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Layer 19 of 21 · Longitudinal intelligence

EvidencePulse Continuous evidence monitoring.

Oncology evidence moves quickly: new approvals, updated guidelines, new trials and reclassified variants. EvidencePulse is intended to identify relevant changes in evidence since the previous review, so the treating team can decide whether reassessment is warranted.

Why it's needed

What relevant evidence has changed since the previous review?

Notice of evidence changes relevant to findings already reviewed.

What it draws on

2 of 8 evidence domains.

Evidence ecosystemMolecular & genomicThe case's existing findings, compared against updated evidence sources.

What it produces

Evidence updates or notifications consistent with the live workflow.

Explain the actual evidence sources, update cadence and method for surfacing relevant changes.

Why it's essential

Layer 19 of 21.

Prompts reassessment within the longitudinal view when new evidence arrives.

1 · What it does

What EvidencePulse does

Oncology evidence moves quickly: new approvals, updated guidelines, new trials and reclassified variants. EvidencePulse is intended to identify relevant changes in evidence since the previous review, so the treating team can decide whether reassessment is warranted.

2 · Scientific question

The question it addresses

What relevant evidence has changed since the previous review?

Intended function

Explain the actual evidence sources, update cadence and method for surfacing relevant changes.

3 · Data inputs and required context

What it draws on

  • 08 Evidence ecosystem
  • 01 Molecular & genomic

The case's existing findings, compared against updated evidence sources.

4 · Scientific basis

The science behind it

Scientific basis

Evidence monitoring re-checks findings against updated sources at a defined interval or trigger. Its value depends on which sources are monitored and how often.

5 · Output and evidence sources

What it produces

Main output

Evidence updates or notifications consistent with the live workflow.

Output type

  • Evidence-linked interpretation. Connects a finding to published or curated evidence, which has a source and a date.
  • Twin workflow function. Part of how the Twin is created, reviewed or updated, rather than an analytical result.

6 · Why it\u2019s essential

How it powers the Twin

Prompts reassessment within the longitudinal view when new evidence arrives.

Report section

Capability

Follow

Revisit the picture as new findings and evidence become available.

7 · Why it\u2019s needed

What it changes — for doctors, patients and researchers

Clinicians

Notice of evidence changes relevant to findings already reviewed.

Doctor & Clinical Team

Patients & caregivers

Knowledge changes over time; the Twin is designed to revisit the evidence.

Patient & Caregiver

Researchers

How the evidence for specific alterations changes over time.

Industry & Research

8 · Dependencies and limitations

Limitations

  • Evidence sources are checked on a published cadence, and each update shows when it was checked.
  • A change in evidence is surfaced for review; it does not change the patient's care by itself.

9 · Review and uncertainty

How the output is handled

Output status

An AI-assisted analytical output presented as structured findings for clinician review. It becomes part of a report only after the treating oncologist has reviewed and signed it.

How uncertainty is communicated

Updates state the source, its date and the date it was checked.

10 · Claim boundary

What this layer does not establish

It does not guarantee that every relevant new publication or approval is captured.

The treating oncologist owns every decision. Every Twin report is reviewed and signed by the treating oncologist, then taken to KPCIRC's Molecular Tumour Board.

KPCIRC sign-off process

Continue the journey

Longitudinal monitoring

Every change goes in.

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