HEALTHCARE

Anticipating the reaction
before it hits.

Hospitals, laboratories, health authorities, insurers: test your clinical, communication and organizational decisions on coherent populations of patients, caregivers and citizens, before implementation.

THE THESIS — CARDINAL PROMISE

A healthcare decision is never purely medical. It is received, understood, contested, applied, or not, by populations that do not react the way clinical studies predict.

Our system lets you test that reception before you commit your credibility or your resources.

CASE STUDY — NATIONAL HEALTH AUTHORITY

“ How do you revive MMR vaccination coverage in lagging regions without triggering national polarization? ”

Simulated on 2.4 million parents of children aged 12-24 months · 18 typologies of vaccine hesitancy identified · 34 communication formats tested

Three regions are experiencing a continuous decline in MMR (measles-mumps-rubella) coverage: coverage fell from 91% to 76% over five years, below the herd-immunity threshold. The cause is multiple: post-COVID vaccine hesitancy, distrust of health authorities, a changing relationship to parenthood.

The authority must decide: a firm national campaign, a targeted regional campaign, or an approach through primary-care physicians? With what message? Without reawakening the anti-vaccine movements waiting for the slightest spark.

What the system revealed

The rejection is not ideological, it is experiential.

Contrary to the dominant narrative, only 8% of hesitant parents are convinced anti-vaxxers. 74% have experienced degraded care (a missed appointment, insufficient listening, contradictory information) which they project onto vaccination. The message must address this experience, not the ideological debate.

A firm national campaign worsens the situation in 4 of 12 regions.

In already polarized regions, a firm national statement triggers a Streisand effect: coverage drops a further 3 to 7 points. What works at the national level works exactly the opposite way in high-distrust regions. A uniform plan is counterproductive.

Primary-care physicians are the only cross-cutting channel.

The only messenger who gets a favorable hearing across all 18 typologies of hesitant parents is the primary-care physician. Not authorities, not celebrities, not expert scientists. A strategy that equips primary-care physicians with adapted dialogue tools achieves +23 points of coverage in 18 months.

What Imagine All The People did that no one else could have done

Our system individually interviewed 4,800 synthetic parents spread across the 18 identified hesitancy typologies, tested 34 communication formats (spots, posters, physician letters, interview dialogues), and projected effects over 24 months in each region. The “primary-care physicians + dialogue kit” strategy proved dominant in 11 of 12 regions.

No quantitative research institute can test 34 formats on 4,800 distinct profiles. No qualitative panel can project over 24 months. No AI persona tool can differentiate 18 typologies with this granularity.

PROJECTED VACCINATION COVERAGE
76% → 89%at 18 months with recommended strategy
NATIONAL POLARIZATION RISK
−67%
COST OF A MISTARGETED CAMPAIGN
+EUR 12Mto return to 91% if the strategy is unsuitable

APPLICATIONS

Three uses for the healthcare sector.

Health communication & prevention

Test prevention messages, screening campaigns, health announcements before release. Identify segments that adhere, those that resist, and the pivot levers to avoid polarization.

Anticipating exceptional events

Model population behavior in the event of a pandemic, heatwave, food contamination, or climate event. Test crisis-management scenarios before they occur, calibrate mobilization messages.

Acceptability of care & adherence

Anticipate the reception of a new protocol, an innovative treatment, a change in access to care. Understand therapeutic adherence friction by patient segment, before deployment.

METHODS

Three ways to test a decision.

Comparing what a synthetic-population simulation brings against existing methods.

AI PERSONASTRADITIONAL SURVEYSIMAGINE ALL THE PEOPLE
SCALE
5 to 10 fixed personas500 to 2,000 respondentsUp to 10 million coherent individuals
DYNAMICS
Frozen characteristicsPre-written questions, static answersAgents that ask, probe and brainstorm
TIME HORIZON
Assumed current stateSnapshot of the presentProjection of future consequences
DEPTH
One synthetic answerAggregated statistical tablesIndividual dialogue + collective analysis
DATA & SOVEREIGNTY
Limited demographic data · US public cloudPersonal data collected at scale · Public cloudZero personal data · Infrastructure in France · On-premise possible

OTHER CASES

Three other decisions tested in the sector.

LABORATORY — DRUG LAUNCH

“How do you launch a new hypertension treatment without it being perceived as ‘one more pill’?”

Simulated on 1.8 million hypertensive patients treated for > 3 years · 22 profiles of relationship to medication

The rejection is not about efficacy: patients trust their doctor. The rejection is about fatigue: adding a treatment means acknowledging that previous ones failed. Repositioning it as “simplification” rather than “addition” transforms how it is read.


“ONE MORE PILL” SENTIMENT
71% → 24%
PHYSICIAN ADHERENCE INTENT
+38 pts

HOSPITAL — PROTOCOL CHANGE

“How do you roll out a new emergency-care protocol without triggering resistance from care teams?”

6 rollout scenarios tested · 31 dynamic follow-ups on resistance points identified in real time

Caregiver resistance is not about the protocol: it is about the rollout pace. An 8-week rollout triggers blockages. A 6-month rollout with peer-led training (not management-led) achieves adherence without degrading interim quality.


CAREGIVER ADHERENCE
34% → 78%
TIME TO STABLE QUALITY
halved

AUTHORITY — PANDEMIC SCENARIO

“Anticipating population behavior in the face of a moderate epidemic resurgence.”

Projection over 12 weeks of behavioral evolution · 9 profiles of relationship to health risk

The population does not wait for official announcements to act. In 5 of 10 regions, self-regulation precedes measures by 8 to 14 days. Messages that validate this self-regulation achieve higher adherence than those that get ahead of it: same content, opposite effect.


ADHERENCE TO MEASURES
+42 pts
REPORTED FATIGUE
−28 pts
See all cases in this industry →

METHOD — HEALTHCARE

A fifteen-minute study.

How a test runs on our system, from the brief to the delivered study.

1

You formulate your decision

A question in plain language, phrased the way you would phrase it in the executive committee. No formalism required.

2

The system builds the populations

Target segments are reconstructed from public aggregates and industry data. No personally identifying data enters the system.

3

The agents interview, discuss, brainstorm

The system runs the interviews itself, probes friction points, and proposes alternative scenarios you had not considered.

4

You explore the study

You talk with individual voices, challenge the reasoning, change the decision and watch the impact in real time.

See the technical documentation →

Your next decision

Which decision do you want to explore?

Describe your need. We can point you to the right level of support.

What if you tested
your next decision?

State your decision. See the future it produces.

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