Improving the Quality of Health Data in Electronic Medical Records and its Impact on Clinical Performance Indicators - An Empirical Study in a Specialized Hospital in Saudi Arabia
تحسين جودة البيانات الصحية في السجلات الطبية الإلكترونية وأثرها على مؤشرات الأداء السريري - دراسة تطبيقية في مستشفى متخصص في المملكة العربية السعودية
DOI:
https://doi.org/10.61856/zqykjh28Keywords:
Quality of health data Electronic Health Records Performance IndicatorsAbstract
This study aims to explore the impact of implementing the Value-Based Healthcare (VBHC) model on the adoption and development of health technologies in private healthcare facilities in the Kingdom of Saudi Arabia. The study employed a descriptive-analytical approach, with data collected through an online questionnaire distributed to a sample of private healthcare professionals. The results showed a statistically significant positive impact of implementing the VBHC model on the adoption of health technologies. The study also revealed that, despite a high level of awareness of the model, the level of institutional readiness (including administrative support, organizational culture, and resources) had the strongest influence on technology adoption. The study recommended bridging the gap between theoretical awareness and practical readiness by providing the necessary administrative support and resources, developing clear incentive models, and promoting a culture of cooperation and transparency to stimulate the shift towards more sustainable and effective patient-centered healthcare
References
AHIMA. (2024). The value of using existing data to determine performance. (https://www.ahima.org/)
Al-Faris, E. A., & Al-Dossary, M. A. (2023). Challenges and opportunities of data governance in public health in Saudi Arabia. Saudi Medical Journal, 44(5), 345–352. (https://smj.org.sa/)
Al-Harbi, A. A., & Al-Tuwaijri, M. A. (2022). The impact of electronic health record system use on clinical performance indicators: A study of resident physicians. Academic Medicine, 97(3), 405–411. (https://doi.org/10.1097/ACM.0000000000004472)
Al-Jahdali, H. H., & Al-Ghamdi, M. A. (2021). The effect of electronic health record adoption on data completeness in Saudi hospitals. Health Informatics Journal, 27(4), 1460–1472. [https://doi.org/10.1177/14604582211050765](https://doi.org/10.1177/14604582211050765)
Al-Shammary, S. A., & Al-Mutairi, A. A. (2020). The role of data quality in enhancing healthcare services in Saudi Arabia: A systematic review. Journal of Health Informatics in Developing Countries, 14(2), 1–15. (https://www.jhidc.org/)
Al-Tuwaijri, M. A., & Al-Harbi, A. A. (2021). Readiness of Saudi hospitals for digital transformation in healthcare: A cross-sectional study. International Journal of Health Information Management Research, 5(1), 1–10.
Astera Software. (n.d.). Data quality management in healthcare: Ensuring accuracy for patient health. (https://www.astera.com/type/blog/data-quality-in-healthcare/)
Centers for Disease Control and Prevention (CDC). (2023). Data quality framework for public health information systems. (https://www.cdc.gov/)
Donabedian, A. (1988). The quality of care: How can it be assessed? JAMA, 260(12), 1743–1748. (https://doi.org/10.1001/jama.1988.03410120089033)
HealthIT.gov. (n.d.). Improving electronic health record data quality.(https://www.healthit.gov/)
HL7 International. (n.d.). HL7 FHIR (Fast Healthcare Interoperability Resources) standard. (https://www.hl7.org/fhir/)
Ideascale. (2024). Data analytics in healthcare: Measuring performance and compliance.(https://ideascale.com/)
International Organization for Standardization (ISO). (2018). ISO 27799:2018 health informatics—Security management in health using ISO/IEC 27001.(https://www.iso.org/standard/62777.html)
Jha, A. K., Doolan, D., Grandt, D., Scott, T., & Bates, D. W. (2008). The use of health information technology in seven nations. International Journal of Medical Informatics, 77(12), 857–864.(https://doi.org/10.1016/j.ijmedinf.2008.06.007)
MEDOC. (2024). EHR vs. EMR: Enhancing care quality through complete and accurate information. (https://www.medoc.com/)
MRCT Center. (2024). Developing and implementing data quality assurance processes in clinical research. (https://mrctcenter.org/)
Naseej. (2020). Digital health transformation and data quality in the Saudi context. (https://www.naseej.com/)
Oracle. (2025). Key features of EHR systems and their impact on patient care. (https://www.oracle.com/health/)
PMC. (2024). Simplifying best practices for assessing EHR data quality. (https://www.ncbi.nlm.nih.gov/pmc/)
QScience. (2024). Investment in EHRs and benefits in healthcare delivery in Oman. (https://www.qscience.com/)
ResearchGate. (2025). The role of medical records in achieving quality healthcare services. (https://www.researchgate.net/)
Shaip. (2025). The role of EHR in healthcare: Benefits and challenges. (https://www.shaip.com/)
Weiskopf, N. G., & Weng, C. (2013). Methods for evaluating and improving the quality of electronic health record data for research. Journal of the American Medical Informatics Association, 20(6), 1044–1051. (https://doi.org/10.1136/amiajnl-2013-001939)
Downloads
Published
Issue
Section
License
Copyright (c) 2026 International Innovations Journal of Applied Science
This work is licensed under a Creative Commons Attribution 4.0 International License.
