Critical Review: Design Science Research in Quality Improvement: Embedding Rigour in Digital Health Innovation
Case Study Research in Business: A Critical Review
Critical Review: Design Science Research in Quality Improvement: Embedding Rigour in Digital Health Innovation
Introduction
Design science research (DSR) functions as an effective research framework that researchers use to investigate fields that require both innovative solutions and practical execution to develop their theoretical aspects. Digital health innovation requires research methods that produce prescriptive knowledge through empirical description and artefact development and assessment. The authors Dyers Mahomed and van Greunen (2025) present their article “Design Science Research in Quality Improvement: Embedding Rigour in Digital Health Innovation” to demonstrate how DSR functions as a research framework that connects theoretical development with practical health care solutions. The present critical review assesses the article through its theoretical contributions, methodological approach, argumentative power, and practical effects and ethical assessment.
Summary of the Article
Dyers et al. (2025) present DSR as an innovative research methodology that helps researchers solve complex health system problems. The authors define DSR as a paradigm that treats artefacts through their technological solutions because they use their design elements to solve problems. The researchers show how DSR differs from natural scientific methods because DSR uses developed artefacts for knowledge creation, while scientific methods use descriptive or experimental designs to explain scientific phenomena.
The authors use six essential stages to explain the DSR process, which include problem identification and objectives specification, design and development, demonstration and evaluation and communication. The research shows how these stages help researchers in digital health to change unclear problem areas into solutions that they can test through scientific methods. The article establishes DSR as a methodology within quality improvement because both methodologies work together to improve quality through better execution, while DSR develops knowledge through object-based research activities.
Critique
Significance and Contribution to the Field
The article shows why design science research remains important for health innovation work, which specifically needs this research. DSR enables digital health tools to develop through its ability to create artefacts that function as both solutions and knowledge frameworks. The dual function of this system provides support for methodological development, which benefits researchers who study practical health solutions and theoretical health research. Dyers et al. (2025) show that DSR develops beyond basic problem understanding because it builds artefacts that contain design principles and educational content inside their design. The comprehensive perspective offers benefits to both scholarly research and practical use, which creates value for both scientists and professionals.
The article presents its main findings through conceptual statements that lack supporting evidence. The authors establish DSR as a philosophical foundation that relates to quality improvement, but they fail to deliver substantial evidence through case studies, which restricts their argument’s ability to be applied in real-world situations.
Methodology and Research Design
The article uses a conceptual methodological framework to demonstrate how DSR functions while showing its philosophical differences from standard empirical research methods. The approach provides comprehensive guidelines that direct artefact development processes and assessment methods, and show how to implement quality improvement practices. The authors present a six-phase DSR model that helps beginning researchers who want to study digital health research through the DSR method.
The article demonstrates its main strength through DSR implementation examples, which show how DSR works in different health innovation projects. The article would have become more applicable to real-world situations through the inclusion of specific examples that show implemented artefacts together with their detailed case evaluation results and comparative assessments of different methodologies. The readers receive a strong theoretical framework, which lacks practical knowledge about DSR methods used in digital health research compared to other research methods.
Argumentation and Use of Evidence
Annamalah et al. (2026) present a coherent argument that links theoretical importance with The authors present their arguments in a clear manner while they explain the differences between DSR and other research methods through their philosophical framework. The connection between DSR and quality improvement creates a deeper discussion scope because both frameworks help achieve healthcare advancements through their distinct contributions. The article establishes its persuasive power through its conceptual explanations which the researcher needs to prove with actual evidence.
The evidence exists as conceptual material which prevents people from proving DSR effectiveness through practical demonstration. The authors need to provide specific examples that show how artefacts deliver prescriptive knowledge because their current assertion needs detailed case studies to prove how artefacts create knowledge through their application in electronic health record systems and decision-support system development.
Ethical Considerations and Omissions
The authors’ arguments are presented in a clear manner, and they clearly explain the philosophical differences between DSR and other research methods. The relationship between DSR and quality improvement brings additional value to the discussion because both systems work together to create better healthcare solutions. The article develops its main argument through theoretical explanations that lack sufficient empirical proof. The evidence exists in a conceptual form, which results in DSR effectiveness claims needing theoretical assessment. The authors assert that artefacts contain prescriptive knowledge, but the argument needs specific healthcare case studies, which will show how artefacts developed knowledge through their use in electronic health record systems and decision-support systems.
Writing Style and Structure
The article presents its content through organised sections, which help readers progress from basic concepts to their research methods. The text maintains academic writing standards throughout, and its structure enables students, early-career scholars and seasoned researchers to interact with the content. The philosophical and methodological discussions display heavy content, yet the information remains understandable.
Theoretical distinction segments should have more practical examples and applied references to assist readers who do not know design science paradigms.
Conclusion
Dyers, Mahomed, and van Greunen (2025) present their research writing, which supports design science research as the most effective research method for improving digital health services. The authors provide healthcare researchers with additional research methods through their approach, which uses artefacts as sources of knowledge.
The article needs detailed empirical cases and specific DSR application examples from actual situations and a more comprehensive investigation of digital health research ethical challenges to achieve greater impact, because it already contains deep conceptual material. The work delivers an important basis that helps researchers who want to use design science research to study complex healthcare research problems.
Reference:
Dyers, R. E., Mahomed, H., & van Greunen, D. (2025). Design science research in quality improvement: Embedding rigour in digital health innovation. African Journal of Primary Health Care & Family Medicine, 17(2), a5194. https://doi.org/10.4102/phcfm.v17i2.5194
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