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Significance of Clinical Implementation

Clinical Implementation involves the application and integration of AI technologies into clinical practice and patient care. This process ensures that advancements in artificial intelligence enhance the effectiveness of healthcare delivery, improve patient outcomes, and streamline clinical workflows. By incorporating AI into various aspects of healthcare, practitioners can leverage data and automated systems to make more informed decisions, ultimately transforming the way patient care is administered and managed.

Synonyms: Clinical application, Clinical use, Clinical practice, Clinical integration, Execution, Application

The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.

The concept of Clinical Implementation in scientific sources

Science Books

Clinical Implementation involves embedding AI technologies into healthcare settings, enhancing clinical practice and patient care. This integration aims to improve efficiency, accuracy, and overall patient outcomes by utilizing innovative technological solutions in medical environments.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) This is a criterion for the research study, indicating the need for further research on apps, alongside end-user acceptability, medical professional evaluation, and security.[1]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.