Listing Thumbnail

    AWS Clean Rooms ML for Healthcare Research - HEOR + RWE + Multi-Party

     Info
    Sold by: Kriv AI 
    Kriv AI builds multi-party healthcare research collaborations on AWS Clean Rooms ML for pharma-R&D, payer HEOR, CRO-led trials, and multi-site provider research. Scope: Clean Rooms workspace + Clean Rooms ML lookalike / predictive models + Entity Resolution, OMOP CDM harmonization via AWS Glue, HealthLake FHIR R4 + Comprehend Medical de-identification + Macie PHI discovery, differential-privacy epsilon-budget enforcement, k-anonymity / l-diversity thresholds, IRB-ready Common Rule (45 CFR 46) protocol templates, 42 CFR Part 2 controls, FDA 2023 RWE guidance alignment. Zero PHI egress between parties, architectural guarantee via Clean Rooms cryptographic isolation. Three tiers: $125K / $200K / $300K + $50K Extra Party. AWS Select + Databricks + Anthropic CPN.

    Overview

    Datavant and Slalom reference AWS Clean Rooms; no vertical healthcare Clean Rooms ML professional services listing exists on AWS Marketplace today. Pharma-R&D + payer HEOR + multi-site clinical research collaboration is uncontested white space, and FDA's 2023 RWE guidance explicitly endorsed privacy-preserving computation / clean rooms as acceptable for regulatory submission.

    Healthcare data collaboration has been broken for 20 years. Pharma cannot share patient-level data with payers for HEOR studies because HIPAA, GDPR, and DUAs block direct movement. Payer-pharma HEOR stalls 6–12 months on terms. Tokenization platforms (Datavant, HealthVerity, Komodo, Trinetx) charge $150K–$2M/yr and still require data movement. RWE platforms (Aetion, Flatiron, Trinetx) run $500K–$5M/yr with proprietary data-model lock-in.

    AWS Clean Rooms + Clean Rooms ML solves this architecturally. Parties keep raw data in own S3 buckets under Lake Formation; Clean Rooms executes pre-approved analysis against federated datasets with cryptographic isolation, zero PHI egress between parties. Clean Rooms Identity Resolution matches identifiers without revealing them. Differential privacy enforces configurable epsilon budgets; k-anonymity default k ≥ 10; aggregation thresholds per DUA. Clean Rooms ML extends to lookalike + predictive without sharing training data. HealthLake normalizes FHIR R4; Comprehend Medical de-identifies; Macie discovers residual PHI; OMOP CDM via Glue.

    Existing AWS Marketplace listings don't close this gap. Data Sharing & Clean Rooms (generic), AMC Clean Room Accelerator by Publicis Sapient (advertising), and Spectus (mobility data) are not healthcare-specific. The only RWE PS listing is a 4-week POC using Redshift + HealthLake + SageMaker, not a multi-party Clean Rooms collaboration. Slalom, Deloitte, Accenture, EY, PwC sell Clean Rooms advisory off-Marketplace at $250K–$1.5M.

    Architecture deployed. Clean Rooms collaboration workspace (pharma + payer + CRO/provider + consortium); cryptographic isolation. Clean Rooms ML lookalike + predictive without training-data sharing. Analysis templates pre-approved per DUA; DP epsilon budgets; aggregation thresholds. Data layer: parties keep raw in S3 + Lake Formation tag-based governance. Health data: HealthLake FHIR R4; Comprehend Medical de-id; Macie PHI discovery. OMOP CDM (OHDSI) harmonization via Glue. Identity resolution via Clean Rooms (no identifier reveal). Statistical methodology federated (PSM, IPW, DiD, TTE). DP via Clean Rooms ML configurable epsilon. IRB-ready Common Rule (45 CFR 46) templates; 42 CFR Part 2 controls for SUD. FDA 2023 RWE guidance alignment. CloudTrail + Clean Rooms audit logs + S3 Object Lock (7-yr HIPAA). Lake Formation tag-based policies per party. DUA workflow: Clean Rooms membership + collaboration approval (Kriv reviews technical alignment; legal drafting Customer counsel).

    Week-by-week. W1 Scoping + DUA review (party inventory; DUA technical alignment; data inventory; DP budget). W2 Workspace + governance (Clean Rooms setup; party invitation; Lake Formation governance). W3 Ingestion + de-identification (S3 + Lake Formation + OMOP CDM Glue; Comprehend Medical + Macie). W4 Analysis templates + DP config + k-anonymity thresholds. W5 IRB protocols + regulatory alignment (Common Rule; 42 CFR Part 2; FDA RWE memo), Foundation closes (30-day warranty). W6 First collaboration run + DP budget + audit verification. W7 Standard, Clean Rooms ML lookalike + predictive; PSM / IPW / TTE; HealthLake; QuickSight. W8 Standard: production multi-use-case (HEOR + RWE + comparator) (60-day warranty). W9–10 Enterprise , 5+ party consortium; FDA-submission evidence; 90-day hypercare.

    Three tiers. Foundation $125K (6 wk; 2-party pharma+payer HEOR; Clean Rooms ML baseline; Entity Resolution; 1 lookalike model; DP; Common Rule template; 30-day warranty). Standard $200K (8 wk; 3–4 party; multi-use-case HEOR + RWE + comparator; HealthLake + Comprehend Medical; lookalike + predictive; 2 IRB templates; QuickSight; 60-day warranty) for mid-pharma RWE, CRO multi-sponsor, regional consortia. Enterprise $300K (10 wk; 5+ party; FDA 2023 RWE submission evidence; 3+ IRB templates; optional tokenization-vendor integration; 90-day hypercare) for large pharma-payer HEOR, multi-sponsor CRO, AMC research networks. Optional Extra Party $50K each.

    Important disclosures. Kriv does NOT draft legal DUAs (counsel required). NOT a CRO; does not act as Sponsor, Investigator, or Monitor under 21 CFR Part 312. Does NOT issue IRB approval. No legal / regulatory / clinical / actuarial / expert-witness advice. NOT a HIPAA Covered Entity, operates as BA (BAAs required with all in-scope parties). No FDA RWE submission-acceptance guarantee. No IRB-approval outcome guarantee. AWS + Anthropic + Bedrock + Clean Rooms per-run consumption separate. No Clean Rooms API stability guarantee. Anthropic CPN membership does not constitute endorsement.

    Highlights

    • First vertical healthcare Clean Rooms ML PS listing on AWS Marketplace — pharma-payer HEOR + RWE + multi-site clinical research + multi-sponsor CRO federations + payer-provider VBC + AMC consortium research.** HEOR studies that used to take 6–12 months on DUAs now run in 6–10 weeks. Competitors: Datavant + Slalom reference Clean Rooms but sell off-Marketplace at $250K–$1.5M; Aetion / Flatiron / Trinetx are $500K–$5M/yr SaaS platforms with proprietary data-model lock-in.
    • Zero PHI egress between parties, architectural guarantee via AWS Clean Rooms cryptographic isolation + differential privacy + k-anonymity (k ≥ 10 default) + aggregation thresholds per DUA. Clean Rooms ML lookalike + predictive modeling across parties without sharing training data. Clean Rooms Identity Resolution matches identifiers without revealing them. OMOP CDM harmonization via AWS Glue. AWS HealthLake + Amazon Comprehend Medical de-identification + Amazon Macie PHI discovery.
    • IRB-ready Common Rule (45 CFR 46) protocol templates + 42 CFR Part 2 controls for SUD records + FDA 2023 RWE guidance alignment (privacy-preserving computation explicitly endorsed for regulatory submission).** AWS Select + Databricks + Anthropic CPN. Three tiers: $125K Foundation (2-party pharma+payer HEOR pilot); $200K Standard (3–4 party multi-use-case); $300K Enterprise (5+ party consortium + FDA submission-ready evidence + 90-day hypercare). Extra Party $50K each.

    Details

    Sold by

    Delivery method

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    Tell us how we can improve this page, or report an issue with this product.
    Tell us how we can improve this page, or report an issue with this product.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Support

    Vendor support

    Primary contact. info@kriv.ai  · +1-732-433-5564 · https://kriv.ai/support 

    Response SLA. First response within 2 US business days (Mon–Fri 9 am – 6 pm ET, ex-US federal holidays). Active engagements: Engagement Lead within 4 business hours weekdays. Urgent FDA RWE submission or VBC deadline-driven engagements compress to same business day.

    Onboarding SLA. First customer contact within 2 US business days of buyer inquiry / private-offer acceptance. Kickoff within 3–4 weeks of SOW (multi-party DUA + IRB alignment is critical path); 2 weeks for urgent FDA submissions.

    Escalation. (1) Engagement Lead (named in SOW) → (2) Practice Director (info@kriv.ai ) → (3) CEO Abhinav Dangri (info@kriv.ai ).

    Communication. Dedicated Microsoft Teams channel across all parties; weekly 60-min multi-party video checkpoint; Friday written status. Customer SMEs 3–5 hrs/week/party (CSO, VP HEOR, VP RWE, Head of Data Partnerships, CMO, Privacy Officer, GC, IRB liaison, CDO).

    Handoff. Word/Excel/PDF in multi-party secure file share; analysis templates as Clean Rooms query JSON; DP configuration + k-anonymity as JSON; IRB-ready Common Rule templates as Word; FDA RWE alignment memo as Word + PDF; audit trail as CloudTrail + Clean Rooms log exports.

    Out of scope. Does NOT draft legal DUAs (counsel required). NOT a CRO. Does NOT issue IRB approval. No legal / regulatory / clinical / actuarial / expert-witness advice. No FDA RWE / IRB outcome guarantee. No Clean Rooms / Clean Rooms ML API stability guarantee.

    AWS + Anthropic-side billing. AWS infrastructure + Anthropic API + Bedrock Claude consumption separate.

    Holiday coverage. Closed on US federal holidays.