Platform

One system from fragmented records to a reviewable clinical picture

PULSE ingests clinical data, reconstructs the available longitudinal record, models change and forecasts trajectories, grounds findings in medical evidence, and prepares a structured summary for physician review.

How it works

One continuous system

Clinical data enters once and passes through the five core PULSE layers in a single run.

  1. 00

    Clinical data

    Laboratory results, diagnoses, medications, encounters, and notes from the connected sources.

  2. 01

    PULSE Timeline

    The available longitudinal record is normalised into one ordered trajectory.

  3. 02

    PULSE Trajectory

    Change is modelled and biomarkers are projected with uncertainty intervals.

  4. 03

    PULSE Orchestrator

    Specialized medical reasoning and retrieval are coordinated across the case.

  5. 04

    PULSE Evidence Graph

    Findings are linked to supporting observations and medical evidence.

  6. 05

    PULSE Review Loop

    Output reaches the physician as a structured, reviewable trajectory.

Walkthrough

One patient, end to end

The same illustrative case as it moves through a full PULSE run, from the available record to a reviewed finding.

01

Input

What is available in the connected record for one illustrative patient across eight years.

Laboratory results
HbA1c, eGFR, LDL-C, ACR
Diagnoses
Type 2 diabetes 2019 · hypertension 2017
Medications
Metformin · ramipril · atorvastatin
Encounters
24 across 2018–2026
Notes
Annual review and referral correspondence
Missing-data intervals
Aug 2022 – Jul 2023, no laboratory data

02

Reconstructed trajectory

The record is resolved into one ordered trajectory and measured against this patient's own baseline.

Patient-specific baseline
HbA1c 6.2% · eGFR 92 (2018)
Longitudinal change
HbA1c +1.2 points · eGFR −16 over 8 years
Change point
Slope steepens after the 2022–2023 data gap
Data completeness
Laboratory 92% · notes 71%

03

Forecast

Recurring biomarkers are projected forward with uncertainty intervals.

Projected direction
HbA1c rising · eGFR declining
Quantified uncertainty
HbA1c ±0.4 points · eGFR ±5
Contributing observations
Listed per biomarker with dates
Horizon
Set per biomarker from observed history

04

Clinical reasoning

Specialized medical reasoning is coordinated across the case and the output is prioritized.

Prioritized finding
Declining renal function alongside rising HbA1c
Second finding
Lipid panel not repeated after a dose change
Missing information
Retinal screening absent from connected sources
Specialist reasoning
Diabetology and nephrology context applied

05

Evidence

Each finding carries what it was derived from and what supports it.

Guideline
Diabetic kidney disease monitoring interval
Publication
Supplied with the finding, with source link
Record observations
eGFR series 2018–2026, ACR 2024
Provenance
Traceable from finding back to record entry

06

Review

The physician decides, and the decision is retained in structured form.

Confirm
Finding accepted as clinically relevant
Edit
Wording or emphasis corrected by the clinician
Dismiss
Finding rejected, with reason recorded
Add context
Information not present in the connected record
Follow-up
Action and interval recorded per finding

Illustrative patient data

Architecture

Five core PULSE layers, built around clinical time

PULSE combines longitudinal patient representation, predictive modelling, trained orchestration, evidence infrastructure, and physician review.

  1. PULSE TimelineLongitudinal record reconstruction

    Reconstructs the available clinical history across laboratory results, diagnoses, medications, encounters, and notes into one ordered patient trajectory.

  2. PULSE TrajectoryTemporal modeling and forecasting

    Models temporal change and forecasts biomarker development with quantified uncertainty, measured against the patient's own history.

  3. PULSE OrchestratorTrained clinical orchestration

    An internally trained orchestration model coordinates specialized medical reasoning, predictive models, evidence retrieval, and structured output across the patient context.

  4. PULSE Evidence GraphEvidence and provenance

    Connects findings to supporting clinical observations, medical literature, guidelines, and structured medical knowledge.

  5. PULSE Review LoopPhysician review

    Captures physician review, corrections, decisions, follow-up actions, and structured feedback.

Output reaching a clinician is physician-reviewed output: findings include traceable supporting observations and relevant medical evidence.

Interface

Designed for clinical review

Patient context, the reconstructed trajectory with its forecast, and the inspector where a finding is confirmed, corrected, or dismissed.

PULSE · patient trajectory

Interactive · Case 04-118

Select a view, then trace the prioritised finding to its source or physician-review step.

HbA1c %

observed 2018–2026 · projected to 2028

6.07.08.0no lab datanow201820202022202420262028
observed forecast uncertainty ±0.4
  • 2019DiagnosisType 2 diabetes
  • 2024DiagnosisMicroalbuminuria
  • 2025MedicationRamipril increased
  • 2022–23Gap11 months without laboratory data

Illustrative patient data

Integration

How PULSE deploys

Data exchange
FHIR-compatible clinical data exchange and structured ingestion for laboratory and record exports.
Deployment
Deployment is configured around the organization's clinical, technical, and data-governance requirements.
Workflow
PULSE is designed to run alongside existing clinical systems and deliver output into an agreed physician-review workflow.

Pilot path

From use case to controlled pilot

  1. 01

    Define the clinical use case

    Agree the clinical question, the patient population, and the review step where output is used.

  2. 02

    Connect historical data

    Establish the agreed data exchange and validate ingestion against real record structures.

  3. 03

    Run retrospective analysis

    Apply PULSE to historical cases from the organization's own record.

  4. 04

    Conduct physician review

    Clinicians review the output against the cases they already know.

  5. 05

    Launch a controlled pilot

    Operate in a defined clinical workflow with agreed success criteria.

Walk through PULSE with your clinical team

PULSE is designed to support qualified healthcare professionals and does not replace clinical judgment.