Platform Engineering and Service Automation in Healthcare: A Case Study Approach

Platform Engineering and Service Automation represent transformative technologies in healthcare, enabling organizations to overcome industry-specific challenges including regulatory compliance, interoperability issues, legacy system constraints, and data complexity.This article explores how healthcare institutions can leverage cloud-based platforms, containerization, microservices architectures, and infrastructure as code to establish robust technical foundations while implementing administrative, clinical, and operational automation.Through a detailed case study of Memorial Health System's digital transformation journey, the article illustrates how an Enterprise Cloud Architect can successfully lead implementation of healthcare-specific PaaS offerings and service automation initiatives to achieve improved operational efficiency, enhanced patient satisfaction, and significant cost savings.The paper offers strategic, technical, and organizational best practices for healthcare organizations undertaking similar transformations, emphasizing the importance of aligning technology initiatives with organizational goals, embracing open standards, designing for security and scalability, and investing in change management and governance frameworks.

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2025-04-17
DOI
https://doi.org/10.56726/irjmets69851
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Platform Engineering and Service Automation in Healthcare: A Case Study Approach

International Research Journal of Modernization in Engineering Technology and Science
Digital Transformation in Industry
article

Platform Engineering and Service Automation in Healthcare: A Case Study Approach

article en

Abstract

Platform Engineering and Service Automation represent transformative technologies in healthcare, enabling organizations to overcome industry-specific challenges including regulatory compliance, interoperability issues, legacy system constraints, and data complexity.This article explores how healthcare institutions can leverage cloud-based platforms, containerization, microservices architectures, and infrastructure as code to establish robust technical foundations while implementing administrative, clinical, and operational automation.Through a detailed case study of Memorial Health System's digital transformation journey, the article illustrates how an Enterprise Cloud Architect can successfully lead implementation of healthcare-specific PaaS offerings and service automation initiatives to achieve improved operational efficiency, enhanced patient satisfaction, and significant cost savings.The paper offers strategic, technical, and organizational best practices for healthcare organizations undertaking similar transformations, emphasizing the importance of aligning technology initiatives with organizational goals, embracing open standards, designing for security and scalability, and investing in change management and governance frameworks.

International Research Journal of Modernization in Engineering Technology and Science
Industry, innovation and infrastructure
Openalex Percentile: Top 90%
Digital Transformation in Industry
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.

Platform Engineering and Service Automation in Healthcare: A Case Study Approach · International Research Journal of Modernization in Engineering Technology and Science (2025) | TGRS Research Map | TGRS