Introduction
The authors of “Ensuring data integrity of healthcare information in the era of digital health” propose that blockchain is the preferred data integrity approach for normal adaption in Saudi Arabia and throughout the world. The specific scholarly article selected for the summary is “Ensuring data integrity of healthcare information in the era of digital health.” The study was conducted by the authors M. Zarour, M. Alenezi, M. Ansari, A. Pandey, M. Ahmad, A. Agrawal, R. Kumar, and R. Ahmad Khan. The writing was issued in 2021 and originally published in the academic journal “Healthcare Technology Letters.”
Analysis
In the modern healthcare industry, data integrity can be generally considered a chronic issue. It guarantees that the data is accurate and has not been tampered with in any form. Incomplete information might pose serious health risks for individuals and burden practitioners substantially, leading to fraud, misbehavior, insufficient treatment, and information theft (Zarour et al., 2021). This type of dangerous circumstance makes handling medical data extremely challenging. The chosen research aims to characterize the chart of data integrity in medicine using multiple attack facts from across the globe and Saudi Arabia and define the singularity in Saudi Arabia (Zarour et al., 2021). The results of the ranking evaluation employing the analytical hierarchy method technique suggest that Saudi Arabian academics have a direction of promoting healthcare history or data protection in Arabic medicine by implementing blockchain (Zarour et al., 2021). A systematic review using descriptive study and rating assessment is provided to meet the desired comprehensive literature analysis aim.
The writers extensively explore the issues provided by data integrity in the medical industry to respond to the challenges and subsequent evolution. Regarding the limitations of the article, it is feasible to emphasize that the number of studies and datasets accessible to writers are restricted, and their findings are not disclosed (Zarour et al., 2021). Despite the fact that the scholars used many resources, there are datasets that were not added to the assessment report.
The rapid development and incorporation of new technology into society have the potential to produce both opportunities and obstacles. By using attack statistics data, the identified systematic literature review provides a comprehension of the present scenario for medical data integrity. Furthermore, past studies of information integrity techniques have been used to clarify the healthcare industry’s workplace culture to control data integrity (Zarour et al., 2021). The findings of this study clearly suggest that the healthcare industry requires an innovative and more sophisticated data integrity strategy (Zarour et al., 2021). The first section of this paper demonstrates the importance of data integrity issues in healthcare companies. In the subsequent portion of the study, potential researchers embrace and stimulate data integrity investigations. Using choice assessment, this systematic review might be beneficial to viewers. The academics use the advantages of the analytical hierarchy process to rank the relevance of previously adopted data integrity measures (Zarour et al., 2021). This method will pave the way for future academics interested in data integrity methodologies and procedures. The problems and repercussions were described using statistical procedures in this research.
Conclusion
To summarize, a systematic review employing descriptive research and rating evaluation is offered to accomplish the required complete literature analysis goal. The findings of the ranking evaluation using the analytical hierarchy method methodology point Saudi Arabian academics in the direction of using blockchain to promote healthcare history or data preservation in Arabic medicine. To respond to the problems and subsequent evolution, the authors delve deeply into the concerns raised by data integrity in the medical profession. In terms of the article’s constraints, it is worth noting that the quantity of research studies and datasets available to authors is limited, and their conclusions are not released.
Reference
Zarour, M., Alenezi, M., Ansari, M., Pandey, A. K., Ahmad, M., Agrawal, A., Kumar, R., & Khan, R. A. (2021). Ensuring data integrity of healthcare information in the era of digital health. Healthcare Technology Letters, 8(3), 66–77.