What is document classification?
The process of classifying documents involves assigning a specific category based on the actual content in an automated manner. Advanced algorithms review the documents taking into account layout, content and graphic design to ensure high quality and efficiency. Using machine and deep learning techniques, document classification minimizes the risk of sending unauthorized documents outside the organization by determining the level of vulnerability.
Use of document classification in health care
Medical records require special attention to security issues and appropriate safeguards against unauthorized access. The need to protect personal data in health care facilities is indicated by the Health Minister’s Order of April 6, 2020. On the types, scope, models of medical records and the manner of their processing. The document specifies in detail the conditions that must be met in order to consider medical records secure. In addition, any information processed in health care facilities, in the form of, at least, health care services is characterized by high sensitivity and often involves special category personal data. These include. documents containing such data as the patient’s PESEL number, name, date of birth, or health information. The use of automatic document classification would therefore enable effective analysis, ensuring the security of personal data from accidental or intentional leakage.
Benefits of using medical record classification
Hundreds of documents, both paper and electronic, are processed in health care facilities throughout the day. In addition to security and data protection issues, automatic document classification also affects:
– efficiency of the entire organization – workflow processes, thanks to the use of AI, run faster, are organized and easier to manage. This promotes improved information flow in the health care system, access to data, types of medical records, or invoices, no matter where they are located,
– saving time – manual analysis of documents consumes a large portion of the time of health care workers, both doctors and nurses. In addition, document classification not only categorizes and groups documents by type, but also identifies and indicates which documents are confidential, allowing them to be automatically blocked,
– lower costs – the implementation of artificial intelligence leads to significant savings due to the fact that employees do not have to classify documents on their own. In addition, the savings are related to lower administrative and accounting costs, thanks to the automation of routine activities,
– Increased employee productivity – once artificial intelligence is applied, employees can get on with the important tasks, rather than spend a long time searching through binders to find a particular document.
Source:
www.axis-ai.com