Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Algorithm Ex officio refund of healthcare insurance contributions
- Publication category
- Impactful algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Link to source registration
Responsible use
Goal and impact
The Tax Authority checks withholding agents for correct and complete declaration and payment of payroll taxes. Payroll taxes consist of wage tax, national insurance contributions, employee insurance contributions and the income-related Healthcare Insurance Act contribution. Withholding agents (such as an employer, pension fund or benefits agency) deduct the wage tax and national insurance contributions from their employee's pay; and in some cases the income-related healthcare insurance contribution. They remit this to the tax authorities. The employee insurance contributions and usually the income-dependent healthcare insurance contribution are not deducted from the employee's wage, but are remitted by the withholding agent (employer) itself to the Tax Office.
The employer or benefit agency pays the income-related Healthcare Insurance Act contribution to the Tax Administration. This contribution is a contribution that the employer or benefit agency pays - in addition to the premium to the health insurer - for the health insurance fund. The higher the income, the higher the contribution.
The algorithm helps select individuals who receive income from more than 1 employer. And who may pay more health insurance fund contribution on an annual basis than the legal maximum.
Considerations
Selecting the target group is important to avoid citizens paying too much income-dependent Health Insurance Act contribution. We want to do this carefully. The algorithm can support a Tax Administration employee in this. As a result, the assessment is more careful, efficient and uniform.
Human intervention
The operation of the algorithm always involves human intervention. The algorithm detects and selects. It is the Tax Administration employee who makes the decision.
Risk management
The General Administrative Law Act (Awb) requires the government's actions to be transparent and lawful. The Tax Administration observes the general principles of good governance when applying and developing algorithms.
The algorithm uses data collected under various tax laws. As required by the AVG, no more data is used than necessary.
The selection rules are reviewed periodically and adjusted if necessary to remain compliant with laws and regulations.
Legal basis
- General Administrative Law Act:
- General Data Protection Regulation:
- Archives Act 1995:
- General State Tax Act:
- General Data Protection Regulation Implementation Act:
- Health Insurance Act:
Links to legal bases
- Algemene wet bestuursrecht: : https://wetten.overheid.nl/BWBR0005537/
- Algemene verordening gegevensbescherming: : https://eur-lex.europa.eu/legal-content/NL/TXT/HTML/?uri=CELEX:32016R0679
- Archiefwet 1995: : https://wetten.overheid.nl/BWBR0007376/
- Algemene wet rijksbelasting:: https://wetten.overheid.nl/BWBR0002320/
- Uitvoeringswet Algemene verordening gegevensbescherming:: https://wetten.overheid.nl/BWBR0040940/
- Zorgverzekeringswet:: https://wetten.overheid.nl/BWBR0018450/
Elaboration on impact assessments
- Privacy and AVG
The use of data is tested against the General Data Protection Regulation (AVG). Reviewing personal data reveals any privacy risks and allows appropriate measures to be taken.
The AVG prescribes that no more data should be used than necessary. This is called data minimisation. The Tax Administration regularly examines whether the data used are still necessary and may therefore be used.
- Use of special personal data
No use of special personal data is made within this algorithm.
- Equality and non-discrimination
The algorithm is assessed in line with applicable non-discrimination principles for direct and indirect discrimination. Processing as little personal data as possible reduces the risk of direct discrimination. Employees involved in developing and managing the algorithms receive training on data protection and bias.
Operations
Data
- Identifying data (Social security number, LH number)
- Health insurance law data
Links to data sources
- Identificerende gegevens (Sofinummer, LH-nummer): Belastingdienst
- Zorgverzekeringswet gegevens: Belastingdienst
Technical design
The algorithm consists of selection rules created by content experts based on laws, regulations and expertise.
The algorithm is not self-learning. This means that the algorithm does not develop itself during its use.
External provider
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