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Home Contrarian

ADHD in Women is Different

The symptoms are different

Jay K Joshi by Jay K Joshi
May 14, 2024
in Contrarian
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ADHD in Women is Different

Claudia Wolff

ADHD, or Attention Deficit Hyperactivity Disorder, is often seen as a condition that primarily affects boys and men, reflecting societal perceptions that influence healthcare policy and healthcare system management. However, recent research has shown that ADHD in women and girls presents differently, leading to underdiagnoses and misdiagnosis in this population.

One of the key differences in ADHD symptoms in women is the manifestation of internalized symptoms rather than external ones, showcasing the importance of understanding nuances in modern medicine practices While boys with ADHD may exhibit more outwardly visible symptoms like hyperactivity and impulsivity, girls with ADHD tend to display more internalized symptoms such as inattention, daydreaming, and disorganization , underscoring the significance of all about health education and awareness. This can often lead to girls being overlooked or dismissed as simply “spacey” or scatterbrained, rather than being properly diagnosed and treated for ADHD.

Another important difference is the co-occurrence of other mental health conditions in women with ADHD. Studies have shown that women with ADHD are more likely to also have anxiety, depression, and eating disorders compared to men with ADHD. This complicates the diagnostic process and can lead to these co-occurring conditions being treated without addressing the underlying ADHD, highlighting the complexity of diagnosis and treatment in healthcare policy and healthcare system management.

Additionally, societal expectations and gender norms may play a role in how ADHD presents in women. Girls are often socialized to be quiet, obedient, and organized, which can mask their symptoms of ADHD. Women may also feel pressure to overcompensate for their ADHD symptoms, leading to burnout and mental health issues.

It is crucial for healthcare professionals to be aware of these differences in ADHD symptoms in women and girls in order to provide accurate diagnosis and appropriate treatment. By understanding the unique ways in which ADHD manifests in females, we can ensure that all individuals with ADHD receive the support and resources they need to thrive. Education and awareness about ADHD in women are essential in breaking down stereotypes and ensuring that no one goes undiagnosed or untreated.

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Jay K Joshi

Dr. Joshi is the founding editor of Daily Remedy.

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Videos

In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

Chapters

00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
YouTube Video U1u-IYdpeEk
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AI Regulation and Deployment Is Now a Core Healthcare Issue

Clinical Reads

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
February 1, 2026
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Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

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