Artificial Intelligence Can’t Help with the COVID Pandemic. Or Can it?

In the race against the pandemic, some of the tools and techniques that have held emerging promise in healthcare, including artificial intelligence (AI), machine learning (ML), and deep learning (DL),are being repurposed for battling coronavirus. But are these just hype, or is there real promise that like telehealth, the pandemic could dramatically accelerate their use in healthcare?

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So You Want to Keep Your Telehealth Visits After the Pandemic Ends? Don’t Get Too Cozy with Them Yet.

Nearly overnight, the coronavirus pandemic accomplished for digital health what decades of policy and reimbursement lobbying efforts could not; the sudden and widespread adoption of telehealth services for urgent and routine care. Although prior to COVID-19, there has been some evidence for increased satisfaction and efficiency of telehealth visits in primary care (1), it has recently been described in a summary of 58 systematic reviews, that evidence of clinical efficacy of telehealth visits has been lacking.(2) Nevertheless, despite the lack of robust clinical efficacy, the need for social distancing to limit spread of the coronavirus thrust the adoption of a digital health technology upon the healthcare system in a way never before seen. The resulting large-scale, natural experiment in telehealth is teaching us some early important lessons, but what lasting effects will telehealth have on the healthcare delivery system, and the ability for physicians to provide high quality care to patients remotely? And if you’ve liked telemedicine for remote visits with your doctor, will you get to keep it post-COVID?

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Can Digital Contact Tracing Be Leveraged to Reopen America?

The process of awakening America’s communities and businesses from their hiatus during the COVID-19 pandemic requires public health coordination to ensure reopening in the safest manner possible. The Centers for Disease Control suggests a multi-pronged approach, with contact tracing at the forefront. Like no time in the past, contact tracing may be substantially enhanced by digital health tools, but is there evidence that such approaches will work?

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Digital Health Tools for the Emergency Department Before, During, and After COVID-19

Increasing accessibility and efficiency in emergency departments (EDs) nationwide has been an active area of quality improvement. In the last decade, technological advances have been implemented to bridge gaps in access, standardize quality of care, anticipate extremes in patient census, and improve communication. The COVID-19 pandemic has underscored the need for creating operational efficiencies to prepare for surges. What is the role that digital health technologies may play in the ED to help accomplish these goals?

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Navigating the Digital Health Ecosystem to Bridge the Gap from Innovation to Transformation

This article examines the challenges of broad adoption of digital solutions within the healthcare industry and why evidence is so critical for advancement of digital health technologies. It then illustrates how emerging nonprofits are positioned to help the ecosystem overcome these challenges and to catalyze the process of matching the right evidence-based solution to the right clinical challenge.

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An Algorithm for Digital Medicine Testing

Over the last several years, there has been rapid growth of digital technologies attempting to transform healthcare. Unique features of digital medicine technology lead to both challenges and opportunities for testing and validation. Yet little guidance exists to help a health system decide whether to undertake a pilot test of new technology, move right to full-scale adoption or start somewhere in between.

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