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Using Technology to Personalize Behavioral Health Treatments
It’s no surprise that behavioral health providers are exploring how technology and artificial intelligence (AI) can improve patient care and support clinicians. Issues like burnout, the nationwide shortage of clinicians, and administrative burdens can be (at least) partially addressed by new...
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The Benefits of Robotics and AI for Children and Behavioral Health
As children grapple with increasing levels of anxiety and stress, teachers have struggled to cater to diverse learning needs in overcrowded classrooms, and clinicians are experiencing an overwhelming caseload. Robotics and artificial intelligence have the potential to transform child development in...
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Empowering Care: Leveraging AI in Helplines and Telehealth
“I’m sorry, Dave, I’m afraid I can’t do that.” (2001: A Space Odyssey, 1968) “I’m going to enjoy watching you die, Mr. Anderson.” (The Matrix, 1999) “I’ll be back!” (The Terminator, 1984) Our cultural imagination is packed with images of terrifying,...
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Enhancing Therapeutic Conversations with Sentiment Analysis in Natural Language Processing
Therapy can greatly enhance an individual’s ability to communicate effectively during challenging times. Therapeutic discussions are essential in mental health care. They play a crucial role in mental health treatment by enabling patients to delve into their emotions, past traumas, and life...
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Revolutionizing Behavioral Health Through Technology and AI: The Promise of Personalized Care
The behavioral health field is at a moment when old models of care, and associated delivery mechanisms, are insufficient at meeting the ever-increasing demand for services, especially as it concerns a need for more personalized care choices. At the same time, the field is undergoing remarkable...
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Smart and Ethical Recovery: AI in Addiction Treatment
Artificial Intelligence (AI) can potentially revolutionize Addiction Treatment. This complimentary technology can aid clinicians and organizations by personalizing interventions and treatments, generating predictive analytics, aiding clinicians in optimizing workflows, and even reaching patients...
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How New York Psychotherapy and Counseling Center Uses Data Analytics to Expand Access and Improve Behavioral Healthcare for Underserved Communities
The ongoing mental health crisis, exacerbated by widespread staff shortages across behavioral health providers, has highlighted the urgent need for accessible, high-quality mental health services, especially in underserved urban communities. In New York City, organizations like New York...
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BI Before AI: CBC’s Journey to Develop a Comprehensive In-House Business Intelligence Platform From Which to Launch AI Projects
Integrated-whole-person care requires integrated-whole-person data, yet most healthcare data is scattered across disparate sources. Even when behavioral health organizations and Independent Practice Associations (IPAs) make large financial investments into data platforms and the IT resources to...
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AI in Health Insurance: Ensuring Accountability and Oversight in an Evolving Landscape
One might say Artificial Intelligence (AI) is a double-edged sword. It has already proven helpful in streamlining and automating repetitive tasks in many areas of daily life. Yet, AI is also full of risks and dangers when not appropriately balanced with human supervision. In October 2023,...
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Using Big Data Analytics to Predict and Prevent Mental Health Crises
In recent years, mental health crises and suicide rates have surged across America. This concerning trend spans demographics, with 11.5% of youth (over 2.7 million people) reporting severe major depression and 20.78% of adults (over 50 million people) facing some form of mental illness. The...
