Hospitals do their best to keep us alive every year, but there is always room for improvement. To be honest, they do come out with technological advancements all the time. We’ve just never seen something so powerful as deep learning before.
It will introduce changes we could never have imagined was possible a few decades ago. In the future, you’ll feel safer if anything is wrong with you. Here is a quick rundown of ways it’s being incorporated into our health institutions at the moment.
1. Chatbots Are Starting To Help Patients Out
If you searched for a Canadian pharmacy online you might find yourself talking to a chatbot. Websites are using them extremely effectively right now. It seems like hospitals have been quick to jump on the bandwagon too.
Do you have any idea how they actually work? We can look at an example you’ll find in a hospital setting. You might need to see a doctor because you’re sick, but you don’t necessarily know which one to speak to.
You’ll be able to communicate with a chatbot capable of answering thousands of questions. The amount will keep increasing as it learns. When you are finished you’ll be referred to the right doctor.
2. Preventing Emergencies Before They Occur
A hospital doesn’t have a room with crystal balls, but deep learning is allowing it to predict the future. It’s now possible to prioritize patients when they turn up looking for treatment, which doesn’t sound too fair.
Fortunately, it’s saving lives and that is the number one priority. It can assign beds and dispatch ambulances quicker than ever before. Also, to save money it will discharge patients instead of letting them stick around for ages.
The chances of you surviving a medical emergency will increase because of software. If you’re in hospital it could predict something bad is going to happen hours in advance, so it could be prevented altogether.
3. Knowing How To Treat Patients Effectively
Do you know anyone who suffers from a certain condition with more than one treatment available? For example, if someone has cancer they could have radiation therapy, chemotherapy, or a transplant.
Hospitals will have systems in place to determine which one is right for you. The one they choose should keep you alive while minimizing your risks. A computer using millions of data points is more trustworthy.
People will see better outcomes as time goes on. It can work out more advanced things too, but it needs enough data to see patterns. It can determine the right medication you’ll need for an illness if there are dozens of options available.
Healthcare Is A Very Delicate Industry
Deep learning will advance quicker when it comes to things like fraud detection and marketing campaigns. It’s because healthcare is a lot more delicate and we need to be careful. It’s literally a case of life or death.
It’s still impressive how things are progressing so far. We’re only going to see deep learning used in even more capacities as time goes on. If you’re lucky it will help prolong your life an extra couple of years. http://bit.ly/2BRUxa2 #SAP #SAPCloud #AI
