in Part One Among this batch of our major artificial intelligence officers in the health care chain, Dr. Zafar Chaudhry, the chief digital official, head of Amnesty International and Information employee at Seattle for Children, discussed his journey until Caio became the background and the most suitable experience of this role.
CHAUDRY today will discuss exciting AI applications in Seattle Children’s and the huge results achieved by clinical teams already. Some of the advice of information technology leaders is looking forward to becoming senior artificial intelligence officers themselves.
Q: Please talk at a high level about a place and how Seattle children use artificial intelligence today.
A. We have been used Forms of artificial intelligence For a few years now. The difference we have now is that we have moved from internal data and language models to much larger language models. We use artificial intelligence in multiple ways. I will give you an example.
We use artificial intelligence to determine how we can put patients to sleep. One of the children’s problems is that it can be addicted to opiates. You are traditionally using opium materials to put them in sleep. Then when you send them away from the hospital with pain medications, the pain medicine can be in it.
The risks can be addiction. We looked at our data and worked with our doctors to ask us whether there is another way? Can we find another cocktail of opium that can manage pain but also put patients to sleep? I can tell you, using artificial intelligence tools, we have succeeded in this field. 100 % of our external patients are now free of opioid materials. 50 % of surgeries for internal patients are optical of opioid materials.
Thus we are a leader in this particular field, as an example. Another example I can offer you is that our neurosurgery has spent some time to know if you are in brain surgery on a child, when the child comes to the intensive care unit, there is a great risk of a child with a stroke. And if the child has a stroke, the result is not good, as you can imagine, in order to stay.
Thus we used, again, our data, our algorithms. I have about five data scientists in my team. They write algorithms. They work, in this case, the Neurosurgery Team. We have been able to take all the data – if you imagine a child in the intensive care unit and all of these screens connected to the child, there is a lot of data collected on this child.
Using data, Establishing algorithms and applying some artificial intelligenceWe have a very high prediction rate before the stroke occurs so that we can intervene and the child does not suffer from stroke. These are some clinical use regarding how to really help artificial intelligence. This is really what we are looking for.
Q: How is Amnesty International’s official to be honored to work from artificial intelligence?
A. Therefore, in these two examples, there are a few steps. My task is to make sure that we collect data properly. Is the data in the correct coordination? Is data stored in a safe environment? Do I provide infrastructure, computing power, to translate this data already and analyze that data?
There is an infrastructure component, and I am responsible for it. There is the actual writing of algorithms, which fall within my analysis team. For this reason I have data scientists. There is a security component, which sits inside my safety team. It should be safe, it must be safe. It should be clean because bad data does not help any algorithm or any Amnesty International.
Therefore, my responsibility is to make sure that these pieces are working. My other responsibility is to make sure that I am working with doctors to ensure the authenticity of the money. There is a budget for all of this. But moreover, my job as head of Amnesty International is to facilitate the problems that doctors need to solve.
Since you first need to know the problem you want to solve, then my team that needs to know what the pieces in this puzzle are, you put these pieces together, which then translates into better results.
Therefore, I spend my day to make sure these things happen. I also contact clinical teams because I am also a doctor, I can translate a lot of hard -line technical speaking to what is logical for what you already describe.
Because the truth is said, doctors and nurses really do not care about what technology is. They just want to consume it, and do not want to hear its complexities. One thing we are not good in the world of technology is an attempt to explain what we do at the eighth level.
My job is also the translation between the teams to make sure everyone is on the right page. I always tell my team that in the field of technology, 20 % of our job is sales because sometimes you must go and persuade people that technology will do what they need, but they need to put some time in it because my team puts time in this, and it will never be successful.
Artificial intelligence will not succeed if you don’t have a protected time from doctors trying to help. If they do not put time in this project and their experience on their topic, we will not succeed.
Since you can create an algorithm, but they should check whether the algorithm tells the story correctly or incorrectly. For this reason when you use artificial intelligence, we always ask people to verify what he says because it may not be true, it may be chewing. I can’t do it without the topic experts. My multi -faceted function in this space.
Q: What are the advice that you can give to other executives of information technology who are looking to become a senior head of Amnesty International in a hospital or health system?
A. Start with the basics. If you do not understand The latest technology in the area of artificial intelligenceSpending time studying these areas because it is a fast -moving environment. Think about the way you will be able to create an infrastructure or partnership with a technology seller where you can actually do this.
So, consider working standards and spending time greatly with the people you serve, doctors, doctors, nurses and health professionals allied, because you will have to be the bridge to actually cooperate to make all this work.
Take time to do these three pieces. You may actually have one or two of these skills sets, so just increase the rest, and then you should be in good condition. Let’s be honest, it is not missile science. It is the work of a people we are. If you can win people – the influence on skills is really important. If you can do this, the technological pieces will be placed in place.
Good news in artificial intelligence space is that there are some strong partners who can help you provide technology. The other thing to think is, do you have the skills sets around you in your team?
He is not a standard analytical person who will lead to the area of artificial intelligence. There are some new skills. It may also take some time to get your teams and provide them with additional training. Fast engineering in artificial intelligence is not intuitive because we do not ask ourselves questions in the same way as humans.
I spent a good year learning fast engineering. He was at first. You should be very specific. I would like to say some training in this square or access to artificial intelligence in your environment and spend a lot of your personal time in testing it, and asking them, so that you understand what keywords are asking for access to the place where you want to be.
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Watch now: The chief artificial intelligence officer shows technology in Seattle for children
