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== Data Quality Management ==
Accurate, comprehensive data are needed in any automated medical equipment management system. [[Clinical Quality Management System|Data quality initiatives]] can help to insure the accuracy of clinical/biomedical engineering data. The data needed to establish basic, accurate, maintainable automated records for medical equipment management includes: nomenclature, manufacturer, nameplate model, serial number, acquisition cost, condition code, and maintenance assessment. Other useful data could include: warranty, location, other contractor agencies, scheduled maintenance due dates, and intervals. These fields are vital to ensure appropriate maintenance is performed, equipment is accounted for, and devices are safe for use in patient care. Advanced equipment management and maintenance systems match and correlate the asset-data in centralised databases to increase the quality and data consistency.<ref> Smart Hospital Maintenance (2024). [https://www.shm.software/asset-matching "A smart feature that automatically matches assets of the same type, brand and model in all your facilities. Capture the full range of your assets and know exactly what share of equipment is from which manufacturer. This allows you to improve data-driven decision-making and ensure that you make the best possible decision."]. Retrieved on 09
* Nomenclature: It defines what the device is, how, and the type of maintenance is to be performed. Common nomenclature systems are taken directly from the [[ECRI Institute]] Universal Medical Device Nomenclature System.
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