We harness user-generated objective and subjective markers surrounding sleep, physical activity, and app usage in order to better understand the health of individuals with schizophrenia and to share their progress with providers.
Peer-to-peer anonymized feedback is combined with evidence-based intervention content to support, inform and create a cohesive digital experience combined with features for care coordination and medication adherence.
Extensive experience in the power of machine intelligence allows us to learn, build the features and predictive models related to subjective and objective predictors in changes in health status and outcomes.
Evidence based strategies enhance wellness and coping through content personalization
Personalized tools include goal tracking, ambient noise detection and short patient diaries for clinician review
Clinician tools for virtual care and home monitoring to facilitate higher levels of care coordination accessible through an intuitive dashboard layout
Curated CBT-based content to address 4 main topics: living with schizophrenia, social activation, stress and anxiety, motivation and cognition
Using personalized prompts, lead-ins and scheduling of activities to increase socialization and community participation
Provides an anonymous peer-to-peer support platform and opportunity to safely connect with others
Ambient noise detection for assessing the validity of auditory hallucinations coupled with hallucination detection strategies that help you learn to cope with your hallucinations.
Effective care engagement is routinely challenged by brief, infrequent clinical contacts, heavy cognitive demands, illness complexity, medication non-adherence, anxiety, non-adherence to care-related plans, and system constraints.
Current provider constraints limit many aspects of the clinical interaction, including risk identification and care planning, which can leave patients feeling disempowered and disengaged from the treatment process. Provider-patient interactions are extremely important to clinical outcomes and, as such, are a domain where small improvements can lead to large benefits.
A4i Addresses:
“Our limitations in better supporting people with illness self-management and challenged treatment engagement, with medications and otherwise, frequently lead to a rapid deterioration in mental health and major setbacks including hospitalizations. Our current efforts, from services to systems, are not enough.” – Dr. Sean Kidd, Associate Professor University of Toronto Department of Psychiatry, Clinical Associate Yale Department of Psychiatry. Chief Psychology Division, CAMH.
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