Data Collection: Logs are collected from various sources such as medical devices, EHR systems, and bioinformatics tools. Data Preprocessing: The collected logs are cleaned and formatted for analysis. This may involve removing irrelevant information and standardizing data formats. Data Analysis: Various analytical techniques such as statistical analysis, machine learning, and natural language processing (NLP) are used to extract insights from the logs. Visualization: The results of the analysis are visualized using graphs, charts, and dashboards to make the findings more understandable. Reporting: A comprehensive report is generated summarizing the findings and providing recommendations for action.
