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.