AIMC Topic: Text Messaging

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Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text mes...
Natural Language Processing Humans Text Messaging Nursing Homes Missouri
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Analysing common topics of secure patient messages in hidradenitis suppurativa: a text-embedding and natural language-processing approach.

The British journal of dermatology Sep 18, 2024
Natural Language Processing Text Messaging Hidradenitis Suppurativa Humans
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Using large language model to guide patients to create efficient and comprehensive clinical care message.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2024
OBJECTIVE: This study aims to investigate the feasibility of using Large Language Models (LLMs) to engage with patients at the time they are drafting a question to their healthcare providers, and generate pertinent follow-up questions that the patien...
Artificial Intelligence Physician-Patient Relations Humans Text Messaging Feasibility Studies
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Towards Optimizing LLM Use in Healthcare: Identifying Patient Questions in MyChart Messages.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 1, 2024
The volume of patient-provider messages is on the rise, and Large Language Models (LLMs) can potentially streamline the clinical messaging process, but their success hinges on triaging messages they can optimally address. In this study, we analyzed E...
Natural Language Processing Text Messaging Humans Electronic Health Records
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Designing Depression Screening Chatbots.

Studies in health technology and informatics Dec 15, 2021
Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interact...
Communication Depression Delivery of Health Care Text Messaging Humans Artificial Intelligence
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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Critical care medicine Nov 1, 2019
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.
Hospitals, Teaching Shock, Septic Text Messaging Decision Support Systems, Clinical Retrospective Studies Electronic Health Records Algorithms Sepsis Humans Sensitivity and Specificity Cohort Studies Machine Learning Diagnosis, Computer-Assisted
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Practice Patterns, Nurses' Hospitals, Teaching Humans Machine Learning Nursing Staff, Hospital Algorithms Medical Staff, Hospital Sepsis Decision Support Systems, Clinical Shock, Septic Practice Patterns, Physicians' Diagnosis, Computer-Assisted Attitude of Health Personnel Prospective Studies Electronic Health Records Text Messaging
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Acid-Base Reports Need a Text Explanation.

Anesthesiology Apr 1, 2019
Text Messaging Artificial Intelligence Acid-Base Equilibrium Humans Research Report
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