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TGMNI

The Global Medical Network Initiative helps approved institutions learn from fragmented emergency, care and outcome data — without turning people into products.

Governance before scale. Privacy before intelligence.

TGMNI — Pioneering governed medical intelligence

Governed Medical Intelligence

Medical protection shield within a governed intelligence network

Across health systems, valuable knowledge is often trapped in disconnected notes, handovers, follow-up records and local datasets. TGMNI helps approved institutions structure authorised, de-identified learning without exposing the person.

Program Category Institutional
Insight Layer

Engineered for
responsible insight

C

Clinical context

Preserve the meaning around an outcome.

TGMNI retains approved context such as the presenting situation, care pathway and relevant factors — within strict purpose and access boundaries.

  • Purpose-limited access
  • Care context
  • Role boundaries
  • Reviewable use
O

Outcome notes

Turn fragmented follow-up into reviewable evidence.

Where consent, law and institutional governance allow, structured outcome information can help approved partners understand what happened after the initial emergency or care interaction.

  • Approved follow-up
  • Outcome structure
  • Consent boundaries
  • Partner review
L

Learning layer

Reveal patterns that isolated records cannot show.

De-identified, quality-controlled information may help institutions identify unmet needs, compare pathways, improve service design and prioritise research questions.

  • De-identification
  • Structured patterns
  • Safer learning
  • No public tracking
G

Governance

No intelligence without defined purpose and control.

Every TGMNI use case requires an approved purpose, lawful basis, data-minimisation plan, institutional owner, access boundary, human oversight, security assessment and documented review route.

  • Partner approval
  • Access boundaries
  • Responsible AI limits
  • Audit trail

Learning from fragmented moments,
without exposing identities.

The ambition is not to replace clinicians or create an autonomous medical authority. It is to help the medical world learn from outcomes that are currently too fragmented, inconsistent or inaccessible to improve systems at scale.

Responsible AI

InsightNot Surveillance

Analytics shield connected to a governed institutional network

Insight support, never autonomous clinical authority.

THE TGMNI INSTITUTIONAL SUITE

The foundation for governed medical learning at scale.

TGMNI connects approved clinical context, outcomes, integrations, intelligence and governance within one controlled institutional environment.

The suite includes institutional data foundations, clinical workspaces, governed intelligence, secure integrations and assurance controls. Availability and deployment scope are agreed with approved institutional partners.

01 PLATFORM AND DATA FOUNDATION

03 items

02 CLINICAL AND PARTNER WORKSPACES

05 items

03 INTELLIGENCE AND INSIGHT

02 items

04 SECURE INTEGRATIONS

03 items

05 GOVERNANCE AND ASSURANCE

03 items

WHO CAN BUILD WITH TGMNI

For institutions ready to turn fragmented outcomes into responsible intelligence.

TGMNI is designed for approved health, research, government and governance partners - never public tracking, automated diagnosis or unrestricted research.

M01

Ministries / departments of health

Provides de-identified outcome patterns to support policy, priorities and resource planning.

M02

National health systems

Connects learning across fragmented providers without creating a public patient database.

M03

Integrated care systems / regional authorities

Helps reveal gaps, duplication and handover variation across connected services.

M04

Hospital groups

Compares pathways and outcomes across sites to identify variation and improvement opportunities.

M05

Academic medical centres

Supports governed research questions grounded in structured real-world outcomes.

M06

Emergency medicine & trauma networks

Links first contact, treatment, handover and later outcomes for system-level learning.

M07

Ambulance / EMS systems

Helps understand what happened after pre-hospital care, not only what happened at scene.

M08

Primary care / GP networks

Adds longitudinal follow-up and outcome context to wider institutional learning.

M09

Specialist clinics

Structures treatment and outcome evidence across defined conditions and care pathways.

M10

Dental networks

Builds governed evidence around treatment, recovery, complications and longer-term outcomes.

M11

Public health agencies

Surfaces patterns in unmet need, access and service demand without exposing identities.

M12

Universities & research institutions

Provides a governed environment for approved cohort, pathway and outcome analysis.

M13

Clinical outcomes & real-world evidence teams

Supports structured evidence beyond isolated notes and single-site datasets.

M14

Health regulators & clinical governance bodies

Provides auditable purpose, access and human oversight around institutional intelligence use.

M15

Medical charities & global health organisations

Helps identify underserved populations and evaluate programme outcomes safely.

M16

Humanitarian health programmes

Turns fragmented field and follow-up records into safer programme learning.

M17

Defence & disaster medicine partners

Supports approved lessons from field treatment, evacuation and receiving-care pathways.

M18

Digital health & AI governance programmes

Creates a controlled environment for responsible medical intelligence boundaries and oversight.

M19

Approved life-sciences & medtech partners

Supports governed outcome research without unrestricted access or autonomous clinical authority.

M20

International health bodies

Enables comparable de-identified insight across jurisdictions where governance and agreements permit.

TGMNI can help the medical world learn from what happened next - across pathways, populations and systems - without exposing the person.

Discuss TGMNI governance
2.0

Get in Touch

For approved institutions, governance partners and responsible AI discussions.

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