KYC Document Verification for Global Bank
Automatically validating national IDs and international passports at branch registration points.
CMS-HCC risk adjustment sorts each patient into a demographic segment (community non-dual aged, institutional, new enrollee, etc. — CMS’s actual category codes), then sums a demographic factor with disease-category factors. A condition’s more-severe HCC excludes its milder version via an explicit exclusion list — not "pick the bigger number" — so it isn’t double-counted.
The demographic-segment logic and the exclusion-list hierarchy mechanism below are copied from an actual open-source healthcare-data dbt project’s CMS-HCC model. Its own coefficient seed tables ship empty in that project too — CMS’s official rate-table numbers aren’t redistributable — so the numbers below are clearly-marked placeholders for you to replace with official CMS Rate Announcement values, exactly as that project requires. Runs entirely in JavaScript — no model download.
Patients
Headers just need to resemble the sample below — exact wording isn’t required.
Demographic factor seed (PLACEHOLDER — not real CMS values)
Headers just need to resemble the sample below — exact wording isn’t required.
Disease/hierarchy seed (PLACEHOLDER — not real CMS values)
Headers just need to resemble the sample below — exact wording isn’t required.
Risk scores by patient
Score breakdown
See how organizations are leveraging our AI solutions to scale.
Automatically validating national IDs and international passports at branch registration points.
Monitoring millions of concurrent packets to identify distributed system threats before they escalate.
Empowering radiologists with pre-processed clinical segmentations of scans in milliseconds.
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Yes, we design and develop fully custom CRM solutions tailored to your workflows.
Yes. Every solution on this page is built to run inside your environment — on your machines, with your data staying where it is.
Most pilots go live in four to six weeks, with production rollout following once the results are validated against your data.
We do, where it earns its keep. Many of these solutions start from open models and are tuned against your domain data.
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