Healthcare Industry
With the healthcare industry facing increasing demands, from patient care management to complex administrative workflows, there is a need for transformative solutions to enhance efficiency and outcomes. Artificial Intelligence (AI) emerges as a powerful technology to address these challenges, with the potential to revolutionize patient interactions and administrative processes. Generative AI, in particular, holds the promise of transforming patient care.
However, successful implementation of AI in healthcare goes beyond advanced technology—it requires expert integration to ensure seamless fit into existing systems, regulatory compliance, and enhanced patient experience, both on-premises and in the cloud.
Global system integrators like NTT Data, Deloitte, and Cognizant play a crucial role in this space. Leveraging their expertise in AI, cloud, and healthcare, these industry leaders are assisting healthcare providers in modernizing and deploying AI-based solutions, thereby reshaping the healthcare landscape.
Domain Expertise in Healthcare and AI
Global System Integrators (GSIs) possess a unique blend of domain knowledge and technological expertise, enabling them to design AI solutions tailored to the specific needs of healthcare providers.
For instance, NTT Data offers healthcare-specific AI solutions that can be customized for new applications. Through partnerships like the one with Amelia, a Conversational AI platform, NTT Data enhances patient engagement and streamlines healthcare operations by providing personalized interactions and automating tasks such as appointment scheduling and inquiries.
Deloitte’s Frontline AI Teammate platform, powered by Nvidia’s AI Enterprise platform, creates lifelike digital avatars to improve patient interaction and alleviate administrative burdens, allowing medical staff to focus on critical care tasks.
Cognizant’s partnership with Google Cloud delivers healthcare solutions utilizing large language models to streamline administrative processes such as contract management and call center operations.
These GSIs blend healthcare-specific AI solutions with operational requirements, ensuring effectiveness, scalability, and compliance with industry standards.
Customization and Integration with Existing Systems
A key challenge in deploying AI solutions in healthcare is seamless integration with existing IT systems, workflows, and data architectures. GSIs like NTT Data specialize in complex integration to ensure smooth transitions and quicker deployment.
NTT Data’s collaborations with healthcare providers like Duke Health focus on building AI-based solutions for home care delivery, integrating automation, device interoperability, and remote patient monitoring to enhance in-home healthcare services.
By developing custom AI tools that align with a healthcare provider’s existing platforms, GSIs facilitate smoother transitions, less downtime, and rapid deployment, enabling providers to realize the benefits of AI more efficiently.
Compliance and Security Expertise
Healthcare being a highly regulated industry, GSIs are well-versed in data privacy, security, and regulatory compliance requirements like HIPAA. They implement AI solutions that protect patient data and comply with legal standards.
For instance, Cognizant’s AI solutions for healthcare leverage Google Cloud’s secure infrastructure to safeguard sensitive data and adhere to privacy standards.
GSIs focus on responsible AI principles to ensure ethical and transparent deployment of AI. This emphasis on regulatory compliance helps healthcare organizations avoid legal issues while benefiting from advanced AI innovations.
NTT Data’s Dr. John Frownfelter highlights the challenges of AI in healthcare related to regulatory compliance and the evolving regulatory landscape, emphasizing the need for solution providers with expertise in navigating these complexities.
Scalability and Global Reach
GSIs offer the advantage of scaling AI solutions globally to adapt to diverse healthcare systems, regulatory environments, and cultural expectations. They can customize solutions to suit different regions and support healthcare organizations at every stage of their AI journey.
Deloitte’s Frontline AI Teammate, with multilingual capabilities, addresses patient concerns and administrative needs in healthcare systems worldwide. This scalability is crucial for large healthcare organizations operating in multiple regions or serving diverse populations.
Additionally, GSIs provide support for strategy, planning, deployment, and maintenance of AI solutions, ensuring continuous value delivery as healthcare provider needs evolve.
Reducing Administrative Burden and Improving Patient Outcomes
The deployment of AI in healthcare aims to solve real-world challenges such as reducing administrative burden, enhancing patient satisfaction, and improving clinical outcomes. AI-powered digital agents automate tasks like appointment scheduling and patient queries, freeing up healthcare providers for critical patient care.
NTT Data’s collaboration with Duke Health focuses on creating an AI-driven model of care for in-home healthcare services, improving patient convenience, comfort, and health outcomes.
AI solutions streamline administrative workflows, improving efficiency and cost-effectiveness in healthcare operations. These solutions not only benefit providers but also enhance the overall patient experience.
Analyst’s Take
As healthcare providers embrace AI solutions, GSIs like Deloitte, Cognizant, and NTT Data play a pivotal role in this transformation. Their expertise in healthcare-specific AI applications and their ability to integrate, scale, and secure these solutions make them essential allies in healthcare modernization.
AI in healthcare is an ongoing journey that requires continuous innovation and support. GSIs, with their technological partnerships and research investments, are well-equipped to provide long-term support to healthcare providers.
By partnering with GSIs, healthcare providers can navigate the complexities of AI adoption, technological challenges, and regulatory compliance while improving operational efficiency and patient outcomes. With GSIs leading the way, the future of AI in healthcare looks promising, with benefits for both providers and patients already being realized.
