Customer data assessment

Customer complaints Warranty claims Failure analysis reports Process capability studies Service reports Concessions Change requests Subcontractor assessments Performance analysis Deviations and waivers Contract change records Quality cost data External Quality Audit records... 

Rourick, R. A., Jenkins, K. M., Walsh, J., Xu, R., Cai, Z. and Kassel, D. B., Integration of Custom LC/MS Automated Data Processing Strategies for the Rapid Assessment of Metabolic Stability and Metabolic Identification in Drug Discovery, American Society for Mass Spectrometry 2002 Conference Abstract, Orlando, FL, USA, 2002. 

For time-series data, the contiguous block method can provide a good assessment of the temporal stability of the model, whereas the Venetian blinds method can better assess nontemporal errors. For batch data, one can either specify custom subsets where each subset is assigned to a single batch (i.e., leave one batch out cross-validation), or use Venetian blinds or contiguous blocks to assess within-batch and between-batch prediction errors, respectively. For blocked data that contains replicates, one must be very careful with the Venetian blinds and contiguous block methods to select parameters such that the rephcate sample trap and the external subset traps, respectively, are avoided. 

Corrective action shall be used as a root for improvement. Sources of information for the consideration of corrective action include customer complaints, non-coirformity reports, internal audit reports, output from management review, output from data analysis, outputs from satisfaction measurements, results of self-assessments etc. Corrective action usually entails significant cost, which is balanced against the impact of the problem being considered before the final decision to proceed with the appropriate corrective action. 

In 1999, the Board of Commissions established an Oversight Task Force for the Accreditation Process Improvement (API) Initiative. The purpose is to oversee the continuous improvement in the accreditation process. The resulting changes are intended to enhance the evaluation of critical patient safety and patient care functions and to achieve an accreditation process that remains consultative and focused on performance improvement. A white paper was published outlining a future operational model that will continue to build and expand on technology, performance data, presurvey self-assessments, a fully automated interface with JCAHO, increased surveyor development, and a more continuous accreditation process. Instead of a once every 3 years site visit, two 18-month site visits would occur that evaluate select standards. In addition, since health care entities are so diverse, there is a desire to create a model that is more data driven, less predictable, and more customized to an individual organization. 

Some of the most elegant work in data reduction for natural products screening has been reported in the area of diversity assessment, as discussed earlier [10]. Several of these examples involve LC/UV/MS analysis of natural product extracts on an extremely large scale. The resulting data were converted to the netCDF format and evaluated with customized software. Three-dimensional images were generated for the visualization of sample component differences, and a measure of similarity was calculated to allow for diversity assessment. This approach was also applied to the automahe deconvoluhon of the mass spectra of secondary metabolites from LC-MS data with factor analysis [117]. 

Although no legal requirement exists, the customer should usually be able to trust the information about substances provided by the producer or distributor. Therefore, the classification, labeling, and submitted safety data sheets are from the best available data source. Of course, in the case of an obviously wrong declaration, a correction has to be made, preferable after feedback to the supplier. In the case of different classifications by different suppliers, an own assessment has to be done. 

Depending on the chosen approach (see Section 3.1) service quality can be measured from the customer s and the service provider s point of view. Measuring from the service provider s point of view involves gathering data that are internally available, such as performance measures or quality cost (Eversheim 1997). They can be analyzed using well-known methods from quality management in manufacturing processes, such as statistical process control (Gogoll 1996). In addition, service quality can be assessed indirectly by an overall analysis of the quality system, which is done by a... 

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