Data Insights

Accruent Data Insights

Leverage the power of medical equipment reliability data to streamline predictive maintenance and reduce downtime.

Data Insights Helps Your Organization Streamline Hospital Equipment Planning



Hospitals do not have access to reliable data on equipment to make informed decisions on new purchases, replacements, service contracts, warranties, and maintenance headcount. Accruent Data Insights uses real data from 289 million work orders to provide independent reliability insights. Get access to our exclusive, interactive web portal and data reports to help your organization reduce equipment downtime, drive better purchasing decisions, and support Value Analysis teams.

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Download a Sample Reliability Report

Accruent Data Insights enables informed decision making by offering real-world equipment data including labor and survival analysis, and mean times between failures (MTBF). 

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IV Pump

Medical Device Reliability Report Screen from Accruent Data Insights

Key Features

Reliability insights, failure rates, and mean time between failures
Common PM Schedules and CM/PM Correlation charts to help you optimize your PM processes, guide AEM decisions and reduce costs
Life expectancy analysis that uses the best of three distinct survival analysis - Artificial Intelligence (AI) algorithms to provide are accurate analysis for all device types and ages
Detailed analysis to help plan corrective and preventive labor
Comparison features to see side-by-side reliability metrics across products
Device overview including FDA and recall information


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Powered by data from 55% of US hospitals from 289 million work orders to provide independent reliability insights:

  • Influence decisions by providing unbiased reliability data during critical capital purchasing decision points
  • Build confidence in your capital plans with real-world life expectancy data
  • Improve your maintenance processes and quickly evaluate AEM decisions

Start Saving Money Today!

Cut costs, make better purchasing decisions and reduce downtime

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