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Navigating paradigms: between evidence-based and data-driven medicine 
Alina Geampana (Durham University)
Tiago Moreira (Durham University)
Teun Zuiderent-Jerak (VU Amsterdam)
Lea Loesch (VU Amsterdam)
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Combined Format Open Panel

Short Abstract:

The panel’s aim is to explore the intersections, tensions, and generative zones of convergence between evidence-based-medicine and data-driven medicine. We invite contributions that speak to the relationship between established evidence norms and big data transformations in healthcare.

Long Abstract:

The evidence-based-medicine (EBM) paradigm has been the “gold standard” for knowing and reasoning in medicine over the past few decades. Relatedly, much STS work has been concerned with exploring how evidence is produced, evaluated, and standardised in various healthcare and regulatory settings. More recently, however, big data is increasingly seen as a key transformation driver in medical research and the development of new medical technologies and alternative ways of gathering information about our bodies and healthcare practices. Arguably, the transformations associated with data-driven healthcare sit in uneasy tension with more traditional understandings of evidence generated through the EBM paradigm. Our panel’s aim is to explore the relationship between EBM and data-driven healthcare by asking: Where and how do they intersect? How do tensions arise and what are generative “zones of convergence”? How might one challenge the other? How might their co-existence and/or co-production transform healthcare? What shifts and understandings arise at the intersection of EBM and big data approaches in medicine? STS's strong tradition of studying knowledge practices allows insights and experiments into nuanced and subtle shifts. This approach goes beyond a logic of hype and critique. STS perspectives prompt us to investigate conceptually, empirically, and experimentally, the underlying assumptions, power dynamics and socio-cultural implications inherent in both approaches as well as the potential and situated of their encounters. This is a combined format open panel welcoming academic paper presentations, workshops as well as dialogue sessions. Potential topics include, but are not limited to:

- Data-driven biomedical innovation

- Data-driven healthcare (DDHC) organisaton

- Regulatory adaptation, e.g. ‘real-world evidence’

- Epistemological shifts

- Stakeholder engagement and agency

- Health professionals navigating EBM/DDHC

- Health interventions and experiments

- Pluralism, diversity and the marginalisation of knowledges/actors

- The use of technologies and infrastructures

- Case Studies in complex, entangled environments

Accepted contributions:

Session 1
Session 2