Medical Equipment Preventative Maintenance

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      Preventative Maintenance

    Medical Equipment Preventative Maintenance

    1. Home

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      Solutions

    3. angle-right icon

      Clinical Engineering

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      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

    • Remote device monitoring
    • Event detector algorithms
    • Data science

    DETECT Device Problems

    • Automated work orders
    • Prescribed remediation

    RESPOND Proactively

    • Department collaboration
    • 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 an innovative feature offered with 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
    • 950 events diverted or avoided* 
    • 31K+ hours in unplanned downtime avoided annually* 

    Learn More

    Download Our Predictive Work System (PWS) Resource

    DOWNLOAD RESOURCE GUIDE
    Resource Guide - Predictive Work Systems

    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 since the MRI was ready Monday morning
    • Avoided patient inconvenience and rescheduling
    • Reduced clinician and staff frustration
    • Prevented excessive helium boil off

    CASE STUDY

    HOSPITAL PREVENTS UNPLANNED DOWNTIME WITH PREDICTIVE WORK SYSTEMS

    DOWNLOAD NOW
    Case Study -Predictive Work Systems

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    FOOTNOTE

    *TRIMEDX internal data