Why Choosing a New EHR Should Start at the CEO’s Desk

Why Choosing a New EHR Should Start at the CEO’s Desk

Scaling a Mental Health Practice: A Guide for Executives

Managing Growth with Efficiency and Care

Breaking the Cycle: How an Integrated “Cure Violence” Program Can Transform Communities

Addressing Gang Violence and Homelessness Through Behavioral Health and Community Collaboration

Behavioral Health’s Model Door Model Explained

Behavioral Health’s Model Door Model Explained

How Payers Are Using AI to Outpace Manual Claims

How Payers Are Using AI to Outpace Manual Claims

Watch for Radical Improvement in Scaling, Integration, and Innovation Ahead in Behavioral Health

Five Predictions for the Future

Healthcare Needs a Social Capital Model

The network effect of hyper-localized healthcare will save your practice and drive better results.

Meet Healthcare Worker’s Next Side Hustle; Making AI Smarter

Kosice seemed the most unlikely place for it. Were our advisors wrong?

Why Most Published Research Findings Are False

Will future patient outcome models face a rocky future with value-based healthcare

Is Fee-for-Service driving low pay for behavioral health workers?

Selling value vs. time makes healthcare work.

Did Behavioral Health just reach its Sun Tzh moment?

Mental health parity has reached its Sun Tzh moment

Can Behavioral Health Emerge As Healthcare’s Most Valuable Care Specialty?

There’s a lot of evidence out there to support the thesis that behavioral health could emerge as a high-value care specialty.

Can AI Save Value-Based Healthcare?

Why AI is a key value-creator needed for next generation health care

Are we entering an era of great clinical augmentation?

Why a clinicians' viewpoint always works better with longitudinal patient reported data

Should You Trust AI With Your Healthcare?

Forget out-of-the-box GPT. Here are five interpretability standards for training your AI to recognize human intent.

We spent 5 million hours engineering AI to work with Behavioral Health: Here’s what we learned.

The article describes the process of engineering artificial intelligence (AI) to work with behavioral health, and the insights gained from this effort. The authors share the importance of using a human-centered approach in developing AI tools for mental health care, as well as the potential for these tools to improve access to care, reduce stigma, and enhance treatment outcomes.

Why value-based care is the most misunderstood concept in healthcare.

Value-based care, which prioritizes patient outcomes over the quantity of services provided, is often misunderstood due to its complex and multifaceted nature, as well as the significant changes it requires in healthcare delivery and payment systems. This has led to challenges in implementing and scaling value-based care initiatives across the healthcare industry.

When Community Health Care Missions Fail

I arrived at Dallas Love Field by private aircraft in the Fall of 1984. I was there interviewing for a job in venture capital. I am quite sure today that, at the time, I had never seen how the super-success class moved around. There was no comparison between the faux-leather in my Chevrolet Malibu and the imported leather I didn’t want to leave behind as we taxied into the flight base operation. I was there to meet a Texas icon, who I would later realize to be among the most influential mentors in my life. It was not hard to be impressed. The Highland Park penthouse. The grand portrait of him looming over me. Not surprisingly, a little brass plaque indicated it was painted by James Anthony Wills the artist who had painted President Richard Nixon that same year. The Bible on his desk was a subtle reminder this man had his priorities in the right place. The appreciation plaques from dozens of his philanthropic causes lined his bookshelf.

GPT-4 Why behavioral healthcare is going to L.O.V.E. it

No doubt there remains only a remote tribe near the Artic who has never heard of ChatGPT or its big brother GPT-4 Turbo or its variations. It’s at the top of the hype-cycle and the topic of conversation at every cocktail party on the planet. Naturally, there’s going to be an expert born every second for awhile. On the other hand, a lot of innovation is going to occur - fast! One thing is certain: Silicon Valley needs a next big thing and they just got their wish.

9 most important integrations are ahead for Augmented Intelligence. Here’s the list.

The article lists nine important integrations that are expected to shape the future of Augmented Intelligence (AI), including natural language processing, computer vision, machine learning, and robotics. These integrations have the potential to revolutionize various industries and enhance the capabilities of AI-powered systems.

We asked patients one million questions last year. This is what we learned.

The article highlights insights gained from asking patients one million questions over the course of a year, including the importance of patient-centered care, the value of listening to patients' perspectives, and the need for healthcare providers to tailor their approaches to individual patients' needs and preferences. The data collected through this extensive survey can help inform efforts to improve patient experiences and outcomes.

The Science Behind Habits: Why AI may come to understand you better than you

The article explores the science behind habits and how artificial intelligence (AI) is being used to analyze and predict human behavior, including the formation and maintenance of habits. With advances in AI technology, it is becoming increasingly possible for AI systems to understand individuals' habits better than they do themselves, which could have significant implications for personalization and decision-making in various industries.

Welcome to Digital Health's Future: Meet Your Digital Twin

Digital Health is one of the fastest growing technologies in healthcare. Edge devices, or remote digital electronics, can measure patient progress, actively or passively, and instantly send those signals to care providers. This data, collected by patients, introduces real-world evidence in "digital twin" science that can predict which characteristics may determine outcome success, or failure.