What is the HiBoop 'Recommendation Algorithm'?

HiBoop’s recommendation algorithm is a core feature that personalizes the assessment process while saving time for both clients and clinicians.

How it works

1. Start with a prescreen Clients complete a brief, structured intake that covers a wide range of mental health symptoms.
2. Smart matching Based on the answers, HiBoop’s algorithm identifies patterns and recommends the most relevant validated assessments.
3. Clinician oversight Clinicians can review, approve, or adjust the suggested assessments as needed.

Example

If someone reports trouble sleeping and frequent worry, the algorithm may suggest:

• GAD-7 (Generalized Anxiety)
• PHQ-9 (Depression)
• DASS-21 (Depression, Anxiety, and Stress Scale)

The goal is to capture the nuances of mental health while maintaining efficiency and accuracy.

Clinically informed

The algorithm is designed in collaboration with clinical advisors and is grounded in DSM-based logic and research-backed symptom mapping.

Unlike AI-generated recommendations, HiBoop's algorithm uses deterministic rules built from clinical expertise, not a black box. Clinicians review and approve recommendations before assessments are issued.

Learn more about the clinical methodology behind HiBoop on the Science page, or browse the assessment library to see the instruments the algorithm draws from.

Can I turn it off?

Yes. You can disable the recommendation algorithm in your clinic settings and manually select assessments for each patient. See Can I disable the recommendation algorithm?