Advancements in health informatics for monitoring perioperative patient data

Khaled B. Hawsawi, Ahmad M. Faqihi, Naif H. Albalaji, Ali M. Alsultan, Sami H. Alharbi, Farrag M. Almeglad, Fahad A. Alhajri
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Abstract

Advancements in health informatics are revolutionizing perioperative care by enhancing patient monitoring, improving clinical decision-making, and promoting patient safety. The integration of electronic health records (EHR) facilitates seamless information flow across all perioperative stages, ensuring up-to-date patient data is accessible to the entire healthcare team. This accessibility reduces errors, improves coordination, and enhances overall patient outcomes. EHR systems also support standardized documentation, reducing variability in record-keeping and ensuring comprehensive patient information is consistently captured. Real-time data analytics and predictive modeling are powerful tools in perioperative settings, enabling clinicians to anticipate and manage potential complications proactively. By analyzing vast datasets, predictive models identify patterns and risk factors associated with adverse outcomes, allowing for targeted interventions and personalized care plans. Real-time analytics provide continuous monitoring of patient status during surgery, offering immediate feedback and enabling prompt adjustments to ensure patient stability. Wearable devices and remote monitoring systems further augment real-time data analytics by continuously tracking physiological parameters throughout the surgical process and into the postoperative period. This continuous data stream allows for ongoing assessment of patient status and early detection of complications, enhancing patient safety and outcomes. Health informatics solutions, including automated alerts and decision support tools, minimize human error and ensure adherence to clinical guidelines. Automated reminders for critical actions, such as timely antibiotic administration, significantly reduce the incidence of surgical site infections. Decision support tools provide real-time, evidence-based recommendations at the point of care, supporting clinicians in making informed decisions and improving patient outcomes. Additionally, health informatics facilitates continuous quality improvement by enabling the collection and analysis of performance data, informing targeted interventions and process improvements. Overall, advancements in health informatics are transforming perioperative care, offering numerous benefits in terms of efficiency, accuracy, and patient safety, ultimately leading to better patient outcomes and higher quality of care. Continued innovation in this field will be essential for maintaining and improving the standards of perioperative care.
医疗信息学在监测围手术期患者数据方面的进步
医疗信息学的进步正在通过加强患者监护、改善临床决策和促进患者安全来彻底改变围手术期护理。电子病历(EHR)的整合促进了围手术期各阶段的无缝信息流,确保整个医疗团队都能获得最新的患者数据。这种可访问性减少了错误,改善了协调,并提高了患者的整体治疗效果。电子病历系统还支持标准化文档,减少了记录保存中的差异,确保始终如一地获取全面的患者信息。实时数据分析和预测建模是围手术期环境中的强大工具,使临床医生能够主动预测和管理潜在的并发症。通过分析庞大的数据集,预测模型可以识别与不良后果相关的模式和风险因素,从而进行有针对性的干预和制定个性化护理计划。实时分析可在手术过程中对患者状态进行持续监控,提供即时反馈并进行及时调整,以确保患者病情稳定。可穿戴设备和远程监控系统通过在整个手术过程和术后持续跟踪生理参数,进一步增强了实时数据分析能力。这种连续的数据流可持续评估患者状态并及早发现并发症,从而提高患者的安全性和治疗效果。健康信息解决方案,包括自动警报和决策支持工具,可最大限度地减少人为错误,确保遵守临床指南。自动提醒关键操作,如及时使用抗生素,可显著降低手术部位感染的发生率。决策支持工具可在护理点提供实时、循证的建议,支持临床医生做出明智的决策,改善患者的治疗效果。此外,医疗信息学还能收集和分析绩效数据,为有针对性的干预措施和流程改进提供信息,从而促进持续的质量改进。总之,医疗信息学的进步正在改变围手术期护理,在效率、准确性和患者安全方面带来诸多益处,最终改善患者预后,提高护理质量。该领域的持续创新对于保持和提高围手术期护理标准至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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