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Harnessing the Power of AI in Healthcare: 3 Ethical and Legal Considerations for Patient Privacy and Data Security

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White Paper 727-576-6700 | Solutions@FairWarning.com Executive Summary Artificial intelligence in healthcare has seen rapid innovations over the last few years. The most common AI application today, machine learning, can empower care providers to make better diagnoses, provide better patient care, and improve access to healthcare. Similarly, there's great potential for AI to innovate the areas of healthcare privacy and security. Machine learning algorithms can allow platforms to monitor how users are accessing data in EHRs, clinical, and other mission-critical systems, using behavioral patterns to detect possible privacy or security violations and reducing the incidence of false positives in this detection process. In PwC's 2017 Global Digital IQ Survey, 31 percent of healthcare executives said AI is the most disruptive technology in industry, outranking IoT, 3D printing, and robotics. i An influx of vendors with machine learning capabilities have made it more important than ever to ensure technology is being used in a way that increases patient trust and demonstrates due diligence and compliance to the OCR and other regulatory bodies. And the American Medical Association (AMA) recently released the first policy recommendations on AI in healthcare, with the goal of ensuring that AI is used to benefit patients, physicians, and the health care community as a whole. ii So how can providers harness the power of AI while keeping in mind the myriad ethical and legal considerations of such technology? Harnessing the Power of AI in Healthcare: 3 Ethical and Legal Considerations for Patient Privacy and Data Security If used properly, AI has the ability to transform healthcare privacy and security. If misused, it can lead to an ethical breakdown and myriad legal issues. In this whitepaper, we discuss how AI can empower healthcare privacy and security, including: O O The benefits of AI in healthcare. O O What care providers should keep in mind regarding the ethical use of AI to reduce legal, compliance, and regulatory risk. O O Three principles that organizations can use to guide their choice of technology and vendors. 1

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