Publication date: Oct 11, 2024
This separation of data based on set criteria is known as data segregation, and it is one of the cornerstones of good data security practices. As the pharmaceutical industry moves toward digitalization, companies have implemented data capturing systems that create structured data from the unstructured legacy systems. For instance, data segregation can ensure that patient data or company IP receives the appropriate encryption and isnt accidentally shared alongside supply chain logistics or external communications. This breach of trust generated widespread concern and backlash, bringing renewed attention to the importance of proper data management and data sharing in the biotech and pharmaceutical industries. Unstructured data is data that exists in a variety of formats and can be qualitative in nature. A transition toward digitally captured, structured data allows systems to collect and communicate information previously recorded by hand, cutting down on costly mistakes. Data segregation can also be a valuable tool for training AI, since an AI is only as good as the reference information you feed it.
| Concepts | Keywords |
|---|---|
| Biotech | Advanced |
| Chinese | Chain |
| Costly | Companies |
| Therapy | Data |
| Good | |
| Important | |
| Management | |
| Pharma | |
| Pharmaceutical | |
| Process | |
| Segregation | |
| Structured | |
| Supply | |
| Systems | |
| Unstructured |