This paper discusses the challenge and opportunity of migrating legacy health care information systems to cloud-native microservices designs with additional artificial intelligence capabilities. Healthcare organizations have unique constraints including regulatory compliance requirements, data sensitivity concerns, and the high-value nature of the requirement for continuous availability of services. Through case study analysis and best practices from the industry, we identify top implementation strategies, pitfalls, and a road map to successful migration that achieves the optimal balance between innovation, patient safety, and data protection. Our findings are that a phased risk-managed implementation with suitable governance models and specialized AI modules can bring significant improvement in system scalability, interoperability, and clinical decision support with minimal disruption to care delivery.
Sai Rupesh Kagga (Thu,) studied this question.
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