Information Systems in Nephrology: A Synthesized narrative review
DOI:
https://doi.org/10.70135/seejph.vi.4178Abstract
Background
The implementation of information systems in nephrology has the potential to significantly enhance patient care, streamline clinical workflows, and improve outcomes for patients with kidney diseases. However, several challenges inhibit the optimal use of these technologies. Objective: This paper aims to identify and discuss the key challenges related to the integration and utilisation of information systems in nephrology, focusing on data integration, resistance to change, and data quality.
Methods
We performed an in-depth literature review and case studies of the application of EHRs, CDSS, and other electronic tools in nephrology. Key issues were identified and categorized into three main areas: data integration, change resistance among healthcare professionals, and data quality management.
Results
Data Integration: The distribution of patient information across multiple systems renders nephrologists incapable of accessing complete data on patients, which results in a delay and confusion in treating the patient. Interoperability between different systems not only acts as a barrier to clinical decision-making but also increases administrative burdens.
Resistance to Change: Changing from old to new technology is a challenge culturally and operationally. Most healthcare professionals’ express scepticism about the new systems due to fear of job loss, dependence on their expertise, and concerns over data security.
Data Quality: Incomplete or inaccurate data can compromise patient safety and the effectiveness of treatment, which calls for robust governance protocols to ensure data integrity. Advanced technologies, such as AI, can be implemented to identify discrepancies in real time.
Conclusion
Overcoming these challenges will help tap into the true power of information systems in nephrology. This will be possible if health institutions prioritize data integration, promote change management, and ensure data quality, which in turn enhances care delivery and outcomes for patients with kidney diseases. Training and technological investment in the future will greatly overcome these barriers
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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.