Inside the UVic research: how peer-reviewed comorbidity data reshaped HiBoop's recommendation logic

This is the long version of the UVic partnership announcement. Five changes landed in HiBoop's recommendation engine as a result of the collaboration with Dr. Jill Robinson and Cole Smith at the UVic Psychology Clinic. Each is small in isolation; together they shift how the platform thinks about a clinical session.

Risk-tiered sequencing

Comorbidity tells you what to ask. Risk level tells you how urgently to ask it.

HiBoop now applies score thresholds to dynamically route what happens next, helping clinicians prioritize the most critical profiles. Using ACE as an example:

When HiBoop identifies high risk, it elevates the priority of the next most relevant assessment and flags the result accordingly.

This is the difference between a tool that sequences assessments and one that actively supports triage.

Demographic sensitivity

Good clinical assessment doesn't happen in a vacuum. A person's gender, age, and sociodemographic context all bear on how symptoms present and how risk should be interpreted, and HiBoop now reflects that.

Trauma is a clear example. Research consistently shows higher rates among girls and women, ethnic and racial minorities, people from low socioeconomic backgrounds, children of first responders, and children of parents with substance use disorders. Where these markers are present, HiBoop's smart form technology now automatically surfaces trauma screeners alongside substance use and depression tools. Clinicians choose which assessment they prefer for each condition, and HiBoop administers it.

Indigenous identification is handled with the same care. When a patient identifies as Indigenous, HiBoop recommends the ARC or BARC, Recovery Capital assessments specifically designed to surface social barriers, historical trauma, and cultural strengths. These are not generic screeners. They are built for context.

Clinical context awareness

Not every assessment is a diagnostic measure, and many screening tools are used in ways that blur that distinction. UVic's research helped us build conditional rules that distinguish between self-report tools, screeners, and diagnostic-level evaluations, and route them accordingly.

One practical example: the SIDAS. It gives clinicians a quantitative measure of suicide ideation and a way to track trajectories over time. HiBoop's alerting logic now works as follows:

• A SIDAS score of 31 or above triggers an urgent flag via email notification or in-app alert
• The safety-planning protocol opens automatically

This is not a "smart form." This is a clinical workflow recommendation tool. There is a difference, and it matters.

Recovery and function tracking

Assessment shouldn't only capture what's wrong. It should also track what's getting better, and how fully someone is able to function and participate in their life.

UVic's research highlighted the importance of tracking Recovery Capital, Functional Impairment, and Quality of Life over time, through tools like the ARC/BARC-10, WFIRS-S, and WHOQOL-BREF. We have built programs to make longitudinal progress visible to clinicians: not just a point-in-time snapshot, but a picture of change.

The ARC, specifically, plays a key role in shaping and overseeing a recovery plan. The BARC goes a step further, surfacing the specific strengths and vulnerabilities that predict sustained remission. Seeing these alongside mental health assessment scores over time gives clinicians a richer, more complete view of the person in front of them.

Mind–body intersections

The relationship between physical and mental health is real, well-documented, and clinically underused.

HiBoop now reflects it. When somatic symptom scores are elevated (PHQ-15 of 10 or above), the platform automatically recommends parallel mental health screens, beginning with PHQ-9 and GAD-7. Research has shown a consistent correlation between elevated somatic symptom scores and the presence of both depression and generalized anxiety. The logic is simple: if this, then that. But getting "this" and "that" right requires the kind of careful mapping that UVic provided.

What this means in practice

Taken together, these changes move HiBoop closer to what we have always wanted it to be: a system that adapts its recommendations to each person's symptoms, history, background, and risk level, helping clinicians act faster, with more confidence, on what matters most.

The algorithm is not replacing clinical judgment. It is informing it. Every recommendation is a prompt for the clinician, not a prescription. But the prompts are now grounded in evidence in a way they weren't before.

For the partnership announcement and the people behind the work, see partners/uvic.