Addressing legacy system challenges through EA in healthcare
Keywords:
enterprise architecture, healthcare, legacy systemsAbstract
Healthcare legacy systems face technological obsolescence, integration challenges, security hazards, and escalating expenses. These obsolete technologies hinder interoperability, data-driven insights, and regulatory compliance in hospitals. These topics need thought. Enterprise Architecture (EA) reviews, plans, and monitors legacy system upgrades to assist healthcare firms align IT systems with business goals, utilize resources, and ensure scalability, security, and performance. Studies suggest EA's seamless integration, interoperability, and regulatory compliance may simplify older healthcare systems.
Legacy healthcare systems provide clinical, administrative, and operational tasks. With AI, cloud computing, and big data analytics, legacy systems inhibit healthcare innovation. Many outdated systems slow operations, create data silos, and prevent healthcare firms from embracing modern IT. Many vendors no longer support old technologies, making them costly and resource-intensive to maintain and support, raising security risks and system failures. Outdated systems compromise healthcare data quality, availability, and security. IT transformation using Enterprise Architecture makes systems adaptable and scalable.
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