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Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare
Who it's for:
  • security officers
  • cloud customers
  • AI engineers
  • IT professionals

Artificial Intelligence in Healthcare

Release Date: 01/06/2022

Artificial intelligence (AI) now has the potential to be integrated into all aspects of healthcare, from management to delivery and diagnosis. These advancements can help improve clinical outcomes, reduce cost, and improve population health. However, there remain some issues with AI that must be addressed. These include ethical and legal issues, a lack of data exchange, regulatory compliance requirements, and patient and provider adoption.

This document from our Health Information Management Working Group provides an overview of the fundamentals and concerns of using AI in healthcare systems at the present, with guidance, challenges, and predictions for the future. It provides examples, use cases, and treatment methods for how AI, machine learning, and data mining can be effectively utilized throughout a healthcare system, in areas such as telehealth, administering diagnoses, and patient care. It also addresses ethical challenges, legal issues, and how to reduce bias in AI.

Key Takeaways:
  • How robotics and Robotic Process Automation (RPA) are used for a multitude of different tasks throughout healthcare delivery organizations (HDOs)
  • How AI helps healthcare service providers improve the precision of diagnoses
  • How HDOs can use predictive analytics to provide better services and reduce cost
  • How telehealth uses AI to distribute electronic medical cards, administer personal consultations, and more
  • How to reduce bias in your AI algorithm and the ethical and legal challenges related to AI 

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Acknowledgements

Ashish Vashishtha Headshot
Ashish Vashishtha
Cybersecurity - Sr. Risk Manager & Security Architect at IBM

Ashish Vashishtha

Cybersecurity - Sr. Risk Manager & Security Architect at IBM

Analytical, results-oriented IS/IT Audit, Governance, Risk, and Compliance (GRC) leader over 19 years of experience managing enterprise-wide IT/IS security risk approach for large healthcare and IT services organizations. Passionate design thinker with an ability to harness innovation by facilitating collaboration to develop enterprise-wide security risk assessments (onsite as well as remote) for high-risk Third-Parties leveraging NIST 800-...

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Vincent Campitelli Headshot
Vincent Campitelli

Vincent Campitelli

After retiring from McKesson Corporation in 2016, Vince joined the Office of the President within the Cloud Security Alliance (CSA). Serving as an Enterprise Security Specialist, Vince supports the vast membership base of CSA in consuming and leveraging the numerous services, tools and expanding scope of research devoted to Cloud Computing. With his background in both the healthcare and financial service industries, Vince actively works wit...

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Alex Kaluza Headshot
Alex Kaluza
Research Analyst, CSA

Alex Kaluza

Research Analyst, CSA

This person does not have a biography listed with CSA.

Michael Roza Headshot
Michael Roza
Risk, Audit, Control and Compliance Professional

Michael Roza

Risk, Audit, Control and Compliance Professional

Since 2012 Michael has contributed to over 85 CSA projects completed by CSA's Internet of Things, Zero Trust/Software-Defined Perimeter, Top Threats, Cloud Control Matrix, Containers/Microservices, DevSecOps, and other working groups. He has also served as co-chair of CSA's Enterprise Architecture, Top Threats, and Security-as-a-Service working groups while also serving as the Standards Liaison Officer for IoT, ICS, EA, SECaaS, and Cloud Key M...

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Saurabh Saraswat Headshot Missing
Saurabh Saraswat

Saurabh Saraswat

This person does not have a biography listed with CSA.

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