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Artificial Intelligence in the Clinic: Creating Harmony or Just Adding Noise?

Mariam Afzal¹, Katy E French², Larry E Bilbrey³

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Summary

Artificial intelligence (AI) is increasingly used in healthcare, offering ambient listening and chatbots to improve patient-physician interactions. However, challenges like training, privacy, and legal frameworks need addressing for successful integration.

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Area of Science:

Health Informatics
Medical Artificial Intelligence

Background:

Artificial intelligence (AI) integration in healthcare, particularly oncology, has rapidly expanded.
AI encompasses systems performing human-like intelligence tasks, including language understanding and reasoning.
Current AI applications include ambient listening technology, patient messaging chatbots, and inbox management tools.

Purpose of the Study:

To evaluate the broader impact of AI on the healthcare system.
To highlight how ambient listening technology can enhance the clinical experience for patients and physicians.
To explore AI's potential in reducing physician burnout and its use as a diagnostic tool.

Main Methods:

Review of current AI applications in healthcare settings.
Analysis of AI's impact on clinical workflows and patient care delivery.
Discussion of potential benefits and challenges of AI integration.

Main Results:

AI applications show promise in improving routine physician care and patient interactions.
Ambient listening technology may enhance the patient-physician experience.
AI tools have the potential to reduce physician burnout by minimizing in-basket workload.

Conclusions:

AI integration in healthcare presents both opportunities and challenges.
Addressing concerns regarding clinician training, patient safety, data privacy, and legal frameworks is crucial.
Future directions include AI's role in overburdened hospitals, underserved communities, telemedicine, and rural health.