Standard Process

1. Protocol Development:

   The analysis begins with the development of a protocol that defines the research question, data requirements, analysis methods, and endpoints. This protocol ensures that all stakeholders, including researches, pharmaceutical companies and regulatory bodies, are aligned with the scope and objectives of the analysis.

2. Expert Panel Approval:

   Once the protocol is drafted, it is reviewed and approved by an expert panel composed of clinicians, statisticians, and data scientists. This panel ensures that the methods and outcomes align with clinical standards and can withstand scientific scrutiny.

3. Data Access:

   Upon approval, data from relevant sources, such as national health registries, clinical trials, and patient records, is accessed. This may involve data linkage between different datasets to capture a holistic view of patient outcomes and treatment pathways. If the desired data is not available, further information can be gathered through Careplan Creation.

4. Analysis Execution:

   The data is then analyzed using statistical techniques and, if needed, artificial intelligence (AI) models to extract meaningful insights. These analyses range from standard descriptive statistics to sophisticated machine learning models that can identify patterns and predict outcomes.

5. Documentation:

   Once the analysis is complete, the findings are documented in detail. This includes an explanation of the methods used, the results obtained, and how the evidence supports the initial research question or hypothesis.

6. Publication and Reporting:

   The final step is the publication of the results. These may be submitted to peer-reviewed journals, presented at conferences, or shared directly with stakeholders to inform decision-making.