A2iA to Showcase Software Proven to Turn Clinical Documentation into Searchable, Electronic Data, at HFMA's 2014 National Institute
A2iA delivers the ability to make sense of cursive handwriting found on complex documents like providers' notes, lab requisitions, clinical documentation, payments and administrative forms.
- New York, NY (1888PressRelease) June 24, 2014 - (HFMA ANI Booth #868) - A2iA ( ( @ ) A2iA), the industry's leading developer of specialized software tools that help users optimize their data capture, document processing and workflow automation capabilities, will showcase A2iA DocumentReader at HFMA's 2014 National Institute this week in Las Vegas, NV dot 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 is proven to address the hybrid workflow and deliver tangible results dot By automatically lifting and indexing printed and handwritten data from clinical documentation, patient charts, providers' notes, lab requisitions and forms, A2iA is helping improve the exchange of information and creating actionable business intelligence, ultimately enhancing revenue cycles dot
"Payers and providers are moving closer towards electronic solutions, but we know that paper is still very much a part of the process," said Jean-Louis Fages, A2iA's President & Chairman of the Board. "Technology can help bridge this gap, but IT systems are only as affective as the data in which they are provided, and that's where A2iA can make the biggest impact."
With the ability to make sense of cursive handwriting and complex data found within the healthcare and payments markets, A2iA delivers more access to information than traditional OCR and ICR engines, and common classification solutions. 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 can be mapped to a custom list of medical terms, such as those in a SNOMED dictionary to ease the transition to ICD-10, turning digital data into usable and searchable electronic information.
About A2iA
For more than 23 years, A2iA has been committed to the research and development of its handwriting recognition and document classification solutions to create more efficient ways for organizations to improve business intelligence. Available in 24-country versions and 7-languages, A2iA's award-winning toolkits are trusted worldwide to streamline document workflows and reduce the need for data-entry throughout industries such as banking/finance, healthcare, insurance, government, and service bureaus/outsourcing firms. For more information, visit www.a2ia.com or call +1 917-237-0390 within the Americas, or +33 1 44 42 00 80 within EMEA or Asia.
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