ジェレミー・ハリスはサッター・ヘルスの法務部門に登録された社内弁護士です。ハリス氏は、HIPAA/HITECHやCCPAを含む連邦および州のプライバシーおよび情報セキュリティ規則に関するアドバイスを担当しています。彼は、OCR調査への対応、技術的リスク、ビジネスアソシエイト契約、医療施設と法執行機関とのやり取り、及び健康保険プランのプライバシー問題に関して定期的にアドバイスを提供しています。
ハリス氏はユタ州プロボにあるブリガム・ヤング大学で学士号を取得し、同大学のJ.ルーベン・クラーク法科大学院を卒業しました。
ハリス氏は、2013年にサッター・ヘルスに入社する前に、アメリカ空軍で9年間現役のJAG士官として勤務していました。現在はアメリカ空軍予備役に所属しています。
Darren Pulsipher, Chief Solution Architect, Intel, discusses what data privacy really means and its future direction with Jeremy Harris, Assistant General Counsel – Privacy/Information Security, at Sutter Health.
In this episode, host Darren interviews Jeremy Harris and delve into the importance of establishing policies and guidelines for successful digital transformation. With the increasing prevalence of digital technologies in various industries, organizations need to adapt and embrace this transformation to stay competitive and meet evolving customer expectations.
In this episode of Embracing Digital Transformation, host Dr. Darren Pulsipher welcomes back Jeremy Harris, a privacy lawyer, to discuss the intersection of generative AI and privacy, particularly in the healthcare sector. They delve deep into the challenges faced by healthcare providers navigating complex regulations in California and the implications of generative AI, which indiscriminately scrapes data, meaning it collects data without discrimination or specific targeting. The duo examines real-world examples, such as how AI tools can assist with medical documentation and patient care while raising critical questions about data privacy and consent. The discussion underscores the need for updated regulatory frameworks to keep pace with the rapid evolution of technologies. ## Takeaways Generative AI holds immense promise in healthcare, offering significant benefits such as enhanced efficiency in patient documentation and data analysis. This potential is a beacon of hope for the future of healthcare. The intersection of generative AI and patient privacy raises complex legal and ethical concerns that demand our immediate attention. As healthcare professionals, legal experts, and individuals interested in digital transformation and privacy issues, we all have a crucial role to play in this discussion. It's clear that our current privacy regulations, such as HIPAA and CCPA, are struggling to keep pace with the rapid advancements in AI technology. This underscores the urgent need for updated regulatory frameworks to ensure the protection of patient privacy. - Doctors utilizing generative AI must navigate a landscape where improper use can result in legal implications and privacy violations. - The importance of informed patient consent cannot be overstated, especially when utilizing AI tools that collect sensitive health information. ## Chapters - [00:00] Welcome to Embracing Digital Transformation - [02:30] The Basics of Generative AI and Its Impact on Privacy - [05:15] Real-World Applications of Gen AI in Healthcare - [10:00] The Complexity of Privacy Regulations in California - [15:20] Ethical Concerns Surrounding Data Collection and Consent - [20:05] Risks and Responsibilities for Healthcare Providers - [25:40] Future Regulatory Frameworks for AI in Healthcare - [30:00] Conclusion and How to Connect with Jeremy Harris ```
In this episode of Embracing Digital Transformation, host Dr. Darren welcomes back data privacy and AI expert Jeremy Harris to explore the critical topic of developing a generative AI policy for organizations. As generative AI technologies like ChatGPT rapidly evolve, understanding how to utilize them effectively while safeguarding data privacy is paramount. Dr. Darren and Jeremy discuss the necessity for distinct generative AI policies, especially within sensitive sectors such as healthcare. Key points cover the need to balance innovation with compliance, the risk management of data, and the importance of establishing a clear governance structure to monitor AI use. Join us for a compelling conversation that equips technologists and business leaders with actionable insights for navigating the landscape of generative AI in their organizations, ready to be implemented in your context. ## Takeaways - Organizations should establish dedicated generative AI policies that complement existing data privacy and security measures. - Understanding the specific risks associated with generative AI—such as data control (ensuring that the AI does not misuse or leak sensitive data) and compliance (adhering to data protection laws and regulations)—is critical for effective governance. - Leadership buy-in and a clearly defined strategy are essential for responsibly integrating generative AI into operational processes. - Continuous monitoring of AI usage within organizations is necessary to adapt policies and ensure ethical practices. ## Chapters - [00:00] Introduction to the topic and guest - [02:15] The necessity of a distinct generative AI policy - [05:30] Differences between traditional data policies and AI policies - [10:00] Risks associated with generative AI in organizations - [15:30] Strategies for monitoring AI usage - [20:00] Ethical considerations in AI implementation - [25:00] The balance between innovation and compliance - [30:00] The importance of leadership and governance - [35:00] Conclusion and closing thoughts