Ahead of Intelligent Health UK (24-25 May 2023, ExCeL London), we asked Carlon Fitzpatrick, Co-Founder & Business Development Director, Encode Health, his thoughts on the future of AI in healthcare.
If you could solve any global health problem in the world with AI, what would it be?
If I could solve any global health problem in the world with AI, I would focus on improving access to high-quality healthcare and medical supplies for all individuals, regardless of their geographic location or socioeconomic status. One major issue in global healthcare is the unequal distribution of medical supplies, which can lead to shortages and preventable deaths. AI could help address this issue by optimizing the medical supply chain, identifying areas where there are shortages, predicting demand, and improving logistics and distribution.
Presuming that was solved, what would your second choice be?
Another significant problem in healthcare is the misclassification of tumors and the resulting incorrect treatment plans. AI could assist with this problem by analyzing vast amounts of data on tumor genetics, creating more accurate diagnostic tests and personalized treatment plans.
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How do you think AI will make its biggest mark in healthcare in the next 5 years? 10 years? 20 years?
By leveraging the power of AI to address medical supply chain issues and improve the accuracy of tumor classification, we could help reduce health inequalities and improve health outcomes for people around the world.
What excites you most about the application of AI in healthcare?
Another exciting aspect of AI in healthcare is its potential to improve efficiency and reduce costs. By automating certain tasks and streamlining workflows, AI can help healthcare providers to work more efficiently, freeing up time to focus on patient care. Additionally, AI can help to identify areas where there are inefficiencies in the healthcare system, such as bottlenecks in the supply chain or delays in patient care, and suggest solutions to address these issues.
What’s your biggest fear in relation to the application of AI in the health/medicine field?
One of the biggest concerns is the possibility of unaddressed biases in the data that is used to train the AI systems. If the data used to train AI models is biased, then the results produced by these models will also be biased, which could have significant consequences for patients. For example, if an AI system is trained on data that primarily includes men, it may not perform as well when it encounters health issues unique to women. Therefore, it is important to ensure that the data used to train AI systems is diverse and representative.
Another concern is the possibility of AI being applied to old ways of working, rather than truly innovative thinking. For example, if AI is used to automate current processes without any new ways of thinking, then it may not lead to the breakthroughs in healthcare that we are hoping for. Instead, it is important to encourage creative thinking and new approaches to healthcare problems that can be aided by the power of AI.
Lastly, there is also a concern around data privacy and security, as the collection and storage of large amounts of sensitive health data could be vulnerable to cyber attacks and data breaches. Therefore, it is important to ensure that appropriate measures are put in place to protect patient data and privacy.
Overall, it is important to address these issues and ensure that the development and deployment of AI in the healthcare industry is done in an ethical and responsible manner, while keeping patient safety and well-being as the top priority.
How do you think AI will cause human contact in healthcare to change in the future?
AI has the potential to revolutionize healthcare in many ways, and one of the ways it may impact human contact in healthcare is through improvements in personal protective gear. With the effects of COVID-19 pandemic and worries concerning other pandemics, there has been a significant emphasis on reducing physical contact between healthcare workers and patients to minimize the spread of the virus. AI can aid in developing new materials and technologies for personal protective gear that are more effective in protecting healthcare workers while still allowing for human contact with patients. For example, AI could help develop innovative protective gear that provides a greater degree of protection while still allowing healthcare workers to interact with patients and provide care.
In addition, AI could also have a significant impact on prosthetics and deep brain implants. By utilizing AI, researchers could develop more sophisticated prosthetic limbs and deep brain implants that are more responsive to the needs and desires of individual patients. This could lead to a more personalized approach to prosthetics and deep brain implants, which could improve patient outcomes and quality of life.
When it comes to meeting other species on and off this planet, AI could play a crucial role in developing communication methods that allow us to interact with other species in a more effective way. AI could be used to analyze and decode the communication patterns of other species, as well as to develop new communication methods that are more effective in facilitating understanding and cooperation. Furthermore, AI could be used to simulate potential interactions with extraterrestrial life forms, helping us to prepare for such interactions in a safe and controlled manner.
Overall, AI has the potential to significantly impact human contact in healthcare, both in terms of improving personal protective gear and in enhancing prosthetics and deep brain implants. Furthermore, AI could also play a critical role in facilitating communication and interaction with other species on and off this planet, helping us to expand our understanding of the world around us.
What does AI mean for the skill requirements of health professionals? How will it change?
The application of AI in healthcare is already leading to significant changes in the skill requirements of health professionals, and this trend is likely to continue in the future. One of the major changes that we can expect is the emergence of personalized learning plans that are tailored to the specific needs and abilities of individual health professionals. AI can help to identify the areas where a health professional needs improvement and then create a personalized learning plan to help them acquire the necessary skills.
In addition, AI could also help to integrate skilled workers into specific hospitals and departments within those hospitals. For example, AI could help to match the skills and expertise of health professionals with the specific needs of a hospital or department, which could lead to more efficient and effective healthcare delivery.
Another area where AI is likely to impact the skill requirements of health professionals is in the field of robotic surgery. As AI becomes more sophisticated, we can expect medical schools to implement earlier learning of robotic surgery in specific specialties. This could involve only three years of non-clinical study followed by optimized learning for a specific specialty.
Furthermore, as AI becomes increasingly integrated into healthcare, health professionals will need to adapt their skills on a regular basis to keep up with new developments. This could involve learning new AI methods every year and spending two years applying these new skills in practice. This continuous adaptation of skills will be critical for health professionals to remain up-to-date with the latest technology and best practices.
Overall, the impact of AI on the skill requirements of health professionals is likely to be significant. Personalized learning plans, integration of skilled workers into specific hospitals and departments, earlier learning of robotic surgery, and continuous adaptation of skills will all be important trends in the years to come. Health professionals who are able to adapt to these changes will be better equipped to provide high-quality care and stay at the forefront of their profession.
Which 2 people do you admire most in the world of AI in healthcare in terms of their work?
Anita Schjll Brede’s objective with her AI scientist, Iris.ai, is to speed up research. The technology searches through over 60 million papers for the most relevant articles using algorithms. Her goal isn’t to make money, but to do good and improve people’s lives, such as by discovering a cancer treatment. Demis Hassabis, dubbed the “superhero” of artificial intelligence, is advancing AI by reuniting it with cognitive science. He works at DeepMind on innovative algorithms that can help mankind in areas like healthcare and environmental issues.
Why did you choose to present at Intelligent Health?
Impact factor and inform as many people as possible about the mission Encode Health is on to identify areas where there are inefficiencies in the healthcare system, such as bottlenecks in the supply chain or delays in patient care, and suggest solutions to address these issues.
What are your personal goals from the summit?
Impact factor and inform as many people as possible about the mission Encode Health is on with a the high quality services that Encode is offering for a plethora of specialties and issues.
Encode Health is a healthcare company that focuses on providing high-quality services for a wide range of specialties and health issues. They are committed to improving the health outcomes of their patients by offering personalized care that is tailored to each patient's unique needs.
One of the ways that Encode Health achieves this is through the use of advanced technology and data analytics. By leveraging these tools, they are able to collect and analyze large amounts of health data to identify patterns and trends that can help inform more effective treatments and care plans.
Another key aspect of Encode Health's mission is their focus on delivering care that is both evidence-based and patient-centered. They prioritize the use of treatments and interventions that are backed by rigorous scientific research, while also taking into account each patient's unique preferences and values.
About Carlon
Carlon Fitzpatrick is a Trauma and Orthopaedic surgeon with a specialist interest in medical and surgical devices. Carlon read Medicine at St George’s University, Grenada West Indies, graduating as a Gold Honour Humanism Society member in 2010. Carlon then worked for DepuySynthes (Johnson and Johnson) Orthopaedics and biomaterials from 2010-2014 winning national sales awards in 2012 and 2013. He developed specialist knowledge in these areas, driving uptake and adoption of Trauma innovation and biomaterials for use in Trauma Surgery. Carlon is passionate about improving patient safety and setting new standards for tracking and tracing of medical devices within the healthcare market.
We cannot wait to see Carlon at Intelligent Health UK on 24th-25th May in London!.
The Intelligent Health team
Global AI and health events calendar 2023
Intelligent Health UK
24-25 May 2023
Platinum Suite, ExCeL London, UK
Intelligent Health
13-14 September 2023
Basel, Switzerland
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