The following is a guest post from Emmanuelle Hose, GVP Industry Solutions & Strategic Sales at Rimini Street
The use of AI in the healthcare market is boomingreaching $22,449.3 million in 2023 and is expected to grow 37.5% annually through 2030. From improving patient care and streamlining administrative processes to aiding medical research and to diagnostics, AI is revolutionizing healthcare. Yet this promise comes with challenges that healthcare leaders must address to fully realize the benefits of AI and avoid potential pitfalls.
Healthcare organizations are increasingly forced to innovate and adapt, while managing their IT costs. As cloud costs are increasing and implementing AI is becoming increasingly complex, succeeding with this technology requires having a dynamic and flexible IT strategy. This article explores three key steps to help healthcare CIOs and IT leaders unlock the full potential of AI without compromising security, regulatory compliance, or budget integrity.
Prioritize Data Quality for AI Success
High-quality data is the cornerstone of effective AI solutions. But for healthcare organizations, ensuring data quality isn’t just about improving AI outcomes: it’s also vital for patient safety and care. This means that clean, accurate and complete data is fundamental to operational efficiency, improved patient care and clinical decision-making.
For this reason, healthcare organizations must evaluate their data systems to ensure they have centralized, secure, and compliant repositories. These key questions can help with the assessment:
- Are processes in place to validate and clean data before it is used in AI processing?
- Are there standardized protocols for data collection that ensure compliance with regulations such as HIPAA?
- Is the infrastructure in place to continuously monitor data quality over time and ensure seamless data integration across various platforms and systems?
As healthcare leaders integrate advanced AI solutions into their businesses, ensuring data integrity from the start is a crucial step for successful AI implementation.
Ensuring security and regulatory compliance
In the healthcare field, data security is essential. Actually, 14 million patients in the healthcare sector in the United States were hit by security breaches in 2024. Integrating AI without appropriate security measures can expose organizations to vulnerabilities, putting both patient data at risk patients and business operations. The rise of AI in healthcare has introduced new attack vectors, making robust cybersecurity essential.
Implementing AI responsibly requires taking a proactive approach to security and implementing robust data governance practices. To help protect AI deployment and build trust in AI technologies, healthcare IT leaders must ensure that new investments will not compromise security and will be used safely and securely. ethics throughout the organization.
Meeting compliance and regulatory requirements, such as HIPAA or GDPR, is essential for healthcare organizations. And with regulatory measures constantly evolving at local, national and global levels, healthcare leaders also face the ongoing challenge of maintaining compliance. To achieve this, AI tools must be deployed in a manner that is both legally compliant and aligned with best practices in data protection and patient care.
Optimize ERP for AI integration
Large-scale AI implementations, especially those related to extensive ERP upgrades pushed by software companies, can be costly and disruptive. This can be particularly disruptive for healthcare companies that operate on highly customized systems to meet their specific needs.
Instead of opting for vendor-imposed redesigns, healthcare organizations can adopt a “composable ERP” approach and innovate at the edge of their infrastructure. This allows them to maximize their existing IT investments and, by integrating best-in-class AI technologies into their current business systems, organizations can quickly benefit from AI capabilities tailored to their specific needs.
With a composable ERP strategy, IT managers reduce their reliance on vendor-driven upgrades and maintain control of technology decisions. Collaborating with third-party IT support professionals – instead of keeping pace with software vendors – can further increase the value of today’s ERP systems while accelerating AI adoption and helping ensure flexibility and adaptability in the long term.
Leveraging the benefits of AI: a strategic and sustainable approach
A critical component of AI success in today’s digital healthcare landscape is an adaptable, secure, and patient-centric AI deployment approach.
Healthcare IT leaders must focus on building a solid foundation of high-quality data, implementing robust security and compliance protocols, and utilizing flexible IT support strategies that allow them to maximize existing investments while enabling AI integration.
By taking these steps, healthcare organizations can harness the transformative power of AI to gain efficiencies, improve patient care, and achieve sustainable growth, all while avoiding unnecessary costs and disruption to the organization.
About Emmanuelle Tuyau
Emmanuelle Hose has nearly 30 years of proven experience in the IT industry, leading enterprise software sales, service and development operations across multiple regions: Europe, North America, Middle East, Africa and Oceania . She most recently led Rimini Street’s sales operations in EMEA and, prior to that, ANZ, providing exceptional service to customers, accelerating sales growth and strengthening Rimini Street’s leading position in the software support market in these markets. regions.
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