Creating synthetic health records involves several steps:
1. Data Collection: Gathering real-world data from electronic health records (EHRs), clinical trials, or other healthcare sources. 2. Algorithm Development: Developing algorithms that can generate synthetic data based on patterns observed in the collected real-world data. 3. Validation: Ensuring that the synthetic data accurately reflects the statistical properties and distributions of the original data, while not directly duplicating any individual patient records. 4. Testing and Refinement: Continuously testing and refining the algorithms to improve the quality and usability of the synthetic records.
