| | MAY 20228UTLOOKHealthcare Tech IN MY OPINIONdream of a Mathematician to getting into the online advertisement industry to demystify the impact of data science and machine learning in the real world. Schwartz became particularly interested in learning the science behind online ads--showing the right ad to the right person at the right time. As he developed a deeper level of understanding in the same, he thought of repurposing his knowledge in the healthcare sector to treat the right patient at the right time and do something altruistic. Schwartz finally switched to healthcare sector, where he is focused on transforming healthcare standards by using the combined power of data, analytics and AI. In an interview with Pharma Tech Outlook, Schwartz shares his insights about the adoption of cutting-edge technologies such as AI in the healthcare sector. He also throws light on the limitations and scope of AI for the industry. How do you think the pandemic has brought about a new perspective in healthcare technologies? The pandemic has accelerated the desire to take advantage of various technologies and use them for healthcare. Currently, we are undergoing a massive transformation discovering the full potential of deploying cutting edge technologies in healthcare.There is more openness to try new things, take telemedicine, for example, which has proven to be a big hit with patients/consumers because of an improved experience. However, it is going to take a while when it comes to unlocking the full potential of more cutting edge technologies using AI.Why has the healthcare sector not been able to use AI to its full potential?Currently, AI is being leveraged by various industries. Some verticals such as, say, online advertising, is incredibly advanced in this front. So far, we can say that AI has been successful in guessing the purchasing intent of a person, and if this same technology were to be used in healthcare, one could hope it could solve most of the problems. However, the fact that AI has been great at guessing consumer intents comes from the massive amount of data it uses to make those predictions and the type of data used to make them. Unfortunately, this does not apply directly in healthcare, where there are vast data challenges as sources are varied, and a patient's journey is at the center of the predictions. To make things worse, the access to data is not equal across geographies. For example, in Europe, the data How AI Would Advance in HealthcareAs a young and passionate individual, Fernando Schwartz came to the US with a dream to become a Mathematician. He attained his PhD in the subject and worked as a professor for about 10 years, building his acumen in data science. After completing his tenure in academics, Schwartz realized, as he says, "I had all the science, but none of the data", which resulted in transitioning away from his living By Fernando Schwartz, PhD, Ex-Global Data Science Head, Commercial (AVP), Merck [NYSE:MRK] VP Data Science and Machine Learning, ADP [NASDAQ:ADP]
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