suggest suitable visualizations (e.g tables to list detailed claims).
- Query Performance (25%)
- Efficient joins and appropriate use of indexes.
- Optimization techniques to handle large datasets.
- Comments and Documentation (15%)
- Clear, concise comments explaining the purpose of each query component.
- Use of meaningful aliases and variable names.
- Structure and Clarity (20%)
- Logical flow and well-organized query structure.
- Effective use of subqueries or Common Table Expressions (CTEs) to enhance readability.
- Consistent formatting and indentation.
- Submission of a separate
.md
file with detailed explanations.
- Integration with Metabase (20%)
- Explanation of query integration with Metabase (e.g., setting up the SQL query in a saved question).
- Suggestions for visualizations to present breached deductibles (e.g., aggregate totals per subscriber in bar charts or detailed tables).
- Industry Terminology Explanation (20%)
- Accurate and concise explanation of terms like "reinsurance deductible," "specific deductible," "claim," and "subscriber."
- Clear connection of terminology to the task requirements.