How does HiBoop work?
HiBoop simplifies the complexity of behavioural health intake by using a smart, guided flow that matches assessments to the individual's needs. The platform helps clinicians focus more on care and less on paperwork.
HiBoop simplifies the complexity of behavioural health intake by using a smart, guided flow that matches assessments to the individual's needs. The platform helps clinicians focus more on care and less on paperwork.
Step-by-step process
- Start with a Prescreen Individuals complete a short, structured intake that helps identify areas of concern (e.g., anxiety, depression, trauma).
- Assessment Matching Based on the prescreen results, HiBoop recommends a personalized bundle of validated assessments.
- Clinician Review Clinicians can approve, modify, or assign additional assessments as needed.
- Patient Completion Assessments are sent via secure link or completed in session. Reminders and status updates are built in.
- Automated Scoring & Reports Results are scored automatically. Dynamic reports show trends over time and can be used for intake, progress updates, and discharge summaries.
Technical Details
The Prescreen doesn’t map one-to-one to specific full assessments. Instead, each question in HiBoop, whether part of the Prescreen or a later form, is linked to one or more clinical conditions. When a patient responds, their answers contribute weight toward the likelihood that a given condition may be relevant for further evaluation.
HiBoop then strengthens these predictions by factoring in established relationships between conditions. For example, if symptoms strongly associated with one condition appear, related conditions may also gain a smaller amount of weight.
Once the system identifies the conditions most likely to be clinically relevant, it automatically recommends the Preferred Assessments associated with each condition. These are the validated tools your clinic has identified as the most appropriate next step for screening or diagnostic clarification.
In short:
- Each question contributes evidence toward one or more conditions
- Conditions accumulate weight based on patient responses and clinical comorbidity patterns
- The system recommends the most clinically suitable full assessments based on these predictions
This approach gives clinicians a fast, data-informed starting point for deciding what to evaluate next while preserving flexibility and clinical judgment.