Adaptive Digital Encounters: An approach for reducing digital impact on outpatient flow

Abstract

Healthcare service delivery has been greatly impacted by the current Covid-19 pandemic. One of the key drawbacks of the current Healthcare Management Information Systems (HMIS) is the lack of research towards improving the user's experience before, during, or after interacting with the digital system, product, or service. This has further increased the amount of cognitive load experienced by healthcare providers. Adaptive Digital Encounters (ADE) provide a mechanism for dynamically generating and upgrading the user interfaces of healthcare and wellness applications, by incorporating past histories of the patient data. It also integrates various medical devices to automate the process of collecting vital signs and reduces the burden of inserting data. This paper provides the basic building blocks which were employed to incorporate the ADE into a live application. Our results indicate an above-average score of 1.13 (-3 to +3) using the UEQ-S questionnaire, indicating a positive UX evaluation from 11 participants.