De-Risking Healthcare Digital Transformation: Automated QA for SAP S/4HANA

Abstract

This article presents an analytical synthesis of approaches to de-risking the digital transformation of healthcare organizations based on SAP S/4HANA through automated quality assurance. The study is conducted as a systematic analysis of peer-reviewed scientific sources and focuses on interpreting the quantitative effects of test automation in terms of change controllability rather than solely development efficiency. Particular attention is paid to measurable indicators of release speed, test coverage, system recovery resilience, and behavioral predictability under frequent updates, as well as to their role in forming managed quality control loops. It is shown that the key factor of transformation sustainability is the extent to which critical quality-assurance risk areas—related to test authoring, maintenance, execution, and result formalization—are addressed, rather than the mere presence of automated test scripts. It is established that, in the healthcare context, the applicability of automation is determined by its integration into the computer system validation lifecycle and change-control processes that ensure requirements traceability and test reproducibility. The analysis demonstrates that the highest level of sustainability is achieved in models where test automation is embedded within a formalized quality-management framework and used as a mechanism for preventing risks associated with digital change. The article is of interest to researchers in digital health, enterprise information system architects, quality and validation specialists, and practitioners involved in transforming SAP landscapes in regulated environments.