Changes coming in 2025 will challenge healthcare in ways that will force organizations to digitally evolve to avoid falling behind
the competition.

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According to Lidia Fonseca, Chief Digital and Technology Officer at Pfizer, “The healthcare industry is being rewired across the entire patient journey. The intersection of healthcare with the digital sector is accelerating this transformation. The pandemic acted as a catalyst, making people more fluent in using digital technologies and more receptive to virtual engagement.”

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Getting teams equipped with AI-powered solutions is key to a successful 2025 as rising patient demand and workforce shortages push healthcare systems to increase efficiencies. AI integration in diagnostics, automation, and patient care is no longer optional—it’s essential for reducing operational burdens and improving outcomes. As telemedicine and digital therapeutics expand, health systems must scale their digital capabilities with robust, scalable, and secure infrastructure to remain competitive.
However, many organizations are still running on legacy technology.

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What are Legacy Systems?

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Legacy systems refer to outdated computing software or hardware that’s still in use. But outdated doesn’t mean obsolete. In fact, a lot of legacy systems can still perform their intended functions. So why do legacy systems need an update? Because of their lack of functionality with modern technology (like artificial intelligence (AI) and machine learning (ML)) older applications can't scale to additional use cases or to new customers with new requirements.

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For healthcare, legacy systems will be a roadblock to patient outcomes. Older software typically involves unconnected solutions, manual processes, and siloed data — slowing down reaction times to evolving patient demands. To overcome the challenges of 2025 and beyond, healthcare organizations need to replace their outdated systems with modern solutions.

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The Rising Pressure to Evolve

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Healthcare faces unprecedented pressures from multiple fronts, including tech capabilities that demand change, evolving patient expectations, as well as the need to drive efficiencies in a resource constrained environment.

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Tech capabilities: Advanced technology is no longer a luxury — it’s an expectation. Companies must adopt capabilities like AI,
internet-of-things (IoT), and cloud computing to gain operational efficiencies. Manual processes that were acceptable five years ago are now becoming barriers to delivering on expected patient outcomes. For example, AI can sharply reduce the time required to integrate codebases, cutting a 2-3 year process in half. These tools free teams from repetitive, low-value tasks, enabling them to focus on strategic initiatives instead.

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Patient expectations: The era of cumbersome forms and outdated interfaces is ending. Patients now expect sleek, intuitive
experiences they can trust— often driven by conversational AI like chatbots and fully integrated Telehealth options. This requires
seamless APIs that connect patients to real-time data, enabling smarter decision-making and human-like responsiveness-- all while maintaining strict data privacy measures.

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Resource constraints: Health systems facing staffing shortages, rising costs, and growing patient demand must leverage AI- powered diagnostics, workflow automation, and cloud-based infrastructure to maintain efficiency and quality of care. Manual processes that once sustained operations are now bottlenecks, slowing response times and straining providers. For example, AI- driven administrative tools can reduce paperwork processing times by 50%, freeing up clinicians to focus on patient care instead of data entry. Organizations that fail to modernize risk falling behind as efficiency and scalability become the new standard in healthcare.

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But within each of these pressures lies the possibility to create competitive advantages. For companies willing to adapt to the demands of 2025, a dynamic market is theirs for the taking. Preparing for this means having a modern, scalable software in place
that’s backed by AI.

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Using AI for Patient Outcomes in 2025

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Modernizing software isn’t just a short-term fix — it’s a long-term investment in your organization's efficiency and innovation.
Integrating AI can provide a competitive advantage by delivering:

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Cost Savings: By automating repetitive tasks and predictive functions, AI reduces the need for manual intervention, cutting
labor costs and enabling organizations to compete in a tech-heavy marketplace.

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Speed: AI accelerates modernization by automating code analysis, system monitoring, and testing, all of which ensure faster
times-to-market. As markets adapt to geopolitical changes, being able to keep pace with the shifts will be imperative to a successful 2025.

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Scalability: Modern, AI-enabled platforms adapt and grow as your business evolves, making them future-proof. This is especially important as patient expectations push companies to run faster and smoother than legacy solutions would allow.

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Data Privacy & Security in AI-Powered Healthcare: As AI processes vast amounts of patient data, ensuring strict compliance with HIPAA and global data privacy regulations is critical. Healthcare organizations must adopt secure, transparent AI models that protect sensitive information while enabling real-time insights to improve patient outcomes. Balancing AI-driven efficiencies with robust data governance will be key to maintaining trust and regulatory compliance in 2025.

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Organizations that rely on aging, patchwork systems run the risk of being left behind in a year where speed, accuracy, and resiliency will define success. Meanwhile, automotive, logistic, and manufacturing organizations that leverage AI will set themselves apart as leaders.

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The AI Modernization Journey

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Emerging technologies are uniquely positioned to address the pressures facing healthcare systems — offering practical paths to transformation. And when it comes to using tech for modernization, nothing brings more to the table than AI.

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For example, mapping out codebases to uncover system connections was traditionally a manual process, which is not just labor intensive but also prone to errors — resulting in a high risk of overlooking critical dependencies. AI can automate this work at a level of speed and exhaustiveness that humans can’t match, delivering a comprehensive understanding of even the most complex systems in a fraction of the time.

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AI can also process and analyze vast amounts of data in real time. This is especially critical for industries like healthcare where high-throughput environments and intricate supply chains generate an overwhelming amount of information.
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Additionally, businesses need to prioritize strengthening the robustness of their security systems, which gets harder as the software ages. AI-driven security tools are crucial for protecting sensitive patient data. They can detect unusual activity, adapt to threats, and ensure regulatory compliance.
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By leveraging AI-driven software modernization healthcare organizations can thrive in 2025.

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Set Yourself Up for Success in 2025
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In 2025, organizations taking steps to shed legacy technology and adopt AI will emerge as leaders. AI isn’t just a tool — it's a catalyst for business transformation.

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For companies in the healthcare sector, leveraging AI to modernize software isn’t optional; it’s essential for maintaining patient outcomes, ensuring privacy, and driving efficiencies in an increasingly complex landscape.

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So don’t get left behind in this crucial shift. Start future-proofing your systems today and position your organization as a leader in the era of AI. See how you can do it with Stride100x.

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