Best Data Extraction Software in the USA

Iguana, iNTERFACEWARE's development-based integration platform, is the only tool you need to build fully custom interfaces, quickly and reliably. Connect all message formats: HL7, FHIR, X12, JSON and more. With over two decades in the business and thousands of installs globally, Iguana is the world's most trusted integration engine.

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR). PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document. Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records. Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.

Ensure faster, more accurate mortgage and loan document processing automation with Parascript software; automate insurance document-based tasks for the intake and review of healthcare insurance data. Optimize health plan process efficiencies, increase data accuracy and reduce costs through document processing automation. Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation, and data entry for payments, lending, and AP/AR processes. Every year, over 100 billion documents involved in banking, government, and insurance are processed by Parascript software.

Our intelligent document handling platform brings automated extraction, redaction, classification, and indexing to companies of all industries. Extract’s document handling platform reads your incoming unstructured documents. Our customizable platform intelligently extracts or redacts the information you need and routes your data and the original document to their final destination. Our platform runs your source documents through an Optical Character Recognition (OCR) software and rules that have been written by us, specifically for your company's needs. The Extract Systems Platform begins to extract or redact the information you need. With our intelligent software, we are then able to send the data and original document to any final destination you choose. This process not only reduces the time spent on manual entry, but also reduces human error typically caused by manual data entry and speeds up access to valuable discrete data so you can share, compare, report, and analyze the data.

HIPAA-compliant storage of protected health information (PHI) as well as employee or business data from legacy software. Meet data retention requirements, cut costs and fortify cybersecurity defenses by consolidating information silos with a healthcare data archiving and storage solution designed to provide secure, easy access to legacy patient, employee or business records. Release of information, addenda and record purging/destruction workflows. Collection workflows and agency management of transaction files for AR wind down. Access to employee records like W2s, payroll, time and attendance, etc. Create and store unlimited notes and make comments according to HIPAA requirements. View or share lab results, flow sheets, growth charts or other clinical data to make informed care decisions. Search across structured data to fetch clear and concise results.

Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies.

When treating a patient, doctors spend on average two-thirds of their time documenting the treatment and far less time on examinations or patient interviews. To allow doctors to spend more time with their patients, Averbis is working on Speech2Structure – a software solution where the documentation is recorded live by voice and structured on-the-fly. Speech2Structure can correctly recognize and resolve many linguistic variations such as negations, suspected diagnoses, diagnoses that have taken place, etc. when recognizing diagnoses. Pathological laboratory values or microbiology results are also converted into corresponding diagnoses. The recorded medications can also provide clues to diagnoses.