Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care

Hendrik Knoche, Alfie Abdul-Rahman, Leigh Clark, Vasa Curcin, Zhiqiang Huo, Leonardo Horn Iwaya, Oliver Lemon, Robert Mikulík, Timothy Neate, Abi Roper, Milo Marsfeldt Skovfoged, Nervo Verdezoto, Stephanie Wilson, Hamzah Ziadeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This workshop will explore future work in the area of intelligent, conversational, data-driven health interfaces both from patients’ and health care professionals’ perspectives. We aim to bring together a diverse set of experts and stakeholders to jointly discuss the opportunities and challenges at the intersection of public health care provisioning, patient and caretaker empowerment, monitoring provisioning of health care and its quality. This will require AI-supported, conversational decision-making interfaces that adhere to ethical and privacy standards and address issues around agency, control, engagement, motivation, and accessibility. The goal of the workshop is to create a community around intelligent data-driven interfaces and create a road map for their future research.
Original languageEnglish
Title of host publicationCHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Print)9781450394222
Publication statusPublished - 19 Apr 2023


  • NLP
  • agency
  • care pathways
  • clinical settings
  • conversational user interfaces
  • data sharing
  • data-driven interfaces
  • decision support
  • healthcare professionals
  • patient engagement
  • patient journey
  • patient-clinician interaction
  • trust

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software


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