Frimley Health NHS Foundation Trust has found that 100% of IV leakage incidents were prevented by a proprietary patient monitoring system from ivWatch, which could potentially save patients the pain or discomfort of adverse IV events.The initial two-week phase of the study, which was published in the British Journal of Nursing, found that continuous site monitoring using the ivWatch system was able to detect infiltration and extravasation events earlier than relying on intermittent visual observation alone.

弗里姆利健康NHS基金会信托基金会发现，ivWatch专有的患者监测系统可以预防100%的静脉渗漏事件，这可能会挽救患者静脉不良事件的痛苦或不适。该研究的最初两周阶段发表在《英国护理杂志》上，发现使用ivWatch系统进行连续现场监测能够比单独依靠间歇性视觉观察更早地检测浸润和外渗事件。

Additionally, detection occurred in 100 percent of IV infiltration events with the system, before a clinician could visually detect the event.The study was extended to a second phase carried out in the IVAS (IV therapy and vascular access) infusion unit between August 2023 and January 2024. In total, 2,254 IVs were monitored using ivWatch’s SmartTouch sensor.

此外，在临床医生可以目视检测到事件之前，使用该系统检测到100%的IV浸润事件。该研究扩展到2023年8月至2024年1月期间在IVAS（IV治疗和血管通路）输注单元进行的第二阶段。使用ivWatch的SmartTouch传感器总共监测了2254个IVs。

Over the 3,507 hours of monitoring, the device issued 122 red Check IV notifications, demonstrating the tech’s ability to identify and prevent injuries in 5.4 percent of infusion activity.Early identification of IV leakage means patients suffer little, if any, pain or discomfort and no or minimal extravasation injuries.When applied to the skin near the site of the IV, the ivWatch sensor and monitor carry out over 18,000 checks per hour.

在3507个小时的监测中，该设备发出了122条红色检查IV通知，证明该技术能够识别和预防5.4%的输液活动中的伤害。早期发现静脉渗漏意味着患者几乎没有（如果有的话）疼痛或不适，也没有或很少有外渗损伤。当应用于静脉注射部位附近的皮肤时，ivWatch传感器和监视器每小时进行18000多次检查。

If it determines any signs of any leakage of fluid outside of the vein it notifies healthcare workers in real-time, to help reduce the severity of adverse IV events.The ivWatch technology uses a predictive algorithm and visible and near-infrared light to detect changes in the optical properties of the tissue around an IV site.Study author Andrew Barton, NHS nurse consultant, IV therapy and vascular access at Frimley Health, and National Infusion and Vascular Access Society (NIVAS.

如果它确定静脉外有任何液体泄漏的迹象，它会实时通知医护人员，以帮助降低静脉不良事件的严重程度。ivWatch技术使用预测算法和可见光和近红外光来检测IV部位周围组织光学特性的变化。研究作者安德鲁·巴顿（AndrewBarton），NHS护士顾问，弗里姆利健康（Frimley Health）的静脉治疗和血管通路，以及国家输液和血管通路协会（NIVAS）。