A2iA (@A2iA), the worldwide leading developer of cursive handwriting and machine-printed text recognition, and intelligent document classification software, will showcase A2iA DocumentReader™ at the upcoming HIMSS12 Conference & Exposition, February 21-23. Fully integratable into a wide array of healthcare applications, including those for Computer Assisted Coding (CAC), Electronic Medical Records (EMR), Explanation of Benefits (EOB) and Claims, A2iA DocumentReader’s advanced recognition technology addresses the hybrid workflow. By automatically lifting and indexing printed and handwritten data from clinical documentation, patient charges, lab requisitions and forms, A2iA reduces costs and improves processing times.
“By automating processes that have traditionally been performed by hand, A2iA is able to help ensure patient privacy and achieve meaningful use,” said Jean-Louis Fages, A2iA President & Chairman of the Board. “We are paving the way for a completely new landscape in a rapidly changing market.”
Without the use of any third-party technology, A2iA DocumentReader leaves room for customization and complete control of its engines. Printed and cursive handwritten data that is automatically lifted is turned into digital data, making it searchable and reportable.
A2iA, Artificial Intelligence and Image Analysis (a2ia.com), is the worldwide leading developer of handwritten and machine printed text recognition, information extraction and intelligent document classification toolkits. By enhancing solutions from systems integrators and independent software vendors, A2iA allows complex and cursive data from all forms, documents and checks including unstructured handwritten letters, to become part of a structured database, making it searchable and reportable, with the same level of flexibility of printed or digital data. Proven to reduce costs and nearly eliminate data-entry and manual document processing, over 20 years as it enhances forms-processing, transaction-processing, content management, document management and knowledge management systems worldwide.