Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Effectively utilizing device maintenance data to optimize a medical device maintenance program.

D Brewin1, J Leung, T Easty

  • 1Institute of Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada. d.brewin@utoronto.ca

Biomedical Instrumentation & Technology
|January 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Gas gangrene due to Clostridium haemolyticum in a cat with aortic thromboembolism treated using clopidogrel and rivaroxaban.

Australian veterinary journal·2024
Same author

Artificial intelligence-based computer-aided diagnosis for breast cancer detection on digital mammography in Hong Kong.

Hong Kong medical journal = Xianggang yi xue za zhi·2024
Same author

Sustaining attention in affective contexts during adolescence: age-related differences and association with elevated symptoms of depression and anxiety.

Cognition & emotion·2024
Same author

Head injury in older adults presenting to the ambulance service: who do we convey to the emergency department, and what clinical variables are associated with an intracranial bleed? A retrospective case-control study.

Scandinavian journal of trauma, resuscitation and emergency medicine·2023
Same author

To see is to have a future: an interview with Dr Jason Cheuk-sing Yam.

Hong Kong medical journal = Xianggang yi xue za zhi·2023
Same author

Prevalence and Distribution of Intrinsic Capacity and Its Associations with Health Outcomes in Older People: The Jockey Club Community eHealth Care Project in Hong Kong.

The Journal of frailty & aging·2022

This study optimized medical device maintenance using clinical engineering methods and ISO risk management principles. It improved device reliability and reduced unnecessary maintenance checks by analyzing historical data.

Area of Science:

  • Clinical Engineering
  • Biomedical Engineering
  • Healthcare Management

Background:

  • Clinical engineering departments face challenges in optimizing medical device maintenance programs.
  • Existing maintenance schedules may not always be cost-effective or aligned with actual device risk.
  • Integrating risk management principles is crucial for effective medical device lifecycle management.

Purpose of the Study:

  • To develop and implement a unique system for optimizing medical device maintenance at the University Health Network.
  • To leverage device maintenance history data for risk analysis and identification of suboptimal maintenance regimes.
  • To support data-driven alterations in maintenance strategies, including intervals, training, procedures, and purchasing.

Main Methods:

Related Experiment Videos

  • Integration of clinical engineering best practices and ISO risk management principles.
  • Utilizing a database of medical device maintenance history for risk analysis.
  • Employing a software data research tool to analyze device history and inform maintenance adjustments.
  • Implementing a continuous management cycle for justification, documentation, and risk monitoring of alterations.

    • Main Results:

    • Identification of equipment groups with non-optimal current maintenance regimes.
    • Data-driven support for modifications to maintenance intervals, user training, and maintenance procedures.
    • Establishment of a system for justified, documented, and risk-monitored changes to maintenance practices.
    • Predicted improvement in overall medical device reliability.

    Conclusions:

    • The implemented optimization system effectively uses historical data and risk management for medical device maintenance.
    • Data-driven adjustments lead to improved device reliability and reduced inefficient maintenance activities.
    • This approach supports a proactive and continuously improving medical device maintenance program.