Why AI Governance Is Needed

Key points: Health systems are increasingly prioritizing the development of artificial intelligence (AI) oversight efforts as they are exploring the new opportunities.

 

Healthcare AI is generating a lot of buzz. AI chatbots such as OpenAI’s ChatGPT have caused continuous conversation about transformational potential and associated risks since they became available to the public and entered the healthcare arena.

 

While last year was mainly filled with discussion and controversy around generative AI, only a few health systems had developed definitive strategies for the advancing technology.

 

According to a survey by the Center for Connected Medicine with 35 healthcare leaders from 34 health systems, only 16% of health systems presently have a systemwide governance policy specifically intended to address AI usage.

 

As AI advances in health care and is increasingly adopted, a sustainable AI governance process is needed for all AI applications to establish basic rules related to data privacy and security, as well as legal issues.

 

(source: https://info.connectedmed.com/l/689353/2024-02-09/2lvknc/689353/1707510824kuJAqb0f/How_Health_Systems_Are_Navigating_The_Complexities_Of_AI_CCM_Reports.pdf?utm_source=media&utm_medium=referral&utm_content=HS-navigating-complexities-AI-report-PDF-PR&utm_campaign=AI-24)

 

 

The main challenges health systems face when launching an AI governance framework include “the evolving definition of AI, resource and training requirements for establishing AI governance as a discipline and choosing between centralized or federated governance models.”

 

(source: https://www.healthcareitnews.com/news/creating-path-sustainable-ai-governance)

 

According to January’s healthcare AI report from Deloitte, effective AI governance is getting lost behind data priorities across healthcare. According to their study, GenAI governance is key to building both consumer and employee trust.

 

“Implementing a governance model, inclusive of data, is important to help ensure the effective use and quality of data, mitigate data bias for equitable design and safeguard patient privacy.”

 

(source: https://www.healthcareitnews.com/news/healthcare-should-broaden-efforts-scale-genai-say-it-leaders)

 

AI is here to stay, and it’s rapidly growing. But it’s not clear yet how the healthcare industry will look when AI is more fully integrated. The framework for regulating AI will continue to advance as AI and the use of AI in healthcare settings changes.

 

As AI becomes more prevalent in health systems, policies and governance are essential to preventing problems in the future.

 

Does your organization have questions about governance policies and the development of a framework for AI usage and data access?

 

We at PCG provide innovative solutions to help improve healthcare. For more information on how PCG can assist you, visit www.primeauconsultinggroup.com.

 

 

 

Resources:

 

 https://www.healthcareitnews.com/news/creating-path-sustainable-ai-governance

 

https://www.healthcareitnews.com/news/healthcare-should-broaden-efforts-scale-genai-say-it-leaders

 

https://info.connectedmed.com/l/689353/2024-02-09/2lvknc/689353/1707510824kuJAqb0f/How_Health_Systems_Are_Navigating_The_Complexities_Of_AI_CCM_Reports.pdf?utm_source=media&utm_medium=referral&utm_content=HS-navigating-complexities-AI-report-PDF-PR&utm_campaign=AI-24

 

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