The Importance of Data Quality and Access Rights in Regulated Industries

When it comes to companies operating in healthcare and other regulated industries, ensuring data quality and defining access rights are crucial steps to meeting performance, privacy, and safety standards. Sunil Venkataram, head of product at Wellframe, a HealthEdge company, emphasizes the importance of leveraging leading practices, tools, and trusted partners for data validation, auditing, monitoring, and reporting. Detecting and mitigating potential biases, errors, or misuse of AI-generated data is essential for maintaining compliance and ethical standards.

One critical aspect that organizations need to address is clarifying which AI tools employees can use in their daily workflows, research, and experimentation. A robust AI governance policy should outline the specific tools allowed, define which capabilities to utilize, identify functions to avoid, specify who within the organization can use AI tools, and establish guidelines for business processes that should not incorporate AI technology.

CIOs play a pivotal role in standardizing AI tools within their organizations to prevent issues such as shadow IT, costly tool proliferation, and data security risks associated with employees using unauthorized tools. By implementing policies that dictate how employees can recommend new tools and capabilities for evaluation, companies can ensure a cohesive approach to AI implementation and minimize potential risks.

By focusing on data quality, access rights, and AI governance policies, companies in regulated industries can navigate the complexities of compliance while leveraging the benefits of artificial intelligence technology in a responsible and ethical manner.

For more information on AI governance and data quality practices, visit here.