R-LABSHealthcare + Housing Innovation Cluster
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Mission 2 · Intelligence Layer

Discharge Intelligence + Orchestration

Stage: ExploringR-LABS Venture | Proposed classification

Help hospitals understand discharge barriers and match patients to appropriate community, housing, rehabilitation, and care pathways.

Discharge Intelligence + Orchestration illustrative image

The challenge

Patients ready to leave hospital often wait because the right next setting cannot be found or coordinated.

Who experiences it

Patients designated alternate level of care, their families, and hospital flow teams.

Why current systems fall short

Discharge options are spread across agencies with no shared, current view of capacity or eligibility.

Why it crosses sectors

Barriers sit in housing, home care, long-term care, and community services, outside hospital control.

If it stays unresolved

Continued hospital congestion, deconditioning of patients, and pressure on emergency departments.

The opportunity

Shared visibility of barriers and available pathways to support earlier, safer transitions.

What is already known

Discharge delays have multiple, recurring causes that can be categorised.

Demonstrated elsewhere

Transitional care coordination models have been tested in several health systems.

What R-LABS proposes to test

Map barriers for a defined cohort and test a coordination workflow against a baseline.

What still requires validation

Effect size, workflow fit, privacy design, and sustainable funding (To be validated).

The coalition

Who needs to be at the table

Roles are proposed. No organization is implied to have agreed to participate. Select “This could be us” on any role to carry it into the participation form.

Healthcare systems

Proposed role
Why it matters
Health systems see the downstream cost of unstable housing and fragmented care first.
Could contribute
Clinical leadership, a defined patient cohort definition, operational insight, and a pilot host setting.
Could gain
A tested pathway that may improve patient flow and outcomes, with shared evaluation.
Next practical step
Nominate a sponsor to join a 60-minute problem-definition session.

Housing providers and operators

Proposed role
Why it matters
Operators turn buildings into stable homes and know what support models are sustainable.
Could contribute
Operating expertise, tenant-support models, portfolio sites, and realistic cost assumptions.
Could gain
Access to aligned partners, funding pathways, and integrated service partners.
Next practical step
Share non-confidential portfolio context and operating constraints.

Community organizations

Proposed role
Why it matters
Community organizations hold trust, local knowledge, and service delivery capacity.
Could contribute
Wraparound services, outreach, local insight, and community engagement.
Could gain
A recognised role and resourcing within a coordinated model.
Next practical step
Share the services and populations you currently support.

Technology and data partners

Proposed role
Why it matters
Shared data and practical tools make coordination between sectors possible.
Could contribute
Data platforms, integration capability, analytics, and privacy-by-design expertise.
Could gain
A real-world proving ground and a path to replicable deployment.
Next practical step
Describe a relevant capability in a non-confidential summary.

Researchers and evaluators

Proposed role
Why it matters
Independent evaluation separates what works from what simply sounds good.
Could contribute
Evaluation design, baseline methods, literature review, and outcome measurement.
Could gain
Applied research partnerships and access to real-world implementation settings.
Next practical step
Propose an evaluation approach or relevant prior work.

Select one or more roles above

Continue to participation →

First proof of value

A 3–6 month pilot with one or two hospitals, with a defined cohort and measurable baseline.

Proposed plan, not a guaranteed schedule
  1. 1

    Define the problem and target population

  2. 2

    Identify the host organization and local context

  3. 3

    Assemble the minimum viable coalition

  4. 4

    Establish a baseline and evidence plan

  5. 5

    Design and cost a bounded pilot

  6. 6

    Agree on a go / no-go decision

Proposed scope
One or two hospitals, a defined cohort, 3–6 months.
Required participants
  • Host organization
  • Lead sponsor
  • Evaluation partner
  • R-LABS Solution Accelerator
Key assumptions
  • A host is willing to share non-confidential context
  • A bounded use case can be defined
  • Baseline data is accessible through approved channels
Data or evidence needed
  • De-identified aggregate baseline of delay causes
  • Pathway capacity inventory
Deliverables
  • Problem definition
  • Coalition charter
  • Costed pilot design
  • Evaluation plan
Indicative timeframe
Proposed: 3–6 month pilot after design
Success measures
  • Agreed problem statement
  • Committed minimum viable coalition
  • Costed and fundable pilot design
Decision gate
Coalition decides go / no-go on a bounded pilot.

Economics explorer

Test the assumptions

Every input is an editable, illustrative assumption, not verified project data. Replace with local information as it becomes available.
Illustrative assumptions only
Editable assumptions

Baseline utilization

2,000 bed days / yr

Modelled change

0 bed days / yr

Gross avoided-cost estimate

$0

Pilot + first-year cost

$0

Expected change defaults to 0% because no validated effect exists yet. Gross avoided cost is not equivalent to cash savings realized by any organization.

Moonshot

Every transition to the right setting

A scalable platform that reduces avoidable delays, improves patient transitions, and helps people move to the right setting.

No numeric target set. Requires a defined business case and evidence.