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Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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使用人工智能驱动的远程咨询优化白内障后患者的旅程:前性案例研究

Joukje C Wanten1, Noël J C Bauer1, Mohita Chowdhury2

  • 1University Eye Clinic Maastricht, Maastricht University Medical Centre+, P Debyelaan 25, Maastricht, 6229HX, The Netherlands, 31 0433871594.

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一个人工智能系统 (Dora-NL1) 在白内障手术后安全地选患者,在识别需要的后续检查方面显示出高准确性. 虽然它对常规病例有效,但不能完全取代面对面的眼科检查.

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基于算法的选.数字健康数字健康电子卫生干预措施是电子卫生干预措施.手术后的随访情况预期临床研究 预期临床研究远程监控患者的患者监控.远程医疗远程医疗

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科学领域:

  • 眼科医生 眼科 眼科
  • 数字健康数字健康
  • 人工智能的人工智能

背景情况:

  • 眼科护理需求不断增长,需要创新的解决方案.
  • 数字健康技术可以优化患者体积管理.
  • 白内障手术的常规性质适合技术整合后续护理.

研究的目的:

  • 评估多拉-NL1人工智能系统在白内障手术后的临床安全性和有效性.
  • 评估Dora-NL1识别需要进一步医疗评估的患者的能力.
  • 将人工智能驱动的随访与荷兰的标准护理协议进行比较.

主要方法:

  • 在马斯特里赫特大学眼科诊所进行的前性单中心研究.
  • 包括105名接受无并发性白内障手术的成年患者.
  • 多拉-NL1在手术后1周和4周打电话,与标准护理和盲目的临床医生评估相比.

主要成果:

  • 在症状评估和 (83-88%) 在护理决策方面,Dora-NL1显示出高准确度 (89-99%).
  • 第1周:100%的灵敏度,42%的特异性与临床医生的呼叫相比;没有错过的担忧.
  • 第4周:4.1%需要意外治疗的患者错过了治疗,包括无症状并发症.

结论:

  • Dora-NL1是一种安全有效的工具,用于在白内障手术后进行自动化术后查.
  • 它是临床医生领导的常规病例电话咨询的安全替代方案.
  • 人工智能系统补充了,但不能完全取代,面对面的眼科检查.