RC110 JanFeb 2024 - Magazine - Page 30
TECHNOLOGY
MRI scanners are not a special case, but a prime example
of hospitals’ vulnerability. Hospitals depend on their equipment. Preventing breakdowns depends on maintenance,
but most hospitals’ maintenance regimes are reactive.
Digital twins can give hospitals the real-time, holistic
insights they need to optimize their maintenance and
reduce downtime. Digital twins can 昀氀ag problems before
they cause breakdowns, allowing hospitals to replace this
‘昀椀x on fail’ approach with preventative maintenance—reducing costs and increasing patient satisfaction.
Moreover, digital twins allow hospitals to base their
maintenance schedules around criticality, instead of around
generic timeframes. Generic maintenance schedules, where
assets are routinely checked after a 昀椀xed amount of time,
tend to be wasteful, either enforcing unnecessarily frequent
checks or by leaving it too long and risking asset failure. For
vital or irreplaceable equipment that impacts the lives of
patients, the price is simply too high.
Instead, maintenance can be based on criticality, where
data-based insights enable critical equipment to be maintained more regularly. Equipment with low per-capita
ratios (like MRI scanners) can be kept online with e昀케cient,
e昀昀ective, and proactive maintenance
By collecting and storing data in a single place, digital
twins make maintenance itself a much easier process. For
instance, on-site operators who visit hospitals for mainte-
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MRI scanners are not a special case, but a prime example of hospitals’ vulnerability. Hospitals depend on
their equipment. Preventing breakdowns depends on
maintenance, but most hospitals’ maintenance regimes are
reactive.
Digital twins can give
hospitals
the Vancouver
real-time, holistic
2150
Keith Drive,
insights they need to optimize their maintenance and
reduce downtime. Digital twins can 昀氀ag problems before
they cause breakdowns, allowing hospitals to replace this
‘昀椀x on fail’ approach with preventative maintenance—reducing costs and increasing patient satisfaction.
Moreover, digital twins allow hospitals to base their
maintenance schedules around criticality, instead of
around generic timeframes. Generic maintenance schedules, where assets are routinely checked after a 昀椀xed
amount of time, tend to be wasteful, either enforcing
unnecessarily frequent checks or by leaving it too long and
risking asset failure. For vital or irreplaceable equipment
that impacts the lives of patients, the price is simply too
high.
Instead, maintenance can be based on criticality, where
data-based insights enable critical equipment to be maintained more regularly. Equipment with low per-capita
ratios (like MRI scanners) can be kept online with e昀케cient,
e昀昀ective, and proactive maintenance.
nance purposes can 昀椀nd the information they need much
more easily. Rather than being dispatched, locating the
drawings and parts list, and con昀椀rming warranties—all
of which may reside in di昀昀erent places—they have a
one-stop shop for all the data they need to do their job. If
you’re repainting 10,000 rooms in a single hospital, and
each room or wing has its own instructions, the amount
of time spent retrieving and con昀椀rming the instructions
alone can seriously damage e昀케ciency.
With a digital twin database, maintenance sta昀昀 can
be sure of accurate, up-to-date, and easily retrievable
information, speeding up maintenance while driving
costs down, and freeing up hospital budgets to be spent
where it really matters. Gradually, digital twins can help
improve how budgets are managed and allocated, through
improved predictions of future needs or more accurate
insights into whether equipment should be refurbished or
replaced. Digital twins could also be used to predict patient
昀氀ow and ensure proper sta昀케ng—meaning less waste and
more value for money for taxpayers.
Heal and grow
Digital twins can establish continuous improvement: data
can be fed back into the system, enriching decision-making with greater insights, and paving the way for transformative change. By revealing not only the condition
We anticipate.
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