Personal Story
Me & Autism: Building a Space That Says Yes
Navigating a world not built for her, Dr. Jilleun Tenning found belonging by creating InFocus, a space that celebrates neurodivergence so thers can too.
Dr. Jilleun Tenning, PhD
7/6/2025
Insights Hub
Explore 7 mental health insights including expert articles and personal stories
Article
HiBoop Launches Clinical Pilot for Innovative Mental Health Assessment Platform
VICTORIA, BC (October 22, 2024) – HiBoop, a new mental health assessment platform designed to assist healthcare providers, has launched its Clinical Pilot Program in partnership with The Healing Institute.
Shannon Potts
1/27/2025
Article
One Life Recovery Needs Community Support After Devastating Fire
One Life Recovery, founded by Brett Johnson, seeks urgent community support after a devastating fire displaced residents and destroyed belongings at their Victoria recovery home. Learn how you can help these men continue their recovery journey through donations and support.
Shannon Potts
1/24/2025
Article
From Intake to Insights: The Science Behind HiBoop’s Mental Health Assessments
Mental health diagnostics have traditionally relied on in-office assessments that can be long, repetitive, and sometimes feel impersonal. These standardized questionnaires are valuable tools, but they often follow a "one-size-fits-all" approach, which doesn’t reflect the complexity of each individual’s mental health journey.
Shannon Potts
1/14/2025
Article
Fighting Question Fatigue: How Adaptive Assessments Improve Mental Health Diagnoses
Mental health assessments are essential for identifying conditions such as anxiety, ADHD, and trauma. However, traditional assessments can be lengthy and repetitive, leading to question fatigue—when individuals feel overwhelmed, disengaged, or frustrated by the sheer number of questions. This fatigue can compromise the accuracy of responses and, ultimately, the quality of the diagnosis.
Shannon Potts
1/14/2025
Article
The Ethics of Machine Learning in Mental Health: Balancing Innovation with Privacy
Machine learning (ML) is reshaping mental health diagnostics by improving the accuracy of assessments and enabling early interventions. However, applying ML in mental healthcare requires careful consideration of privacy, user consent, and emotional impact. Unlike artificial intelligence (AI) systems that attempt to mimic human interactions, HiBoop's approach focuses on controlled machine learning—using data-driven insights to enhance existing, proven assessments without replacing the human element. In this article, we explore the ethical considerations guiding the responsible use of machine learning in mental health assessments and highlight how HiBoop balances innovation with empathy and privacy.
1/14/2025
Article
Applications of Machine Learning in Mental Health Diagnostics
Mental health diagnostics are evolving through machine learning (ML), enabling faster, more accurate assessments and reducing the time to diagnosis. This post explores how HiBoop's innovative use of controlled ML enhances clinical assessments, minimizes question fatigue, and prioritizes data privacy. We also highlight how the platform supports conditions such as anxiety, ADHD, and trauma, with a focus on personalized care and adherence to global data security standards.
Shannon Potts
1/9/2025