NEWS

Stakeholders First

MDR in AIS is addressing stroke care challenges, increasing understanding of workflows and the roles of technology in optimising care. Stakeholder involvement is a core component of our research since even the best innovations can have no positive impact if not used by stakeholders. This helps to address the widening translational gap where data and artificial intelligence (AI) solutions are developed but not implemented in clinical practice.

The Translational Gap:

A systematic review of AI in intensive care highlighted the gap between AI model development and integration into clinical workflows. An increasing number of these models are being developed although few are routinely used in practice and the number is not increasing[1].

Stakeholder Involvement:

A key method to reducing this gap is involvement of stakeholders in research and technology development to quickly and effectively address potential barriers to adoption. Key stakeholders include various healthcare professions, patients and hospital management. Research shows that they can hold positive attitudes towards AI although they raise important questions such as efficacy concerns and consequences for decision-making responsibility[2]. Stakeholder concerns can be significant barriers to technology adoption and studies suggest actively integrating their involvement into research and development to address this.

We are holistically improving our understanding of stroke care workflows with broad stakeholder involvement. This will not only identify important care challenges, but also help us understand how healthcare systems can best prepare to implement change successfully.

Author: Richard Mospan, Lausanne University Hospital

Reference(s):

  1. Van De Sande D, Van Genderen ME, Huiskens J, Gommers D, Van Bommel J. Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit. Intensive Care Med. 2021 July;47(7):750–60.
  2. Amann J, Vayena E, Ormond KE, Frey D, Madai VI, Blasimme A. Expectations and attitudes towards medical artificial intelligence: A qualitative study in the field of stroke. Canzan F, editor. PLOS ONE. 2023 Jan 11;18(1):e0279088.
  3. Li LT, Haley LC, Boyd AK, Bernstam EV. Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review. J Biomed Inform. 2023 Nov;147:104531.

Keywords: #Stakeholder, #TechnologyAdoption