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Dryad

The survey data of patients, prescribers, and pharmacists' feedback on ePrescription systems security and privacy

Abstract

Objective: To evaluate the attitudes of the parties (i.e. patients, prescribers, and pharmacists) involved in the ePrescription systems toward the new features and measure the potential benefits of introducing the use of blockchain and machine learning (ML) to strengthen the in-place methods for safely prescribing and dispensing medication.

Methods: The survey contains questions about the features introduced in the proposed approach of using blockcahin and ML in the ePrescription system to evaluate the security, privacy, reliability, and availability of the ePrescription information in the system.

The study population is comprised of 284 respondents in the patient group, 39 respondents in the pharmacist group, and 27 respondents in the prescriber group, all of whom met the inclusion criteria. The response rate was 80% (226/284) in the patient group, 87% (34/39) in the pharmacist group, and 96% (26/27) in the prescriber group. We removed the responses of participants who did not complete the surevy questions.

Conclusion: Our survey showed that a vast majority of respondents in all groups had positive attitudes towards using blockchain and ML algorithms to safely prescribe medications. However, a need for minor improvements regarding the proposed features was identified, and a post-implementation user study is needed to evaluate the proposed ePrescription system in depth.