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Designed to compress review time, with the decision trail to show it.
What changes when donor screening, eligibility, and release run on a system of record instead of calls, PDFs, faxes, and spreadsheets. The claims below describe how DonorIQ is designed to perform. Per-customer numbers depend on workflow, SOPs, and starting baseline.
01 / What changes
Four shifts, every one human-in-the-loop.
- Cycle time
- Days to hours
- MD review
- Cited summary, not a raw case PDF
- Recorded decision trail
- Reconstruct any case
- Workload
- Fewer cases land incomplete
Eligibility and release decisions move from multi-day paper chases to same-shift sign-off, because every input is structured and every flag is cited.
Medical directors open an AI-generated case summary with every claim linked back to source. They confirm, override, or escalate, then sign.
Every AI recommendation, citation, reviewer action, and electronic signature retained. Case review becomes evidence retrieval, not archaeology.
Partner Portal validation and SOP-driven intake catch missing fields before the case ever reaches QA or the medical director.
02 / Ingestion
Bring donor records in any format you have.
From your existing systems
DonorIQ reads donor records from custom EHRs and donor-management platforms via API or scheduled pull. Generic categories, no vendor lock-in: tissue tracking systems, recovery coordination platforms, LIS and serology systems, homegrown databases.
PDF data dump
Drop multiple PDFs per case: DRAI, serology panels, physical assessment, partner notes. DonorIQ identifies, parses, and links each one to the donor record under one chain of custody.
Consolidated donor chart
Upload one merged donor chart and DonorIQ separates it into structured sections per tissue type and SOP requirement, so QA does not have to keep flipping pages to find what they need.
The win is days to hours — auditable, with citations on every claim. We do not promise instant.
03 / Hallucinations
What about hallucinations?
Every AI-surfaced value is a citation back to the exact source page in the donor record, the SOP, or the regulatory clause. Reviewers open the citation, confirm or override, and sign. Low-confidence extractions are flagged as PARTIAL, never silently inferred into a reviewed field.
The platform records both the AI output and the human decision against it. The model never makes a release decision alone. That is the design choice that gives the medical director and QA a complete, reviewable record.
04 / Deployment & data
Your data, your tenant. Or your environment.
DonorIQ Cloud
Single-tenant managed deployment per customer. Built for tissue banks, eye banks, and OPOs without a dedicated IT or DevOps team. We run it, you use it. Each customer is fully isolated in their own tenant.
DonorIQ in your environment
Deploy DonorIQ inside your own infrastructure. Donor data never leaves your boundary. For customers with mature IT and a preference to keep PHI fully on-premise or in their own cloud account.
Customer data is not used to train shared models. Each customer's data stays inside their tenant in DonorIQ Cloud, or fully inside their own environment. DonorIQ is architected to HIPAA and SOC 2 standards, with formal third-party audits in progress.
05 / How we measure a pilot
What a structured evaluation tracks.
A DonorIQ pilot compares a defined set of donor cases processed through the platform against each customer's own baseline workflow. Every metric is compared against that customer's pre-pilot data — not an industry average.
- Baseline review time
- How long a case takes from intake to medical director sign-off in the current workflow, before DonorIQ.
- Incomplete-case rate
- How often a case arrives at QA with missing fields or documents that require back-and-forth to resolve.
- Reviewer override rate
- How often a qualified human changes, escalates, or overrides the AI-surfaced recommendation. Tracked so reviewers — not the model — stay in control.
- Citation coverage
- How many AI-surfaced findings are linked back to a specific source page, SOP clause, or regulatory section.
- Time to MD sign-off
- Time from a complete case reaching the medical director queue to electronic signature.
- Per-customer baseline
- Results are compared against each customer's own pre-pilot baseline. No universal benchmark applies across different workflows and starting points.
06 / What DonorIQ does not promise
What to expect — and what not to.
Not instant
DonorIQ compresses review time by structuring inputs and surfacing cited evidence. It does not eliminate the time required for qualified human review and sign-off.
Not autonomous release
The model never makes a release decision alone. Every eligibility recommendation requires medical director review and electronic signature before any case is released.
Not a substitute for SOPs or clinical judgment
DonorIQ matches against your SOPs and flags deviations. The qualified human reads the citations, confirms or overrides, and signs. SOPs and reviewer judgment take precedence over any AI output.
Not a universal guarantee
Results depend on workflow, SOPs, and starting baseline. Exact improvements vary. We measure against each customer's own pre-pilot data and are transparent about what the numbers reflect.
Talk to our team
Tell us about your donor screening workflow.
30 minutes, no slides. Bring your SOPs, your stack, and the stage that hurts most. We will tell you honestly whether DonorIQ is the right fit.