Tag: Data Extraction

AdaptX clinical management software uses electronic medical records (EMRs) to derive insights—enabling providers and clinical leaders to efficiently leverage real-world data to transform patient care. This post explores how AdaptX built a modern data architecture using Amazon Athena, AWS Lambda, and AWS Step Functions to automate the extraction, transformation, and loading (ETL) of clinical data from provider EMR systems. Results included improved accuracy, scalability, and a better end-customer experience.

Manually extracting data from multiple sources is repetitive, error-prone, and can create a bottleneck in the business process. Idexcel built a solution based on Amazon Textract that improves the accuracy of the data extraction process, reduces processing time, and boosts productivity to increase operational efficiencies. Learn how this approach can solidify your competitive edge, help you respond faster to market opportunities, and increase operational efficiency.

The oil and gas industry is highly complex and churns out copious amounts of data from sensors and machines at every stage in their business value chain. This post analyzes the role of machine learning for document extraction in the oil and gas industry for better business operations. Learn about Quantiphi’s document processing solution built on AWS, and how it helped a Canadian oil and gas organization address document management challenges through AI and ML techniques.