Quality Of Process Research Articles

Separation and Validation of Comprehensive Impurities in Erythromycin Tablets by using Rp-HPLC method

In this study a simple, rapid, accurate and precise gradientRP-HPLC method has been developed and validated for the separation of impurities (IMP) in Erythromycin (ERT-A) tablets pharmaceutical dosage form. The chromatographic separation was carried out on WatersX-Terra RP 18 (250 mm x 4.6 mm I.D., 3.5 µm particle size) at 65°C was used for this separation. Mobile Phase-A consists of Buffersolution (35 g of di-potassium hydrogen phosphate in 1000mL of water, adjust the pH7.0with dilute o-phosphoric acid, filtered through 0.45 µm membrane filter) acetonitrile and water in ratio of 5:35:60 v/v/v respectively. Mobile Phase-B consists of a mixture of phosphate buffer pH 7.0, water and acetonitrile in ratio of 5:45:50 v/v/v respectively .The flow rate and injection volume was 1.0 mL/min and 100 μL respectively. The analysis was carried out under the gradient conditions as time (min)/A (v/v): B(v/v); T0/100:00, T45/100:00, T47/0:100, T63/0:100, T65/100:00, and T70/100:00. The wavelength was identified at 215 nm. The ERT-Adegrades under various circumstances. The degradation products were well resolved from the ERT peaks. This method was found to be linear. The cumulative %RSD values are ;identified and found that they are within the range. From the study concluded that the method is accurate, specific, selective, precise, robust, and useful during the process development and quality check in finished dosage form manufacturing.

Monitoring of the Weld Pool, Keyhole Morphology and Material Penetration State in Near-Infrared and Blue Composite Laser Welding of Magnesium Alloy

The laser welding of magnesium alloys presents challenges attributed to their low laser-absorbing efficiency, resulting in instabilities during the welding process and substandard welding quality. Furthermore, the complexity of signals during laser welding processes makes it difficult to accurately monitor the molten state of magnesium alloys. In this study, magnesium alloys were welded using near-infrared and blue lasers. By varying the power of the near-infrared laser, the energy absorption pattern of magnesium alloys toward the composite laser was investigated. The U-Net model was employed for the segmentation of welding images to accurately extract the features of the melt pool and keyhole. Subsequently, the penetrating states were predicted using the convolutional neural network (CNN), and the novel approach employing Local Binary Pattern (LBP) features + a backpropagation (BP) neural network was applied for comparison. The extracted images achieved MPA and MIoU values of 89.54% and 81.81%, and the prediction accuracy of the model can reach up to 100%. The applicability of the two monitoring approaches in different scenarios was discussed, providing guidance for the quality of magnesium welding.

A DFT study on catalytic cracking mechanism of tar by Ni or Fe doped CaO during biomass steam gasification

The presence of byproduct tar seriously reduces the efficiency and syngas quality in the biomass gasification process. The current understanding of CaO-catalyzed tar cracking mainly depends on experimental findings and conjecture about CaO properties. However, there is a significant lack of simulation studies that explore the conversion mechanism at the molecular level. In this work, the reaction mechanism of tar catalytic cracking on Ni or Fe doped CaO was studied using density functional theory simulation. The benzene, phenol and toluene were chosen as the tar model compounds to determine the influences of Ni and Fe on the adsorption characteristics of CaO surface. CaO doped with Ni and Fe increases its electron affinity and electron conductivity from 4.99 to 9.21/5.58 eV-1. It also enhances the interactions between the d-orbitals of Ni/Fe atoms and the p-orbitals of O atoms. The C-H activation of ·CH3 is the most kinetically and energetically feasible first step. The Ni-doped CaO and Fe-doped CaO decrease the energy barriers by 15.7 % and 21.7 %, respectively, compared with undoped CaO. Ni enhances the surface adsorption capacity for ·H radicals to form OH* at the O top site, whereas Fe promotes the stabilization of ·H radicals at the Ca-O vacancy. Through the enhancement of chemical adsorption capacity, improvement of electronic properties, introduction of electron reorganization and orbital hybridization, low-energy shift of energy levels, and generation of new energy states (from -0.85 to -1.64/-3.05 eV), the surfaces of Ni-doped CaO and Fe-doped CaO provide a favorable electronic environment for the tar catalytic cracking, which improves the reaction efficiency and selectivity.

Multispecies pasture diet and cow breed impacts on milk composition and quality in a seasonal spring-calving dairy production system

In recent years, there has been significant emphasis on the composition of pasture-based cow feed and the potential benefits of incorporating multispecies swards to improve sustainability and biodiversity. This study compared the effects of a conventional perennial ryegrass (PRG) monoculture supported by high chemical nitrogen (N) usage with a low chemical N application multispecies sward system (MSS) on the composition and quality of milk across lactation using spring-calving Holstein-Friesian (HF) and Jersey Holstein-Friesian (JFX) cows. Bulk milk samples (n = 144) were collected from each group at morning and evening milking on a weekly basis (n = 36) throughout lactation and analyzed for gross composition and physico-chemical properties. Cow breed had a significant impact on milk profile, with milk from HF cows having significantly smaller milk fat globule (MFG) size, higher instability index values, higher yield, and lower total solids levels, compared with JFX cows. Notably, HF cows had increased milk total solids and fat levels when fed on MSS, as opposed to the PRG-fed HF cows. Feeding MSS pasture increased creaming velocity values in mid and late lactation, and resulted in similar milk gross composition to PRG. In comparison to PRG, MSS-fed groups showed significantly increased total solids yield, including higher levels of protein and fat yield. In late lactation, MSS feeding was associated with reduced MFG size. All physicochemical properties studied (MFG size, creaming velocity, instability index) showed decreasing values from early to late lactation stage. Overall, these findings demonstrate the significant effects of cow diet, breed and stage of lactation on compositional and physico-chemical characteristics of milk, with important implications for milk processing and dairy product quality.

Utilization of Media and Technology in Learning Islamic Religious Education

This research explores the use of media and technology in learning Islamic Religious Education in the digital era. The application of modern technology and interactive media has the potential to improve the quality and effectiveness of the PAI learning process. This study will analyze various technological platforms and tools used to deliver PAI material to students. Digital media such as learning videos, mobile applications and e-learning platforms can help improve students' understanding of PAI material. Apart from that, the use of technology also facilitates more interactive and interesting learning, and supports independent learning. This study also emphasizes the importance of educators' readiness to integrate technology into the PAI curriculum and the need for training and support for teachers. Proper use of technological media will bring positive changes in Islamic Religious Education learning

Quality measures in primary care skin cancer management: a qualitative study of the views of key informants

ObjectivesThis study explored potential quality measures to improve skin cancer management in primary care settings, and the barriers and facilitators associated with their implementation.DesignSemistructured interviews and qualitative proforma surveys were...

Effects of different post-harvest processing methods on changes in the active ingredients of licorice based on LC-MS and plant metabolomics.

Licorice, the dried roots and rhizomes of the Glycyrrhiza uralensis Fisch., holds a prominent status in various formulations within the realm of Chinese medicinal practices. The traditional processing methods of licorice hinder quality assurance, thus prompting Chinese medicine researchers to focus on the fresh processing methods to enhancing processing efficiency and quality. This study aimed to identify the differential compounds of licorice between traditional and fresh processing methods and provide a scientific basis for the fresh processing of licorice and for further research on the processing mechanism. A methodology integrating ultra-performance liquid chromatography with quadrupole-time-of-flight tandem mass spectrometry combined with multivariate statistical analysis was employed to characterize the differential compounds present in licorice between traditional processing and fresh processing. The results derived from principal component analysis and heat map analyses underscored significant differences in the content of bioactive compounds between the two processing methods. By applying conditions of VIP > 1.5 and p < 0.05, a total of 38 differential compounds were identified through t tests, and the transformation mechanisms of select compounds were illustrated. The adoption of fresh processing techniques not only improved processing efficiency but also significantly enhanced the preservation of bioactive compounds within licorice. This research has established a rapid and efficient analytical method for the identification of differential compounds present in differently processed licorice products.

Investigation of continuous wave/coaxial waterjet-assisted laser combined machining of micro holes in GH3536

A two-step combined processing technique, combining a continuous-wave laser with a waterjet-assisted nanosecond laser, has been introduced to enhance the quality and efficiency of laser micro-hole processing for nickel-based superalloys. Initially, a through-hole was created using a continuous-wave laser, followed by hole refinement with a coaxial waterjet-assisted nanosecond laser. In the first step, orthogonal testing methods were employed to investigate the impact of various parameters, including power, duty ratio, frequency, defocusing amount, and processing time, on the entrance and exit apertures, as well as the hole taper. Through the analysis of variance (ANOVA) method, the optimal parameter combination A2B1C4D3E1 was identified, achieving the minimal hole taper. This combination comprised a power level of 80 %, a duty ratio of 15 %, a frequency of 400 Hz, a defocusing amount of 2 mm, and a processing time of 10 ms. In the second step, a comparison was made between scanning and trepan drilling machining methods. The results unequivocally demonstrated that scanning drilling achieves superior entrance and exit morphologies. Furthermore, the effect of water jet velocity on the morphology of micropores was thoroughly analyzed. The voltage range of the water pump was adjusted from 10 V to 24 V, revealing that a voltage of 20 V produced the smallest hole taper. The scanning filling diameter was accurately preset according to the preformed hole aperture as well as the thickness of the recast layer. Finally, after coaxial waterjet-assisted laser precision machining, the inner wall of the hole is free of cracks, and the recast layer and oxide layer are effectively minimized. The initial hole prefabrication with the continuous-wave laser took merely 0.01 s, and the subsequent fine-tuning with the coaxial waterjet-assisted laser took 2 min and 25 s.

Assessment of Effectiveness of 2 Medication-Use Process Quality Audit Tools Using Clinical Performance Feedback Intervention Theory.

Assessment of Effectiveness of 2 Medication-Use Process Quality Audit Tools Using Clinical Performance Feedback Intervention Theory.

X Seminario sulla ricerca empirica in educazione: «Il contributo dell’AI alla qualificazione dei processi di istruzione»

10TH SEMINAR ON EMPIRICAL RESEARCH IN EDUCATION: «THE CONTRIBUTION OF AI TO THE QUALIFICATION OF EDUCATIONAL PROCESSES» Abstract The 10th scientific Seminar, held in Rome on May 25th, was organized by the «Journal of Educational, Curltural and Psychological Studies» in collaboration with UniCamillus – International University of Health Sciences and investigated the contribution of AI to the educational-cultural qualification of education processes. After a few years of stopping seminar activities due to the pandemic emergency, it was decided to return to talking together about education, training, school and the chosen theme, namely the use of Artificial Intelligence, is currently at the center of interest scientific and beyond.

Statistical Methods to Examine Racial and Ethnic Disparities in the Surgical Literature: A Review and Recommendations for Improvement.

We characterized the quality of statistical methods for studies of racial and ethnic disparities in the surgical-relevant literature during 2021-2022. Hundreds of scientific papers are published each year describing racial and ethnic disparities in surgical access, quality, and outcomes. The content and design quality of this literature has never been systematically reviewed. We searched for 2021-2022 studies focused on describing racial and/or ethnic disparities in surgical or perioperative access, process quality, or outcomes. Identified studies were characterized in terms of three methodological criteria: 1) adjustment for variables related to both race/ethnicity and outcomes, including social determinants of health (SDOH); 2) accounting for clustering of patients within hospitals or other subunits ("providers") and; 3) distinguishing within- and between-provider effects. We identified 224 papers describing racial and/or ethnic differences. Of the 38 single institution studies, 24 (63.2%) adjusted for at least one SDOH variable. Of the 186 multisite studies, 113 (60.8%) adjusted for at least one SDOH variable, and 43 (23.1%) accounted for clustering of patients within providers using appropriate statistical methods. Only 10 (5.4%) of multi-institution studies made efforts to examine how much of overall disparities were driven by within versus between provider effects. Most recently published papers on racial and ethnic disparities in the surgical literature do not meet these important statistical design criteria and therefore may risk inaccuracy in the estimation of group differences in surgical access, quality, and outcomes. The most potent leverage points for these improvements are changes to journal publication guidelines and policies.

Practical manual for the implementation of service and process improvement methodologies, quality models and tools

This study seeks to identify the common factors in the methodologies, practices and management models, as well as in the quality tools used by leading national companies through a systematic review in which the city of Guayaquil was taken as a sample reference, investigating the achievement of procedures in institutions that have adopted this simplification model. It responds to a result of the research project carried out by students and teachers of the TES: Practical manual for the implementation of methodologies for the improvement of services and processes, models and quality tools. The authors used instruments such as interviews, SWOT analysis, Ishikawa diagrams, among others, to collect qualitative and quantitative data. The technique used was documentary review, using record cards as an instrument. The results obtained allow us to conclude that the authors' analysis highlights the need to apply specific strategies to improve organizational efficiency. They also seek to reflect the impact that quality management has had on the country's competitiveness. In addition, the importance of adopting proactive approaches to address the challenges identified in other studies is emphasized.

Appraising Quality in Action Research in Healthcare Settings

Criteria for establishing the quality of action research is of increasing interest to researchers and practitioners however, it is not known how well these criteria are used. This review addresses this issue by appraising extant measures that assess quality in action research. Taking Coghlan and Shani’s (2014, 2018) four quality factors: context, quality of relationships, quality of the action process and outcomes, this scoping review examines if and how these factors have featured as quality criteria. While all studies included in this review reported on the four quality factors, no study reported in any detail on how any of the factors were integrated with one another. Findings therefore highlight a significant gap in the monitoring and reporting on the quality of action research studies. Addressing these gaps will support the development of future action research aimed at mitigating the lack of quality associated with action research approaches.

Alternative Payment Models and Performance in Federally Qualified Health Centers.

Several state Medicaid agencies have transitioned from traditional fee-for-service to a value-centric alternative payment model (APM) to reimburse federally qualified health centers (FQHCs). Little is known about the effects of this shift on FQHC performance. To assess the association between APMs and the clinical performance, payer mix, risk profile, and financial sustainability of FQHCs. This retrospective cohort study was performed in 684 FQHCs (representing 37 states plus the District of Columbia) that continuously operated between January 2009 and December 2021. Data on payer mix (eg, type of insurance) and risk profile (eg, proportion of patients with chronic conditions) of FQHC patients were obtained from the Uniform Data System, and clinic-level financial data (eg, revenue) were obtained from Internal Revenue Service form 990 tax documents. Data were analyzed between November 2022 and October 2023. Initial rollout of a value-based payment model (ie, an APM) for FQHCs, as offered by state Medicaid program, between January 2013 and December 2021. The main outcomes were 4 audited process measures of health care quality (cervical and colorectal cancer screening and body mass index [BMI] assessment for adults and children) and 2 intermediate health outcome measures (hypertension control and diabetes control). A difference-in-differences design was used with staggered implementation comparing FQHCs before and after the initial APM rollout vs contemporaneous changes in FQHCs in states without APMs. A total of 684 FQHCs (8892 FQHC-years) that served 17 823 959 patients in 2021 (57.3% female) were included in the study. Among FQHCs in states implementing APMs, significant differential increases in 3 of the 4 process quality measures were observed compared with FQHCs in states that did not implement an APM: colorectal cancer screening (3.24 percentage points [pp]; 95% CI, 1.40-5.08 pp), adult BMI (3.19 pp; 95% CI, 0.70-5.68 pp), and child BMI (4.50 pp; 95% CI, 1.83-7.17 pp). There were also modest differential improvements in blood pressure control for individuals with hypertension (1.02 pp; 95% CI, 0.04-2.00 pp) and blood glucose control for individuals with type 2 diabetes (1.02 pp; 95% CI, 0.02-2.02 pp) compared with FQHCs in states without an APM. There was no evidence that the APM rollout was associated with clinics selecting healthier patients (-0.01 pp; 95% CI, -0.21 to 0.19 pp) or stinting on care (-0.02 visits; 95% CI, -0.08 to 0.04 visits). In this cohort study, introduction of Medicaid APM options for FQHCs was associated with modest, statistically significant increases in quality concentrated among FQHCs with APM models that explicitly incentivized quality. This finding suggests that APMs can be both a financially viable and a health-promoting model for reimbursement in the health care safety net.

Alternative Payment Models and Performance in Federally Qualified Health Centers

ImportanceSeveral state Medicaid agencies have transitioned from traditional fee-for-service to a value-centric alternative payment model (APM) to reimburse federally qualified health centers (FQHCs). Little is known about the effects of this shift on FQHC performance.ObjectiveTo assess the association between APMs and the clinical performance, payer mix, risk profile, and financial sustainability of FQHCs.Design, Setting, and ParticipantsThis retrospective cohort study was performed in 684 FQHCs (representing 37 states plus the District of Columbia) that continuously operated between January 2009 and December 2021. Data on payer mix (eg, type of insurance) and risk profile (eg, proportion of patients with chronic conditions) of FQHC patients were obtained from the Uniform Data System, and clinic-level financial data (eg, revenue) were obtained from Internal Revenue Service form 990 tax documents. Data were analyzed between November 2022 and October 2023.ExposureInitial rollout of a value-based payment model (ie, an APM) for FQHCs, as offered by state Medicaid program, between January 2013 and December 2021.Main Outcomes and MeasuresThe main outcomes were 4 audited process measures of health care quality (cervical and colorectal cancer screening and body mass index [BMI] assessment for adults and children) and 2 intermediate health outcome measures (hypertension control and diabetes control). A difference-in-differences design was used with staggered implementation comparing FQHCs before and after the initial APM rollout vs contemporaneous changes in FQHCs in states without APMs.ResultsA total of 684 FQHCs (8892 FQHC-years) that served 17 823 959 patients in 2021 (57.3% female) were included in the study. Among FQHCs in states implementing APMs, significant differential increases in 3 of the 4 process quality measures were observed compared with FQHCs in states that did not implement an APM: colorectal cancer screening (3.24 percentage points [pp]; 95% CI, 1.40-5.08 pp), adult BMI (3.19 pp; 95% CI, 0.70-5.68 pp), and child BMI (4.50 pp; 95% CI, 1.83-7.17 pp). There were also modest differential improvements in blood pressure control for individuals with hypertension (1.02 pp; 95% CI, 0.04-2.00 pp) and blood glucose control for individuals with type 2 diabetes (1.02 pp; 95% CI, 0.02-2.02 pp) compared with FQHCs in states without an APM. There was no evidence that the APM rollout was associated with clinics selecting healthier patients (–0.01 pp; 95% CI, –0.21 to 0.19 pp) or stinting on care (–0.02 visits; 95% CI, –0.08 to 0.04 visits).Conclusions and RelevanceIn this cohort study, introduction of Medicaid APM options for FQHCs was associated with modest, statistically significant increases in quality concentrated among FQHCs with APM models that explicitly incentivized quality. This finding suggests that APMs can be both a financially viable and a health-promoting model for reimbursement in the health care safety net.

Following fuel conversion during biomass gasification using tunable diode laser absorption spectroscopy diagnostics

The efficiency of the gasification process and product quality largely depend on the degree of fuel conversion. We present the real-time in-situ tunable diode laser measurements of main carbon and oxygen-containing species in the hot reactor core of a pilot-scale entrained flow biomass gasifier (EFG). The concentrations of CO, CO2, CH4, C2H2, H2O, soot, and gas temperature were measured during the air and oxygen-enriched gasification of stem wood at varying equivalence ratios. The experiments were made at the upper and lower optical ports inside a 4 m long, ceramic-lined, atmospheric EFG, allowing to access the degree of the fuel conversion inside the reactor. The exhaust composition was measured by micro-GC, FTIR, and low-pressure impactor. There was a good agreement between the data measured inside the reactor and at the exhaust for oxygen-enriched gasification implying that the chemical reactions are practically frozen downstream the optical ports. For air, the data indicated that the gasification reactions are still active at the measurement locations. Significant concentrations of C2H2, up to 5000 ppm, were found inside the reactor.

An Efficient and Accurate Surface Defect Detection Method for Wood Based on Improved YOLOv8

Accurate detection of wood surface defects plays a pivotal role in enhancing wood grade sorting precision, maintaining high standards in wood processing quality, and safeguarding forest resources. This paper introduces an efficient and precise approach to detecting wood surface defects, building upon enhancements to the YOLOv8 model, which demonstrates significant performance enhancements in handling multi-scale and small-target defects commonly found in wood. The proposed method incorporates the dilation-wise residual (DWR) module in the trunk and the deformable large kernel attention (DLKA) module in the neck of the YOLOv8 architecture to enhance the network’s capability in extracting and fusing multi-scale defective features. To further improve the detection accuracy of small-target defects, the model replaces all the detector heads of YOLOv8 with dynamic heads and adds an additional small-target dynamic detector head in the shallower layers. Additionally, to facilitate faster and more-efficient regression, the original complete intersection over union (CIoU) loss function of YOLOv8 is replaced with the IoU with minimum points distance (MPDIoU) loss function. Experimental results indicate that compared with the YOLOv8n baseline model, the proposed method improves the mean average precision (mAP) by 5.5%, with enhanced detection accuracy across all seven defect types tested. These findings suggest that the proposed model exhibits a superior ability to detect wood surface defects accurately.

Research on hyperspectral timely monitoring model of green tea processing quality based on PSO-LSSVR

To monitor the processing status and content of the main components of tea leaves during green tea processing timely, a monitoring model for the contents of green tea processing based on hyperspectral imaging is established in this paper. The aim of this model is to improve the quality of finished green tea products by addressing the shortcomings of existing methods that cannot achieve timely, non-destructive, and accurate detection. Initially, hyperspectral and biochemical data were collected across four processing procedures of green tea. Following the exclusion of abnormal samples, preprocessing techniques including Savitzky-Golay, multiple scatter correction, and 2nd derivative were compared and selected. Subsequently, feature wavelengths extracted through correlation analysis, principal component analysis, and successive projections algorithm were utilized to construct least squares support vector regression (LSSVR) prediction models, determining the optimal feature extraction method. Finally, particle swarm optimization (PSO) was employed to refine LSSVR model parameters, resulting in the PSO-LSSVR model. Post-optimization, the determination coefficient (R2) exceeded 0.9, the root means square error remained around 0.005, and the residual prediction deviation surpassed 3. The PSO-LSSVR model exhibited better predictive capabilities compared to the LSSVR model, offering a method reference for timely monitoring of green tea processing inclusions.

Integrating Patient-Reported Outcomes in the Evaluation of Breast Implant Satisfaction and Quality of Life

With a focus on aesthetic and reconstructive services, PROs have become even more important in assessing the success rate of procedures. More specifically, the current study looks into the use of PROs to gauge patient quality of life and satisfaction with breast implants. Accordingly, patients may not be content with their care because typical measures based on a proportion of fatalities, morbidity/mortality rates, or other consequences following treatment do not necessarily provide the complete picture. It is recognized that including PROs could assist healthcare practitioners with patient satisfaction insights that conventional measurements must precisely record. Among the frequently employed tools is the Breast-Q, which assesses many domains, such as satisfaction with the physical, psychological, and sexual aspects of the breast's appearance. Because of this, research has shown that incorporating these indicators is crucial for evaluating the perceived surgical outcomes, which show improved life quality and psychosocial elements and enhanced satisfaction with the appearance of the treated body area. However, physical discomfort and other adverse effects might sometimes be felt as tightness or pain that are difficult to quantify with traditional medical testing. When PROs are used in the clinic, a more thorough picture of the patient's functioning domains is provided, which enables the doctor to help the patient manage their post-operative pain or consult with a specialist about psychiatric issues. PROs can also strengthen the relationship between patients and clinicians by allowing patients to participate in creating their treatment plans, which guarantees that the plans are tailored to the patients' needs and preferences. Therefore, we must stress the significance of PROs, especially in assessing patient satisfaction with breast implants and their overall quality of life. Carotenemia SC identified areas of strength and need for improvement from the perspective of subjective constructs to enhance process quality improvement in breast implant surgery for the benefit of patients.

Questionnaire survey and analysis of drug clinical research implementation capabilities of breast cancer treatment departments in Chinese hospitals

BackgroundClinical research competence determines the quality of clinical research and the reliability of research findings. We aimed to explore the clinical research implementation capabilities of breast cancer treatment departments in China. MethodsThis was a department-based cross-sectional study conducted in the form of electronic questionnaires on the Wenjuanxing platform from 7th August to 31st August 2023 among hospitals from the first batch of breast cancer standardized diagnosis and treatment quality control pilot centers in China. ResultsA total of 127 questionnaires from 122 hospitals were ultimately included in the analysis. Medical personnel involved in the clinical research of 118 (92.9 %) departments received good clinical practice (GCP) training. The steps of the approval process from research initiation to completion lasted 2–4 weeks or longer. The majority of departments initiated or participated in 2 or fewer clinical research projects over the past year. Among the differences between different departments, the Department of Medical Oncology had a better qualification profile and process and greater number of initiated and participated clinical studies than did the Department of Surgical Oncology. For needs and problems, most of the departments were strongly willing to undertake clinical research and receive professional training; the most common problem in the process of conducting studies was patient recruitment. ConclusionsMost departments generally exhibited complete capabilities for implementing clinical research. Improvements in implementation efficiency, quality of research and patient recruitment are still needed. Professional training and communication, as well as the recommendation of clinical research, are required in future development.