NDLI: Medical diagnostic device reliability improvement and prediction tools-lessons learned

Content Provider	IEEE Xplore Digital Library
Author	Kelley, J.B.
Copyright Year	1999
Description	Author affiliation: Abbott Labs., Santa Clara, CA, USA (Kelley, J.B.)
Abstract	To be successful in the medical diagnostic industry, companies must strive to be the most cost competitive supplier. Abbott Laboratories has traditionally been diligent in pursuing several avenues for cost reduction including raw material supplier contracting, outsourcing, as well as direct labor reduction through design for manufacturability, inventory and scrap reduction. Today, Abbott focuses increased attention on reliability improvements as a means to cost efficiencies. While traditional methods of cost improvement are never seen by the final customer, reliability improvements result in a more satisfied customer. Abbott has used lessons learned from past product development to create in-house reliability engineering tools. These tools help predict reliability of development products; but more importantly, they help Abbott build reliability into the product.
Starting Page	29
Ending Page	31
File Size	330953
Page Count	3
File Format	PDF
ISBN	0780351436
DOI	10.1109/RAMS.1999.744092
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-01-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Medical diagnosis Databases Reliability engineering Biomedical engineering Costs Design engineering Laboratories Product development Medical diagnostic imaging Data engineering
Content Type	Text
Resource Type	Article

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Interdisciplinary areas: Lessons learned and new challenges

Reliability prediction for complex medical systems

Use of heritage data and other partially applicable information in reliability prediction of systems under development

Clinical diagnosis of patellofemoral disorders

Medical Databases

Application of JPEG 2000 compression in medical database image data

Consistent knowledge discovery in medical diagnosis

Fully integrated hemodynamic interventional laboratory informative system

Validation of a large medical database

Medical diagnostic device reliability improvement and prediction tools-lessons learned

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Interdisciplinary areas: Lessons learned and new challenges

Reliability prediction for complex medical systems

Use of heritage data and other partially applicable information in reliability prediction of systems under development

Clinical diagnosis of patellofemoral disorders

Medical Databases

Application of JPEG 2000 compression in medical database image data

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Fully integrated hemodynamic interventional laboratory informative system

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