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Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
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Infective endocarditis management involves a multifaceted approach encompassing infection prevention, lifestyle modifications, pharmacological therapy, and surgical management.Infection Prevention:Hand Hygiene: Thorough handwashing is crucial to prevent the spread of infection. Hand hygiene should be performed regularly, especially before and after using the restroom.Oral Hygiene: Good oral hygiene is essential. It includes brushing teeth immediately after waking up and before bed, flossing...
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Related Experiment Video

Updated: Jan 21, 2026

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Evidence-based medical equipment management: a convenient implementation.

Ernesto Iadanza1, Valentina Gonnelli2, Francesca Satta3

  • 1Information Engineering Department, University of Florence, Via S. Marta, 3, 50139, Florence, Italy. ernesto.iadanza@unifi.it.

Medical & Biological Engineering & Computing
|August 11, 2019
PubMed
Summary

This study introduces evidence-based maintenance and key performance indicators (KPIs) for medical equipment. Combining these methods optimizes resource allocation and enhances clinical engineering by analyzing failure data for better maintenance strategies.

Keywords:
Clinical engineeringEvidence-based maintenanceHealth technology managementKey performance indicatorsMedical equipment

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Area of Science:

  • Biomedical Engineering
  • Healthcare Management
  • Clinical Engineering

Background:

  • Medical equipment maintenance is vital for life cycle management and resource optimization.
  • Current maintenance relies on scheduled and corrective actions, with work order classification revealing failure patterns.
  • Clinical engineering departments need standardized methods to assess maintenance effectiveness.

Purpose of the Study:

  • To combine evidence-based maintenance with novel key performance indicators (KPIs) for evaluating medical equipment maintenance.
  • To provide an objective and standardized approach to support clinical engineering activities.
  • To analyze maintenance performance using failure data and identify optimal procedures.

Main Methods:

  • Implementing specific codes to classify corrective and scheduled maintenance work orders.
  • Developing and proposing a novel set of key performance indicators (KPIs) for maintenance evaluation.
  • Utilizing technological, organizational, and financial data for KPI calculation.

Main Results:

  • The combined approach enables periodical cross-analysis of maintenance performance.
  • Failure history data, combined with KPIs, indicates the most appropriate maintenance procedures.
  • The proposed KPIs can be integrated into business intelligence dashboards for enhanced visualization.

Conclusions:

  • The integration of evidence-based maintenance and KPIs offers a robust framework for medical equipment management.
  • This approach enhances the objectivity and standardization of clinical engineering practices.
  • Continuous performance monitoring and data-driven analysis lead to optimized resource allocation and improved equipment reliability.