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Tempus AI TIME / TriHealth Cancer Institute

Verified evidenceCreator to judge

Population-scale matching with rapid activation

Continuous population screening can connect eligible patients to a standardized activation lane.

Healthcare screening · United States

Collections: Regulated autonomy

An editorial scene for Tempus AI TIME / TriHealth Cancer Institute contrasts screens available patients against non-time trial criteria and confirms possible eligibility. with re-runs eligibility searches when patient data or trial criteria change and produces candidate matches. in the population-scale matching with rapid activation workflow.

Executive brief

The operating-model shift, in one view.

The unit is a human-confirmed match connected to a pre-negotiated activation lane.

AI value · Trial activation time

Verified

37 days TIME; 80% reduction

Journal of Clinical Oncology conference supplement abstract, not a full peer-reviewed article; nonrandomized comparison and bundled operating-model change.

Before

Screens available patients against non-TIME trial criteria and confirms possible eligibility. → Negotiate trial terms and complete conventional activation.

After

Re-runs eligibility searches when patient data or trial criteria change and produces candidate matches. → Nurse reviews algorithmic matches; site staff perform confirmatory screening before consent.

Human boundary

Humans confirm eligibility and consent; AI only proposes candidates.

Why it matters

Continuous population screening can connect eligible patients to a standardized activation lane.

How the work changed

Before

How the work ran before the change.

  1. Step 1 of 2

    TriHealth research staff

    Screens available patients against non-TIME trial criteria and confirms possible eligibility.

    ControlHuman clinical confirmation; the comparison reports 186-day non-TIME activation but not each queue stage.

  2. Step 2 of 2

    Site contracts and IRB teams

    Negotiate trial terms and complete conventional activation.

    ControlSite, sponsor and IRB approvals remain required.

What changed

Continuous population screening can connect eligible patients to a standardized activation lane.

Decision rightHuman moves from creator to judge

After

How the same work runs now.

  1. Step 1 of 2

    TApp

    Re-runs eligibility searches when patient data or trial criteria change and produces candidate matches.

    ControlNLP match only; site capability and recency filters bound the queue.

  2. Step 2 of 2

    Tempus nurse and TriHealth staff

    Nurse reviews algorithmic matches; site staff perform confirmatory screening before consent.

    ControlPre-negotiated rate card/agreement and central IRB are bundled with AI; patient consent remains human.

Process model built from the published workflow evidence for Tempus AI TIME / TriHealth Cancer Institute. Every step, actor, and control appears in full below.
Every step, actor, and control

Exception path

Filtered or clinically ineligible matches are discarded.

Work removed

  • Manual first-pass population search

Decision authority

Humans confirm eligibility and consent; AI only proposes candidates.

Before

  1. 01

    TriHealth research staff

    Screens available patients against non-TIME trial criteria and confirms possible eligibility.

    Control: Human clinical confirmation; the comparison reports 186-day non-TIME activation but not each queue stage.

  2. 02

    Site contracts and IRB teams

    Negotiate trial terms and complete conventional activation.

    Control: Site, sponsor and IRB approvals remain required.

After

  1. 01

    TApp

    Re-runs eligibility searches when patient data or trial criteria change and produces candidate matches.

    Control: NLP match only; site capability and recency filters bound the queue.

  2. 02

    Tempus nurse and TriHealth staff

    Nurse reviews algorithmic matches; site staff perform confirmatory screening before consent.

    Control: Pre-negotiated rate card/agreement and central IRB are bundled with AI; patient consent remains human.

Work that left the path

  • Manual first-pass population search

Human role before

Research staff screened patients against trial criteria, while site contracts and IRB teams completed activation handoffs; investigators retained eligibility and consent decisions.

Human role after

Tempus nurses and site staff confirm eligibility; patients consent; IRB and contracts govern activation.

AI roleRe-runs NLP eligibility searches when patient or protocol data changes.

Outcomes

Trial activation time

Verified

186 days non-TIME37 days TIME; 80% reduction

2022-01 to 2023-03 · 18,823 patients; 135 trials; 8.65 million searches

Journal of Clinical Oncology conference supplement abstract, not a full peer-reviewed article; nonrandomized comparison and bundled operating-model change.

What leaders can reuse

Anti-pattern

Do not attribute bundled contracting gains solely to AI.

Questions

  1. 01Where is the operating threshold set and who can override it?
  2. 02What measured result would trigger rollback or retraining?
  3. 03Which residual decisions must remain human-owned?

Portability conditions

  • Integrated clinical data
  • Nurse review
  • Central IRB

Reputation risk

low

Evidence and authority

What the public record supports.

Current · updated

1 independent; publication outcomes are verified.

Bundle 1.0.0 · reviewed 2026-08-23 · stable ID 1f75e0019e001676

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Sources

Read the evidence, freshness, caveat, and version policy.