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Healthcare Modernization
Episode: Healthcare Modernization – Cloud Migration & Responsible AI
Discussion Topics & Timestamps
Key Takeaways
Notable Quotes"AI, to me today, has the discernment of a mouse. AI doesn't really discern today—it doesn't know if the data provided is truthful or accurate.""Don't try to boil the ocean. Start with thorough assessments, prioritize compliance and security, and ensure you have executive buy-in before diving in."
Connect
Guest: Stephen Clark, Enterprise Solution Architect
Stephen Clark joins Dr. KJ to discuss how healthcare organizations can modernize legacy systems and embrace AI without compromising patient care or data security. The conversation covers phased cloud migration strategies, balancing clinical access with HIPAA compliance, and implementing AI responsibly to improve patient outcomes while protecting against bias.
Discussion Topics & Timestamps
- (00:00): Introduction and guest welcome
- (01:05): Legacy systems and phased cloud migration strategies
- (08:30): Hot sites, lift-and-shift vs. hybrid cloud approaches
- (13:20): Balancing clinical access with privacy and compliance
- (16:30): AI in healthcare: security applications and responsible implementation
- (24:00): Final thoughts: blueprints, executive buy-in, and crawl-walk-run
Key Takeaways
- Avoid the "big bang" approach – Healthcare cloud migration requires a phased, methodical strategy. Hybrid cloud lets you maintain existing DR/BC plans while modernizing incrementally.
- Data assessment comes first – Before addressing compliance, security, or migration, you must understand your current state: where data lives, what integrations exist, and who's consuming it.
- AI needs governance from day one – Responsible AI in healthcare requires clean data, continuous monitoring, transparency in decision-making, and a robust ethical framework policy.
Notable Quotes"AI, to me today, has the discernment of a mouse. AI doesn't really discern today—it doesn't know if the data provided is truthful or accurate.""Don't try to boil the ocean. Start with thorough assessments, prioritize compliance and security, and ensure you have executive buy-in before diving in."
Connect
Guest: Stephen Clark – (12) Stephen Clark | LinkedIn
Host: Dr. Kenneth Johnson – (12) Dr. Kenneth Johnson, CISSP | LinkedIn
Securing tomorrow, one episode at a time.
Hosted on Acast. See acast.com/privacy for more information.
View all episodes
By Kenneth JohnsonEpisode: Healthcare Modernization – Cloud Migration & Responsible AI
Discussion Topics & Timestamps
Key Takeaways
Notable Quotes"AI, to me today, has the discernment of a mouse. AI doesn't really discern today—it doesn't know if the data provided is truthful or accurate.""Don't try to boil the ocean. Start with thorough assessments, prioritize compliance and security, and ensure you have executive buy-in before diving in."
Connect
Guest: Stephen Clark, Enterprise Solution Architect
Stephen Clark joins Dr. KJ to discuss how healthcare organizations can modernize legacy systems and embrace AI without compromising patient care or data security. The conversation covers phased cloud migration strategies, balancing clinical access with HIPAA compliance, and implementing AI responsibly to improve patient outcomes while protecting against bias.
Discussion Topics & Timestamps
- (00:00): Introduction and guest welcome
- (01:05): Legacy systems and phased cloud migration strategies
- (08:30): Hot sites, lift-and-shift vs. hybrid cloud approaches
- (13:20): Balancing clinical access with privacy and compliance
- (16:30): AI in healthcare: security applications and responsible implementation
- (24:00): Final thoughts: blueprints, executive buy-in, and crawl-walk-run
Key Takeaways
- Avoid the "big bang" approach – Healthcare cloud migration requires a phased, methodical strategy. Hybrid cloud lets you maintain existing DR/BC plans while modernizing incrementally.
- Data assessment comes first – Before addressing compliance, security, or migration, you must understand your current state: where data lives, what integrations exist, and who's consuming it.
- AI needs governance from day one – Responsible AI in healthcare requires clean data, continuous monitoring, transparency in decision-making, and a robust ethical framework policy.
Notable Quotes"AI, to me today, has the discernment of a mouse. AI doesn't really discern today—it doesn't know if the data provided is truthful or accurate.""Don't try to boil the ocean. Start with thorough assessments, prioritize compliance and security, and ensure you have executive buy-in before diving in."
Connect
Guest: Stephen Clark – (12) Stephen Clark | LinkedIn
Host: Dr. Kenneth Johnson – (12) Dr. Kenneth Johnson, CISSP | LinkedIn
Securing tomorrow, one episode at a time.
Hosted on Acast. See acast.com/privacy for more information.