Sample schema and Dataset for Insurance company(SQL and dataset included).



Creating a schema for a health insurance company involves defining the main entities and their relationships within the company's data structure. Below is a simplified schema for a health insurance company:


**Entities:**


1. **Policyholder**

   - PolicyholderID (Primary Key)

   - First Name

   - Last Name

   - Date of Birth

   - Contact Information (Address, Phone, Email)

   - Social Security Number (SSN)

   - Employment Information

   - Dependents (if applicable)


2. **Insurance Policy**

   - PolicyID (Primary Key)

   - Policy Type (e.g., Individual, Family, Group)

   - Coverage Details (Coverage limits, deductible, copay, etc.)

   - Premium Amount

   - Policy Start Date

   - Policy End Date

   - PolicyholderID (Foreign Key)


3. **Claims**

   - ClaimID (Primary Key)

   - PolicyID (Foreign Key)

   - Date of Service

   - Healthcare Provider Information

   - Diagnosis Codes (ICD-10)

   - Procedure Codes (CPT)

   - Total Claim Amount

   - Status (Pending, Approved, Denied)

   - Date of Claim Submission


4. **Providers (Healthcare Facilities)**

   - ProviderID (Primary Key)

   - Name

   - Type (Hospital, Clinic, Physician, etc.)

   - Address

   - Contact Information (Phone, Email)

   - Network Status (In-Network, Out-of-Network)


5. **Benefit Network**

   - NetworkID (Primary Key)

   - PolicyID (Foreign Key)

   - ProviderID (Foreign Key)

   - Network Effective Date

   - Network Expiration Date


6. **Payments**

   - PaymentID (Primary Key)

   - ClaimID (Foreign Key)

   - Amount

   - Payment Date

   - Payment Method (Check, Electronic Transfer, etc.)


7. **User Accounts**

   - UserID (Primary Key)

   - Username

   - Password (hashed and salted)

   - Role (Policyholder, Claims Adjuster, Administrator, etc.)


**Relationships:**


- Each Policyholder can have one or more Insurance Policies.

- Each Insurance Policy is associated with one Policyholder.

- Each Insurance Policy can have multiple Claims.

- Each Claim is associated with one Insurance Policy.

- Each Claim involves one or more Providers.

- Each Provider can be part of multiple Benefit Networks.

- Each Benefit Network is associated with one Insurance Policy and one Provider.

- Each Payment is linked to a specific Claim.

- User Accounts are associated with various roles within the company.


This schema provides a foundation for managing health insurance data, including policyholder information, policy details, claims, healthcare providers, and financial transactions. Depending on the specific needs and complexities of the insurance company, the schema can be further expanded and refined. Additionally, data security and compliance with healthcare regulations (e.g., HIPAA) should be a top priority when designing and managing this data.





Creating a complete SQL script for the schema described earlier would involve several tables, relationships, and data constraints. Below, I'll provide a simplified SQL script to create the main tables and their relationships. Please note that this is a basic example, and you may need to expand and customize it according to your specific requirements and database system (e.g., MySQL, PostgreSQL, SQL Server, etc.). 


-- Create the Policyholder table

CREATE TABLE Policyholder (

    PolicyholderID INT PRIMARY KEY,

    FirstName VARCHAR(255),

    LastName VARCHAR(255),

    DateOfBirth DATE,

    Address VARCHAR(255),

    Phone VARCHAR(15),

    Email VARCHAR(255),

    SSN VARCHAR(11),

    EmploymentInfo TEXT

);


-- Create the InsurancePolicy table

CREATE TABLE InsurancePolicy (

    PolicyID INT PRIMARY KEY,

    PolicyType VARCHAR(50),

    CoverageDetails TEXT,

    PremiumAmount DECIMAL(10, 2),

    PolicyStartDate DATE,

    PolicyEndDate DATE,

    PolicyholderID INT,

    FOREIGN KEY (PolicyholderID) REFERENCES Policyholder(PolicyholderID)

);


-- Create the Claims table

CREATE TABLE Claims (

    ClaimID INT PRIMARY KEY,

    PolicyID INT,

    DateOfService DATE,

    HealthcareProvider VARCHAR(255),

    DiagnosisCodes VARCHAR(255),

    ProcedureCodes VARCHAR(255),

    TotalClaimAmount DECIMAL(10, 2),

    ClaimStatus VARCHAR(20),

    DateOfClaimSubmission DATE,

    FOREIGN KEY (PolicyID) REFERENCES InsurancePolicy(PolicyID)

);


-- Create the Providers table

CREATE TABLE Providers (

    ProviderID INT PRIMARY KEY,

    Name VARCHAR(255),

    ProviderType VARCHAR(50),

    Address VARCHAR(255),

    Phone VARCHAR(15),

    Email VARCHAR(255)

);


-- Create the BenefitNetwork table

CREATE TABLE BenefitNetwork (

    NetworkID INT PRIMARY KEY,

    PolicyID INT,

    ProviderID INT,

    NetworkEffectiveDate DATE,

    NetworkExpirationDate DATE,

    FOREIGN KEY (PolicyID) REFERENCES InsurancePolicy(PolicyID),

    FOREIGN KEY (ProviderID) REFERENCES Providers(ProviderID)

);


-- Create the Payments table

CREATE TABLE Payments (

    PaymentID INT PRIMARY KEY,

    ClaimID INT,

    Amount DECIMAL(10, 2),

    PaymentDate DATE,

    PaymentMethod VARCHAR(50),

    FOREIGN KEY (ClaimID) REFERENCES Claims(ClaimID)

);


-- Create the UserAccounts table (for authentication and authorization)

CREATE TABLE UserAccounts (

    UserID INT PRIMARY KEY,

    Username VARCHAR(50),

    PasswordHash VARCHAR(255), -- Store hashed passwords securely

    Role VARCHAR(50)

);


-- Add any additional constraints, indexes, and triggers as needed

-- (e.g., unique constraints, indexes for performance, etc.)




This script creates the main tables and establishes the primary key and foreign key relationships between them. Remember to adapt the data types, constraints, and naming conventions to your specific database system and application requirements. Also, consider adding indexes and enforcing data validation rules, such as check constraints and unique constraints, to ensure data integrity.




DATASET:

Here's a simplified example of what the data might look like for the tables described earlier:

Policyholder Table:

PolicyholderIDFirstNameLastNameDateOfBirthAddressPhoneEmailSSNEmploymentInfo
1JohnDoe1980-01-15123 Main St(123) 456-7890john.doe@email.com123-45-6789Software Engineer
2JaneSmith1990-05-20456 Elm St(456) 789-1234jane.smith@email.com987-65-4321Nurse

InsurancePolicy Table:

PolicyIDPolicyTypeCoverageDetailsPremiumAmountPolicyStartDatePolicyEndDatePolicyholderID
101IndividualBasic Coverage500.002023-01-012024-01-011
102FamilyComprehensive1000.002023-02-012024-02-012

Claims Table:

ClaimIDPolicyIDDateOfServiceHealthcareProviderDiagnosisCodesProcedureCodesTotalClaimAmountClaimStatusDateOfClaimSubmission
2011012023-03-15ABC ClinicABC123XYZ456300.00Approved2023-03-20
2021022023-04-10XYZ HospitalDEF789LMN987800.00Pending2023-04-15

Providers Table:

ProviderIDNameProviderTypeAddressPhoneEmail
301ABC ClinicClinic789 Oak St(111) 222-3333abc.clinic@email.com
302XYZ HospitalHospital456 Maple Rd(222) 333-4444xyz.hospital@email.com

BenefitNetwork Table:

NetworkIDPolicyIDProviderIDNetworkEffectiveDateNetworkExpirationDate
4011013012023-01-012023-12-31
4021023022023-02-012023-12-31

Payments Table:

PaymentIDClaimIDAmountPaymentDatePaymentMethod
501201300.002023-03-25Electronic
502202800.002023-04-20Check

You can copy and paste this data into an Excel spreadsheet, making sure to align the columns correctly. Remember that this is a simplified example, and in a real-world scenario, you would have more extensive data and possibly additional tables and relationships.



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