AI has become a popular buzzword that seems to be everywhere, and with new uses emerging every day, it's not hard to see why the technology is taking the healthcare industry by storm. Healthcare AI is being used in hospital rooms, in the EHR and in medical imaging systems for a variety of purposes that are ultimately geared toward improving patient care. An added benefit is that AI can be used to improve provider efficiency and productivity.
With groups like the American Medical Association effectively endorsing AI -- while advising caution as far as its design and implementation -- there is little doubt that providers should begin to pay attention to healthcare AI if they haven't been already. Despite the fact that some healthcare professionals like radiologists may be cautious of the technology because of its purported potential to replace them, AI can be a powerful ally when it comes to improving patient outcomes, ensuring that no stone is left unturned during the diagnostic process.
1AI in medical imaging-
Healthcare AI gains new ground in imaging
Artificial intelligence is increasingly finding its footing in medical imaging, but the technology hasn't exactly been welcomed with open arms. Many radiologists have mixed feelings about the use of AI for fear of being replaced, but combining human and machine elements can improve the efficiency of medical imaging and lead to better patient outcomes.
2AI for the patient experience-
AI encourages patient engagement
Healthcare AI technology isn't confined to the four walls of a hospital. The use of AI in consumer devices like digital assistants can improve the patient experience and satisfaction even when the patient is at home.
Amazon Alexa isn't just for checking the weather or playing music. When placed in hospital rooms, the digital assistant can improve patient satisfaction by providing access to the hospital directory or dietary system. Continue Reading
3Improve outcomes with AI-
AI for patient data analysis
AI can be a boon to healthcare providers because of its ability to quickly analyze large volumes of data. AI can flag anything that seems out of the ordinary and send an alert to a flesh-and-blood physician for further review, and it can help providers recognize which patients may need more intervention post-discharge.