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Title
CDPHP modernizes infrastructure and improves medical data extraction with AWS AI/ML
…with expert guidance and packaged solutions AWS Solutions Library Case Studies CDPHP Modernizes Infrastructure and Improves Ability to Extract Valuable Medical Data on AWS Overview Capital District Physicians’ Health Plan Inc. (CDPHP), a not-for-profi…
Company
CDPHP (Capital District Physicians' Health Plan Inc.)
…structure and Improves Ability to Extract Valuable Medical Data on AWS Overview Capital District Physicians’ Health Plan Inc. (CDPHP), a not-for-profit, physician-founded and guided health plan serving 400,000 members in Upstate New York, strives to provide its customers with quality care that is both affordable and…
Country
United States
…signed to work with each other makes our job significantly easier.” About CDPHP CDPHP is a United States–based healthcare plan that strives to deliver quality healthcare at a reasonable cost for its members. Founded by physicians in 1984, CDPHP works with over 10,000 providers and pract…
Region
North America
…signed to work with each other makes our job significantly easier.” About CDPHP CDPHP is a United States–based healthcare plan that strives to deliver quality healthcare at a reasonable cost for its members. Founded by physicians in 1984, CDPHP works with over 10,000 providers and pract…
Industry
Healthcare
CDPHP Case Study | Healthcare AI | AWS Skip to main content Filter: All English Contact us AWS Marketplace Support My…
Deployment model
cloud
…lthcare payors to use it to derive insights and deliver better care to members. To process medical data more efficiently and improve care, CDPHP turned to the artificial intelligence and machine learning (ML) capabilities of Amazon Web Services (AWS). Using a range of AWS services, including Amazon Comprehend Medical , a HIPAA-el…
Problem
CDPHP ingests vast amounts of electronic medical records every day, but medical records and health data have largely been collected as unstructured data, which makes it difficult to derive insights and deliver better care. Prior to using AWS, CDPHP needed to manually extract, process, and organize all medical records, a labor-intensive process, and lacked the capability to develop a homegrown solution within a reasonable time frame.
…its customers with quality care that is both affordable and easily accessible. CDPHP ingests vast amounts of electronic medical records every day. But historically, medical records and health data have largely been collected as unstructured data, which makes it difficult for healthcare payors to use it to derive insights and deliver better care to members. To process medical data more efficiently and improve care, CDPHP turned to the…
…trict Physicians’ Health Plan Inc. Modernizing Data Infrastructure and Strategy Prior to using AWS, CDPHP needed to manually extract, process, and organize all medical records—a labor-intensive process. “We just didn’t have the capability to develop a homegrown solution within a re…
Description
CDPHP, a not-for-profit health plan serving 400,000 members in Upstate New York, used AWS services including Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker to automate its data processing pipeline for unstructured medical records and health data. The organization processed over seven million records during initial migration and now processes 3,000 electronic health records weekly. CDPHP achieved a 60% improvement in overall efficiency and reduced HEDIS report generation from 4-5 days (three data scientists) to two reports produced daily.
…structure and Improves Ability to Extract Valuable Medical Data on AWS Overview Capital District Physicians’ Health Plan Inc. (CDPHP), a not-for-profit, physician-founded and guided health plan serving 400,000 members in Upstate New York, strives to provide its customers with quality care that is both affordable and easily accessible. CDPHP ingests vast amounts of electronic medical records every day. But histori…
…generate. Now, CDPHP is producing two reports daily using its automated system. The company has achieved a 60 percent improvement in overall efficiency using Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker. “Using AWS has been invaluable in time- and cost-efficiency gains,” says Pietrz…
Solution
CDPHP used AWS services including Amazon Comprehend Medical, a HIPAA-eligible natural language processing service, together with Amazon Textract and Amazon SageMaker to automate its data processing pipeline. Amazon Textract extracts printed text, handwriting, and data from documents; Amazon Comprehend Medical extracts and normalizes medical information from unstructured text into a common format with accuracy scores; Amazon SageMaker uses the extracted data to build ML models. CDPHP engaged AWS Professional Services early in the design stage to create a more efficient, modular architecture.
…sitioned to an automated, ML-based solution with several key components. First, CDPHP uses Amazon Textract , which automatically extracts printed text, handwriting, and data from any document. CDPHP can even use Amazon Textract to parse handwritten documents for downstrea…
…a queryable form to feed multiple analytics use cases, such as risk adjustment. “By using Amazon Comprehend Medical, we can normalize information from disparate sources and across different formats into a common format that we can analyze with our ML models,” says Pietrzykowski. “With this solution, we are able to more quickly and efficiently improve the ca…
…ble to more quickly and efficiently improve the care that our members receive.” One of the most significant benefits of using Amazon Comprehend Medical for CDPHP is that it can assign each data entity an accuracy score and a probability that the data is of good quality. “It’s useful to set thresholds on what data the system should keep and when it…
Technology
Amazon Comprehend Medical, Amazon Textract, Amazon SageMaker
…sitioned to an automated, ML-based solution with several key components. First, CDPHP uses Amazon Textract , which automatically extracts printed text, handwriting, and data from any document. CDPHP can even use Amazon Textract to parse handwritten documents for downstrea…
…that helps us make sure we’re only dealing with the most reliable information.” Next, CDPHP uses Amazon SageMaker —which helps users build, train, and deploy ML models—to use the extracted health information to inform future feature planning and engineering. Modernizing its data infrastructure on AWS has also increased CDPHP’s productiv…
Business value
CDPHP processed over seven million records during initial migration and now processes 3,000 electronic health records weekly, with plans to double that in 2022. HEDIS report generation improved from 4-5 days requiring three data scientists to two reports produced daily, and CDPHP achieved a 60 percent improvement in overall efficiency.
…e historical information until it reached a steady-state stream of new records. Using Amazon Comprehend Medical, CDPHP is now processing 3,000 electronic health records weekly, and it plans to double that in 2022. The Healthcare Effectiveness Data and Information Set (HEDIS) is a performance…
…P’s manual process of generating HEDIS reports was slow and resource intensive. Three data scientists worked almost exclusively on reporting, and a single report took them 4–5 days to generate. Now, CDPHP is producing two reports daily using its automated system. The company has achieved a 60 percent improvement in overall efficiency using A…
…generate. Now, CDPHP is producing two reports daily using its automated system. The company has achieved a 60 percent improvement in overall efficiency using Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker. “Using AWS has been invaluable in time- and cost-efficiency gains,” says Pietrz…
Applicable regulations
Health Insurance Portability and Accountability Act (HIPAA)
…bilities of Amazon Web Services (AWS). Using a range of AWS services, including Amazon Comprehend Medical , a HIPAA-eligible natural language processing service that uses ML to extract health data from medical text, the organization has automated its data processing pipeline, improved efficien…
AI capabilities
Natural Language Processing, Machine Learning, Document Intelligence
…ces (AWS). Using a range of AWS services, including Amazon Comprehend Medical , a HIPAA-eligible natural language processing service that uses ML to extract health data from medical text, the organization has automated its data processing pipeline, improved efficien…
…er a broad set of capabilities purpose-built for ML. Learn more Amazon Textract Amazon Textract is a machine learning service that automatically extracts text, handwriting and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Learn more AWS Professional Services The AWS Professional Services organization…
Deployment options
cloud
…lthcare payors to use it to derive insights and deliver better care to members. To process medical data more efficiently and improve care, CDPHP turned to the artificial intelligence and machine learning (ML) capabilities of Amazon Web Services (AWS). Using a range of AWS services, including Amazon Comprehend Medical , a HIPAA-el…
