Sentence examples for of data collection systems from inspiring English sources

Consultants can assist with research study design, design of data collection systems and instruments, data entry and validation, data management and quality assurance, statistical analysis and data interpretation, and professional and scientific report-writing.

Greater use of electronic medical records and patient management information systems has improved the completeness and uniformity of data collection systems [ 16, 17].

An additional, relatively high-resource investment suggested by the data in the current assessment is the harmonization of data collection systems across health programs.

In countries where the drug of interest is obtainable OTC, consumption may have been underestimated, especially in the case of data collection systems based on reimbursement data.

In the absence of data collection systems, high quality nationally representative cause of death studies can play an important role in getting a better picture of the real magnitude of the problem.

UNICEF can play an important role in the identification, systematization and the assessment of a number of initiatives to define indicators, the development of data collection systems and routine recording in the area of protection, which are currently being implemented in a fragmented and redundant way.

The experimental facility was composed of data collection system, image acquisition system, and image analysis system.

A second difference is the type of data collection system, with the Rwanda and Zambia Partnerships implementing new EMR systems, while the Ghana, Mozambique, and Tanzania partnerships focus on paper-based HIS that are computerized at the health facility or district levels.

The Federation of American Scientists reasonably argues that potential abuses of data-collection systems can and should be anticipated and prevented.

Taken as a whole, the available information clearly indicates that priority should be given to improvement of the health of women in reproductive age and of the quality of perinatal care, including the establishment of reliable data collection systems.

First to examine its feasibility from a computational point of view due to the growing sample size of these data collection systems, but more importantly, its relative capability of offering possibly more informative and readable results.