Research & Insights
Evidence-based resources for measurement-based care, clinical validation, and modern mental health practice.
Featured
Sep 1, 2026
DSM-6 Release Date: None Set Yet, and What the APA's Roadmap Says
There is no DSM-6 release date: the APA has not announced one, and DSM-5-TR (2022) remains the standard. Outside estimates point to around 2030.
Jason Morehouse
Editor's Picks
ArticleOct 26, 2026Hi. Meet our new advisory board
Five people from clinical practice, community pharmacy, health data science, privacy and product design, helping HiBoop build care tools that hold up.
Madeline Geneau
ArticleMay 26, 2026The Clinical Evidence for Measurement-Based Care
Session-by-session outcome measurement — the Lambert evidence, Shimokawa meta-analysis, and PCOMS framework — with which scales to use and how to bill CPT 96127.
Jason Morehouse
ArticleMay 26, 2026Therapeutic Alliance in Mental Health: Evidence, Measurement & Outcomes
The therapeutic alliance predicts outcomes more than any specific technique. Here's what it is, why it matters, and how to measure and improve it session by session.
Jason Morehouse
Stories
StoryMar 12, 2026"We finally had data that matched our care": how Alongside You made insight matter with HiBoop
Andrew Neufeld built Alongside You on a conviction that progress should be something you can see, feel, and hold onto. HiBoop became the missing link.
Madeline Geneau
StoryJul 6, 2025Me & 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 others can too.
Dr. Jilleun Tenning, PhD
Latest
- May 5, 2026
Inside the UVic research: how peer-reviewed comorbidity data reshaped HiBoop's recommendation logic
A clinical deep-dive into the five algorithm changes that came out of HiBoop's research collaboration with the UVic Psychology Clinic, risk-tiered sequencing, demographic sensitivity, clinical-context awareness, recovery and function tracking, and mind–body intersections.
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- Mar 12, 2026
"We finally had data that matched our care": how Alongside You made insight matter with HiBoop
Andrew Neufeld built Alongside You on a conviction that progress should be something you can see, feel, and hold onto. HiBoop became the missing link.
Read story - Mar 9, 2026
AuDHD: What Happens When ADHD and Autism Coexist
50–70% of autistic people also meet criteria for ADHD. This isn't a diagnostic edge case. It's a common presentation with its own clinical fingerprint. Here's what AuDHD looks like in adults, why it gets missed, and what screening should actually cover.
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- Jul 6, 2025
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 others can too.
Read story - Jan 14, 2025
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.
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- Jan 14, 2025
The Ethics of Machine Learning in Mental Health
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 outcome data 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 these goals with empathy and privacy.
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