AI Medical Compendium Journal:
Administration and policy in mental health

Showing 1 to 10 of 11 articles

The Promise and Challenges of Practice-Oriented Research: A Commentary on the Special Issue.

Administration and policy in mental health
At the centre of POR is the concept of collaboration between patients, therapists, agencies, and third-party payers. For this commentary, I review the articles of the special issue with attention to both the opportunities and challenges offered by pr...

Practice-Oriented Research: An Introduction to New Developments and Future Directions.

Administration and policy in mental health
Aimed at understanding and improving psychological therapies as they are conducted in clinical routine, practice-oriented research (POR) is now a well-established approach to the scientific foundations of mental health care services. Resting on the a...

Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks.

Administration and policy in mental health
Social interactions are essential for well-being. Therefore, researchers increasingly attempt to capture an individual's social context to predict well-being, including mood. Different tools are used to measure various aspects of the social context. ...

A Tutorial Introduction to Heterogeneous Treatment Effect Estimation with Meta-learners.

Administration and policy in mental health
Psychotherapy has been proven to be effective on average, though patients respond very differently to treatment. Understanding which characteristics are associated with treatment effect heterogeneity can help to customize therapy to the individual pa...

Leveraging Novel Technologies and Artificial Intelligence to Advance Practice-Oriented Research.

Administration and policy in mental health
Mental health services are experiencing notable transformations as innovative technologies and artificial intelligence (AI) are increasingly utilized in a growing number of studies and services.These cutting-edge technologies carry the promise of sub...

Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision.

Administration and policy in mental health
To capitalize on investments in evidence-based practices, technology is needed to scale up fidelity assessment and supervision. Stakeholder feedback may facilitate adoption of such tools. This evaluation gathered stakeholder feedback and preferences ...

Predicting Future Service Use in Dutch Mental Healthcare: A Machine Learning Approach.

Administration and policy in mental health
A mental healthcare system in which the scarce resources are equitably and efficiently allocated, benefits from a predictive model about expected service use. The skewness in service use is a challenge for such models. In this study, we applied a mac...

Can Artificial Intelligence Improve Psychotherapy Research and Practice?

Administration and policy in mental health
Leonard Bickman's article on the future of artificial intelligence (AI) in psychotherapy research paints an encouraging picture of the progress to be made in this field. We support his perspective, but we also offer some cautionary notes about the bo...

Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health.

Administration and policy in mental health
This conceptual paper describes the current state of mental health services, identifies critical problems, and suggests how to solve them. I focus on the potential contributions of artificial intelligence and precision mental health to improving ment...

Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...