Department of Ophthalmology, University of California, San Francisco, California, USA.
Ophthalmology Section, Surgical Service, San Francisco Veterans' Affairs Health Care System, San Francisco, California, USA.
Orbit. 2023 Aug;42(4):372-382. doi: 10.1080/01676830.2022.2104325. Epub 2022 Aug 3.
This study evaluates a web-based tool designed to augment telemedicine post-operative visits after periocular surgery.
Adult, English-speaking patients undergoing periocular surgery with telemedicine follow-up were studied prospectively in this interventional case series. Participants submitted visual acuity measurements and photographs via a web-based tool prior to routine telemedicine post-operative visits. An after-visit survey assessed patient perceptions. Surgeons rated photographs and live video for quality and blurriness; external raters also evaluated photographs. Images were analyzed for facial centration, resolution, and algorithmically detected blur. Complications were recorded and graded for severity and relation to telemedicine.
Seventy-nine patients were recruited. Surgeons requested an in-person assessment for six patients (7.6%) due to inadequate evaluation by telemedicine. Surgeons rated patient-provided photographs to be of higher quality than live video at the time of the post-operative visit (p < 0.001). Image blur and resolution had moderate and weak correlation with photograph quality, respectively. A photograph blur detection algorithm demonstrated sensitivity of 85.5% and specificity of 75.1%. One patient experienced a wound dehiscence with a possible relationship to inadequate evaluation during telemedicine follow-up. Patients rated the telemedicine experience and their comfort with the structure of the visit highly.
Augmented telemedicine follow-up after oculofacial plastic surgery is associated with high patient satisfaction, rare conversion to clinic evaluation, and few related post-operative complications. Automated detection of image resolution and blur may play a role in screening photographs for subsequent iterations of the web-based tool.
本研究评估了一种用于增强眼周手术后远程医疗随访的网络工具。
本前瞻性干预性病例系列研究纳入了接受眼周手术并进行远程医疗随访的成年英语患者。参与者通过网络工具在常规远程医疗随访前提交视力测量值和照片。随访后评估调查评估了患者的感知。外科医生对照片和实时视频的质量和模糊度进行评分;外部评估员还对照片进行评估。分析图像的面部居中、分辨率和算法检测到的模糊度。记录并分级评估与远程医疗相关的并发症及其严重程度。
共招募了 79 名患者。由于远程医疗评估不充分,有 6 名患者(7.6%)需要进行面对面评估。外科医生在术后随访时认为患者提供的照片质量高于实时视频(p<0.001)。图像模糊度和分辨率与照片质量分别具有中等和弱相关性。照片模糊检测算法的敏感性为 85.5%,特异性为 75.1%。1 名患者出现伤口裂开,可能与远程医疗随访期间评估不充分有关。患者对远程医疗体验及其对就诊结构的舒适度评价很高。
增强眼整形手术后的远程医疗随访与患者满意度高、很少需要转为门诊评估以及很少发生与术后相关的并发症有关。图像分辨率和模糊度的自动检测可能在网络工具的后续迭代中用于筛选照片。