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Clinical Decision Making Aided by Artificial Intelligence
Artificial Intelligence programs like CDS are based on machine learning models, trained with medical records labeling data that have successfully diagnosed conditions beforehand basis patient history.
By: Cogito Tech LLC
Medical documentation, an umbrella term used for maintaining patient healthcare data in the process of patient treatment, has served as the basis of AI application in the medical sector. AI applied in building better predictive models for patient diagnosis has also resulted in increased treatment efficiency and reduced burden on physicians. AI-based Clinical Decision Support or CDS can process vast chunks of medical documents and produce hypotheses for patient diagnosis. Usage of AI has also eased out internal processes for keeping stockpiles of patient records, making medicare hassle-free and seamless. Also, reducing dependency on medical document processing services, healthcare document processing for patient care.
Artificial Intelligence programs like CDS are based on machine learning models, trained with medical records labeling data that have successfully diagnosed conditions beforehand basis patient history. Due to this, along with improvement in clinical decision making, patient's overall experience plus expenditure have undergone a complete transformation. Today, patients are ready with their expenditures and are in a better position to manage their expenses. The time for examining a multitude of diagnosis to patient and treating their condition have reduced leading to an overall augmentation in the revenue of health institutions and other stakeholders involved. https://bit.ly/
Cogito Tech LLC - Roger Brown
Page Updated Last on: Sep 17, 2021