Sentence examples for collection of performance data from inspiring English sources

But before this revolution can move forward, both the quality and collection of performance data need to be greatly improved.

Computer-based surgical simulation promises to provide a broader scope of clinical training through the introduction of anatomic variation, simulation of untoward events, and collection of performance data.

The benefit to the users would be a better understanding of the system landscape, business process enablement, collection of performance data and systematic reuse of existing community experience and knowledge.

The authors point out that a large collection of performance data spanning multiple different configurations, workload conditions, and SLA specifications are needed for the knowledge base to be effective.

For this reason, the collection of epidemiological data was separated from the collection of performance data.

Next, a further division was made according to the goals of the report: either the collection of epidemiological data or the collection of performance data.

Successful strategies for implementation include: leadership support and commitment, a multidisciplinary design and implementation team, careful review and redesign of processes, communication through formal policies and procedures and regular team meetings, and collection and review of performance data.

In addition to regular evaluations and audits, the Treasury Board of Canada's Management for Resources and Results Policy [ 10] requires ongoing collection and reporting of performance data annually and at various points throughout the fiscal year.

Step 2 of the process involved the gathering of performance data during the service delivery (i.e., objective data collection).

"I would like to see education ministers across Wales, England and Northern Ireland get around the table and agree a position on a robust three-country GCSE to continue to allow cross-border movement and the collection of comparable performance data".

This approach is based on collection of key performance data, which is analyzed for data trending and visualization in order to provide advanced predictive maintenance and to permit rapid fault identification and resolution.