A smart medication recommendation model for the electronic prescription
pubmed.ncbi.nlm.nih.gov › ...
Objective: This study aims to enhance efficiency of the e-prescribing system by shortening the medication list, reducing the risk of inappropriate selection of ...
This model is to introduce a new concept called Mean Prescription Rank of prescriptions. · The physicians will able to select relevant medications even in the ...
This model is to introduce a new concept called Mean Prescription Rank of prescriptions. •. The physicians will able to select relevant medications even in ...
This model is to introduce a new concept called Mean Prescription Rank of prescriptions.The physicians will able to select relevant medications even in the ...
Conclusion: smart recommenders systems can improve e-prescription usability, safety, and enhanced physicians' adoption. Keywords: electronic prescribing; ...
May 14, 2024 · This model started on June 1st 2005 with the implementation of a series of interventions: 1) Definition of the proceedings of the admission unit ...
... medication and also to reduce the prescrib- ing time of the physicians. In order to do so we proposes a smart model that recommends most commonly prescribed.
We propose a model that recommends the most commonly prescribed medication on top of the drop-down list in the e-prescription application and showed that it can ...
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Nov 1, 2014 · A proactive medication list (PML) was computed using MPR and CR. With this model the medication drop-down menu is significantly shortened, ...
Objectives: To enhance the efficiency of the e-prescribing system by reducing the risk of inappropriate selection of the medication and also to reduce the ...