Notes from academic paper: Analysis of community chain pharmacists’ interventions on electronic prescriptions

Reasons for interventions were grouped into 21 different categories. In some cases pharmacists cited multiple reasons (i.e., problems) for their intervention. Overall, 102 problematic e-prescription orders required intervention. Participating pharmacists documented a total of 113 reasons for intervention. The most common reason for pharmacists’ interventions on e-prescriptions was to supplement omit- ted information (32.7%), especially missing directions. Other common problems included insufficient (9.7%) or excessive (8.0%) dose.

They identify problems with overdose or wrong directions on how to take the medicine, drug-drug interaction etc. I suppose that these problems would interfere with patient compliance and adherence towards the medicine.

Prescribers may be more likely to make prescribing errors when using software or software options with which they are unfamiliar.

Pharmacists in this study recognized most problems independently of computer-assisted expert systems. However, pharmacists reported that computer systems were useful in identifying non-formulary medications, drug–drug interactions, and drug–allergy conflicts. These data once again emphasize that the currently available computer-assisted drug-use review decision support systems can be helpful but are not capable of supplanting the clinical judgment of the pharmacist. Can be connected with this paper.

Several recommendations can be made to improve the safety of e-prescribing in the community practice setting. First, physicians should perform their own e-prescription data entry or at least carefully review e-prescriptions that are entered by support staff before transmission to the pharmacy. Second, prescriber- side decision support software should be enabled and routinely used. Third, e-prescribing system safeguards and decision sup- port should be improved to more closely scrutinize new prescriptions to prevent commonly occurring errors. Fourth, when developing decision support systems for e-prescribing, special emphasis should be given to dosing error prevention.