ABSTRACT
Widespread use of telehealth, mobile health, and remote patient monitoring during the COVID-19 pandemic has given users a vision of what is possible in future healthcare worldwide. Artificial intelligence and predictive modeling capitalize on in-time, continuous data collection, and analytics to support patient and clinician decision-making. The necessary shift in health technology adoption during the pandemic has also highlighted a shift toward digital, health, and cultural literacy and the need for clinician and institutional competencies in order to maximize technology adoption and improve health outcomes. Healthcare providers and entire systems must consider necessary adjustments to financing, reimbursement, policy, training, and infrastructure. Propelled by the needs caused by the pandemic, there exists an opportunity to build on lessons learned and to create a new vision for the future of healthcare. Research is needed in the areas of user-centered design, implementation and effectiveness approach, models of care, human–computer interaction, ethical and legal issues, and economic cost analyses.