Suggestions
Simon Kos
Simon Kos is a highly accomplished professional with a diverse educational background and extensive experience in the healthcare and technology sectors.
He holds a Master of Business Administration from AGSM @ UNSW Business School, a degree in Medicine from UNSW, and studied at Saint Ignatius' College Riverview.
Simon also pursued studies in Management at AGSM @ UNSW Business School and holds a Master of Education and Bachelor of Science from UNSW.
He has held prominent roles in various organizations, including currently serving as the Chief Medical Officer for Australia New Zealand at Microsoft.
Previously, Simon has worked as the Health Industry Executive at Microsoft, Medical Advisor and Chief Executive Officer at Next Practice, and Co-Chair at Global Commission To End The Diagnostic Odyssey For Children With A Rare Disease, among other notable positions.
His past experiences also include roles such as Chief Medical Officer, Health Industry Manager, and Physician Executive at Microsoft, Cerner Corporation, and NSW Health, respectively.
Simon Kos's educational achievements and professional journey reflect his expertise and leadership in both the medical and business domains.
Highlights
After 9 months of focused activity in the Health AI space I feel compelled to do some mythbusting: #1 Healthcare needs to figure out how it can use AI. False, health has been using AI for decades (consider automated ECG/EKG interpretations) #2 Legislation/regulation will tell us how to safely use generative AI. False, this is months if not years away, leading to the next point #3 Provider organisations can control whether generative AI gets used. False, your clinicians are already using it, and if you aren’t aware then you are out of touch. #4 We need to ensure safety and eliminate error to use AI. False, there isn’t a single health test or procedure without risk, we shouldn’t hold AI to an impossible bar #5 We need to eliminate bias. False, bias has always been an important part of the diagnostic process (eg ethnicity/country of origin is important as I interpret chest XR). What we need instead to understand is unconscious bias and how it creates constraints, so our use of AI is equitable and accurate. #6 AI will replace clinicians. False, AI will augment clinicians by replacing some tasks we do today. We still won’t have enough clinicians to address the demand #7 Health AI needs governance so we can leverage our existing corporate or clinical governance functions. False, AI (especially generative AI) needs additional skillsets. Governance is more than limiting risk. We need technical, privacy, legal, and academic inputs too.
Finally (and this is not a myth) I’m increasingly coming to the belief that it’s unethical to delay the application of these technologies in health due to the incredible potential for safer, more efficient care
Inspired! I've heard from visionary thought leaders from across a range of industries about the 10-year horizon to come. 2 full days in Leipzig, Germany at the Future World Congress 2023 organised by 2b AHEAD ThinkTank GmbH. Thank you Sven Gabor Janszky for bringing together such a compelling agenda and diverse speakers, including בן-ישראל Ben-Israel איציק Isaac, David Green, Richard Chung, Jens Michael Peters, Kilian Kleinschmidt, @Anja Contractor BeeHex, Inc. 3D Food Printing, Dr. Philip Low, Konrad Grüss, Thomas Sattelberger, Elisabeth Mansfeld, Gabor Forgacs, Dr. Norman Goldberg and Randal Koene
