Harnessing the power of AI in healthcare: Ethical & legal considerations
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.
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.
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.
Watch this on-demand webinar to learn:
- What the AMA’s 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
- 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.