Introduction
Modern enterprises struggle with overwhelming volumes of unstructured documents across operations. Intelligent Document Processing (IDP) leverages AWS services—including Textract, Comprehend, SageMaker, Kendra, and Step Functions—to automatically extract, classify, and integrate critical data into core systems.
When implemented effectively, these AI-powered solutions reduce manual processing time by up to 35% while enhancing security, scalability, and compliance across document-intensive workflows.
Healthcare: Accelerating Patient Intake
Healthcare organizations handle vast amounts of handwritten and digital patient forms, slowing down patient intake and creating error-prone data entry tasks for administrative staff. Poor data quality can impact care delivery and regulatory compliance.
Ingestion & Storage
– Forms are scanned or photographed and uploaded to Amazon S3 for secure, durable storage.
Data Extraction
– An S3 event triggers an AWS Lambda function, which calls Amazon Textract to read both printed and handwritten text.
– Amazon Comprehend then extracts domain-specific terms such as medications, diagnoses, and allergies.
Validation & Routing
– Another Lambda function applies validation rules (e.g., checking for missing insurance info).
– Approved data is routed to Electronic Health Record (EHR) systems or a HIPAA-compliant data store.
This automation enhances accuracy and efficiency by eliminating manual data entry, reducing errors from illegible handwriting, and freeing staff from tedious transcription tasks.
Real-World Impact
These examples illustrate how healthcare organizations are leveraging Intelligent Document Processing (IDP) to tackle various business challenges.
Capital District Physicians’ Health Plan Inc. (CDPHP), a health plan provider, achieved a 60% improvement in efficiency using Amazon Textract and Comprehend Medical to process medical records. They can now generate reports in hours instead of days and automatically assign confidence scores to extracted health data for quality control. Explore the comprehensive case study: CDPHP Case Study | Healthcare AI | AWS
Healthvana delivered over 50 million health records to patients on behalf of healthcare providers, including county and city agencies. By leveraging Textract to validate vaccine records at scale, they reduced the manual workload for public health staff and ensured the authenticity of each record. Discover their full implementation strategy: Healthvana Case Study
Overall, AWS IDP solutions in healthcare accelerate patient intake, reduce wait times and staff burnout, while ensuring data accuracy and privacy.
Financial Services: Automating Loan Processing
Manually verifying loan documents (pay stubs, tax forms, bank statements) can take weeks, leading to frustrated customers and increasing the risk of human error.
Document Classification
– Amazon Textract Analyze Lending API identifies and classifies each document type in a mortgage or loan package (e.g., W-2, 1003 loan application).
Data Extraction & Risk Scoring
– Amazon Textract extracts key fields, such as total income, SSN, employment info.
– Amazon SageMaker runs ML models to flag discrepancies and assess default risk.
Compliance & Storage
– Sensitive data (like SSNs) is encrypted using AWS KMS.
– All steps are logged for auditing in AWS CloudTrail.
– Final data is stored in a secure database or data lake for regulatory checks.
Accelerating Loan Processing
During the 2020 PPP program, fintech lender Kabbage implemented Amazon Textract to manage a surge in loan applications, automating 80% of document processing and slashing approval times from days to just 4 hours—a critical efficiency gain when small businesses needed rapid financial support. Learn about their full implementation strategy in the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/how-kabbage-improved-the-ppp-lending-experience-with-amazon-textract/.
Transforming Mortgage Processing
Indecomm’s Amazon Textract solution cut mortgage file review from 30 to 5-7 minutes with 97% extraction accuracy, reducing manual review by 50-60%, doubling underwriter productivity, and automatically flagging inconsistencies—enhancing both efficiency and risk management.
AWS IDP solutions enhance accuracy, reduce processing times, and improve scalability, helping financial institutions streamline operations while mitigating risk. Discover the complete implementation details in the comprehensive case study Indecomm Case Study | Amazon Web Services.
Transform Your Healthcare and Financial Document Workflows
The impressive results seen in healthcare and financial services demonstrate the transformative power of intelligent document processing. Now is the time to harness this technology for your organization.
At Allata, we specialize in developing and implementing comprehensive IDP solutions on AWS that align with your specific healthcare or financial business objectives, compliance requirements, and security best practices. Our expertise in cloud-native architectures, AI/ML automation, and data-driven workflows ensures your organization can achieve:
– Faster, more accurate processing of patient records, loan applications, and financial documents
– Seamless integration with existing systems (EHRs, ERPs, lending platforms, and payment systems)
– HIPAA-compliant and financial regulation-ready automation
– Advanced analytics to uncover insights from your document data
Don’t let manual document processing continue to drain your resources and slow your business. Whether you’re looking to accelerate patient intake like CDPHP or transform loan processing like Kabbage, our team of experts will help identify your highest-impact opportunities for automation, develop a tailored implementation strategy, and guide you through seamless integration with your existing systems.
Begin your journey and transform your healthcare and financial document workflows with Allata and AWS!
