Healthcare organizations can find help to handle aspects of their stack that they often don’t have the staff or expertise to manage.
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Traditionally, the most common perception of healthcare was that it was slower to adopt new technologies compared with other industries by at least a decade. Now, as artificial intelligence becomes a feature or the main capability for solutions meant to support the space, healthcare organizations have become savvier about taking advantage of tech sooner.
NVIDIA’s latest State of AI in Healthcare and Life Sciences survey found that 70% of organizations in these sectors are actively using AI, and 47% are using or assessing agentic AI. And with budgets on the minds of many healthcare leaders, 80% of them said AI is helping to reduce costs.
As organizations continue to explore how AI can augment their workflows, that means infrastructures have evolved from legacy, on-premises approaches to cloud-centric and AI-enabled ones. That change comes with added complexities for many internal healthcare IT teams. Organizations often face three common hurdles: skill gaps, challenges with aligning technology investments with business objectives, and the difficulties of managing hybrid and multicloud environments. These issues make managed cloud and AI services a strategic necessity.
DISCOVER:How do managed cloud and AI services turn complexity into business advantage?
Three Common Challenges for Healthcare Organizations
Many healthcare organizations face significant hurdles to managing fast-changing, complex environments. Addressing these gaps is critical if organizations want to leverage AI competitively while maintaining control amid risks associated with poorly executed AI, including compliance failures, data breaches and hallucinations.
- Cloud skills gaps:Many organizations struggle to recruit and retain talent with deep expertise in cloud operations, hybrid environments, security and AI integration. Managed services help by embedding certified professionals into operational workflows to provide strategic guidance and hands-on support. Internal teams can then focus on high-value work rather than firefighting day-to-day issues.
- IT-to-business alignment:A strategic partner can help healthcare leaders map technology capabilities to business priorities such as streamlining clinician workflows, improving the patient experience and ensuring compliance. This collaborative model fosters shared accountability and better resource planning, ensuring that cloud and AI services enable organizational goals while simplifying operations.
- Multicloud/AI complexity:Cloud environments often span multiple providers and legacy systems, which can make integration, governance and compliance efforts hard. Many organizations also deploy multiple AI solutions. Managed cloud services offer unified oversight and best practice frameworks that help to tame this complexity, bringing coherence to disparate cloud usage and reducing architectural sprawl.
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Why a Strategic Partner Can Help With AI and Cloud
Managed cloud and AI services address these three major hurdles in a way that ultimately increases agility and accelerates innovation. With the right strategic partner, healthcare organizations can shift from reactive management to strategic execution, confident that they have a solid foundation for AI initiatives.
First, managed service providers help improve operational efficiency, shifting healthcare organizations to proactive operations by providing continuous monitoring and optimization and enforcing consistent governance and security. Services such as cost tracking, incident management, architectural consultations and on-demand engineering expertise help organizations increase ROI on existing investments while allowing internal teams to focus on strategy.
Next, managed service providers support business agility, which is key for healthcare organizations to stand out in competitive markets. Business leaders gain enhanced visibility into performance metrics and cloud usage, enabling data-driven decisions that support scaling, modernization and strategic innovation. Such partners also enhance flexibility, enabling health systems to leverage and adapt to emerging technologies with greater speed and confidence.
Finally, the right partner promotes accelerated innovation. AI evolves so quickly that healthcare IT teams can stay stuck in research and development mode. By creating a stable foundation for innovation, partners often speed up initiatives by allowing teams to focus on execution. With partners handling day-to-day maintenance and operations, IT teams can prioritize moving AI solutions from pilot to production.
The Effective Outcomes of a Necessary Partnership
Managed cloud and AI services provide the stability, governance and scalability organizations need to move forward with confidence.
- Run reliably and govern responsibly:Ensure operational continuity and centralized oversight to prevent resource sprawl and wasteful cloud spending. Expert providers use cloud-native tools, automation frameworks and best practices to handle tasks such as performance tuning, patching, compliance monitoring and governance.
- Scale intelligently:AI and automation enable predictive operations. Instead of waiting for issues to occur, AI models continuously monitor cloud infrastructure to detect unusual patterns and then alert teams or act automatically. AI-enabled management dynamically optimizes resource allocation, adjusting capacity for variable workloads and scaling infrastructure based on real-time demand to avoid under- and overprovisioning. Predictive insights help organizations anticipate future demand so they can plan upgrades or scaling efforts ahead of time.
- Streamlined support:There are distinct advantages to engaging a single partner with the expertise to manage integration across all of the major cloud providers and AI environments. In addition to eliminating silos and simplifying administration across workloads, consolidating cloud and AI support under a single partner increases consistency and improves the overall coordination of these resources.
Find an all-in-one partner that can simplify the complexity of cloud and AI management across different environments. With certified experts across Amazon Web Services, Microsoft Azure and Google Cloud Platform, as well as deep expertise in AI governance frameworks, CDW brings a technical depth and breadth that most organizations cannot build in-house.
Engagement options range from targeted operational support to full ownership of AI operations, giving healthcare organizations the flexibility to scale partnership as their needs evolve. CDW’s proven track record of managing complex, multicloud environments at scale makes it a trusted partner at every stage of the AI journey for healthcare.
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