Near-Term Digital Health Predictions: A Glimpse into Tomorrow’s AI-driven Healthcare

Authors

  • Sarah Bell, RN, MSN, MHA Vice President , Product and Clinical Evaluation, Biofourmis
  • Calvin D. Lawrence, MSc Distinguished Engineer – Responsible AI, IBM https://orcid.org/0009-0008-0424-1078
  • Seth Dobrin, PhD Founder & CEO QuantmAI, Adjunct Assistant Professor, Paul H. Chook Department of Information Systems and Statistics
  • William Cherniak, MD MPH CCFP(EM) DABFM CEO, Rocket Doctor, cofounder and Board Chair of Bridge to Health Medical and Dental, Assistant Professor, University of Toronto, Department of Family and Community Medicine, Division of Emergency Medicine https://orcid.org/0000-0003-3001-2400
  • Dr. Fernando De La Peña Llaca, PhD, MSc, CEO, Aexa Aerospace CEO, Aexa Aerospace https://orcid.org/0000-0002-3151-101X
  • Jefferson G. Fernandes, MD, MSc, PhD, MBA Medical Association of São Paulo https://orcid.org/0009-0003-5031-8439
  • Aditi U. Joshi MD, MSc, FACEP Founder, Nagamed Digital Health Consulting https://orcid.org/0000-0001-6828-7181
  • Bilal Naved MD PhD (Candidate) Northwestern University, Feinberg School of Medicine & McCormick School of Engineering, Co-founder & Chief Product Officer, Clearstep https://orcid.org/0000-0001-5870-624X
  • Geoffrey Rutledge, MD,PhD, FACMI Chief Medical Officer and Co-founder, HealthTap

DOI:

https://doi.org/10.30953/thmt.v8.452

Keywords:

AI , artificial intelligence , care models, cybersecurity and health data breaches, digital health, health data , healthcare predictions, patient care safety, predictions, telehealth predictions 2024, virtual care

Abstract

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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References

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Published

2023-11-23 — Updated on 2023-11-27

Versions

How to Cite

Bell, RN, MSN, MHA, S., D. Lawrence, MSc, C. ., Dobrin, PhD, S., Cherniak, MD MPH CCFP(EM) DABFM, W. ., De La Peña Llaca, PhD, MSc, D. F. ., Fernandes, MD, MSc, PhD, MBA, J. G. ., Joshi MD, MSc, FACEP, A. U. ., Naved MD PhD (Candidate), B., & Rutledge, MD,PhD, FACMI, G. . (2023). Near-Term Digital Health Predictions: A Glimpse into Tomorrow’s AI-driven Healthcare. Telehealth and Medicine Today, 8(5). https://doi.org/10.30953/thmt.v8.452 (Original work published November 23, 2023)

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