Data Analytics, Digital Transformation, and Cybersecurity Perspectives in Healthcare

Data analytics personalize treatments and improve outcomes in a fast-changing digital world. The infusion of digital technologies into healthcare processes and workflows offers enhancements in areas such as flexibility, scalability, reliability, agility, cost-effectiveness, and the overall quality of healthcare services and operations. However, the heightened dependence on these digital advancements underscores the imperative for robust cybersecurity measures. Safeguarding patient data, healthcare systems, and infrastructure from potential cyber threats becomes paramount in ensuring the integrity and security of the healthcare ecosystem. This study addresses data security concerns in the health organization, a digital health system. This study aims to explore the connections between interdependence, uncertainty, knowledge, and security in the digital transformation of healthcare organizations. The data is collected from healthcare organization managers' responses based on a questionnaire. The gathered data is used to test six hypotheses. A comprehensive questionnaire with Likert-scale responses serves as our research instrument. Furthermore, SmartPLS is used for statistical analysis and validating structural and measurement frameworks. Path coefficients and boot-strap confidence intervals support the hypothesis that digital uncertainty understanding improves interdependence, cybersecurity, and digital transformation. The findings indicate a strong positive relation between the healthcare organization's understanding of interdependence, uncertainty, and cybersecurity knowledge and its expenditures in cybersecurity solutions. This analysis shows that hypotheses H1, H3, and H4 significantly impact digital transformation security layers, with the greatest values (0.542), offering policymakers important information for improving digital resilience.