Our solution
Connecting and coordinating physicians, counsellors, patients and care teams via data driven technology.
Screening
By screening groups of students, employees, first-responders and patients, we can identify a small problem before it becomes a big problem.
Assessment
By distilling 26 assessments, for 40 different conditions into one and testing these on thousands of patients, we cover more ground, more accurately, in less time.
Decisional Support
By collecting the right data, the right way, analyzing and projecting it onto dashboards and reports, making clinicians' life easier, saving time and generating more income.
Monitoring
By allowing patients to follow their progress between visits, they become more engaged, which improves outcomes, decreases adverse events and lowers health costs.
Our customers
Workplace
Increase productivity, and engagement amongst employees while decreasing disability, absenteeism and workplace conflict.
Academic
Screening, assessment, referral and treatment with full HIPAA complaint monitoring.
First
Responders
Customizing virtual assessment and monitoring for these high risk populations.
Clinical
Augmenting clinician experience with systematically quantifying social, and emotional behavioral metrics.
Our story
We have created Epiphany360 to mitigate the suffering via human-centred technology backed by 25 years of clinical experience and scientific data. We have packaged over 100,000 patient encounters into a simplistic user focused software.
Why us?
Mental health assessment and treatment is the weakest link in the health care chain. Thousands have experienced the pain and devastation that accompany mental health concerns. The current health system poorly aligns with real patient needs. The fallout from this addresses issues such as:
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Workplace disability
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Opioid crisis
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Teen suicide
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Homelessness
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PTSD
20
Trusted Years
400
Satisfied Customers
80
Staff Members
600
Clean Spaces
Mental health treatment is out of date.
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Assessments are dated.
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Care is fragmented.
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Access is limited.
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Monitoring is poorly handled with limited patient improvement.
Why measure mental health?
The use of health indicators for mental health surveillance is critically lacking. Mental health indicators currently in use do not capture the broad spectrum of severity that characterizes this field.
Our platform is powered by machine-learning to compare treatments and outcomes to continuously improve the validity and accuracy of unique patient care options.