,
Vice President of Product and Clinical Implementation, Biofourmis , Boston, Massachusetts , United States
,
IBM Distinguished Engineer—Responsible AI
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Department of Information Systems and Statistics, Founder & CEO Qantm AI, Adjunct Assistant Professor, Paul H. Chook
,
Department of Family and Community Medicine, Division of Emergency Medicine, University of Toronto , Toronto , Canada
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CEO, Aexa Aerospace, Doctor of Management Specializing in Information Technology , Houston, Texas , United States
,
Medical Association of São Paulo Brazil
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Nagamed Digital Health Consulting, New York City , New York , United States
,
Feinberg School of Medicine & McCormick School of Engineering, Northwestern University , Evanston , United States
Clearstep , hicago, Illinois , United States
HealthTap , Sunnyvale, California , United States
Healthcare is rapidly evolving, particularly in the realm of digital health. When we consider the future of digital healthcare, it is impossible to ignore the vast potential of artificial intelligence (AI) and the profound impact it will have on the healthcare industry. This momentum of change has accelerated, particularly since the onset of the COVID-19 pandemic, and is largely attributable to workforce shortages and an increased demand for healthcare services. These circumstances have given rise to a unique scenario, compelling health-care to harness AI for various applications.The integration of AI in healthcare necessitates a comprehensive and rigorous approach to ensure accuracy and safety, acknowledging the inherent risks to patient care and safety when used improperly. When imple-menting care models that rely on AI for decision-making, it is imperative to establish meticulous workflows that emphasize human guidance in model development and allow models to adapt and learn from input data. In addition to prioritizing accuracy and safety, equal emphasis should be placed on the implementation of robust measures to protect patients from potential cybersecurity threats posed by data breaches. AI’s advantages extend beyond healthcare institutions, as patients will also experience a transformation in the way they receive care. Harnessing AI will empower patients to establish stronger connections with their health data and gain access to unique insights that are not readily available in traditional care models. These enhanced connections will enable patients to collaborate more effectively with their healthcare teams and receive care that is tailored to their specific needs.
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