Cornell Tech / Healthcare

YADL

Improve the efficacy of reporting ADLs

YADL: Your Activities of Daily Living - An image-based survey designed to improve both fidelity and user experience in reporting ADLs

Context & Challenge

Healthcare professionals use Activities of Daily Living (ADL) to characterize a patient’s functional status and to determine and evaluate the effectiveness of treatment plans. ADLs are traditionally measured using standardized text-based questionnaires and the primary form of personalization is in the form of question branching logic.

Process

In order to hold the promise for improving the efficacy of reporting ADLs and enhancing doctor-patient communications. Inspired by PAM and other image-based interfaces, YADL uses images of ADLs to improve patients’ experience and survey efficiency. YADL is designed to be personalized, engaging and easily accessible. Pervasive smartphone adoption makes it feasible to consider more frequent patient-reporting on ADLs.



We took many different image to test with users and based on our previous feedback on the images. We decide to take photos only focus on the activities to avoid distraction and confusion. By considering with the scale of different age, gender and race of the user, We design it with personalized functions to generate different images to be able to reflect user’s life.



Additionally, we encourages users to provide customized activity descriptions to construct a personalized, fine-grained profile of their ADL functionality. YADL-reported data can be presented directly to clinicians along with other patient data, and made available with other patient-approved applications via an API.

Publications

Longqi Yang, Diana Freed, Alex Wu, Judy Wu, JP Pollak, Deborah Estrin, Your Activities of Daily Living (YADL): An Image-based Survey Technique for Patients with Arthritis. 10th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2016.

Download paper

Credit

Longqi Yang, Diana Freed, Alex Wu, Judy Wu, JP Pollak, Deborah Estrin

Prototypes

  • Landing page
  • Personalization
  • Assessment
  • Customization

Implemention

Credit

Longqi Yang, Diana Freed, Alex Wu, Judy Wu, JP Pollak, Deborah Estrin