Multi-User Management in Remote Neurofeedback and Biofeedback Practices

Digital platforms are increasingly central to delivering personalized neurofeedback and biofeedback care, enabling clinicians, psychotherapists, and coaches to monitor client progress, analyze physiological data, and maintain compliance in secure, scalable ways. As clinical teams grow and responsibilities diversify, systems that provide structured multi-user management have become essential for distributing tasks, protecting sensitive information, and improving operational efficiency. Divergence Neuro includes built-in multi-user management, allowing clinics to structure roles, assign responsibilities, and protect client data with precision.

Effective multi-user management allows clinics to move beyond single-login workflows, which can slow productivity and create bottlenecks. With role-specific access for Super Users, Therapists, and Coaches, teams can collaborate more efficiently while maintaining professional boundaries and compliance standards.

Growing clinics require systems that support scalable workflows and adaptable team structures. Divergence Neuro allows Super Users and Administrators to assign roles such as Therapist or Coach as new staff members join or take on new responsibilities. These permissions can also be updated as staff develop new competencies or advance their training.

Task-sharing models, which delegate responsibilities based on expertise and training level, have been shown to improve efficiency and expand workforce capacity in digital health settings. Task sharing involves redistributing services among healthcare professionals to make efficient use of resources, allowing providers to work at the top of their scope of practice (Hoeft et al., 2018). The World Health Organization has conceptualized this approach as a way to strengthen and scale sustainable health systems while addressing workforce shortages.

Research demonstrates that task-sharing approaches can improve the reach and effectiveness of care delivery, particularly in resource-constrained settings. Studies show that non-specialist health workers can effectively deliver mental health screening and evidence-based interventions when provided with appropriate training and supervision (Singla et al., 2017). Divergence Neuro supports this model by giving clinics a structured way to expand their teams while maintaining oversight and data integrity.

Structured role assignment also supports staff development. As clinicians or coaches progress in their training, their access can be modified to reflect increased responsibility. This approach supports safe, supervised learning while ensuring that sensitive data remains protected throughout the professional development process.