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Related Concept Videos

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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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Rheumatic heart disease or RHD is a chronic condition that results from rheumatic fever, causing permanent damage to the heart valves.Etiology and Risk FactorsIt primarily arises from rheumatic fever, an inflammatory disease that can develop after untreated or inadequately treated group A streptococcal (GAS) pharyngitis. Streptococcus spreads through direct contact with oral or respiratory secretions. While the bacteria are the causative agents, factors like malnutrition, overcrowding, poor...
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Peripheral Artery Disease (PAD) is characterized by narrowed arteries that diminish blood flow to the extremities. Effective management of PAD requires an interprofessional approach involving various healthcare professionals. The critical aspects of interprofessional care for PAD patients focus on risk factor modification, drug therapy, exercise therapy, nutrition therapy, critical limb ischemia care, and interventional radiology and surgical procedures.The primary treatment goal for PAD...
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Fellows-in-training (FITs) improved confidence in using generative AI (genAI) for disability accommodation letters. Training enhanced skills in genAI prompt engineering and letter finalization for rheumatic and musculoskeletal diseases (RMDs) patients.

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Area of Science:

  • Medical Education
  • Rheumatology
  • Artificial Intelligence

Background:

  • Rheumatic and musculoskeletal diseases (RMDs) can lead to disabilities impacting work and school participation.
  • Generative artificial intelligence (genAI) offers potential to streamline documentation for disability advocacy.
  • Training fellows-in-training (FITs) in genAI and disability advocacy is crucial for effective patient support.

Purpose of the Study:

  • To assess the impact of an online module and simulation on FITs' confidence and skills in using genAI for accommodation letters.
  • To identify areas for further instruction in genAI application for disability advocacy.

Main Methods:

  • FITs completed an online module and simulation focused on engineering genAI prompts for accommodation letters.
  • Skills were evaluated using a rubric, and confidence was measured via pre-post Likert scales.
  • Statistical analysis using Wilcoxon signed-rank tests compared pre- and post-training confidence levels.

Main Results:

  • Eighty-three percent of FITs scored proficiently on average, with prompt engineering being the strongest skill (95.45%).
  • The lowest scoring area was differentiating provider roles (74.55%).
  • FITs reported significant confidence improvements across all objectives, particularly in prompt engineering and finalizing genAI-drafted letters (p<0.0001).

Conclusions:

  • Educational interventions effectively teach FITs to integrate genAI into writing accommodation letters.
  • This training enhances FITs' ability to address disparities for patients with RMD-related disabilities.
  • Developing these skills prepares FITs for confident practice in rheumatology, integrating genAI in clinical care for people with disabilities.