Strengthening Patient Safety Protocols Through Data Integrity and Adverse Event Management

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@article{1710570,
      author = {Chisom Ezeanochie, Opeoluwa Oluwanifemi Ajayi, Christiana Adeyemi},
      title = {Strengthening Patient Safety Protocols Through Data Integrity and Adverse Event Management},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {8},
      pages = {390-411},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710570.pdf},
      abstract = {Patient safety remains a cornerstone of effective healthcare delivery, yet it continues to face significant challenges due to lapses in data integrity and inadequate adverse event management systems. Ensuring accurate, complete, and reliable health data is critical to minimizing medical errors, optimizing clinical decision-making, and safeguarding patient outcomes. This study explores how strengthening patient safety protocols through robust data integrity measures and comprehensive adverse event management frameworks can transform healthcare systems. The paper emphasizes the role of advanced health information technologies, including electronic health records (EHRs), predictive analytics, and artificial intelligence, in enhancing data accuracy, preventing duplication, and ensuring real-time monitoring of patient conditions. By integrating these tools with standardized reporting systems, healthcare organizations can better detect, document, and respond to adverse events such as medication errors, hospital-acquired infections, and surgical complications. The research also highlights the importance of establishing a culture of transparency, continuous learning, and accountability in healthcare institutions, where frontline staff are encouraged to report safety concerns without fear of blame. Furthermore, the paper underscores the need for regulatory compliance with global patient safety frameworks, data protection laws, and interoperability standards to ensure consistency across diverse healthcare settings. Case examples demonstrate how improved data governance and adverse event surveillance can reduce preventable harm, shorten hospital stays, and lower healthcare costs. The findings suggest that a multi-pronged approach combining technology adoption, staff training, policy development, and stakeholder collaboration is essential to strengthening patient safety. Ultimately, advancing data integrity and adverse event management will not only protect patients but also build public trust, support sustainable healthcare delivery, and align with global health priorities such as the World Health Organization?s Patient Safety Action Plan. This work contributes to ongoing discourse on healthcare quality improvement by presenting an integrated framework for safeguarding patients through data-driven safety protocols.},
      keywords = {Patient Safety, Data Integrity, Adverse Event Management, Electronic Health Records, Predictive Analytics, Healthcare Quality, Patient Outcomes, Medical Errors, Data Governance, Risk Management},
      month = {February},
  }