Digital health interventions (DHIs) have reached a point where their value is rarely in question, while their fit often is. Many interventions work in studies and stall in routine care. They are either not personal enough for the individual patient, or not embedded well enough in the processes, conversations and relationships that make up care. Scale-IT-up 2027 addresses the development and scaling of innovative DHIs through two illustrative fields that are currently changing what fit can mean: agentic digital therapeutics (agentic DTx) and digital-enabled blended care. Both serve as lenses on the broader question of the workshop, not as its boundaries. Contributions from other areas of DHI development and scale-up are explicitly welcome.
Agentic DTx bring agentic AI into the most demanding class of DHIs: evidence-based, clinically validated and regulated therapeutic software. Agentic systems pursue goals over time, maintain context across interactions, use tools and communicate with patients, clinicians and information systems alike. Within a digital therapeutic, these capabilities open new ways to personalize therapy and to embed it in care. A therapeutic that can explain, ask, adapt and hand over is no longer a standalone app. It becomes a participant in care communication. At the same time, agentic DTx sharpen a fundamental tension. Therapeutic claims rest on a validated and reproducible intervention, while agentic behaviour is adaptive and partly unpredictable. How agentic DTx can be designed, evaluated, certified and reimbursed without giving up either their adaptivity or their evidence base is an open question for research and regulation alike.
Blended care reflects a shift in care processes. Pathways are moving away from telemedicine only or digital therapeutics only towards hybrid formats in which digital and face-to-face elements flow naturally into each other. In such pathways, the conversation between patient and clinician continues between appointments. The clinician becomes a second user whose workload, view of the patient and decisions determine whether an intervention survives contact with routine care.
The two fields meet where modern patient–clinician communication is being redefined. Rather than replacing clinical contact, agentic DTx can become the connective tissue of blended pathways by preparing consultations, following up on them, triaging, and translating between patient-generated data and clinical decisions. The workshop therefore works from a single premise: DHIs scale when they fit both the individual and the setting, and when they are able to communicate across the boundaries between patient, clinician and care system.
The workshop brings together researchers, clinicians, designers, developers and implementers. We welcome research and practical contributions from all stages of the research process, from early concepts and study protocols to evaluations, case studies and lessons learned from implementation. Contributions may address, but are not limited to, the transformation towards more personalized and scalable DHIs, with a view on their design, implementation, outreach and regulation as well as on questions of human-AI interaction. We welcome full research papers, position papers, case studies and best practice reports.