How is AI Impacting Healthcare
healthcaretechoutlook

How is AI Impacting Healthcare

Healthcare Tech Outlook | Monday, February 28, 2022

Artificial intelligence has the potential to revolutionize healthcare by providing limitless opportunities for patient care

Fremont, CA: The healthcare business is in desperate need of reform. There are practically unlimited potential to use technology to deploy more precise, efficient, and powerful interventions at exactly the right moment in a patient's care, from chronic diseases and cancer to radiography and risk assessment. Traditional analytics and clinical decision-making tools provide a lot of advantages that AI does not. As humans engage with training data, learning algorithms can become more exact and accurate, allowing humans to obtain unparalleled insights into diagnoses, care processes, treatment variability, and patient outcomes.

How AI impacts healthcare:

Next-Gen radiology tools

MRI machines, CT scanners, and x-rays produce radiological images that provide non-invasive insight into the inner workings of the human body. However, many diagnostic methods still rely on actual tissue samples obtained through biopsies, which carry risks such as infection. Artificial intelligence, according to experts, will enable the next generation of radiological tools to be precise and detailed enough to obviate the need for tissue samples in some cases.

Reducing the use of EHRs

EHRs have facilitated the healthcare industry's digitization shift; yet, the move has resulted in a plethora of problems, including cognitive overload, endless documentation, and user burnout. EHR developers are now employing artificial intelligence to create more intuitive interfaces and automate some of the repetitive activities that consume so much of a user's time. Routine requests from the inbox, such as medication refills and result notifications, may potentially benefit from artificial intelligence. It may also assist in prioritizing things that require the clinician's full attention.

Enhancing analytics for pathology images

Pathologists are one of the most important sources of diagnostic data for healthcare practitioners across the board. Providers can uncover details that may escape the human eye using analytics that may dive down to the pixel level on exceedingly huge digital images. Artificial intelligence can potentially boost productivity by detecting aspects of interest in slides before they are reviewed by a human doctor.

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