Standard Process Management Research Articles

The Application of Three-level Standardized Process Management in the Rehabilitation of Pelvic Floor Function in Primiparous Women

The Application of Three-level Standardized Process Management in the Rehabilitation of Pelvic Floor Function in Primiparous Women

Autonomous complex knowledge mining and graph representation through natural language processing and transfer learning

Regulatory documents play a significant role in securing engineering project quality, standard process management and long-term sustainable developments. With the digitisation of knowledge in the AEC industry, the demand for automated knowledge mining has emerged when confronted with substantial regulations. However, the current interpretation approaches for regulatory documents are still mostly labour-intensive and flawed in complex knowledge. Based on transfer learning (BERT) and natural language processing (e.g., NLP-Syntactic Parsing), this paper proposes a fully automated knowledge mining framework to convert complex knowledge in textual regulations to graph-based knowledge representations. The framework uses a BERT-based engine to extract clauses from regulation documents through fine-tuning with the self-developed domain dataset. A constituent extractor is developed to process the provisions with complex knowledge and extract constituents. A knowledge modelling engine integrates the extracted constituents into a graph-based regulation knowledge model, which can be queried, visualised, and directly applied to downstream applications. The outcome has demonstrated promising performance in complex knowledge mining and knowledge graph modelling based on ISO 19650 case study. This research can effectively convert textual regulation documents to their counterpart regulatory knowledge base, contributing to automated knowledge acquisition and multi-domain knowledge fusion toward regulation digitalization.

Evaluation and Improvement of Employee Performance with respect to Health, Safety, and Environment (HSE) Factors: A Case of Complex Transport Construction Project.

Risk control in complex transport construction is complicated due to the dangerous nature of high variation and unpredictability. Most of the current research analysis focuses on the health, safety, and environment (HSE) risk assessment and employee performance evaluation, which neglects the impact of HSE risks on employee performance. Consequently, this research develops a framework to evaluate employee performance and identify key factors affecting performance. The employee performance indicators and HSE indicators are established by reviewing related literature. Using data from questionnaires, an artificial neural network- (ANN-) based model of employee activity effectiveness is then developed to evaluate employee performance. Sensitivity analysis is implemented to determine the key factors affecting employee performance. The Hong Kong-Zhuhai-Macau Bridge, a large-scale cross-sea channel project, is taken as a case study for validation. The model results show that the employees are satisfied with the effect of HSE management in general, but the psychological stress they perceive becomes large. The indicators of risk control and employee participation positively impact employee performance, while job satisfaction has a negative impact on performance. These findings indicate that operators should pay more attention to employees' psychological perception of work and form a standardized process management and control plan to prevent cumbersome processes from increasing employees' workload. This study helps construction systems and managers to identify the areas of strengths and weaknesses in their HSE management. The research only focuses on the impact of HSE risks on managers' performance in the complex transport construction project. In the future, further engineering projects and employee performance in composite scenarios can be investigated to improve the overall productivity.

Analysis of China students’ laboratory accidents in the past 39 years and the laboratory management reform in the future

In the recent 39 years, China colleges and universities have developed drastically. However, the colleges’ laboratory accidents also rise significantly. This paper analyzed 197 China college accidents. The results show that the highest percentage of safety accidents are hazardous chemicals. Most of the injured parts of the 416 casualties are concentrated in the front upper body. The author finds that there is a certain correlation between the percentage of accidents and the number of students, as well as the number of scientific research activities. Based on the findings, the author points out: firstly, the college safety department should build a laboratory safety information sharing and analysis platform. The dynamic information includes hazardous chemicals, students, dangerous equipment, research experiments, etc. Secondly, China colleges and universities should build a laboratory safety education system with Chinese characteristics, incorporating laboratory safety education into the training of students. Finally, it is urgent to establish a professional team to fully implement the laboratory safety responsibility system; to establish a laboratory hierarchical and classified management system and to improve experiment project risk assessment and control; to carry out a special inspection on laboratory safety; to carry out standardized construction and to establish standardized process management procedures.

Management mode construction for operation and supervision of rural sewage treatment facilities: Towards the information-to-intelligence strategy

To solve the difficulties in operation and supervision of rural sewage treatment facilities, the intelligent management mode was proposed on the information-to-intelligence strategy. The mode is based on intelligent monitoring facilities to improve the data collection quality, supported by intelligent management platform to establish functional systems, and guaranteed by application services to excavate the whole process management efficiency. A set of systems were constructed to integrate functions such as data collection and management of the whole process, data value analysis, standardized process management, etc., by which the operators and supervisors can comprehensively and timely master the related operation information, aiding for decision making. Compared with the traditional information platform, as for the operation and supervision of rural sewage treatment facilities, the intelligent management platform can be more efficient on labor-saving, efficiency-improving, application-enhancing with the case application study in Jiaxing City, Zhejiang Province.

Effect of standardized process management of early enteral nutrition after operation on rapid recovery of elderly patients with gastric cancer

Objective To explore the clinical effect of applying standard process management in early enteral nutrition support for elderly patients with gastric cancer after operation. Methods A total of 142 elderly patients with gastric cancer in our hospital were randomly divided into control group(n=71) treated with the traditional nursing of enteral nutrition and intervention group(n=71) adopting the standardized process management, and then enteral nutrition tolerance, complications, nutritional status and recovery of gastrointestinal function were compared between the two groups. Results There was no significant difference in age, sex and preoperative nutritional condition and operation situation between the two groups(P>0.05). The incidence of nutritional intolerance and the cost of nutritional support were lower than those in the control group(P 0.05) . Conclusions Standardized process management of early enteral nutrition after operation could significantly improve the tolerance of enteral nutrition, meanwhile, it has positive significance in promoting rapid recovery of elderly patients with gastric cancer. Key words: Standardization; Enteral nutrition; Elderly; Gastric cancer

Effect of enteral nutrition tolerance assessment standardized process management on ventilator associated pneumonia and prognosis in patients with tracheotomy and long-term mechanical ventilation in intensive care unit

To investigate the effect of enteral nutrition (EN) tolerance assessment standardized process management on nosocomial infection and prognosis in patients with tracheotomy and long-term mechanical ventilation (MV) in intensive care unit (ICU). A prospective cohort study was conducted. Forty-six patients who required long-term MV due to tracheotomy admitted to ICU of Changzhou First People's Hospital from January 2015 to December 2017 were enrolled. Taking the standardized process management of EN tolerance assessment from June 30th, 2016 as the time spot, patients admitted from January 1st, 2015 to June 30th, 2016 were taken as the control group (25 cases) and patients admitted from July 1st, 2016 to December 31st, 2017 as the observation group (21 cases). The two groups were all given conventional EN treatment and conventional symptomatic supportive treatment. Patients in the observation group was given the EN tolerance standardized process management, and received the nutritional risk screening score. While the control group was given a conventional EN management protocol (nurses routinely reported to the doctor and then gave further action). The nutritional support related indicators within 30 days of treatment (including serum albumin, serum pre-albumin, serum cholinesterase), the EN feeding tolerance index (the average amount of gastrointestinal motility drugs used within 30 days, the average EN interruption time per patient, and the incidence of gastrointestinal bleeding) and the prognosis-related indicators [including the incidence of ventilator-associated pneumonia (VAP), the monthly average hospitalization cost, the proportion of drugs, and the ratio of antibiotics to drugs] were compared. Compared with the control group, serum albumin, pre-albumin and cholinesterase were significantly increased in the observation group [albumin (g/L): 32.86±4.83 vs. 28.16±3.62, pre-albumin (mg/L): 186.42±62.84 vs. 163.26±73.49, cholinesterase (U/L): 3 482.34±369.92 vs. 2 986.86±491.49, all P < 0.05], the average use of gastrointestinal motility drugs was significantly reduced (mg: 11.20±3.86 vs. 15.23±5.68, P < 0.05), the average EN interruption time was significantly longer in each patient (hours: 6.38±3.59 vs. 4.96±2.28, P < 0.05), and the incidence of gastrointestinal bleeding was significantly decreased (19.04% vs. 24.00%, P < 0.05), the incidence of VAP was significantly decreased (18.64% vs. 21.36%, P < 0.05), and the antibiotics accounted for a significant decrease (62.43% vs. 76.59%, P < 0.05), but there was no significant difference in the proportion of drugs and monthly average hospitalization expenses [drug ratio: 36.88% vs. 38.42%, monthly average hospitalization cost (ten thousand yuan): 4.36±0.57 vs. 4.39±0.49, both P > 0.05]. For the patients with tracheotomy and long-term MV of ICU, the enteral nutrition tolerance assessment standardized process management can improve the nutritional status, reduce the incidence of nosocomial infections, and improve the prognosis of the patients.

The status and influencing factors of the physician-nurse collaboration in feeding critically ill patients

Objective To investigate the status and influencing factors of cooperation of doctors and nurses in the nutritional support of critically ill patients, and provide the basis for future improve the physician-nurse collaboration in the nutritional support. Methods Doctors and nurses who from ICU in Soochow were investigated by the Nurse-Physician Collaboration Scale (NPCS). Results The doctors′ score of physician-nurse collaboration in the nutritional support of critically ill patients was 87.42 ±15.73, which was significantly higher than 80.97 ± 13.80 the nurses′ (t=3.279, P= 0.001).In addition, under the item 1, 3, 5 in the dimension one as well as the total items in the dimensions two and three, the doctors′ score was similarly higher than the nurses, and the differences are also statistically significant (Z=-3.894 - -1.964, all P<0.01 or 0.05). Technical titles, educational level and age was significantly related to the cooperative level between doctors and nurses respectively (χ2=11.037, P=0.012; F=3.488, P=0.037; F=3.499, P=0.016). Conclusions Doctors have higher levels of perceived collaboration than nurses in the nutritional support of critically ill patients, while both require further improvement. We should highlight the physician-nurse collaboration in feeding critically ill patients, and should improve the nutrition quality through standardized process management and active team cooperation. Key words: Nutritional support; Critical illness; Physician-nurse relations; Cooperative behavior