iTromsø · IBM, VC2
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
Document processing
Capital District Physicians’ Health Plan Inc. (CDPHP) · Amazon Web Services (AWS)
Vendor-reportedHealthcareUnited StatesIn productionEnterpriseNLPLive 2019
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by amazon.com (vendor self-report). Checked against the source page on 2026-09-05. 3 of 3 figures below appear on that page word for word.
The problem
Medical records and health data were largely collected as unstructured data, making it difficult to derive insights and deliver better care. Manual extraction was labor-intensive.
What was deployed
- Vendor
- Amazon Web Services (AWS)
- Products
- Amazon Comprehend Medical, Amazon Textract, Amazon SageMaker, AWS Professional Services
- Technique
- NLP
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- electronic medical records, patient medical records, transcripts of audio files, unstructured text
- Scale
- processing 3,000 electronic health records weekly
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
60 percent improvementOverall efficiency
“The company has achieved a 60 percent improvement in overall efficiency using Amazon Comprehend Medical, Amazon Textract, and Amazon SageMaker.”
Quoted word for word from the source · round percentage, no baseline given
two reports dailyHEDIS report generation frequencyfrom a single report took them 4–5 days to generate
“Previously, CDPHP’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.”
Quoted word for word from the source
3,000 electronic health records weeklyElectronic health records processed weekly
“Using Amazon Comprehend Medical, CDPHP is now processing 3,000 electronic health records weekly, and it plans to double that in 2022.”
Quoted word for word from the source
ROI as stated: invaluable in time- and cost-efficiency gains
“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.”
Difficulties and limits
- didn’t have the capability to develop a homegrown solution within a reasonable time frame
Sources
- amazon.com — vendor self-report
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