ETHERFAX Unlocks Structured Data

ETHERFAX announced an artificial intelligence (AI) solution that facilitates advanced capabilities of searchable PDF, OCR, and other Key Value Pairs. These new capabilities are ideal for healthcare and organizations that need to extract data from a broad range of applications and systems. Using Microsoft’s Cognitive Services, ETHERFAX AI extracts and digitizes data from a range of unstructured documents and forms to eliminate information silos and dramatically improve processes and workflows.

Today, clinical care teams and healthcare administrative teams still spend a considerable amount of time typing in, clicking through, and editing electronic health records. Manually keying in patient data into fields is not only time-consuming and inefficient, but also can be inaccurate and unreliable.

ETHERFAX AI reduces error rates associated with manual data entry by extracting information that is stored in unstructured document types, such as PDFs and paper-based forms. The solution digitizes data that can be searchable and ready to be integrated into workflows and applications, such as EMRs. To improve interoperability and reduce information silos, form recognition allows users to easily incorporate data into third-party workflows and share information across platforms. Read more in AiThority.

Paul Banco

As CEO of ETHERFAX®, Banco is responsible for the strategic direction of the company and leads technology development, including the patented ETHERFAX and ETHERFAX SEN intellectual property. Banco helped organizations automate their fax server operations. As a visionary, he identified the need to leverage the cloud for secure document delivery and co-founded ETHERFAX in 2009 with other telecom industry veterans.

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