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Development of a computerised decisions support system for renal risk drugs targeting primary healthcare.

Helldén A, Al-Aieshy F, Bastholm-Rahmner P, Bergman U, Gustafsson LL, Höök H, Sjöviker S, Söderström A, Odar-Cederlöf I - BMJ Open (2015)

Bottom Line: The GPs found the CDSS fast, simple and easy to use.Acceptance of the simple graphical interface of this push and pull renal CDSS was high among the primary care physicians evaluating this proof of concept.The graphical model should be useful for further development of renal decision support systems.

View Article: PubMed Central - PubMed

Affiliation: Department of Clinical Pharmacology, Karolinska University Hospital, Stockholm, Sweden Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.

No MeSH data available.


Related in: MedlinePlus

Flow chart of the study at the two primary healthcare centres (PHCs) and the change in the number of patients with an estimated creatinine clearance according to the Cockcroft & Gault formula before and after the introduction of the renal computerised decision support system at PHC 2.
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BMJOPEN2014006775F1: Flow chart of the study at the two primary healthcare centres (PHCs) and the change in the number of patients with an estimated creatinine clearance according to the Cockcroft & Gault formula before and after the introduction of the renal computerised decision support system at PHC 2.

Mentions: The development of the CDSS followed two steps: establishment of the concept and proof of concept (figure 1).


Development of a computerised decisions support system for renal risk drugs targeting primary healthcare.

Helldén A, Al-Aieshy F, Bastholm-Rahmner P, Bergman U, Gustafsson LL, Höök H, Sjöviker S, Söderström A, Odar-Cederlöf I - BMJ Open (2015)

Flow chart of the study at the two primary healthcare centres (PHCs) and the change in the number of patients with an estimated creatinine clearance according to the Cockcroft & Gault formula before and after the introduction of the renal computerised decision support system at PHC 2.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4499680&req=5

BMJOPEN2014006775F1: Flow chart of the study at the two primary healthcare centres (PHCs) and the change in the number of patients with an estimated creatinine clearance according to the Cockcroft & Gault formula before and after the introduction of the renal computerised decision support system at PHC 2.
Mentions: The development of the CDSS followed two steps: establishment of the concept and proof of concept (figure 1).

Bottom Line: The GPs found the CDSS fast, simple and easy to use.Acceptance of the simple graphical interface of this push and pull renal CDSS was high among the primary care physicians evaluating this proof of concept.The graphical model should be useful for further development of renal decision support systems.

View Article: PubMed Central - PubMed

Affiliation: Department of Clinical Pharmacology, Karolinska University Hospital, Stockholm, Sweden Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden.

No MeSH data available.


Related in: MedlinePlus