Environmental Culture: How Organizations Can Drive Real Sustainable Change

In the face of climate urgency, more companies than ever are committing to sustainability goals. Net-zero targets, ESG strategies, circular business models—the language is in place. But real transformation isn’t only about policy or ambition. It’s about whether sustainable action … Continue reading Environmental Culture: How Organizations Can Drive Real Sustainable Change

Keeping mental health care on track: How digital mental healthcare held up during the COVID-19 pandemic

What we looked atOur team from Karolinska, WeMind Psykiatri, Gothenburg University and Stockholm University analyzed data from 2,290 outpatients treated between 2017 and 2022. Using standardized … Continue reading Keeping mental health care on track: How digital mental healthcare held up during the COVID-19 pandemic

NEW PREPRINT PUBLISHED: Enhancing Depression Treatment Outcomes Through Measurement-Based Care and Continuous Quality Improvement

In our recent study, we explored how integrating measurement-based care, benchmarking, and continuous quality improvement (CQI) can enhance treatment outcomes for depression within specialized mental healthcare … Continue reading NEW PREPRINT PUBLISHED: Enhancing Depression Treatment Outcomes Through Measurement-Based Care and Continuous Quality Improvement

Unlocking Better Mental Health Outcomes with Measurement-Based Care (MBC)

Mental health challenges impact millions globally, and as mental health professionals, our goal is to provide the best care possible. Traditional treatment often relies on clinical intuition and subjective assessments, which can lead to less-than-ideal outcomes. This is where Measurement-Based … Continue reading Unlocking Better Mental Health Outcomes with Measurement-Based Care (MBC)

“To get to the good stuff, you need to do the boring stuff.” – First lesson learned from Harvard Business School

Two weeks into the course “Data Science” at Harvard, here are some reflections and a doodle that I made during the course. 📈 Serious data science that leads to data-based decision making follows a five step model (my simplified modification from Harvard’s original model): 1. What’s the problem? Make a specific, measurable definition of what the problem is. My experience: Often people pass over this stage too quickly, just to discover that they do not really know what problem they want to solve. Make it specific, make it measurable. 2. Get the data & wrangle it Data wrangling is a … Continue reading “To get to the good stuff, you need to do the boring stuff.” – First lesson learned from Harvard Business School