Objective To analyze the key driving factors for patent management and scientific and technological achieve-ment transformation in medical institutions in the Yangtze River Delta region,and to provide a scientific basis for improving the efficiency of regional medical scientific and technological achievement transformation.Methods A convenience sampling method was used to conduct a questionnaire survey among 480 medical staff from tertiary hospitals in three provinces and one city(An-hui,Jiangsu,Shanghai,Zhejiang)of the Yangtze River Delta region from November 2024 to January 2025.SPSS 23.0 software was used for univariate analysis,multiple linear regression analysis,and regional difference comparisons.Results Univariate a-nalysis showed that region,age,education level,and professional title had statistically significant effects on patent output(P＜0.05).Multiple linear regression analysis further indicated that cognitive factors(score:19.01±8.73,β=0.230,P＜0.001),support factors(score:25.84±11.33,β=0.211,P=0.004),and incentive factors(score:25.93±10.85,β=0.136,P=0.036)were key drivers of patent output.Significant regional differences were observed,with Anhui Province scoring lower across all dimensions compared to Jiangsu,Zhejiang,and Shanghai(total score:74.18 vs.101.16-107.40,P＜0.001).Conclusion Enhancing medical staff's awareness of patents,improving institutional support and incentive mechanisms,and nar-rowing regional development gaps are core optimization pathways for promoting the transformation of medical scientific and techno-logical achievements in the Yangtze River Delta region.

Objective To analyze the key driving factors for patent management and scientific and technological achieve-ment transformation in medical institutions in the Yangtze River Delta region,and to provide a scientific basis for improving the efficiency of regional medical scientific and technological achievement transformation.Methods A convenience sampling method was used to conduct a questionnaire survey among 480 medical staff from tertiary hospitals in three provinces and one city(An-hui,Jiangsu,Shanghai,Zhejiang)of the Yangtze River Delta region from November 2024 to January 2025.SPSS 23.0 software was used for univariate analysis,multiple linear regression analysis,and regional difference comparisons.Results Univariate a-nalysis showed that region,age,education level,and professional title had statistically significant effects on patent output(P＜0.05).Multiple linear regression analysis further indicated that cognitive factors(score:19.01±8.73,β=0.230,P＜0.001),support factors(score:25.84±11.33,β=0.211,P=0.004),and incentive factors(score:25.93±10.85,β=0.136,P=0.036)were key drivers of patent output.Significant regional differences were observed,with Anhui Province scoring lower across all dimensions compared to Jiangsu,Zhejiang,and Shanghai(total score:74.18 vs.101.16-107.40,P＜0.001).Conclusion Enhancing medical staff's awareness of patents,improving institutional support and incentive mechanisms,and nar-rowing regional development gaps are core optimization pathways for promoting the transformation of medical scientific and techno-logical achievements in the Yangtze River Delta region.

Objective To investigate the strategies for building a high-level research talent team in a research-oriented hospital,based on the current situation of full-time research personnel and postdoctoral talent in a tertiary comprehensive hospital in Anhui Province.Methods Drawing on the dual-factor theory,a descriptive analysis was conducted to examine the construc-tion and practical outcomes of full-time research personnel and postdoctoral talent in the hospital.Issues were identified,and cor-responding recommendations were proposed.Results Over a three-year period,the growth rates of research achievements,in-cluding longitudinal projects,high-level publications,and patent authorizations,exceeded 100%.Disciplines with full-time re-search personnel showed significantly better research performance than those without.However,challenges were identified,inclu-ding a low proportion of full-time research personnel in the total staff(1.8%),imbalanced discipline development,and incom-plete external research support and internal incentive mechanisms.Conclusion The construction of full-time research personnel and postdoctoral talent plays a crucial role in enhancing the clinical research capacity and promoting high-quality development in hospitals.It is essential to continuously optimize incentive measures,coordinate health factors with motivating factors to achieve synergistic effects,and improve the level of talent development in research-oriented hospitals.

Objective To explore the CT classification of lacerating lung injury in blunt thoracic trauma and its clinical significance. Methods A total of 63 patients with lung lacerating injury were classified using CT features as simple type injury (complete visceral pleura, with no pneumothorax or he-mopneumothorax) and complex type injury (accompanied by visceral pleura rupture, pneumothorax or he-mopneumothorax). A retrospective analysis was done on CT manifestations and clinical data. Results Of 63 patients, 35 patients (56%) had simple type of lacerating lung injury with complete visceral pleu-ra, most of which were focal pulmonary pseudocyst lesions present in the edge of lungs and could be dis-persed quickly after conservative therapy without complications. Mean hospital stay was 16 days. Of pa-tients with complex type of lacerating lung injury, 28 patients (44.4%) were accompanied by visceral pleura rupture with larger extent of pulmonary injury, 20 (71%) by lung eontnsion, 15 (54%) by ate-lectasis or pulmonary atelectasis and three (11%) by local pulmonary infection. Thoracic puncture or closed drainage was performed in 19 patients (69%) and thoracotomy in one (4%), with mean hospital stay of 58 days. Conclusions According to CT manifestations on whether there exists visceral pleura rupture or not, the lacerating lung injury is classified as simple type injury and complex type injury. CT classification of lacerating lung injury may be helpful in selecting clinical treatment protocols and predic-ting early prognosis.