PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026American Journal of Computer Science and Technology0 citationsOpen Access

Zero-Downtime Migration Strategies for Decomposing Monoliths into Microservices in the Healthcare Industry: A Multivocal Literature Review

TPThomas Paul

Key Points

  • The aim is to explore and synthesize strategies that enable zero-downtime migration from monoliths to microservices in healthcare systems.
  • Conducted a multivocal literature review from peer-reviewed research and practitioner sources.
  • Retrieved and screened 87 records from various digital libraries, focusing on healthcare migration strategies.
  • Selected a focused set of studies for detailed synthesis based on predefined criteria.
  • Identified recurring migration strategies including event-driven integration and Change Data Capture.
  • Highlighted patterns like progressive traffic shifting and resilience controls to ensure continuous service.
  • Provided practical guidance for executing live migrations while maintaining compliance with regulations.

Abstract

Healthcare organizations are modernizing core platforms such as electronic health records (EHRs), order-entry, and billing systems, but decomposing long-lived monoliths into microservices introduces a critical challenge: how to migrate without interrupting mission-critical care operations. Regulated healthcare environments impose strict requirements for availability, patient safety, privacy of protected health information (PHI), auditability, and compliance (e.g., HIPAA and GDPR), which makes conventional migration approaches that rely on downtime or temporary service degradation unsuitable. This study reports a multivocal literature review that synthesizes evidence from peer-reviewed research and high-relevance practitioner sources on strategies that enable continuous service during migration in healthcare settings. Across the reviewed studies, recurring patterns include event-driven integration, Change Data Capture (CDC), coordinated dual-write, backward-compatible schema evolution, progressive traffic shifting (canary and blue-green), and resilience controls such as circuit breakers, idempotent consumers, and controlled failover. These patterns are complemented by observability, governance, and security controls (encryption, access control, and immutable audit logs) that preserve compliance during transitional states. A total of 87 records were retrieved from IEEE Xplore, ACM Digital Library, and SpringerLink (Scopus and Web of Science returned zero records for the search string). After screening and full-text assessment using predefined criteria, a focused set of studies was selected for detailed synthesis. The findings provide practical guidance for planning and executing live migrations in regulated, data-intensive healthcare systems and highlight areas where additional empirical validation is needed.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Thomas Paul (2026) studied this question.

synapsesocial.com/papers/698d6e5a5be6419ac0d5400chttps://doi.org/10.11648/j.ajcst.20260901.14
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1MIGRATING LEGACY HEALTHCARE SYSTEMS TO CLOUD-NATIVE MICROSERVICES WITH AI: BEST PRACTICES AND PITFALLS2025 · 2 citations
  2. 2The PRISMA 2020 statement: an updated guideline for reporting systematic reviews2021 · 103,986 citations
  3. 3Implementing the health insurance portability and accountability act (HIPAA) security rule :2024 · 24 citations
  4. 4Queued Transaction Processing2009 · 40 citations
  5. 5Guidelines for including grey literature and conducting multivocal literature reviews in software engineering2018 · 809 citations