In order to improve relevance to quality improvement and to comply with the criteria implicit in the definitions of clinical-practice guidelines, measures of clinical effectiveness and patient safety will be initially assessed in relation to discrete patient characteristics.
As a preliminary result, evaluation criteria are broad and diverse enough to include accessibility, efficiency (also: effectivity, efficacy), feasibility, impact, improvement, novelty, relevance (for a certain user-group or agenda), simplicity, and sustainability.
A case study on process improvement demonstrates the relevance of the proposed approach.
The same holds for countries within the British Commonwealth, as discussed by Sinnema and Aitken [15], who note the general emphasis on "competencies, pedagogy, values, student agency, partnerships and reduced prescription", which are meant to underpin the goals of "improvement, equity, future relevance and coherence" [15, p. 156].
He believes that after improvements in the relevance of Wish's recommendation system, the startup is growing faster than Pinterest, Twitter or Google.
However, he adds that Feedly might use this data in the future for search engine relevance improvements, but only in aggregate; it won't show others which posts you've indicated are "Must Reads," that is.
Cuill, which was founded by husband and wife team Tom Costello and Anna Patterson, can supposedly index web pages at 1/10th the cost of Google (a significant competitive advantage) and has claims of relevance improvements over existing search engines.
This was aimed at improving school management and, ultimately, contribute towards the improvement of quality and relevance of education.
By contrast, the guidelines for entertainment were found to be influenced by other criteria and should therefore be the last priority for improvement due to the relevance of cloud service applications for other uses.
Numerous authors have discussed the potential of BDA for IS research, for example, Shimueli and Koppius [8] described six roles for predictive analytics: generating new theory, develop measurements, comparison of competing theories, improvement of existing models, relevance assessment, and assessment of the predictability of empirical phenomena.
