Krowdthink
Building privacy, security and trust in digital engagement
Innovating Mental eHealth
Taking a fresh look at how technology can, or even should, be applied systemically to the patient care, Krowd Kounselling is our investment initiative to bring our trust model for digital service delivery to the mental eHealth sector.We approach the adaptation of technology through the lens of "do no harm" to provide a safe, secure and supportive environment to drive efficacy in patient - consultant relationships and treatment.
Digital Group Therapy
Covid-19 has created an urgent demand for innovation in delivering group therapy to remote patients. In parallel society has advanced its adoption of digital technologies to augment previously in-person facilities.In the void of a tailored solution, therapeutic service providers adopt the nearest best-fit general-purpose video conferencing and messaging services. With little time or capability to carry out research of either the appropriate design or trustworthiness of the adopted digital platforms, providers are now finding that the best fit is very often a poor fit to the specific needs of their practice and the underpinnings of an effective service. The shift to digital creates a new context to re-consider the group therapy dynamic and innovatively evolve the mental eHealth platform.
Combining Human Centred Design and privacy, security and confidentiality expertise, Krowdthink has engaged with the University of Exeter Medical School, to seek ways to address these issues and move rapidly to a new group therapy platform capability.
Machine Learning in Mental Health
Machine learning is a very powerful tool. However, in the context of personal mental health there is an increasing realisation that automation must balance and facilitate enchantment of the human capability within systems and ensure the human-centred "duty of care" remains paramount.Machine Learning can be a support tool to reduce the face-to-face burden on therapists, while offering them new, more quantifiable, insights to patient progress. To achieve this, we need to carefully balance digital service delivery with appropriate transparency and control for both the therapist and patient so their trust relationship is supported, not undermined, or worse, shifted to a system in the cloud.
Some AI is ready for use as valuable insight tools for therapists. But the true ML value manifests when the therapist actively engages with a digital system because they trust it to assist them. It must evolve and react to their inputs to make better judgements based on their interventions. ML has to become a systemically integrated value in mental eHealth delivery.
