PTS Intervention
Engineering a tracked material-flow capability around the institution
A Pneumatic Tube System is not a standard package that can simply be installed wherever space is available.
Its value depends on what the institution needs the material-flow system to accomplish.
The architecture follows the operating condition.
From the operating condition to the PTS architecture
No two hospitals have the same material-flow requirement.
The relevant variables include:
Demand
Patient volumes, acuity, future demand
Institution
Department locations, laboratory and pharmacy configuration, infrastructure
Flow
Material categories, movement frequency, physical distances
Operation
Operating schedules, workforce patterns, information systems
Requirements
Criticality of materials, safety and regulatory requirements
Demand + Institution + Flow + Operation + Requirements
PTS Architecture
These conditions determine station locations, routing, capacity, interfaces, controls, and supporting infrastructure.
The question is what the institution will need the logistics capability to accomplish as its operation evolves—not simply how many beds it has today.
Make invisible movement measurable
A laboratory can measure its testing time.
A pharmacy can measure its preparation time.
A hospital information system can record when an order is placed and when a result becomes available.
But the dependencies between these stages can remain largely invisible.
A sample may wait for collection.
A collected sample may wait for transport.
A prepared medication may wait to reach the ward.
The missing information is not simply where the material is. It is how much time the institution is investing between the decisions that matter.
CLINICAL DECISION
MATERIAL MOVEMENT
RECEIVING POINT
NEXT CLINICAL DECISION
WAITING
Time before movement
TRANSPORT
Time spent moving
RECEIPT
Time until receipt
ACTION
Time until acted on
PTS introduces timestamped visibility into those movements.
A delay that can be separated can be investigated.
A delay that can be investigated can be improved.
Make the diagnostic journey measurable
Order
────►
ORDER-TO-COLLECTION
Time between the clinical order and sample collection.
Collection
────────►
COLLECTION-TO-RECEIPT
Time between collection and laboratory receipt.
Send
────────────►
SEND-TO-RECEIPT
The transport interval itself.
RECEIPT
────────────────►
LABORATORY TAT
Time spent within the laboratory process.
RESULT
─────────────────────►
RESULT-TO-ACTION
Time between result readiness and the next clinical action.
The exact targets belong to the institution’s operating requirements and applicable standards.
The significance is not a universal target. It is visibility into where time is actually being consumed.
The treatment journey becomes visible too
The same principle applies after the treatment decision.
Clinical review
Prescription
Pharmacy preparation
Dispatch
Receipt
Administration
Review-to-Prescription
Time from clinical decision to prescription.
Preparation
Time required for pharmacy preparation.
Dispatch-to-Receipt
Transport interval to the receiving point.
Receipt-to-Administration
Time between availability and administration.
A department is no longer judged only by its own processing time.
The relationship between departments becomes measurable.
Visibility changes what management can see
Tracked movement does not improve an operation by itself.
It gives the institution information that was previously difficult to obtain.
Recurring delays
Where time repeatedly accumulates.
Bottlenecks
Where flow becomes constrained.
Movement patterns
Where unnecessary or abnormal movement occurs.
Workload
Who absorbs the consequences of delay.
Timing relationships
How movement interacts with clinical and operational schedules.
Exceptions
Where actual movement differs from the expected process.
Visibility becomes valuable when it changes a decision.
A recurring delay can be investigated.
A workflow constraint can be distinguished from a staffing constraint.
A local solution can be tested against its effect on the wider flow.
Investment decisions can be based on demonstrated operating conditions rather than assumptions.
The objective is not simply to track movement. It is to make the operation measurable enough to manage.
Chain of custody
Some materials require more than speed.
They require certainty about where they came from, where they went, who released them, and where they were received.
Identification
Release
Movement
Receipt
Exception
Identification
The material and intended destination are known.
Controlled release
Movement begins from the authorised sending point.
Traceability
Movement through defined points can be recorded.
Confirmation
Receipt at the intended destination is visible.
Exception
Deviations can be investigated.
This is particularly relevant to materials requiring controlled handling, including blood products and selected medications.
For high-value or controlled materials, this visibility can reduce uncertainty around misplaced, delayed, or incorrectly delivered items.
Chain of custody becomes part of operational control—not simply a record of transport.
From movement control to a leaner operation
01 — Continuous flow
Materials can move according to patient and operational need rather than accumulating into avoidable transport batches.
Less artificial batching. More predictable flow.
02 — Measured movement
Waiting, dispatching, transporting, receiving and acting can be distinguished rather than absorbed into a single turnaround time.
Performance becomes visible between departments.
03 — Synchronized delivery
Controlled movement can reduce unnecessary manual handling, repeated movement and associated staff burden.
Movement becomes part of the operating model rather than an invisible workload.
The shift is not simply from manual transport to automated transport.
It is from an operation that absorbs movement as an invisible cost to one that can see, manage, and improve it.
Accelerating critical clinical pathways
The value of controlled material flow becomes particularly visible where time directly affects the next clinical decision.
Critical blood and transfusion requirements
Validated movement between points of care can reduce dependence on staff leaving clinical responsibilities to manage internal transport.
STAT samples and medications
Critical materials can move on demand rather than waiting for the next available transport cycle.
Surgical and emergency replenishment
Controlled internal logistics can shorten the interval between identifying a requirement and making the required material available.
The result is not simply faster transport.
It is greater continuity across the clinical pathway when time matters most.
Mitigating clinical risk and operational waste
Operational friction does not disappear when it is absorbed by staff.
It becomes staff time, repeated movement, unused materials, delayed care, avoidable waste, and sometimes additional clinical risk.
More responsive medication cycles
Where the institutional medication model supports it, more responsive cycles can align material availability more closely with the patient’s treatment cycle.
Less accumulated delay
Where the baseline demonstrates that material-flow delays contribute to treatment delays, improvement can contribute to faster progression and earlier release of capacity.
Less frontline friction
Reducing routine internal transport can give qualified clinical staff more time to remain focused on patient care.
Evidence of the relationship between transport burden and medication safety
FOUR-WEEK OBSERVATION
Medication delivery workflow
FLOOR USING PTS
0
observed medication errors
FLOOR WITHOUT PTS
16
observed medication errors
The observation does not establish that PTS itself prevents medication errors.
It illustrates how transport workload and the way materials move through the institution may be relevant to medication safety.
The value is created when less time, material and human capability are consumed without contributing to patient care.
The economics of the operating model
A PTS should not be judged solely by whether the equipment generates direct revenue.
Its economic contribution occurs through the operating capacity it releases.
Released staff time
Less qualified clinical time consumed by routine transport.
Reduced waste
Fewer avoidable redraws, repeated handling and consumable losses where the baseline demonstrates the opportunity.
Improved capacity utilisation
Better use of beds, theatres, workforce and existing infrastructure.
Reduced infrastructure dependency
Where appropriate, improved logistics may reduce the need for duplicated support functions.
Where the baseline demonstrates the relationship, improved logistics may also support:
consolidation of duplicated support functions
centralised inventory control
reduced infrastructure requirements
lower avoidable CAPEX/OPEX
Where the operating condition demonstrates that duplicated infrastructure exists primarily to compensate for slow or unpredictable internal movement, improved logistics can create an opportunity to reconsider that configuration.
The relevant question is the value created across the operating model relative to the financial and operational resources required to create it.
The value must be demonstrated in the institution’s own numbers
The value of an intervention cannot be established from a generic benchmark alone.
MGE therefore uses a data-driven value model that begins with the institution’s own operating condition.
Lost capacity
Avoidable waste
Potential improvement
Net annual value
Investment
Payback
The model connects the baseline to the financial and operational consequences of the identified constraints.
Relevant value drivers may include:
workforce time · transport performance · sample rejection · errors · inventory · bed utilisation · operating costs · other institution-specific factors
The hospital provides the actual baseline values.
MGE provides the framework, tests the relationships, and reruns the model against the institution’s own figures.
The system becomes part of the operating model
A PTS does not create institutional value simply by being installed.
Its value depends on how the institution operates once the capability exists.
MGE therefore works with the institution to translate the new capability into the operating model around it.
Flow
Material pathways, dispatch and receiving practices
Responsibilities
Departmental ownership and escalation
Timing
Clinical and operational schedules
Management
Performance measures and management visibility
Control
SOPs, protocols and corrective action
Capability
Knowledge required to operate, maintain and improve the system
These changes are not designed after the system has been installed. They form part of the intervention itself.
Future operating condition
The PTS is designed around the institution’s future demand, operating model, material flows, clinical requirements and measurable performance objectives.
The architecture therefore considers:
anticipated demand · department configuration · service requirements · infrastructure · workflows · turnaround requirements · routes · material categories · system integration · future expansion
The architecture must accommodate the institution’s intended direction rather than lock it into today’s limitations.
Capability transfer
The intervention does not end with system commissioning.
MGE supports the institution in developing the internal capability required to operate, manage, maintain and continuously improve the strengthened operating model.
This can extend from day-to-day system use and management visibility to engineering response, maintenance, troubleshooting and escalation.
The objective is not dependence on the intervention provider.
It is an institution capable of carrying the strengthened operating model forward.
What the capability must prove
Transport performance
Transit time, waiting time, throughput, reliability
Traceability
Dispatch, movement, receipt and exceptions
Clinical-flow performance
Diagnostic and treatment turnaround
Operational performance
Interruptions, movement, handling and avoidable workload
Resource & institutional performance
Staff time, inventory, consumables, infrastructure, capacity, cost and other baseline-defined outcomes
The targets are not universal numbers. They are defined by what the institution needs the capability to accomplish.
The deeper technical question
The PTS question is ultimately not:
Which tracking technology should the hospital buy?
It is:
What must become visible, measurable and actionable for tracked material flow to create meaningful institutional value?
Operating condition
Required capability
Architecture
Evidence
Improvement
Institutional value
The operating condition determines the required capability.
The required capability determines the architecture.
The evidence determines what can be improved.
And the improvement determines whether the capability was worth introducing.
What could this value mean for your institution?
Explore the MGE PTS value and investment assessment using your own operating data.