Document Processing in
Industry Focus: Document Processing in Healthcare
Healthcare and life sciences organizations need to find a way to convert documents in real-time to actionable data. That’s where Intelligent Document Processing (IDP) comes in. It converts unstructured data locked in paper documents to structured data. By combining machine learning, Artificial Intelligence (AI) capabilities, and human intervention, DocDigitizer’s IDP platform can greatly improve today’s healthcare document processing systems and lead to better patient outcomes as well as reduced costs.
DocDigitizer’s Intelligent Document Processing solution is based on years of R&D and the company has developed a machine learning platform that supports human-assisted AI. This unique architecture allows users to extract data with close to zero false positives at blazing speed. Healthcare organizations can now upgrade their document processing systems with smart sensing capabilities, which will enable them to extract large volumes of structured data from unstructured documents, making it possible to collect key data about a patient in real-time.
The company delivers intelligent document processing solutions that are scalable and secure for all healthcare organization’s needs. DocDigitizer’s IDP platform is especially relevant for government-funded health organizations, which must follow strict rules and regulations relating to the data they collect and manage from patients (such as HIPAA requirements).
DocDigitizer’s Intelligent Document Processing solution can be customized for a wide variety of use cases, from barcode scanning and patient intake to medical records management. The solution is available as a software-as-a-service (SaaS), which enables clients to start digitizing their document data with just one click on the web browser, without any IT effort or need for heavy integration.
The platform also offers image enhancement capabilities. The software can read faded or low-quality images, such as those attached to medical records. Even if the quality of the image is poor, it usually does not take much effort for an AI engine to extract some data from it, saving countless amounts of time and resources.
The solution detects and corrects data that was not initially captured by the sensor, such as text inside a document or around the edges of a photograph. The intelligent detection technology also processes complex documents – like consent forms with multiple signatures and check boxes – to simplify them for medical records management and make it possible for physicians to quickly find what they need.
DocDigitizer has a unique ability to process a wide range of unstructured documents, including medical records in paper form, PDFs and other document types. The company’s AI technology can read documents that are in too poor a condition to be read by optical scanners, and it can detect when there is no data on the document to fill out missing fields. The intelligent detection capabilities allow DocDigitizer to process documents more accurately than human operators, which frees up staff members for other tasks, such as assisting in the review process. The company’s AI engine automatically flags documents that require a human operator for review and places them in an intelligent queue on the web browser dashboard, so healthcare professionals always know which documents need to be worked on next.