Editor’s note: This is the seventh in our chain on the senior artificial intelligence officers in health care. Other modern Caio profiles include Dennis Chorniki at the University of California, Davis Healthand Dr. Karandip Singh at the University of California, San Diego Healthand Alde Mizaku at the National Hospital for Childrenand Dr. Zafar Chaudhry in Seattle for Childrenand Mouneer Odeh in Cedars-Sinai and Samir Sethi at Hackensk Meridian Health.
As the head of data and artificial intelligence officer at Ann Hospital and Robert Lori for Children in Chicago, Rajev Kolagani builds a modern data platform that harnesses artificial intelligence to raise clinical quality, push operating excellence and enhance the experience of service providers, patients and families.
Kolaganis for 20 years is characterized by pivotal leadership roles in organizations including health and care in a due manner, Davita, and Centene, as it has succeeded in expanding the Medicare Advantage programs, improving risk -based payment models, and publishing the AI’s healthy population analyzes that have improved clearly.
It is now one of the latest and fastest growth in health care: the chief artificial intelligence officer.
“Two years ago, Lori Children’s Hospital was looking for someone who could enter and transfer data, analyzes and artificial intelligence program,” says Kolganis. “The need to shift in the data space was realized, mainly because the technology and the operating model were old.
“There were problems with confidence with data and adoption.” “This is when they took advantage of my shoulder to say,” Hey, do you want to explore this opportunity to convert data, AI and analyzes? “Over the past two and a half years, there has been a great deal of investment that was made to transform people, operation and technology here in Lauri, from A. Data perspective and analyzes. We have completely updated our technology staple. “
Building a team, finding value
From the perspective of people, the organization has added a few individuals who focus mainly on best database practices and services. Kolgani has a great manager who focuses on this field. He also has the director of Amnesty International, who is a great director of the product, a senior data and literacy manager.
“Then, on the side of the operation, we moved away from the ticket model, pure service to products, internal products, internal products, and graceful delivery models that have increased significantly from how to deal with our customers and how to receive value in our program,” he explained.
“The last six to eight months have really focused on obtaining artificial intelligence, artificial intelligence strategy and governance for artificial intelligence.” “What we realized is that we need a leader at the level of the institution that can organize all artificial intelligence within the organization, and govern it central, but they implement it more locally.”
He added that this was the Mantra because there is no one person who should do all artificial intelligence.
“Artificial intelligence should happen across the entire institution.” “This is when they took advantage of me to be the chief artificial intelligence officer. I informed the chief of digital information and information staff. I mainly played artificial intelligence for about a year, but the official title came in March 2025.”
Technology, data and strategy
Kolagani said he had always had a talent to develop a strategy. He started in the field of technology, and this is where his growth occurred for the first time, during the first five years of his career. But after he obtained a master’s master’s degree from Duke, he took roles as the bridge between technology, strategy, data and analyzes became. This was prepared to lead strategic roles.
“When you think about AI and technology strategy“They really need well success in the work strategy. They should not exist separately from the work strategy. Understanding the provider’s work, understanding research work, and understanding health care in general, has really prepared me to take over the role of a major artificial intelligence officer,” he said.
“From the perspective of artificial intelligence, I have been doing artificial intelligence over the past ten years or so on the provider side and on the side of the seller.” “When I was working with Press Gainey, we were working with large data groups. We’ll bring clinical quality, safety, patient experience and 80 % of employee experience data in a very large measuring database.”
After that, he will find the links using automatic learning between all these data groups and know the results that pay the results, what are the leading and late indicators, and what is the actual link between the two.
“When I was with Davita, this was a few years ago, we expected the disease to develop from the perspective of chronic kidney disease,” he said. “It was purely on chronic kidney disease data.
“Now, the artificial intelligence is the latest, but the discipline of artificial intelligence is much broader than the obstetric artificial intelligence.” “Automated learning aspect of it and what we call classic intelligence, I was doing it for some time in the health care space. I also made a set of work in the motivation space as well.”
Not a “one person”
Kolagani of the executive information technology who is looking to become a great head of the IQ, who need some artificial artificial intelligence segments, only to understand the basics about artificial intelligence. But it is really related to understanding the strategy – alignment of artificial intelligence and technological progress of the work strategy. Gather people together and cooperate in long -term goals.
“Artificial intelligence is a group sport, it is in fact not one person,” he said. “I recommend it Leaders who want to do more artificial intelligence It really understands the capabilities and technology, understand what you can do, understand its capabilities, and understand the limits of this technology. You really have to know when you need to put a person in the ring and when you let artificial intelligence run what to do.
“It is art and science.” “Once you master it, when you really need a person’s position in the episode, you will have a lot of benefits that will come. I would like to say technical skills but also understand what work problems are trying to solve them really.”
He added that one of the artificial intelligence officers must understand the work problems and the main challenges that must be addressed and a strategy to notice it.
What does Caio do?
In general, the role of Collagani as head of the artificial intelligence employees is the artificial intelligence organization of the Lauro Children’s Hospital. Firstly, Activating artificial intelligence within the organization. What are all the different abilities of activation? How do leaders recommend the correct ability to use? Is it building or buying?
Then there is literacy, Amnesty International. How do leaders learn the power of artificial intelligence? The capabilities are launched. The benefits that the capabilities will get within the organization.
“Now, how it seems to have Enterprise AI, all the things that Microsoft and Workday provides and all these platforms.” “We have a clinical Amnesty International, which is the epic, clinical systems and functions it enjoys. Then we have what we call the designated Amnesty International or the dedicated artificial intelligence that we develop, that institution and the clinical AI that it does not provide.
“We are forced to build these allocated systems ourselves,” continued. “For institutions and secrets, we work with our Foundation’s partners to stimulate these capabilities and transfer them through the artificial governance form and the approval process.”
Then, the team develops all customized intelligence systems.
Will the model be effective?
“Therefore, on a typical day, we may seem to manage governance in the sub -committee one day, and we run one day, and it is basically eating all the capabilities of artificial intelligence and understanding those that will create value.” Then we manage it through a full process of safety review, legal review, risk review, review of the artificial intelligence model, to really understand, “Will this model be effective? “
“Then the return on the full investment of all Amnesty International’s ability,” he continued. Then, does this need to go to a experimental process? Is it ready for production? How do we implement these AI’s possibilities? “
Thus, Kolagani and the entire artificial intelligence cycle team should cover. He has advisory teams and internal teams that meet with business owners and a variety of stakeholders to make this whole process work. They manage governance, consultant, literacy and adoption.
One of the artificial intelligence projects Kolagani is proud of it is a system dedicated to him and his team that understands the conditions gained from the hospital such as a bloodstream infection associated with the central line, the infection in the surgical site and others.
“It is an understanding of how the infection occurred using data,” he explained. “The typical processes for preventing infection, they will be mixed with data sizes and data sizes. If we have a patient who has a patient with a length of one to three months, you are talking about nearly five to 10 textbooks with medical records value, you will have to go through them.
“But we found it Gynecological LLMS works very effectively When we publish it in reading through the entire collection of knowledge, he continued: “They can read the entire scheme, and we can ask questions. Therefore, we built a smart auxiliary agent sitting over the patient’s clinical record. You can only ask questions.”
What is the artificial intelligence looking for?
For example: When did this infection happen? What are the microorganisms that you found on this particular day? What is the patient’s temperature in this particular event?
“He withdraws all of this,” he said. “Some infection prevention specialists have said that they will take hours to days to review some of these complex plans, and they are able to deliver this with artificial intelligence to just minutes. In less than an hour, they can perform a full analysis of the scheme only by asking questions.
He added: “This is the place where the LLM power comes, the strength of artificial intelligence, because we have found a real problem where it is an administrative burden, as their time can now be spread to do other things.” “They can wander effectively, can educate them, and they can be proactive with these infections.”
Kolagani and his team developed all this in less than three months. It is attributed to artificial intelligence and works before the construction of this system.
“We have pulled all the data to the right place,” I explained. “We have put everything on the correct basic system as it contains both the capabilities of artificial intelligence and data capabilities. And guess what happened? We only managed to create these LLM units above this data because we know that we have a good data collection, we have a reliable data collection, and we are able to withdraw this type or build this type of possibility for our final users.
“They cannot be happier.” “Now they want more. Now, we have opened the flood gates. Can this product do this? Can this already work on this other infection? We also review the scheme of a set of different complex conditions. I’m very proud of my team and very proud of the results and the result.”
Click here To watch a short video clip of the reward content, as Kolagani describes the place where Execs should start with obstetric artificial intelligence – and where they should be careful.
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