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FairWarning Executive Series Webinar

Artificial intelligence gives care providers the opportunity to accomplish more, more quickly. The healthcare AI market is predicted to reach $6.6 billion by 2021 (Frost & Sullivan) helping care providers deliver improved outcomes, increased efficiency, and better patient care. The same can be said for healthcare data privacy; AI and machine learning can empower organizations to secure patient data against advanced threats with massive scale and accuracy.

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Executive Summary

In healthcare, artificial intelligence (AI) – or “augmented intelligence,” as the AMA calls it – is about enabling machines to help professionals provide better care to patients. In PwC’s 2017 Global Digital IQ Survey, 31 percent of healthcare executives said AI is the most disruptive technology in the industry, outranking IoT, 3D printing, and robotics. These factors, combined with the influx of vendors with machine learning capabilities, have made it more important than ever to understand the foundation of AI technology – and how to use it in a way that increases, rather than diminishing, patient trust.

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Used properly, AI can improve patient outcomes and professional satisfaction. It can empower care providers, security and privacy professionals, and more to make better decisions with the support of sophisticated tools. But if not handled properly, it could open organizations up to myriad ethical and legal issues.

On the FairWarning Executive Series webinar “Harnessing the Power of AI in Healthcare: Ethical and Legal Considerations,” HIPAA legal expert Iliana Peters of Polsinelli joined FairWarning’s VP of Product Management & Engineering, Chris Arnold, to discuss how AI can empower providers – and key considerations for implementing AI in healthcare moving forward.

Watch the replay above to learn:

  • What the AMA’s recent policy recommendations say about using AI in healthcare, and the goals all healthcare organizations should strive toward.
  • How the healthcare sector is beginning to use AI in research and clinical settings to improve patient outcome and professional satisfaction, including:
    • Research and clinical decision support
    • EHR research
    • Fraud detection
    • Cybersecurity
  • The three principles for the ethical and legal use of AI in healthcare – and what security and privacy professionals must keep in mind about the use of AI in their healthcare organization.
  • How to discuss the purchase and use of AI-enabled technology with your board or executives.
  • How to vet solution providers – including the No. 1 thing to look for when moving forward with AI technology.

Related content:

Aligning Your Healthcare Organization With AMA’s AI Policy Recommendations
Ethical Use of Machine Learning Essential to Health of Globe


Iliana Peters


Chris Arnold

VP, Product Management & Engineering