A Typology of Phased Migration Strategies for Legacy JSP Interfaces of Clinical Information Systems to React Component Architecture
Keywords:
healthcare software; system modernization; clinical workflows; data consistency; software testing; risk management; patient safetyAbstract
This article investigates the architectural conditions under which legacy JavaServer Pages (JSP) interfaces in clinical information systems can be migrated to React while controlling risks to workflow continuity and data consistency. A structured integrative review combined with qualitative configurational synthesis was conducted using 15 publications selected from an initial set of 43 sources. Quantitative evidence was extracted to identify constraints associated with concurrent use, functional coupling, device integration, migration complexity, and clinically significant interface behavior. The analysis shows that migration scope alone is an insufficient basis for strategy selection. Shared mutable state, cross-module dependencies, and the consequences of regression determine whether a component, route, workflow, or subsystem can be transferred safely. Four archetypal migration configurations were derived by aligning the functional boundary with the coexistence mechanism, backend state authority, regression assurance, and recovery capability. The resulting Linked-Decision Model treats clinical criticality as a constraint on the minimum assurance level and distinguishes code rollback from the recovery or reconciliation of persisted data. A retrospective laboratory-scheduling case was used as an illustrative consistency check rather than empirical validation. The model provides a structured basis for deciding when phased coexistence is appropriate and when controlled full cutover may present lower risk.
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