Solutions

For organisations accountable for outcomes over time

PULSE is built for care models where the patient's direction of travel — not the last value — determines the clinical and financial result.

From population responsibility to patient-level review

Figure 01
  1. Population responsibility
    01

    The organisation is accountable for outcomes across a defined patient population over years.

  2. Trajectory reconstruction
    02

    PULSE reconstructs each available longitudinal record into one ordered patient trajectory.

  3. Trajectory-based prioritisation
    03

    Patients whose trajectory is moving away from their own baseline surface for closer attention.

  4. Patient-level review
    04

    A physician reviews the trajectory, the supporting observations, and the linked evidence, then records a decision.

PULSE sits between the population an organisation is accountable for and the individual review where a decision is actually made. Band widths are illustrative proportions, not patient counts.

Primary commercial focus

Risk-bearing primary care

PULSE helps organisations responsible for long-term outcomes reconstruct patient context, identify emerging longitudinal risk, prioritise clinical review, and connect findings to evidence.

Buyer

Provider groups, ACOs, and multisite care networks that carry clinical and financial accountability for a defined population over years rather than visits.

Operational problem

Chronic risk develops continuously while the record captures isolated events. By the time a threshold is crossed, the change has usually been visible in the record for months, spread across laboratories, encounters, and notes that were each read in isolation.

Patient-review workflow

PULSE prepares the patient trajectory ahead of the review step the organisation already runs — annual review, chronic-care follow-up, or pre-visit preparation — so the clinician starts from a reconstructed history rather than a search.

What PULSE contributes

  • Emerging chronic-risk progression
  • Repeated abnormal results
  • Care gaps
  • Patient-review prioritisation
  • Physician time allocation
  • Cross-site consistency

Organisational value

  • Longitudinal deterioration surfaced while it is still actionable
  • Limited clinical capacity directed toward the patients who need it
  • The same review structure applied across clinicians and sites
  • Findings retained with the observations and evidence behind them

Example pilot structure

  1. 01

    Population

    One defined cohort with several years of connected record history.

  2. 02

    Retrospective run

    PULSE is applied to historical cases the clinical team already knows.

  3. 03

    Physician review

    Clinicians adjudicate findings, corrections, and missed information.

  4. 04

    Controlled pilot

    Output enters one agreed review step with defined success criteria.

Also served

Other care and research models

Longitudinal-care networks

Programmes built on repeated measurement need a consistent way to read those measurements as trajectories rather than as a stack of results.

  • Repeated measurements resolved into one trajectory per biomarker
  • Biomarker trajectories with quantified uncertainty
  • Standardised review structure for every consultation
  • Cross-site consistency across a growing network
  • Follow-up prioritisation based on direction of travel

Clinical research and validation

Research partners use PULSE as a longitudinal analysis layer over real-world cohorts, and as a system under evaluation in its own right.

  • Longitudinal cohort analysis
  • Retrospective evaluation on held-out data
  • Medical AI benchmarking against defined comparators
  • Physician adjudication of model output
  • Joint technical reports where agreed

Tell us about your clinical workflow

We start from the population you are accountable for and the review step where the output would be used.