摘要:目的:優化藥品單劑量調劑,加強信息化管理,優化操作流程。 方法:采用東華軟件:住院藥房管理系統(DTCISIP)和住院藥品調劑系統(DTCISID) 實施。結果:東華軟件成功實現了我院4300病床的藥品單劑量調劑及各部門管理聯網,優化了操作系統及流程,且系統運行穩定。結論:東華軟件進行藥品單劑量調劑,加強了藥品的出入管理,優化了藥品單劑量調劑的操作流程。Abstract: Objective: To improve united dose dispension, enhance the utilization of information technology in management of united dose dispension and optimize clinical human resource. Methods: DONG HUA software, which included DTCISIP system(system for management of medicine for inpatients) and DTCISID system(system for dispension of medicine for in-patients), was used to carry out united dose dispension. Results: United dose dispension of 4300 beds were easy to achieve by using DONG HUA software. The system worked smoothly and received lots of praise. Conclusion: The management of medicine is enhanced and clinical human resource is optimized by using DONG HUA software to carry out united dose dispension
Aiming at the disadvantages of traditional direct aperture optimization (DAO) method, such as slow convergence rate, prone to stagnation and weak global searching ability, a gradient-based direct aperture optimization (GDAO) is proposed. In this work, two different optimization methods are used to optimize the shapes and the weights of the apertures. Firstly, in order to improve the validity of the aperture shapes optimization of each search, the traditional simulated annealing (SA) algorithm is improved, the gradient is introduced to the algorithm. The shapes of the apertures are optimized by the gradient based SA method. At the same time, the constraints between the leaves of multileaf collimator (MLC) have been fully considered, the optimized aperture shapes are meeting the requirements of clinical radiation therapy. After that, the weights of the apertures are optimized by the limited-memory BFGS for bound-constrained (L-BFGS-B) algorithm, which is simple in calculation, fast in convergence rate, and suitable for solving large scale constrained optimization. Compared with the traditional SA algorithm, the time cost of this program decreased by 15.90%; the minimum dose for the planning target volume was improved by 0.29%, the highest dose for the planning target volume was reduced by 0.45%; the highest dose for the bladder and rectum, which are the organs at risk, decreased by 0.25% and 0.09%, respectively. The results of experiment show that the new algorithm can produce highly efficient treatment planning a short time and can be used in clinical practice.
By analyzing the physiological structure and motion characteristics of human ankle joint, a four degree of freedom generalized spherical parallel mechanism is proposed to meet the needs of ankle rehabilitation. Using the spiral theory to analyze the motion characteristics of the mechanism and based on the method of describing the position with spherical coordinates and the posture with Euler Angle, the inverse solution of the closed vector equation of mechanism position is established. The workspace of mechanism is analyzed according to the constraint conditions of inverse solution. The workspace of the moving spherical center of the mechanism is used to match the movement space of the tibiotalar joint, and the workspace of the dynamic platform is used to match the movement space of subtalar joint. Genetic algorithm is used to optimize the key scale parameters of the mechanism. The results show that the workspace of the generalized spherical parallel mechanism can satisfy the actual movement space of human ankle joint rehabilitation. The results of this paper can provide theoretical basis and experimental reference for the design of ankle joint rehabilitation robot with high matching degree.
Sudden cardiac arrest is one of the critical clinical syndromes in emergency situations. A cardiopulmonary resuscitation (CPR) is a necessary curing means for those patients with sudden cardiac arrest. In order to simulate effectively the hemodynamic effects of human under AEI-CPR, which is active compression-decompression CPR coupled with enhanced external counter-pulsation and inspiratory impedance threshold valve, and research physiological parameters of each part of lower limbs in more detail, a CPR simulation model established by Babbs was refined. The part of lower limbs was divided into iliac, thigh and calf, which had 15 physiological parameters. Then, these 15 physiological parameters based on genetic algorithm were optimized, and ideal simulation results were obtained finally.
Objective To explore the application effect of process optimization in perioperative venous access management. Methods A total of 205 general surgery patients in the Operating Room of Cheng Du Shang Jin Nan Fu Hospital, West China Hospital of Sichuan University from April to May 2018 were selected as the control group, and 205 general surgery patients from June to August 2018 were selected as the observation group. The traditional management process was used in the control group, and the process optimization management was performed in the observation group. The establishment of venous access and related complications between the two groups of patients, as well as the satisfaction of patients and staff before and after the process optimization were compared. Results There was no significant difference in gender, age, education level, operation type, anesthesia method, operation duration, or intraoperative intravenous infusion channels between the two groups of patients (P>0.05). There was no statistically significant difference in gender, age, educational background, job title, job nature, or working years of the staff participating in the satisfaction survey before and after the process optimization (P>0.05). The rate of repetitive venous puncture (15.61% vs. 58.05%) and the idelness ratio of the intraoperative indwelling needle approach (10.73% vs. 52.20%) in the observation group were lower than those of the control group, and the differences were statistically significant (P<0.05). There was no statistically significant difference in the incidence of tube blockage, detubation, or phlebitis/exudation between the two groups (P>0.05). After process optimization, patient satisfaction (22.91±3.43 vs. 17.44±4.90) and staff satisfaction (28.17±2.56 vs. 20.65±3.71) were higher than before optimization, and the differences were statistically significant (P<0.05). Conclusions The process optimization of venous access management for perioperative patients can effectively reduce the rate of venous repeated venipuncture and the idelness ratio of the intraoperative indwelling needle approach, reduce invasive operations on patients, reduce the ineffective work of nurses, avoid the waste of medical resources such as manpower and materials, and improve the satisfaction of patients and staff. It is worthy of promotion and application.
Objective To evaluate the effect of optimizing the management measures of cataract ambulatory surgery. Methods The patients who underwent cataract phacoemulsification combined with intraocular lens implantation in the Ambulatory Surgery Center of East District of Beijing Tongren Hospital affiliated to Capital Medical University were selected. Patients between January and December 2021 (after the optimization of ambulatory surgery process) were included, and patients between January and December 2020 (before the optimization of ambulatory surgery process) were included as control. The three factors of age, gender and surgical eye type were used as predictive variables for propensity score matching. The proportion of patients who completed the surgery according to the scheduled time, the proportion of eye drops used according to the doctor’s instructions and the number of hospital visits before and after the optimization of the ambulatory surgery process were compared with the patients who successfully matched. Results A total of 28306 patients were included, including 13284 before and 15022 after process optimization. There were 13467 males and 14839 females, with a median age of 70 (60, 78) years. There was no statistically significant difference in the age of patients before the process optimization (P>0.05), but there was statistically significant difference in gender and surgical eye (P<0.05). After the propensity score matching, a total of 12932 pairs of patients were matched successfully. After the propensity score matching, there was no statistically significant difference between the two groups in age, gender and surgical eye (P>0.05). After the process optimization, the proportion of patients who completed surgery on schedule (98.8% vs. 93.3%) and used eyedrops according to the doctor’s instructions (97.4% vs. 93.0%) were higher than that before the process optimization, and the proportion of patients who came to hospital more than 3 times (0.7% vs. 1.9%) was lower than that before the process optimization (P<0.05). Conclusion The optimized ambulatory surgery process can help patients complete the surgery according to the scheduled time and use eye medication according to the doctor’s instructions, and can reduce the number of patients coming to the hospital.
The objective of this study was to determine the visco-hyperelastic constitutive law of brain tissue under dynamic impacts. A method combined by finite element simulations and optimization algorithm was employed for the determination of material variables. Firstly, finite element simulations of brain tissue dynamic uniaxial tension, with a maximum stretch rate of 1.3 and strain rates of 30 s–1 and 90 s–1, were developed referring to experimental data. Then, fitting errors between the engineering stress-strain curves predicted by simulations and experimental average curves were assigned as objective functions, and the multi-objective genetic algorithm was employed for the optimation solution. The results demonstrate that the brain tissue finite element models assigned with the novel obtained visco-hyperelastic material law could predict the brain tissue’s dynamic mechanical characteristic well at different loading rates. Meanwhile, the novel material law could also be applied in the human head finite element models for the improvement of the biofidelity under dynamic impact loadings.
Image interpolation is often required during medical image processing and analysis. Although interpolation method based on Gaussian radial basis function (GRBF) has high precision, the long calculation time still limits its application in field of image interpolation. To overcome this problem, a method of two-dimensional and three-dimensional medical image GRBF interpolation based on computing unified device architecture (CUDA) is proposed in this paper. According to single instruction multiple threads (SIMT) executive model of CUDA, various optimizing measures such as coalesced access and shared memory are adopted in this study. To eliminate the edge distortion of image interpolation, natural suture algorithm is utilized in overlapping regions while adopting data space strategy of separating 2D images into blocks or dividing 3D images into sub-volumes. Keeping a high interpolation precision, the 2D and 3D medical image GRBF interpolation achieved great acceleration in each basic computing step. The experiments showed that the operative efficiency of image GRBF interpolation based on CUDA platform was obviously improved compared with CPU calculation. The present method is of a considerable reference value in the application field of image interpolation.
Internal fixator is usually adopted in the treatment of bone fractures. In order to achieve anatomical reduction and effective fixation of fractures, the placement of internal fixators should comply with the biology force line of the bone and adapt to the specific anatomical morphological characteristics of the cortical bone. In order to investigate the distribution characteristics and formation regularity of biology force line and cortical thickness of human bone, three-dimensional model of proximal femur is established by using three-dimensional reconstruction technique in this paper. The normal physiological stress distribution of proximal femur is obtained by finite element analysis under three kinds of behavior conditions: one-legged stance, abduction and adduction. The structural topology optimization method is applied to simulate the cortex of the proximal femur under the combined action of three kinds of behavior conditions, and the anatomic morphological characteristics of the proximal femur are compared. The distribution trend of biology force line of proximal femur and the characteristics of cortex are analyzed. The results show that the biology force lines of bone structure and the morphological characteristics of cortex depend on the load of human activities. The distribution trend of biology force line is related to the direction of trabecular bone and the ridge trend and firmness of cortex when bone is loaded physiologically. The proposed analytical method provides a solution to determine the biology force line of bone and the distribution characteristics of cortex. The conclusions obtained may guide the reasonable placement of internal fixator components of fracture.
Most of the existing near-infrared noninvasive blood glucose detection models focus on the relationship between near-infrared absorbance and blood glucose concentration, but do not consider the impact of human physiological state on blood glucose concentration. In order to improve the performance of prediction model, particle swarm optimization (PSO) algorithm was used to train the structure paramters of back propagation (BP) neural network. Moreover, systolic blood pressure, pulse rate, body temperature and 1 550 nm absorbance were introduced as input variables of blood glucose concentration prediction model, and BP neural network was used as prediction model. In order to solve the problem that traditional BP neural network is easy to fall into local optimization, a hybrid model based on PSO-BP was introduced in this paper. The results showed that the prediction effect of PSO-BP model was better than that of traditional BP neural network. The prediction root mean square error and correlation coefficient of ten-fold cross-validation were 0.95 mmol/L and 0.74, respectively. The Clarke error grid analysis results showed that the proportion of model prediction results falling into region A was 84.39%, and the proportion falling into region B was 15.61%, which met the clinical requirements. The model can quickly measure the blood glucose concentration of the subject, and has relatively high accuracy.