Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare

Pac Symp Biocomput. 2021:26:351-355.

Abstract

Research into AI implementations for healthcare continues to boom. However, successfully launching these implementations into healthcare clinics requires the co-operation and collaboration of multiple stakeholders in healthcare including healthcare professionals, administrators, insurers, legislators, advocacy groups, as well as the patients themselves. The co-operation and collaboration of these interprofessional groups is necessary not just in the final stages of launching AI based solutions in healthcare, but along each stage of the research design and analysis. In this workshop, we solicited talks from researchers who have embraced the idea of interprofessional collaboration across many different stakeholder groups at multiple stages of their research. We specifically focus on projects which included heavy collaborations from healthcare professionals, embraced the research subjects' communities as critical research partners, as well as included researchers who are advocating for systemized changes to include interprofessional stakeholders as evaluators of AI research in healthcare.

MeSH terms

  • Artificial Intelligence
  • Computational Biology*
  • Cooperative Behavior
  • Delivery of Health Care*
  • Health Personnel
  • Humans