Medical Equipment Preventative Maintenance

Medical Equipment Preventative Maintenance

identify potential device failures with the trimedx predictive work system

Unexpected breakdowns of high-volume imaging equipment can lead to frustrated patients, unhappy clinicians, and significant lost revenue. With advanced technology and expertise from TRIMEDX, you can detect device failures before they occur and reduce unplanned downtime with preventative maintenance. 

There is never a good time for medical equipment to break down, especially in critical, high-volume imaging departments. 

TRIMEDX Predictive Work System (PWS)

IDENTIFY Preventable Failures

  • Expert engineer input
  • Service history

DETECT Device Problems

  • Remote device monitoring
  • Event detector algorithms
  • Data science

RESPOND Proactively

  • Automated work orders
  • Prescribed remediation
  • Scheduled downtime
Predictive Work System (PWS) Definition - An advanced technology that combines remote medical device monitoring service expertise and data science

PWS Outcomes

By combining remote device monitoring, service expertise, and data science, PWS identifies common preventable equipment problems before a failure occurs. PWS automatically issues 'smart' work orders with prescriptive repair actions, relevant parts, and service manual information. Technicians can schedule medical equipment preventative maintenance at a time that is convenient for clinicians and patients. As a standard feature of the TRIMEDX comprehensive Clinical Engineering solution, PWS helps health systems worry less about equipment failure and focus more on patient care.

  • Reduce unplanned downtime with scheduled repairs
  • Improve patient experience and safety
  • Increase clinician satisfaction
  • Avoid revenue loss

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Download Our Predictive Work System (PWS) Resource

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Predictive work system for preventative maintenance in health care

PWS in Action

A wide variety of healthcare organizations have deployed PWS to reduce unplanned downtimes and streamline medical equipment preventative maintenance. See some examples below of what these health systems have achieved.

Case Study 1:
Predicting Air Bubbles In CT

Problem: The presence of air bubbles in CT machines is a well-known but hard-to-predict problem that can cause artifacts, misdiagnosis, administration of excess x-ray doses, and lost revenue opportunities. At a hospital in the Midwest, the CT appeared to be functioning normally to the radiologic tech. However, there were view-corrections, tube arcs, and air bubbles developing within the CT.

air bubbles in ct machines

Solution: With PWS, TRIMEDX was able to detect the air bubbles and schedule a repair with the client during non-patient hours that:

  • Avoided 48+ hours of unplanned repair downtime
  • Prevented tube damage and high-voltage component replacement
  • Ensured clinical uptime when needed most
case-study-2

Case Study 2:
Detecting Offline MRI During Closed Hours

Problem: A power outage shut down an MRI at a standalone imaging center on a Sunday night when the center was closed.

Solution: PWS detected the loss of power to the MRI and generated a work order. The TRIMEDX technician was able to communicate the outage to building security, and once power was restored, the technician reset the MRI power and brought the system up which: 

  • Minimized disruption to the scanning schedule, as the MRI was ready Monday morning
  • Avoided patient inconvenience and rescheduling
  • Reduced clinician and staff frustration
  • Prevented excessive helium boiloff

CASE STUDY

HOSPITAL PREVENTS UNPLANNED DOWNTIME WITH PREDICTIVE WORK SYSTEMS

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Case Study -Predictive Work Systems

FOOTNOTE

*Based on Internal TRIMEDX data collected from July 2020 through Oct. 2021 using average repair times for each type of failure.