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Leveraging Mobile Technology to Improve Efficiency of the Consent-to-Treatment Process.

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PURPOSE This study reports on the implementation of an electronic consent-to-treatment system (e-Consent) in a busy radiation medicine program and compares it with the previous paper-based method of documenting patient… Click to show full abstract

PURPOSE This study reports on the implementation of an electronic consent-to-treatment system (e-Consent) in a busy radiation medicine program and compares it with the previous paper-based method of documenting patient consent. METHODS A password-protected, electronic, e-Consent application was designed in-house and installed on iPad devices to document patient consent for radiation therapy treatments. A feasibility study, followed by a program-wide deployment of e-Consent, was executed. The effectiveness and impact of e-Consent on workflow were determined by comparing the number of problems arising from the paper-based consenting method with those from the e-Consent process. Staff satisfaction and perceived impact of e-Consent on workflow were determined by a program-wide survey of e-Consent users. RESULTS The e-Consent completion rate was 94.2% (5,600 of 5,943 forms) 1 year after implementation, indicating successful uptake at the program level. Although the paper-based method of documenting patient consent was associated with an error rate of 7% (24 of 343 forms), e-Consent was associated with an error rate of 0.32% (18 of 5,600 forms) 1 year after deployment. Results of a 10-item e-Consent user survey indicated improvement in staff workflow and high overall satisfaction with e-Consent. CONCLUSION e-Consent is more efficient than paper-based methods for documenting patient consent. Moreover, replacing paper-based consent methods with an electronic version facilitated an improved workflow and staff satisfaction. Efforts aimed at implementing e-Consent throughout the entire cancer program are currently underway.

Keywords: paper based; patient consent; consent treatment; program; consent

Journal Title: JCO clinical cancer informatics
Year Published: 2017

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