Regulatory requirements, patient privacy, and the ongoing digitization of healthcare requires a holistic data management solution.
Healthcare data is one of the most sensitive types of personal information and comes with a huge privacy responsibility. The RecordPoint platform automatically analyzes and classifies records and then flags them for retention, disposition, or hold, based on content in files and records. This includes personally identifiable information (PII).
When data classification is streamlined, you can accurately and swiftly locate and provide all necessary information for an insurance claim or legal action. RecordPoint allows for user-driven rules-based classification or automation classification with AI and ML.
In the highly regulated healthcare sector, the more you minimize risk, the easier it is to avoid privacy breaches and reputational damage. RecordPoint provides a continuous data inventory and categorization process so you can make better decisions on data migration, minimization, and privacy.
Our expert teams in the United States, the United Kingdom and Australia are well versed in the legislative obligations, policy requirements, or best practice to help you manage the your regulatory obligations.
It’s not possible to make good data decisions if you can’t appropriately classify and understand your data. Scalable, consistent, and accurate governance enables teams to solve the data privacy challenge.
ML 101: How machine learning powers RecordPoint’s Classification Intelligence
Learn more about machine learning and AI, and how this technology powers modern records management solutions like Records365’s Classification Intelligence.
Essential data maintenance activities explained
Data maintenance involves collecting and organizing data so it is accessible and useful. Learn essential aspects of data maintenance and how RecordPoint helps