Many industries have benefited from the disruption that information technology has brought and there are even more benefits being reaped from the continues introduction of Artificial intelligence and other advanced technologies. The Benefits of AI in Health Care spreads to doctors, hospitals, insurance companies, and industries with ties to the healthcare industry. The impact has been in many cases more positive and substantial than other industries.
According to a 2016 report from CB Insights, about 86% of healthcare provider organizations, and technology vendors to healthcare are using artificial intelligence technology. By 2020, these organizations will spend an average of $54 million on artificial intelligence projects.
So what are these projects being carried out by artificial intelligence and what are the future projects?
So what solutions are they most commonly implementing? Here are 10 common ways AI is changing healthcare now and will in the future.
Managing Medical Records and Other Data:
This goes a long way in managing and storing Big data. Since the first step in health care is compiling and analyzing information which is mostly medical records and other past histories, data management is the most widely used application of artificial intelligence and digital automation. Robots collect, store, reformat and trace data to provide faster, more consistent access.
Doing Repetitive Jobs:
Analyzing tests, X-Rays, CT scans, data entry, and other mundane tasks can all be done faster and more accurately by robots. Cardiology and radiology are two disciplines where the amount of data to analyze can be overwhelming and time-consuming. Cardiologists and radiologists in the future should only look at the most complicated cases where human supervision is useful and save themselves from carpool tunnel.
Artificial intelligence systems have been created to analyze data – notes and reports from a patient’s file, external research, and clinical expertise – to help select the correct, individually customized treatment path.
With continued advancement, AI would be able to start giving medical consultation and advice based on the patient’s medical history and common medical knowledge. The morality and ethic viability of this, of course, comes into question and should be discussed. Same goes for virtual nurses who can monitor nurses and provide follow up treatments between doctors visits.
The National Institutes of Health have created the AiCure app to monitor the use of medication by a patient. A smartphone’s webcam is partnered with AI to autonomously confirm that patients are taking their prescriptions and helps them manage their condition. Most common users could be people with serious medical conditions, patients who tend to go against doctor advice, and participants in clinical trials. So your phone will be watching you…but they already are though.
Developing pharmaceuticals through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could change the world as medication would become cheaper. But will big pharma let this happen?
Genetics and genomics look for mutations and links to disease from the information in DNA. With the help of AI, body scans can spot cancer and vascular diseases early and predict the health issues people might face based on their genetics.
This has been around probably the longest and you probably have used it at one point. Wearable health trackers and pedometers like those from Fitbit, Apple, Garmin monitor heart rate and activity levels. They can send alerts to the user to get more exercise (or more steps) and can share this information to doctors (and AI systems) for additional data points on the needs and habits of patients.
In conclusion, artificial intelligence (AI) makes for a faster advancement in the healthcare industry. There are many benefits to be reaped but there should also be a balance and check system to make sure these improvements and changes are ethical and morally right.