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

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.

Authors

Institutions

Publication Details

Journal
American Journal of Computer Science and Technology
Published
2026-02-09
DOI
https://doi.org/10.11648/j.ajcst.20260901.14
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Thomas Paul
American Journal of Computer Science and Technology
Software System Performance and Reliability
article

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

Thomas Paul
article en

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.

American Journal of Computer Science and TechnologyVol. 9(1)
International Society of Nephrology (BE)
Reduced inequalities
Openalex Percentile: Top 66%
Software System Performance and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.