Draft View source ↗

Draft Privacy Impact Assessment for AI-Powered Healthcare Patient Engagement Platform

Healthcare & Life SciencesprivacyHIPAAAI-governancePIAdata-protectionpredictive-analyticsFTCstate-privacy-lawvendor-management

Instructions

Draft a privacy impact assessment for the attached health system's deployment of an AI-powered patient engagement and predictive analytics platform based on the provided source documents. Output: `privacy-impact-assessment.docx`.

Work type: Draft — Produce a legal document such as a contract, motion, or client letter.

Deliverables (1)

privacy-impact-assessment.docx

Reference documents (9)

DOCX
careinsight-model-card.docx
48.5 KB
Open
DOCX
careinsight-system-description.docx
57.4 KB
Open
DOCX
data-processing-addendum.docx
50.3 KB
Open
DOCX
de-identification-certification.docx
43.6 KB
Open
EML
go-live-readiness-email-chain.eml
21.7 KB
Open
DOCX
meridian-security-assessment.docx
66.2 KB
Open
DOCX
myridgeline-app-tos-consent.docx
50.7 KB
Open
DOCX
ridgeline-luminara-baa.docx
48.3 KB
Open
DOCX
ridgeline-npp.docx
45.5 KB
Open

Preview renders .docx and .pdf in-page via SuperDoc; bytes are fetched on demand from the pinned upstream harvey-labs commit. Open takes you to GitHub for any file type.

Rubric (59)

Each criterion is judged independently as pass or fail. The task scores 1.0 only if every criterion passes.

59 of 59 criteria