The tremendous power of AI in the very complex world of healthcare
There is no doubt that artificial intelligence is revolutionising the world we live in today. In particular when it comes to makes big decisions in terms of life and death. With the help of artificial intelligence (AI), even the medical industry can take advantage of the technology and improve the health care system which is very intriguing and promising. There is huge interest in improving and developing machine learning technology for the medical industry in regards to improving machine errors and reducing human oversight. To look a bit closer to the advantages of such technology, here are some examples.
AI – assisted robotic surgery
Robot-assisted surgery is considered as minimally invasive, due to saving data from pre-op medical records to guide a surgeon’s instrument during surgery. Therefore, the patient won’t need to heel from large incisions and this would reduce a patient’s hospital stay. Positive results from this should be able to engage doctors and technicians to evolve this promising technology.
Virtual nursing assistants
By utilising virtual nursing assistants, the patient gets the opportunity to reach out to a contact person 24/7 as well as having the ability to access answers to question about medications around the clock. According to Syneos Health Communications, 64% of the patients reported being comfortable with AI virtual nursing assistants.
Workflow and administrative task
Another way AI has an impact in the medical industry is by ensuring an enhanced workflow as well as prioritising urgent matters that helps doctors, nurses and assistants to save time on routine tasks. Other advantages where healthcare can gain from AI includes voice transcription to automate non-patient care activities for instance writing chart boards, prescribing medications, or ordering tests.
Image analysing
The current use of image analysing is very time consuming and requires a tremendous amount of effort. With the help of AI and machine learning algorithm, this would provide doctors with the opportunity to analyse 3D scans up to 1000 times faster than what it takes right now as well as improving the next generation of radiology tools. This promising technology can provide critical input for surgeons who are operating.
Admittedly, utilising AI for the medical industry is undoubtedly not everyone’s cup of tea and I would assume that there would be a lot of arguments against it, but the advantages presented here speak for themselves. But by developing and evolving this machine learning technology, it supports human providers with a faster service, diagnoses issues and analyses data to identify trends or genetic information. The argument of AI in healthcare is very real as the technology has the power to save doctors time and this is very important because in healthcare saving a minute could mean saving someone’s life.
