– AWS announced that Amazon Textract, a Machine Learning (ML) service that automatically extracts text and data from scanned documents, is now HIPAA-eligible.
– Amazon Textract will make it easy for customers to accurately and securely process millions of documents in a matter of hours, saving time and lowering processing costs.
– Cerner, Fred Hutchinson Cancer Research Center and The American Heart Association are already exploring new ways use the power of ML to automate their current workloads and transform how they provide care to patients, all while meeting the security and privacy requirements required by HIPAA.
Today, Amazon Web Services (AWS) announced that Amazon Textract, a machine learning service that quickly and easily extracts text and data from scanned documents is now eligible for healthcare workloads that require HIPAA certification. This launch builds upon the existing portfolio of AWS artificial intelligence services that are HIPAA-eligible, including Amazon Translate, Amazon Comprehend, Amazon Transcribe, Amazon Polly, Amazon SageMaker and Amazon Rekognition – that help deliver better healthcare outcomes.
Cumbersome, Manual Healthcare Scanning Process
Healthcare providers routinely extract text and data from documents such as medical records and forms through manual data entry or simple optical character recognition (OCR) software. This is a time-consuming and often inaccurate process that produces outputs requiring extensive post-processing before it can be used by other applications. What organizations want instead is the ability to accurately identify and extract text and data from forms and tables in documents of any format and from a variety of file types and templates.
Easily Extract Text and Data From Scanned Documents Like Claim Forms & Medical Assessments
Amazon Textract analyzes virtually any type of document, automatically generating highly accurate text, form, and table data. Amazon Textract identifies text and data from tables and forms in documents – such as patient information from an insurance claim or values from a table in a scanned medical chart – and recognizes a range of document formats, including those specific to healthcare and insurance, without requiring any customization or human intervention.
Amazon Textract makes it easy for customers to accurately process millions of document pages in a matter of hours, significantly lowering document processing costs, and allowing customers to focus on deriving business value from their text and data instead of wasting time and effort on post-processing. Results are delivered via an API that can be easily accessed and used without requiring any machine learning experience.
Early Adoption from Change Healthcare, Cerner, Cambia Solutions
Many healthcare customers like Change Healthcare, Cerner, Cambia Health Solutions, Fred Hutchinson Cancer Research Center, The American Heart Association and ClearDATA, are already exploring new ways to use the power of ML to automate their current workloads and transform how they provide care to patients, all while meeting the security and privacy requirements required by HIPAA.
Potential Impact for Healthcare
“At Change Healthcare, we believe that we can make healthcare affordable and accessible to all by improving the timeliness and quality of financial and administrative decisions. This can be achieved by the power of machine learning technology to understand more from our data. But unlocking the potential of this information can often be difficult as it’s siloed in tables and forms that traditional optical character recognition hasn’t been able to analyze,” said Nick Giannasi, EVP and Chief AI Officer at Change Healthcare. “Amazon Textract further advances document understanding with the ability to retrieve structured data in addition to text, and now with the service becoming HIPAA eligible, we’ll be able to liberate the information from millions of documents and create even more value for patients, payers, and providers.”
“Over the past 100 years Cambia has been dedicated to improving health care for people and their families. To help us achieve that goal, we’re always evaluating new innovations and opportunities to optimize care coordination. One area of focus is streamlining administrative processes that are time and labor intensive. We’re excited to explore Amazon Textract to help us automate the process of extracting valuable data from paper forms accurately and efficiently. The powerful combination of data science, A.I., and a person-focused approach is key to our mission of transforming the health care system” said Faraz Shafiq, Cambia Health Solutions Chief Artificial Intelligence Officer.
