New Chapter - Abbott
The Future of AI in Healthcare
I am excited to share that I have joined Abbott as Global Manager, AI & Digital Solutions. This role brings together my experience in artificial intelligence, data governance, product strategy, and enterprise transformation with a field that has always been deeply meaningful to me. Healthcare runs throughout my family, while technology shaped my own career through six years at Google across data and AI. Joining Abbott gives me the opportunity to apply that experience to products, research, and systems that directly reduce chronic disease.
The future of healthcare will be improved by organizations that can connect scientific expertise with rapidly advancing digital capabilities that focus on treating and curing chronic disease. Everything about medicine has become more of a mystery since Covid19 emerged in 2020, but artificial intelligence is expanding what researchers, engineers, clinicians, and business teams can discover, evaluate, and build. Abbott operates across viral diagnostics, medical devices, nutrition, cardiovascular care, diabetes management, and other areas.
AI will transform how healthcare organizations identify patterns, test hypotheses, develop products, and respond to emerging needs. Researchers can use advanced models to analyze complex datasets, compare findings across disciplines, and surface relationships that may be difficult to detect through traditional methods. Product teams can use AI to accelerate discovery, improve design decisions, and better understand how people interact with medical technology. Operational teams will also apply these capabilities to reduce friction.
Diagnostics may become one of the most consequential areas of AI-enabled healthcare. Many medical conditions remain difficult to identify because their signals are subtle, distributed across multiple systems, or poorly captured by a single test. AI can help connect laboratory results, medical imaging, device data, patient history, biomarkers, and longitudinal trends into a more complete picture. That capability could help healthcare professionals recognize disease earlier, distinguish between similar conditions, and identify subgroups.
Connected devices and continuous data will also play a major role in the next generation of healthcare. Medical devices are increasingly capable of producing real-time information outside traditional clinical settings, creating a clearer view of how health changes throughout daily life. AI can help interpret those streams, identify meaningful changes, and provide more timely insights to patients and care teams. Abbott’s device and diagnostics portfolio creates an extraordinary foundation for healthcare to become more responsive.
Scientific progress will also depend on the ability to connect insights across areas that have historically operated in separate systems. Complex diseases often involve interactions between the immune system, metabolism, the nervous system, genetics, environment, and behavior. AI can help researchers examine those relationships at a scale that would be extremely difficult to manage manually. The result may be stronger disease models, more targeted research questions, and new paths toward treatments for challenging conditions.
Responsible implementation will determine how much of this potential becomes reality. Healthcare AI must be accurate, secure, explainable, measurable, and aligned with the needs of the people using it. Strong governance, transparent evaluation, data quality, privacy protections, and clear accountability need to be built into the operating model from the beginning. My work at Google taught me how to translate emerging technology into scalable systems, align technical and business teams, and create responsible adoption.
In my new role, I will help evaluate emerging technologies, shape AI and digital roadmaps, support research and development, and guide solutions from early exploration into practical use. I am especially excited about the opportunity to help teams identify the right problems, select the right capabilities, and build the structures required to deliver measurable results. The work will require curiosity, discipline, collaboration, and a willingness to challenge assumptions… the type of conditions where I do my best work.
I am honored to join the people already advancing that mission and excited to contribute my experience to the work ahead.
The future potential is enormous.
