# Effects on Health Services For artificial intelligence to be applicable, sufficient data must be collected and analyzed. Therefore, it is necessary to establish a legal framework for access and sharing. To improve AI performance, real-time information gathering, sharing and data need to be accurate. The quality and accuracy of the data are very important, the higher the data quality, the lower the risk of artificial intelligence and the higher its efficiency. Collecting qualitatively accurate and realistic data is vital. Public participation should be encouraged for the development of medical artificial intelligence. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://clysterum-1.gitbook.io/clysterum-white-paper/artificial-intelligence-iot-and-healthcare/effects-on-health-services.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.