SanLuca’s clinical AI platform is grounded in evidence-based protocols and real-world care workflows, supporting a more longitudinal, integrated approach to chronic care.
By embedding behavioral and clinical insight into everyday decision-making, the platform helps clinicians deliver consistent, high-quality care while enabling organizations to operationalize a new model of care - safely and with real impact - across teams.
SanLuca’s architecture is designed to align with provider-specific protocols, care pathways, and workflows while supporting a more integrated, longitudinal model of care.
The platform uses living, editable clinical frameworks that providers can review and refine, ensuring care remains transparent, trustworthy, and grounded in clinical standards as practice evolves. This allows us to serve as a vital “practice layer” where clinicians can build fluency with new protocols before deploying them in live patient care.
SanLuca supports both patient-facing care and clinician-facing tools that strengthen how care is delivered.
Grounded in established clinical protocols, these applications help integrate behavioral health into everyday chronic care while supporting more consistent, context-rich decision-making across a range of real-world scenarios. It includes structured clinical environments where teams can apply these protocols using AI-supported tools, helping organizations introduce this integrated model of care in a deliberate and operationally sound way.
The result is care that is more continuous, scalable, and aligned with a more integrated model of practice.
SanLuca is designed to meet clinicians where they are.
Integrating behavioral health into chronic care does not happen overnight. It requires thoughtful changes to workflow, coordination, and clinical practice, often introduced one initiative at a time.
Built with workforce adoption in mind, SanLuca enables health systems to train and simulate the integration of behavioral health into chronic care using virtual patients in realistic, competence-based interactions. Clinicians can build familiarity and confidence with AI-supported care before deploying it with live patients.
The platform integrates into existing workflows and can be adopted modularly, allowing organizations to start with targeted use cases and expand over time.
The result is a practical, staged path to integration that strengthens chronic care delivery without large-scale disruption or added burden on clinicians.
SanLuca currently supports behavioral health and palliative care. Because our platform is designed for rapid configuration, we can introduce additional specialty lines quickly, with expansion already planned across a broad range of service lines.
