Product B · Intelligence platform

Every patient journey becomes real-world evidence

Cohorta SignalMap is a cloud-based analytics dashboard turning anonymized aggregate signals into strategic intelligence, for the entire health ecosystem: pharma, medical centers, payers, government, health funds and researchers, in Israel and worldwide.

Eight intelligence layers by designAggregate & anonymized · no PIIk≥10 cohort floor
k≥10 · Anonymized
Active patients▲ 8.4%
0
MRD-negative▲ 11.2%
0
Targeted shift▲ 6.0%
0%
Intervention signals▼ 3.2%
0

Treatment adoption over time

targeted · fixed-duration · chemo

Patient journey, stages

Diagnosis
0
Watch & wait
0
Treatment init
0
Active treatment
0
MRD-negative
0
Remission
0
Follow-up & relapse
0

Unique patients per stage · k≥10 · aggregated, anonymized

Geographic footprint

planned coverage · illustrative

HaifaTel AvivJerusalemRamat GanAshdodBeer Sheva

Concern matrix

symptom × emotional state (intensity 0–100)

AnxietyLow moodIsolationHope
Fatigue
86
62
48
30
Infections
70
44
66
22
Neutropenia
58
40
52
26
Nausea
50
36
30
34
Pain
64
55
42
28

Journey signals

sample anonymized stream

Lymphocyte doubling velocity rising, W&W cohort3s
Treatment transition: chemo → targeted10s
MRD-negative milestone reached17s
Recurring question: fatigue management24s
Reported AE: neutropenia (mild)31s
Emotional distress detected, routed to support38s

Platform preview · illustrative sample data

Product preview

The dashboard we are building, illustrated

This is how the product experience is designed: aggregate, anonymized intelligence across every journey stage, with no PII, a k≥10 floor and differential privacy. The figures shown are illustrative sample data, not real patients.

k≥10 · Anonymized
Active patients▲ 8.4%
0
MRD-negative▲ 11.2%
0
Targeted shift▲ 6.0%
0%
Intervention signals▼ 3.2%
0

Treatment adoption over time

targeted · fixed-duration · chemo

Patient journey, stages

Diagnosis
0
Watch & wait
0
Treatment init
0
Active treatment
0
MRD-negative
0
Remission
0
Follow-up & relapse
0

Unique patients per stage · k≥10 · aggregated, anonymized

Geographic footprint

planned coverage · illustrative

HaifaTel AvivJerusalemRamat GanAshdodBeer Sheva

Concern matrix

symptom × emotional state (intensity 0–100)

AnxietyLow moodIsolationHope
Fatigue
86
62
48
30
Infections
70
44
66
22
Neutropenia
58
40
52
26
Nausea
50
36
30
34
Pain
64
55
42
28

Journey signals

sample anonymized stream

Lymphocyte doubling velocity rising, W&W cohort3s
Treatment transition: chemo → targeted10s
MRD-negative milestone reached17s
Recurring question: fatigue management24s
Reported AE: neutropenia (mild)31s
Emotional distress detected, routed to support38s

Product preview · sample data for illustration, not real patients

How it works

Eight intelligence layers, into one anonymized pipeline

The patient app emits consented anonymized events → an aggregation layer enforces k≥10 and differential privacy → aggregate dashboards. The same pipeline covers every journey stage.

01

Event emission

The companion app emits consented anonymized signals: symptoms, emotional state, adherence and measures, continuously, with no identifiers.

02

Aggregation & privacy

An aggregation layer enforces a k≥10 floor, strips PII and adds differential-privacy noise (ε=1.0) before any computation.

03

Journey intelligence

Mapped to journey stages: diagnosis, watch & wait, treatment init, active treatment, MRD-negative and retreatment, as one longitudinal spine.

04

Dashboards & decisions

Real-time aggregate dashboards, by role and by org, strategic intelligence exportable to standard formats.

Core capabilities

Intelligence that lives and breathes, across the whole journey

Early-Intervention Engine

Catch the signal before the event

Lymphocyte doubling, hemoglobin decline and iwCLL triggers, prioritizing who to reach first.

Patient journey

Longitudinal stage funnel

Diagnosis
0
Watch & wait
0
Treatment init
0
Active treatment
0
MRD-negative
0
Remission
0
Follow-up & relapse
0

Unique patients per stage · k≥10 · aggregated, anonymized

Treatment adoption

Targeted · fixed-duration · chemo

Voice of patient

Paraphrased, never verbatim

Aggregate concerns, needs and questions, re-phrased and de-identified, no direct quotes, no single-patient identification.

Safety & adverse events

Pharmacovigilance signals

AnxietyLow moodIsolationHope
Fatigue
86
62
48
30
Infections
70
44
66
22
Neutropenia
58
40
52
26
Nausea
50
36
30
34
Pain
64
55
42
28
Geographic footprint

Israel & international

HaifaTel AvivJerusalemRamat GanAshdodBeer Sheva
MRD-negative intelligence

The deep-remission journey

Tracking cohorts that reached MRD-negative, remission duration, quality of life and early retreatment signals.

Comparative effectiveness

Pathway vs pathway, real-world

Comparing outcomes, persistence and switching across pathways, aggregate evidence to support decisions.

Retreatment intelligence

When the journey restarts

Detecting relapse patterns and retreatment need, leading signals that enable planning ahead.

Why Cohorta SignalMap

Evidence born from a relationship, not bought from a broker.

What sets SignalMap apart is where the data comes from. The evidence is born from a continuous, consented relationship with the patient, through Along, not bought from data brokers, pulled from insurance claims, or collected in a one-off survey.

Continuous, not a snapshot

Signals are captured continuously across the whole journey, building a true longitudinal picture of what actually happens to patients, not a stale record or a single survey.

Consented, privacy-first

Every signal is explicitly consented, anonymized and aggregate. Raw data is never sold, a k≥10 floor and differential privacy, not data brokerage.

Voice of patient, not just numbers

Behind the numbers are people. SignalMap surfaces concerns, needs and experience too, paraphrased and de-identified, the human reality behind the data.

Who it serves

One anonymized intelligence, for the whole health system, in Israel and worldwide

Every organization sees the same aggregate, anonymized population picture, no org ever sees another’s private cohort.

Pharma & life sciences

Real-world evidence on treatment adoption, persistence, switching and outcomes across the patient journey.

Strategic population intelligence for Medical, HEOR, Market Access and MSL teams.

Medical centers & hospitals

Operational clinical intelligence for care teams, who to call first, where the risk is, how to prioritize.

Adherence, safety, iwCLL quality and trial enrollment, without exposing patient identity.

Insurers & payers

Real cost-effectiveness, utilization patterns and outcomes, an evidence base for coverage decisions.

Support for value-based care and basket / coverage negotiation.

Government health departments

Aggregate population view for policy-making, resource planning and national quality assessment.

Aggregate, anonymized, regulation-aligned data, in Israel and worldwide.

Health funds (Kupot Holim)

Insights into the member journey, early intervention and patient-experience improvement across the continuum.

Flag patients at risk of deterioration before their next visit.

Researchers & academia

Longitudinal, anonymized, precise cohorts for real-world outcomes research questions.

PRO, treatment journey and outcomes, a real-world evidence engine.

k≥10 · Anonymized · DP ε=1.0

Privacy & compliance, built in

Explicit per-category consent. No PII in any table. No drill-through to a single patient. A k≥10 cohort floor and differential privacy (ε=1.0). Every dashboard access is logged. Consent revocation purges data within 24 hours. Tenant isolation: one org never sees another’s private cohort, all see the same anonymized population.

Per-category consentNo drill-throughFull access loggingTenant isolation
0%
anonymized & aggregate
0
PII fields
0+
cohort floor (k)
0h
purge on revocation
Architecture

A cloud analytics dashboard, not a medical device

Cohorta SignalMap is a cloud-based web application. To be honest and direct: it is an analytics dashboard, not a medical device and not an individual diagnostic tool.

Multi-tenant with RLS

Row-level security and full tenant isolation between organizations.

Event-driven telemetry

Real-time anonymized event ingestion from the patient app into the processing layer.

Aggregation: k-anonymity + DP

Enforcing a k≥10 floor and differential privacy before any output, at the pipeline core.

Role-based access control

RBAC by role and org, with full logging of every dashboard access.

White-label theming

Per-org branding with a built-in Hebrew/English (RTL/LTR) toggle.

Export & portability

Export to standard formats; deployable for Israeli and international orgs.

Ready to turn signals into evidence?

A pilot, a research partnership, or an enterprise rollout, we’d love to build it together.