分析深圳市超声医学质量控制现状及各行政区差异，制定并落实相关改进措施，实现质量持续提升。

收集2024年深圳市（10个行政区）76家二级及以上设有超声科的医疗机构在质量控制网络平台上报的超声相关指标数据。包括医疗机构超声科配置数据：诊室数、仪器数、超声医师数、超声医师职称与学位、平均每万人次患者对应诊室数、平均每万人次患者对应超声医师数、超声医师数与超声仪器数比值以及《超声医学专业质量管理控制指标专家共识（2022年版）》中的12项超声质量控制指标，对上述数据进行统计分析。

二级及以上医疗机构超声科配置情况：（1）深圳市二级及以上医疗机构总诊室数为1603间，医疗机构平均拥有诊室数为21.10间；（2）总仪器数为1703台，医疗机构平均拥有仪器数为22.41台；（3）超声医师总数为1796名，医疗机构平均拥有超声医师数为23.63名；（4）超声医师职称分布情况：正高级、副高级、中级及以下职称医师占比分别为8.24%、20.10%、71.66%；（5）超声医师学位分布情况：博士、硕士、学士占比均高于全国对应数据（4.12% vs 2.13%、30.73% vs 16.47%、62.86% vs 54.37%）；（6）平均每万人次患者拥有诊室数高于全国平均每万人次患者拥有诊室数（0.93间 vs 0.83间）；（7）平均每万人次患者拥有超声医师数低于全国平均每万人次患者拥有超声医师数（1.04名 vs 1.18名）；（8）超声医师数与超声诊断仪器数比值低于全国均值（1.05 vs 1.27）。超声医学专业质量管理控制指标：（1）超声医师日均工作量均值高于全国均值水平（38.49人次 vs 29.91人次），其中宝安区最高（39.51人次），大鹏新区最低（10.57人次），4个行政区低于全市平均水平；（2）超声仪器质检率均值稍高于全国均值水平（97.80% vs 97.71%），其中6个行政区均达100%，2个行政区低于全市平均水平；（3）住院超声检查48 h内完成率均值高于全国均值水平（96.90% vs 94.58%），其中大鹏新区达100%，坪山区最低（86.80%），3个行政区低于全市平均水平；（4）超声危急值10 min内通报完成率均值高于全国均值水平（99.53% vs 98.10%），其中6个行政区均达100%，2个行政区低于全市平均水平；（5）超声报告书写合格率均值低于全国平均水平（98.59% vs 99.19%），其中龙岗区最低（97.76%），5个行政区低于全市平均水平；（6）乳腺病变超声报告进行乳腺影像报告和数据系统分类率均值高于全国均值水平（97.19% vs 81.37%），其中福田区最低（94.76%），2个行政区低于全市平均水平；（7）超声报告阳性率均值低于全国均值水平（65.05% vs 74.09%），其中大鹏新区最高（83.07%），福田区最低（59.96%），4个行政区低于全市平均水平；（8）超声筛查中胎儿重大致死性畸形检出率均值高于全国均值水平（0.12% vs 0.06%），其中南山区最高（0.55%），7个行政区低于全市平均水平；（9）超声诊断符合率均值高于全国均值水平（90.32% vs 87.15%），其中宝安区最低（76.00%），2个行政区低于全市平均水平；（10）乳腺占位超声诊断准确率均值高于全国均值水平（87.25% vs 79.98%），其中大鹏新区最低（60.00%），3个行政区低于全市平均水平；（11）颈动脉狭窄（≥50%）超声诊断符合率均值高于全国均值水平（87.28% vs 84.84%），其中福田区最低（84.10%），4个行政区低于全市平均水平；（12）超声介入相关主要并发症发生率均值低于全国均值水平（0.39% vs 0.63%），其中南山区最高（0.71%），4个行政区高于全市平均水平。根据上述数据进行分析，组织针对性质量控制培训，开展现场质量控制评价及常态化追踪，实现质量持续改进。

通过数据分析发现深圳市超声医学质量控制现状与差异，制定并落实相关改进措施，实现超声专业指标常态化监测、分析、反馈与质量持续改进。

To analyze the current state of ultrasound medical quality control in Shenzhen and its administrative regions, identify interregional disparities, and formulate and implement targeted improvement measures to achieve continuous quality improvement.

Ultrasound-related data from 76 secondary and tertiary medical institutions in Shenzhen were collected via the municipal quality control network platform for the year 2024. The dataset encompassed infrastructure metrics (number of consultation rooms, ultrasound machines, and ultrasound physicians), physician qualifications (professional titles and academic degrees), and workload-adjusted indicators (consultation rooms and ultrasound physicians per 10 000 patients, and physician-to-machine ratio). In addition, 12 ultrasound quality control indicators, as stipulated in the "Expert Consensus on Quality Control Indicators of Ultrasound Medical (2022 Edition)", were extracted and statistically analyzed.

For institutional configuration, the 76 institutions collectively reported 1603 consultation rooms (mean, 21.10 per institution), 1703 ultrasound machines (mean, 22.41), and 1796 ultrasound physicians (mean, 23.63). The title distribution was 8.24% senior, 20.10% intermediate, and 71.66% junior. Academic qualifications were consistently higher than national benchmarks: doctorate (4.12% vs 2.13%), master's (30.73% vs 16.47%), and bachelor's (62.86% vs 54.37%). The citywide average number of consultation rooms per 10000 patients is higher than the national average (0.93 vs 0.83), whereas the average number of ultrasound physicians per 10000 patients (1.04 vs 1.18) and the physician-to-machine ratio (1.05 vs 1.27) both fell below national levels. Regarding quality control indicators, average daily physician workload surpassed the national average (38.49 examinations vs 29.91 examinations), ranging from 39.51 (Bao'an District, highest) to 10.57 (Dapeng New District, lowest); four administrative districts fell below the citywide mean. Ultrasound equipment inspection pass rate was marginally above the national average (97.80% vs 97.71%), with all six districts achieving 100% and two lower than the city average. The 48-hour post-admission examination completion rate exceeded the national figure (96.90% vs 94.58%), with Dapeng at 100%, Pingshan at the lowest (86.80%); three districts lagged behind the city average. The 10-minute critical value notification rate outperformed the national average (99.53% vs 98.10%), with all six districts at 100% and two below the city average. Ultrasound report writing quality rate fell short of the national benchmark (98.59% vs 99.19%); Longgang District recorded the lowest (97.76%), and five districts were below the city average. Breast imaging reporting and data system classification reporting rate for breast lesions was substantially higher than the national average (97.19% vs 81.37%), with Futian District being the lowest (94.76%) and two districts below the city average. Positive report rate was lower than the national average (65.05% vs 74.09%), ranging from 83.07% (Dapeng, highest) to 59.96% (Futian, lowest); four districts were below the city average. Detection rate of major lethal fetal malformations exceeded the national rate (0.12% vs 0.06%), with Nanshan District being the highest (0.55%) and seven districts below the city average. Ultrasound diagnostic concordance rate was above the national average (90.32% vs 87.15%), with Bao'an District being the lowest (76.00%) and two districts below the city average. Diagnostic accuracy for breast lesions surpassed the national rate (87.25% vs 79.98%), with Dapeng being the lowest (60.00%) and three districts below the city average. Accuracy for carotid artery stenosis (≥50%) slightly exceeded the national figure (87.28% vs 84.84%), with Futian being the lowest (84.10%) and four districts below the city average. Major complication rate for ultrasound-guided interventions was lower than the national level (0.39% vs 0.63%), with Nanshan having the highest rate (0.71%) and four districts being higher than the city average. Based on these findings, targeted quality control training sessions were organized, followed by on-site evaluations and regular tracking to drive continuous quality improvement.

Systematic data analysis effectively identified the baseline status and regional variations in ultrasound quality control across Shenzhen. The subsequent formulation and implementation of targeted measures enabled routine monitoring, in-depth analysis, timely feedback, and sustained quality improvement across all ultrasound-related performance indicators.