OBJECTIVE To explore the transformation of the dispensing and drug pickup process in traditional Chinese medicine pharmacy （TCM Pharmacy） in our hospital based on data-intelligence-driven， aiming to improve pharmacists’ work efficiency and patients’ drug pickup experience. METHODS Value stream mapping and journey mapping were used to systematically identify non-value-added links in pharmacists’ dispensing process and key pain points in patients’ drug pickup under the traditional process. An intelligent dispensing and drug pickup system for the TCM Pharmacy was developed based on the C# and Android television platforms， and a machine-learning model was adopted to predict patients’ drug pickup waiting time. A comprehensive evaluation was performed from three perspectives： system performance， prediction accuracy， and satisfaction of pharmacists and patients. RESULTS The system successfully streamlined non-value-added links such as “waiting for writing on the board” and “searching for drugs”， and realized multimodal dynamic prompts of dispensing status through auditory （number calling） and visual （television terminal） channels. The constructed model for predicting drug pickup waiting time exhibited good fitting degree and generalization ability （mean absolute error＝4.28 min， R 2 ＝0.882）. The comprehensive satisfaction scores of pharmacists and patients in the traditional mode were significantly increased from （70.99±1.74） and （73.58±1.98） to （90.02±1.30） and （88.61±2.08） in the new system， respectively （ P ＜0.01）. CONCLUSIONS The transformation of the intelligent drug dispensing and pickup system for TCM pharmacy based on data-intelligence-driven effectively improves the efficiency of pharmacists’ dispensing work， realizes process transparency and waiting time predictability， and significantly enhances patients’ drug pickup experience.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.

Objective To investigate the research competency among undergraduate interns of rehabilitation therapy.Methods In July,2024,a total of 81 undergraduate rehabilitation therapy interns from Department of Rehabilitation Medicine,Guangdong Provincial People's Hospital were self-rated the research competency,using research com-petency and activities,level 1 of World Health Organization rehabilitation competency framework.Semi-struc-tured interviews were conducted to investigate the willingness and difficulties to participate in research.Results The self-rated competencies were the lowest in behavior of C2.3 Assists in assessing rehabilitation service user needs and priorities for research,and Activity of A2 Disseminating evidence.For interviews,72 students would participate in researches,primarily motivated by career advancement and postgraduate admission competition.The main difficulties included insufficient faculty mentorship(n=48),limitation in knowledge(n=43)and diffi-culties in formulating scientific questions(n=43).Conclusion Most rehabilitation therapy undergraduates would like to participate in researches,but are suboptimal in re-search competency due to personal and environmental constraints.

Objective To explore the injury types,associated injuries,and correlations of the lateral meniscus posterior root(LMPR),and to improve the comprehensive understanding of LMPR and its associated injuries.Methods The patients with LMPR who underwent knee MRI examination were retrospectively selected.A total of 223 patients with LMPR injury were classified into 4 types.The integ-rity of the meniscofemoral ligament and the grading of the cartilage injuries in the lateral tibiofemoral compartment were recorded.The relationship between the types of LMPR injury and the lateral meniscus tear locations,as well as lateral meniscus extrusion were analyzed.The relationship between the integrity of the meniscofemoral ligament and lateral meniscus extrusion was analyzed.The correlation between the time to clinical presentation after injury and the grading of the cartilage injuries was analyzed in patients with anterior cruciate ligament(ACL)ruptures.Results The incidence of LMPR injury was 1.02％,with males affected 2.19 times more frequently than females.Among patients with ACL ruptures,the incidence was 13.17％.Both type Ⅰ and type Ⅱ LMPR inju-ries predominantly involved only the posterior root,while type Ⅲ injuries mainly affected the posterior root extending to the posterior horn and body.The incidence of the lateral meniscus extrusion was higher in type Ⅲ LMPR injury than in type Ⅱ.When the menis-cofemoral ligament was not intact,the incidence of the lateral meniscus extrusion increased.In patients with ACL ruptures,a longer time to clinical presentation after injury was associated with more severe cartilage injuries grading in the lateral tibiofemoral compart-ment.Conclusion Males are more susceptible to LMPR injuries than females.The classification of LMPR injuries is correlated with the location of the lateral meniscus tears and the incidence of the lateral meniscus extrusion.The integrity of the meniscofemoral lig-ament is related to the incidence of the lateral meniscus extrusion.The time to clinical presentation after injury is related to the sever-ity of cartilage injury in ACL rupture patients.

Objective To explore how digital and intelligent technologies can optimize the storage allocation and picking paths for Traditional Chinese medicine decoction pieces.Methods Based on prescription information and medicine data from the hospital information system(HIS),this study employs MATLAB programming to use an integer linear programming(ILP)algorithm for optimizing the storage allocation of Traditional Chinese medicine decoction pieces.Additionally,a greedy algorithm is applied to optimize the picking paths to reduce the picking distance for pharmacists.Finally,an independent samples paired t-test is used to analyze the experimental data to verify the significance of the optimizations.Results A total of 7 734 prescriptions were collected from the HIS.The results of storage optimization showed that the total distance before optimization was(87.58±0.29)m,which was reduced to(85.35±0.28)m after optimization(P﹤0.000 1).The picking path optimization results showed that the picking path was(85.35±0.28)m before optimization and(40.06±0.11)m after optimization(P﹤0.000 1).The results of the independent samples paired t-test indicate that the path was significantly reduced after both storage and picking path optimizations,with statistical significance.Conclusion By using digital and intelligent methods,informatics pharmacists can effectively shorten the picking paths for Traditional Chinese medicine decoction pieces,improve dispensing efficiency,and reduce patient waiting times.

Objective This study aims to investigate the work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County and analyze the influencing factors,providing a reference for formulating scientific work processes and systems and improving nursing quality.Methods A convenience sampling was conducted to select 179 clinical nurses from a tertiary hos-pital in Xingguo County from March to April 2025.A self-designed general information questionnaire,a clinical nursing staff work fatigue risk assessment questionnaire,and the nurse work stressor scale were used for the investigation.Univariate and multiple linear regression analyses were conducted to identify the influencing factors of work fatigue risks.Results A total of 186 ques-tionnaires were distributed,with 7 excluded as invalid and 179 valid responses(96.24％).The work fatigue risk assessment score of the 179 clinical nurses was(84.39±10.26),indicating a relatively high level of fatigue.There were significant differ-ences in work fatigue risk scores across genders,weekly working hours,years of work experience,contract types,and work stress levels(P＜0.05).Multiple linear regression analysis showed that gender(B=0.624,95％CI=0.194～1.054),weekly work-ing hours(B=0.037,95％CI=0.067～0.007),years of work experience(B=0.028,95％CI=0.010～0.046),contract type(B=-0.517,95％CI=-0.997～-0.037),and work stress(B=0.127,95％CI=0.050～0.204)were the influen-cing factors of work fatigue risks(P＜0.05).Conclusion The work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County are at a relatively high level.Gender,weekly working hours,years of work experience,contract type,and work stress are the main influencing factors.Nursing managers should pay attention to these factors and take targeted measures to inter-vene and reduce the work fatigue risks of nursing staff.

Objective:To investigate the clinical significance of prenatal screening and genetic analysis in the diagnosis of fetal aberrant right subclavian artery(ARSA).Methods:The ultrasonographic features of ARSA fetu-ses detected by prenatal ultrasound at the University of Hong Kong-Shenzhen Hospital from October 2017 to March 2022 were retrospectively analyzed.The fetuses were divided into isolated ARSA group and complicated ARSA group.Their genetic analysis results and pregnancy outcome were analyzed.Results:Among 30,260 preg-nant women,185 fetuses were diagnosed with ARSA by prenatal ultrasound screening,with an incidence of 0.6％;5 fetuses(2.6％)were diagnosed by ultrasound in the first trimester,and the remaining were diagnosed by fetal grade Ⅲ structural ultrasound examination at 20～24 weeks' gestation.Among them,158 fetuses(85.4％)had isolated ARSA,and 27(14.6％)had complicated ARSA.Among fetuses with ARSA and other structural abnormal-ities,cardiovascular system accounted for the highest proportion(44.4％),followed by nervous system(22.2％)and urinary system(22.2％).Through genetic analysis,8.3％(4/48)fetuses with isolated ARSA and 40.0％(4/10)fetuses with complicated ARSA were found to have chromosomal numerical or structural abnormalities,with statis-tically significant difference between the two groups(P=0.024).Genetic analysis was completed in 48 isolated ARSA,and the positive rate of pathogenic copy number variants(CNV)was 4.2％(2/48),which was not signifi-cantly different from the pathogenic CNV incidence rate of 0.4％(1/239)in elderly pregnant cases during the same period(P=0.074).The Down syndrome positive likelihood ratio(LR+)for isolated ARSA was 2.5 and the Down syndrome LR+for complicated ARSA was 49.6.Conclusions:Complicated ARSA is often associated with cardiovascular abnormalities and is more likely to develop Down syndrome than isolated ARSA.Although the inci-dence of pCNV in isolated ARSA is slightly higher than the natural incidence,the correlation between pCNV and i-solated ARSA has not been clearly determined by the current sample size.

Objective:To investigate the therapeutic value of visual endoscopic retrograde appendicitis therapy (vERAT) in pediatric patients with acute suppurative appendicitis (ASA).Methods:This was a retrospective cohort study. A total of 55 ASA patients who underwent vERAT at the Pediatric Department of the Tangdu Hospital of Air Force Medical University between November 2023 and January 2025 were selected and divided into groups based on the presence or absence of fecaliths: fecalith group and non-fecalith group. The baseline characteristics, initial treatment success rates, treatment costs, hospital stay duration, procedure time, and recurrence rates between two groups were compared. Mann-Whitney U test and χ2 test were used to evaluate group differences. Results:A total of 55 ASA patients were enrolled, including 38 males and 17 females, with the age of 11.2 (9.2, 13.1) years. Based on the presence of fecaliths, patients were divided into two groups: fecalith group (32 cases) and non-fecalith group (23 cases). No statistically significant differences were observed between the two groups in terms of age, gender, duration of abdominal pain, white blood cell count, neutrophil percentage, diameter of appendix, thickness of appendix clinical symptoms or signs (all P>0.05). The initial treatment success rates were 91% (29/32) in fecalith group and 96% (22/23) in non-fecalith group, with no statistically significant difference ( P=0.632). However, significant differences were noted in stent placement ( χ2=5.85, P=0.026) and procedure time ( Z=4.75, P<0.001). The follow-up duration time was 6.0 (2.0, 12.0) and 7.0 (2.0, 8.5) months for the fecalith and non-fecalith groups, respectively, with no significant difference ( Z=0.05, P=0.962). The recurrence rates were 14% (4/29) in fecalith group and 5% (1/22) in non-fecalith group, with no statistically significant difference ( P=0.375). Conclusions:vERAT can safely and effectively treat pediatric ASA, regardless of the presence or absence of fecaliths. It can provide a new treatment option for ASA.

Objective To explore how digital and intelligent technologies can optimize the storage allocation and picking paths for Traditional Chinese medicine decoction pieces.Methods Based on prescription information and medicine data from the hospital information system(HIS),this study employs MATLAB programming to use an integer linear programming(ILP)algorithm for optimizing the storage allocation of Traditional Chinese medicine decoction pieces.Additionally,a greedy algorithm is applied to optimize the picking paths to reduce the picking distance for pharmacists.Finally,an independent samples paired t-test is used to analyze the experimental data to verify the significance of the optimizations.Results A total of 7 734 prescriptions were collected from the HIS.The results of storage optimization showed that the total distance before optimization was(87.58±0.29)m,which was reduced to(85.35±0.28)m after optimization(P﹤0.000 1).The picking path optimization results showed that the picking path was(85.35±0.28)m before optimization and(40.06±0.11)m after optimization(P﹤0.000 1).The results of the independent samples paired t-test indicate that the path was significantly reduced after both storage and picking path optimizations,with statistical significance.Conclusion By using digital and intelligent methods,informatics pharmacists can effectively shorten the picking paths for Traditional Chinese medicine decoction pieces,improve dispensing efficiency,and reduce patient waiting times.

Objective This study aims to investigate the work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County and analyze the influencing factors,providing a reference for formulating scientific work processes and systems and improving nursing quality.Methods A convenience sampling was conducted to select 179 clinical nurses from a tertiary hos-pital in Xingguo County from March to April 2025.A self-designed general information questionnaire,a clinical nursing staff work fatigue risk assessment questionnaire,and the nurse work stressor scale were used for the investigation.Univariate and multiple linear regression analyses were conducted to identify the influencing factors of work fatigue risks.Results A total of 186 ques-tionnaires were distributed,with 7 excluded as invalid and 179 valid responses(96.24％).The work fatigue risk assessment score of the 179 clinical nurses was(84.39±10.26),indicating a relatively high level of fatigue.There were significant differ-ences in work fatigue risk scores across genders,weekly working hours,years of work experience,contract types,and work stress levels(P＜0.05).Multiple linear regression analysis showed that gender(B=0.624,95％CI=0.194～1.054),weekly work-ing hours(B=0.037,95％CI=0.067～0.007),years of work experience(B=0.028,95％CI=0.010～0.046),contract type(B=-0.517,95％CI=-0.997～-0.037),and work stress(B=0.127,95％CI=0.050～0.204)were the influen-cing factors of work fatigue risks(P＜0.05).Conclusion The work fatigue risks of clinical nursing staff in a tertiary hospital in Xingguo County are at a relatively high level.Gender,weekly working hours,years of work experience,contract type,and work stress are the main influencing factors.Nursing managers should pay attention to these factors and take targeted measures to inter-vene and reduce the work fatigue risks of nursing staff.