Black-Box Testing of the Interactive Prostate Cancer Information, Communication, and Support Program to Ensure Reliability for Patients and Caregivers

Fei Yu, Daria Neidre, Nibras Ar Rakib, Marcus Lambert, Chunxuan Ma, Amy C. Vondenberger, Lixin Song

Producción científica: Conference contribution

Resumen

This study evaluates the iPICS (Interactive Prostate Cancer Information, Communication, and Support) Program, a digital health psychoeducational platform designed to support prostate cancer survivorship. Utilizing black-box testing, we assessed the system's reliability, including functionality and multimedia engagement. Results indicate that the system largely adheres to its design requirements, with users efficiently searching, bookmarking, and sharing content. However, there were search result precision disparities when integrating MedlinePlus content. Notably, users actively engaged with multimedia content, highlighting its importance in digital health platforms. Areas like search algorithms and usability for older users need refinement. This research emphasizes the need for continuous evaluation in developing digital health systems.

Idioma originalEnglish (US)
Título de la publicación alojadaProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas461-465
Número de páginas5
ISBN (versión digital)9798350383737
DOI
EstadoPublished - 2024
Evento12th IEEE International Conference on Healthcare Informatics, ICHI 2024 - Orlando, United States
Duración: jun 3 2024jun 6 2024

Serie de la publicación

NombreProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024

Conference

Conference12th IEEE International Conference on Healthcare Informatics, ICHI 2024
País/TerritorioUnited States
CiudadOrlando
Período6/3/246/6/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Health Informatics

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