Data Control in Healthcare

https://onecorpcompany.com/ai-driven-document-analysis-for-m-a-due-diligence/

The ability to capture, organize, and use massive amounts of data is the basis of modern-day business success. In the field of healthcare, organizing data and using it to improve patient care is not a small undertaking. The amount of data generated by healthcare facilities is immense yet it is largely not used due to inefficiency or a lack of tools to manage it effectively.

The aim of data control is to safeguard and control data throughout its lifecycle. This requires processes to ensure the accuracy, consistency, and integrity of data as well as protecting sensitive information. Effective data control can lead to audit trails, monitoring the use of data and accountability to identify weaknesses.

Data Control provides a centralized overview of the file system on your network. It locates files with Personal Identifiable Information (PII) and displays them in an interactive dashboard that shows their indexed storage locations on the computers within your network. Indexed data can be accessed and categorized live, ranging from data at-rest (files located in the file system) to data in use and data exfiltration.

Data Control offers a range of different access control models depending on the type of data you want to manage. For instance, an attribute-based access control (ABAC) model grants access based on attributes as well as the environment, such as time and location. This gives more flexibility than access control based on role (RBAC) which assigns privileges based upon users and objects.

developed in the dreamlab