BACKGROUND Traditional postoperative nursing methods implemented after laparoscopic hepatectomy often leads to slow patient recovery.As a new nursing mode,enhanced recovery after surgery(ERAS)has been widely used in t...BACKGROUND Traditional postoperative nursing methods implemented after laparoscopic hepatectomy often leads to slow patient recovery.As a new nursing mode,enhanced recovery after surgery(ERAS)has been widely used in the peri-and postoperative care of patients.However,its effects after laparoscopic hepatectomy remains unclear.AIM To explore the influence of nursing under the ERAS concept on time to first ambulation and complications after laparoscopic hepatectomy.METHODS Data from 119 patients,who underwent laparoscopic hepatectomy for various indications between January 2020 and March 2025,were divided into 2 groups according to nursing mode:Observation[nursing based on the ERAS concept(n=59)],and control[basic nursing(n=60)].Time to first ambulation,complications,length of hospital stay,and numerical rating scale(NRS)scores were compared between the groups.Statistical analysis was performed using SPSS version 26.0(IBM Corp.,Armonk,NY,United States).Differences with P<0.05 were considered statistically significant.RESULTS Findings indicated that after post-nursing intervention,the observation group experienced significantly sooner initial discharge times and shorter hospital stays than the control group(P<0.05).The NRS score of the observation group was lower than that of the control group(P<0.05).The observation group experienced a significantly lower incidence of postoperative complications than the control group(P<0.05).CONCLUSION Operating room nursing based on the ERAS concept significantly shortens the time to first ambulation,reduces the incidence of postoperative complications,and improves patient quality of life after laparoscopic hepatectomy.展开更多
Emergency ambulance services in the UK are tasked with providing pre-hospital patient care and clinical services with a target response time between call connect to on-scene attendance.In 2017,NHS England introduced f...Emergency ambulance services in the UK are tasked with providing pre-hospital patient care and clinical services with a target response time between call connect to on-scene attendance.In 2017,NHS England introduced four new response time categories based on patient needs.The most challenging is to be on-scene for a life-threatening situation within seven minutes of the call being connected when such calls are random in terms of time and place throughout a large territory.Recent evidence indicates emergency ambulance services regularly fall short of achieving the target ambulance response times set by the National Health Service(NHS).To achieve these targets,they need to undertake transformational change and apply statistical,operations research and artificial intelligence techniques in the form of five separate modules covering demand forecasting,plus locate,allocate,dispatch,monitoring and re-deployment of resources.These modules should be linked in real-time employing a data warehouse to minimise computational data and generate accurate,meaningful and timely decisions ensuring patients receive an appropriate and timely response.A simulation covering a limited geographical area,time and operational data concluded that this form of integration of the five modules provides accurate and timely data upon which to make decisions that effectively improve ambulance response times.展开更多
文摘BACKGROUND Traditional postoperative nursing methods implemented after laparoscopic hepatectomy often leads to slow patient recovery.As a new nursing mode,enhanced recovery after surgery(ERAS)has been widely used in the peri-and postoperative care of patients.However,its effects after laparoscopic hepatectomy remains unclear.AIM To explore the influence of nursing under the ERAS concept on time to first ambulation and complications after laparoscopic hepatectomy.METHODS Data from 119 patients,who underwent laparoscopic hepatectomy for various indications between January 2020 and March 2025,were divided into 2 groups according to nursing mode:Observation[nursing based on the ERAS concept(n=59)],and control[basic nursing(n=60)].Time to first ambulation,complications,length of hospital stay,and numerical rating scale(NRS)scores were compared between the groups.Statistical analysis was performed using SPSS version 26.0(IBM Corp.,Armonk,NY,United States).Differences with P<0.05 were considered statistically significant.RESULTS Findings indicated that after post-nursing intervention,the observation group experienced significantly sooner initial discharge times and shorter hospital stays than the control group(P<0.05).The NRS score of the observation group was lower than that of the control group(P<0.05).The observation group experienced a significantly lower incidence of postoperative complications than the control group(P<0.05).CONCLUSION Operating room nursing based on the ERAS concept significantly shortens the time to first ambulation,reduces the incidence of postoperative complications,and improves patient quality of life after laparoscopic hepatectomy.
文摘Emergency ambulance services in the UK are tasked with providing pre-hospital patient care and clinical services with a target response time between call connect to on-scene attendance.In 2017,NHS England introduced four new response time categories based on patient needs.The most challenging is to be on-scene for a life-threatening situation within seven minutes of the call being connected when such calls are random in terms of time and place throughout a large territory.Recent evidence indicates emergency ambulance services regularly fall short of achieving the target ambulance response times set by the National Health Service(NHS).To achieve these targets,they need to undertake transformational change and apply statistical,operations research and artificial intelligence techniques in the form of five separate modules covering demand forecasting,plus locate,allocate,dispatch,monitoring and re-deployment of resources.These modules should be linked in real-time employing a data warehouse to minimise computational data and generate accurate,meaningful and timely decisions ensuring patients receive an appropriate and timely response.A simulation covering a limited geographical area,time and operational data concluded that this form of integration of the five modules provides accurate and timely data upon which to make decisions that effectively improve ambulance response times.
