AIMC Topic: Health Literacy

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HarborBot: A Chatbot for Social Needs Screening.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Accessing patients' social needs is a critical challenge at emergency departments (EDs). However, most EDs do not have extra staff to administer screeners, and without personnel administration, response rates are low especially for low health literac...

[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].

Bulletin du cancer
To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit fro...

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

PloS one
Limited health literacy is a barrier to optimal healthcare delivery and outcomes. Current measures requiring patients to self-report limitations are time-consuming and may be considered intrusive by some. This makes widespread classification of patie...

Characteristics of outpatient clinical summaries in the United States.

International journal of medical informatics
In the United States, federal regulations require that outpatient practices provide a clinical summary to ensure that patients understand what transpired during their appointment and what to do before the next visit. To determine whether clinical sum...

Improving readability of shoulder and elbow surgery online patient education material with Chat GPT (Chat Generative Pretrained Transformer) 4.

Journal of shoulder and elbow surgery
BACKGROUND: Health literacy is crucial for effective doctor-patient communication, particularly for surgical patients who need to comprehend complex procedures and care protocols. The American Medical Association and National Institutes of Health sug...

Comprehensibility and readability of selected artificial intelligence chatbots in providing uveitis-related information.

Medicine
This study aims to evaluate and compare the quality and comprehensibility of responses generated by 5 artificial intelligence chatbots - ChatGPT-4, Claude, Mistral, Grok, and Google PaLM - to the most frequently asked questions about uveitis. Google ...

Evaluating the quality and readability of online information about hidradenitis suppurativa: a systematic review.

Clinical and experimental dermatology
Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder associated with considerable physical, psychological and social burdens. Despite increasing recognition, diagnostic delays remain common, often prompting patients to seek informati...

Bridging Health Literacy Gaps in Spine Care: Using ChatGPT-4o to Improve Patient-Education Materials.

The Journal of bone and joint surgery. American volume
BACKGROUND: Patient-education materials (PEMs) are essential to improve health literacy, engagement, and treatment adherence, yet many exceed the recommended readability levels. Therefore, individuals with limited health literacy are at a disadvantag...

Leveraging Large Language Models to Enhance Patient Educational Resources in Rhinology.

The Annals of otology, rhinology, and laryngology
BACKGROUND: To compare the readability of patient education materials (PEMs) on rhinologic conditions and procedures from the American Rhinologic Society (ARS) with those generated by large language models (LLMs).