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MEDISCAN

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Snowflake2026-01-21 更新2026-01-22 收录
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Health information teams spend thousands of hours annually digitising clinical documents by hand. The alternative, routing PHI through generic cloud extraction APIs, creates compliance risk and requires additional data processing agreements. MEDISCAN eliminates both problems. MEDISCAN is a Snowflake Native App purpose-built for healthcare document processing. Upload medical PDFs or scanned images, extract structured clinical data, review uncertain results, and query the output, all without data leaving your Snowflake account. ## **How it works** 1. Upload PDFs or scanned images to the MEDISCAN stage in your Snowflake account 2. The extraction model identifies key clinical fields and assigns a confidence score to each document 3. Documents meeting your accuracy threshold are written directly to a structured results table 4. Documents below threshold enter a guided review queue where staff verify and correct fields before data is committed 5. Extracted data is immediately queryable in Snowflake, ready for integration with eMR systems, data lakes, or analytics platforms ## **Extracted fields** Patient name, MRN, date of birth, facility, attending clinicians, document type, date of document, admission date, discharge date ## **Supported document types** Discharge summaries, referral letters, admission notes, progress notes, pathology reports, imaging reports, medication administration records **Key capabilities** - Zero data egress: PHI never leaves your Snowflake account. No external API calls, no third-party data processors - Purpose-built for clinical records: Extraction model trained and maintained specifically on Australian healthcare document types - Configurable accuracy thresholds: Set global or per-document-type confidence thresholds. A discharge summary and a pathology report can have different tolerance levels - Human-in-the-loop review: Low-confidence extractions are held for human review before entering your dataset - Audit log with PHI redaction: Every action is logged. Patient identifiers are automatically redacted from audit entries - Validation rules: Enforce Australian date formats (DD/MM/YYYY), required fields, and identifier patterns. Documents failing required field checks route to review regardless of accuracy score - Duplicate detection: Automatic flagging of potential duplicate documents - Analytics dashboard: Processing volumes, accuracy trends by document type, facility distribution, and review queue monitoring - CSV and XLSX export: Download extract table data for downstream reporting ## **Compliance** Full audit trail with extraction accuracy scores, review status, and reviewer identity. Supports ACHS EQuIP accreditation, NSQHS Standards documentation requirements, and Australian Privacy Principles alignment. ## **Pricing** $0.10 per page processed. No minimum commitment, no monthly subscription. ## **Get started** Install MEDISCAN and process your first document in under 5 minutes. Free 7-day trial included. Built by a former NSW Health medical records professional and current resident of the Cicada Innovations HealthTech Hub at the Westmead Health Precinct.
提供机构:
Root Cause Analytics
创建时间:
2025-11-23
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