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<\/p>\nThe healthcare system is undergoing an unprecedented transformation thanks to technological progress. Artificial intelligence, data analytics, and digital tools are fundamentally changing the practice of medicine, a shift felt globally by both patients and doctors. This process aims not only to improve the quality of treatment but also to optimize the daily routines of medical staff.<\/p>\n
This technological revolution in healthcare would be impossible without the professionals at the forefront of innovation. Developers, engineers, and researchers are working to create AI models, ensure data security, and implement new digital platforms. Their efforts are directly shaping the future of medicine.<\/p>\n
Ivdit Gabeskiria is one such distinguished professional. He is currently based in the United States, working at Weill Cornell Medicine and leading numerous innovative projects in the healthcare sector.<\/p>\n
We spoke with Ivdit to learn how his career evolved from financial technology to healthcare innovation. We discussed the main challenges and opportunities in this field, as well as the potential role Georgian specialists can play in the global development of the healthcare system.<\/p>\n
An Interview with Ivdit Gabeskiria<\/b><\/p>\n
Tell us about yourself. How did your career transition from financial technology to healthcare technology, and what was the driving force behind this change?<\/b><\/p>\n
I’ve always been drawn to financial technology. I majored in both computer science and economics and gained some experience in that field. However, during my interview for a developer position at Weill Cornell, I realized that I could make the most valuable contribution in healthcare.<\/p>\n
The interview process was interesting. The questions weren’t just about programming; they shared existing challenges and asked me how I would solve them. One problem involved the portal for booking patient appointments with doctors. As soon as I started sharing my ideas, a discussion began, and I felt as though I was already a full-fledged member of the team.<\/p>\n
Generally, caring for people’s health is the most humane work, and I’m glad that I can serve two of my most interesting fields\u2014technology and healthcare\u2014at the same time.<\/p>\n
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In your opinion, what are the biggest challenges and opportunities in healthcare technology today?<\/b><\/p>\n
The high rate of burnout among doctors remains a major problem in healthcare, leading to a number of other difficulties: misdiagnoses, the departure of qualified personnel from the medical field, and patient dissatisfaction. Solving these challenges presents a huge opportunity to improve the healthcare system. Additionally, another important area is accelerating and simplifying the creation of new medications. Currently, developing a new drug or treatment method takes an average of 10-15 years and costs $1-3 billion. Optimizing this process could have a tremendous positive impact on human health.<\/p>\n
Within your work at Weill Cornell Medicine, which projects stand out to you as best reflecting your contribution to the development of healthcare technology?<\/b><\/p>\n
One of my early projects was a mobile app that allowed patients to communicate with their doctors, view diagnoses and test results, and access their health history. During the COVID-19 pandemic, we added a video call feature to the app so that patients could connect virtually with their doctors.<\/p>\n
Among more recent applications, I would highlight the 3D web application with artificial intelligence used by the Department of Neurology. Patients use this app to precisely mark the location of their pain on a 3D model of themselves, and the AI algorithm predicts the effectiveness of nerve decompression. Studies show that in this specific case, the AI makes more accurate predictions than doctors.<\/p>\n
One of the most powerful forces in the development of healthcare technology today is AI. In your opinion, what is the biggest opportunity this technology offers for improving healthcare systems globally?<\/b><\/p>\n
Many people believe that AI should primarily be used for diagnosis, but for solving global healthcare problems and the further development of technology, the effective collection of data is most important.<\/p>\n
To improve the diagnostic process, it’s crucial to consider the genetic characteristics and environmental factors of populations living in different countries. For a comprehensive analysis and to elevate personalized treatment to a high level, AI models need to be refined in this direction.<\/p>\n
How can AI tools be used in healthcare, for example, to address the shortage of staff and enhance the capabilities of medical professionals?<\/b><\/p>\n
Several initiatives exist to reduce the staff shortage in healthcare. For example, applications have been developed for staff training and voice assistant programs that save medical professionals time spent on taking notes during visits.<\/p>\n
However, AI alone will not solve these problems. Medicine is a highly complex field, and many nuances need to be considered, including regulations for patient data protection. Another major challenge is the harmonious integration of digital applications into the already busy routines of doctors.<\/p>\n
In your opinion, what are the main challenges to implementing AI solutions in the healthcare systems of developing countries?<\/b><\/p>\n
The most significant challenge for healthcare systems in developing countries is universal access to services. A good example is Kenya, where drones are used to deliver medicines and tests to inaccessible areas. This innovative approach demonstrates how technology can effectively solve such problems.<\/p>\n
How do you think AI will impact the delivery of healthcare services in Georgia compared to the United States?<\/b><\/p>\n
I see the future in preventive medicine, because healthcare should not only begin when a problem is already present. A preventive approach involves continuous health monitoring, reducing disease risk factors, and promoting a healthy lifestyle.<\/p>\n
With the help of AI, potential problems can be identified at an early stage, which will significantly improve patients’ health. Similar systems should be effectively implemented in both the United States and Georgia.<\/p>\n
Based on your experience, what role can Georgian developers and engineers play in the development of AI for Georgia’s healthcare system?<\/b><\/p>\n
As I mentioned, the more information that is digitized, the more effective the implementation of AI will become. That is why it is important to work on systems that will simplify this process. The involvement and partnership of medical professionals in this effort are essential, as the quality and correct structure of data are paramount. The next stage will be connecting different systems with each other.<\/p>\n
How can AI and data analytics be used to improve patient services in a developing country like Georgia?<\/b><\/p>\n
To improve the patient experience, it is important to simplify the onboarding process, conduct a comprehensive analysis of health history, schedule appropriate preventive check-ups, and take other measures that will ensure a personalized and effective service.<\/p>\n
What ethical issues should governments and healthcare providers consider before implementing AI technologies?<\/b><\/p>\n
When processing any information, patient data confidentiality must be the top priority. Additionally, it is essential to fully test the product before it becomes available to patients. Only by adhering to these two principles is it possible to provide a safe and reliable service.<\/p>\n
From your perspective, what is the most promising use of AI in the clinical decision-making process today?<\/b><\/p>\n
I agree with the notion that human health should not be entrusted solely to AI. My goal is to leverage AI’s ability to process large volumes of information and see patterns that the human eye might miss. This synergy forms the basis for more accurate diagnoses and personalized treatments.<\/p>\n
What skills do you consider most important for young Georgian developers who want to work in AI and the medical field?<\/b><\/p>\n
The medical field is truly unique because you have to consider so many factors: the patient, the provider, the hospital\/clinic, and insurance. Furthermore, each medical specialty has its own challenges: for example, while radiology requires image analysis, for psychiatry, monitoring a patient’s mood is important.<\/p>\n
That’s why clinical practice and volunteer work are essential to properly and effectively integrate technology into this complex system.<\/p>\n
In your opinion, what role will patient-facing AI tools, such as AI tools for disease diagnosis, play in the future?<\/b><\/p>\n
AI has the potential to become an indispensable assistant in healthcare, as it can help both patients and doctors. It will improve patients’ treatment processes and effectively answer their questions.<\/p>\n
How do you envision your own role as AI becomes more deeply integrated into healthcare systems?<\/b><\/p>\n
The early implementation of AI in the healthcare system can bring many benefits. However, because this technology is developing rapidly, we must be ready to adapt to change and foster an innovative culture. Only in this way can we fully utilize the potential of AI and successfully respond to the challenges of the future.<\/p>\n
Based on your career experience, what is the one main piece of advice you would give to someone just starting out in healthcare technology, and what is your biggest aspiration in this field?<\/b><\/p>\n
First and foremost, reflect on your source of motivation. Is the field of healthcare technology truly your passion?<\/p>\n