DBF/Industries/ Healthcare & Research
Healthcare & Research

Healthcare
& Research

Validate clinical programmes, patient flow, lab adjacencies, and infrastructure demands — before design decisions lock in decades of operational performance.

Clinical
Adjacency Validated

errors caught at feasibility, not after BIM

Zero
Zone Conflicts

infection control zone conflicts in generated layouts

Decades
Impact Shaped

of operational performance determined by early planning

Healthcare & Research

AI-Powered Planning

Medical Centres · Hospitals

Trusted By Teams Delivering Complex Projects.

⊕ TAKENAKA Jacobs EMAAR McKinsey Dubai Municipality ø egis

The Problem

Hospital design errors are not just costly to fix — they affect clinical outcomes, staff efficiency, and patient safety for the operational life of the building. Research laboratory adjacency failures compromise scientific quality for decades.

Without DBF
With DBF
× Complex departmental adjacencies validated manually across large facilities
AI validates every adjacency requirement against clinical relationship matrices
× Patient and staff flow modelled separately, not simultaneously
Integrated patient and staff flow analysis across all departments
× Infection control zone configuration checked late in design
Infection control zoning validated from the first generated layout
× Clinical and regulatory compliance tested against final design, not brief
Regulatory compliance checking embedded in feasibility generation

— How It Works

From brief to validated
layout in six steps.

I
I
Step 1/6

Define

Define clinical programme: departments, bed counts, procedure volumes, acuity mix

II
II
Step 2/6

Import

Import site data and building envelope constraints

III
III
Step 3/6

Generate

Generate multiple hospital layout scenarios with AI planning tools

IV
IV
Step 4/6

Validate

Validate departmental adjacencies, patient flow, and circulation efficiency

V
V
Step 5/6

Test

Test infection control zoning and regulatory compliance

VI
VI
Step 6/6

Export

Export validated programme layouts to BIM for detailed clinical design

Platform Capabilities

Every feature is available from the first session — no modules to unlock, no staged rollout.

AI hospital and medical centre layout scenario generation
Departmental adjacency and relationship matrix validation
Patient and staff flow analysis
Infection control and regulatory compliance checking
Research lab containment, isolation, and MEP modelling
BIM handoff exports for clinical design teams

Use Cases

Who uses DBF for healthcare & research projects — and in what role.

NHS & Public Health

Healthcare trusts and authorities planning new hospital facilities

Healthcare Infrastructure Director
Higher Education

Universities planning research and science facilities

Research Facilities Head
Private Healthcare

Private healthcare operators designing specialist clinical facilities

Clinical Facilities Director
Life Science

Life science developers building research campus facilities

Development Director
Clinical Adjacency Validated

errors caught at feasibility, not after BIM

Zero Zone Conflicts

infection control zone conflicts in generated layouts

Decades Impact Shaped

of operational performance determined by early planning

Future Vision

The Future of Healthcare & Research Facility Planning

As healthcare systems face growing demand, ageing infrastructure, and increasing clinical complexity, hospital planning must become faster and more data-driven. DBF enables teams to navigate this complexity by validating more options, earlier, with greater clinical confidence than traditional workflows allow.