OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies

PURPOSE: Overcrowding in emergency department (ED) is a concerning global problem and has been identified as a national crisis in some countries. Several emergency sorting systems designed successfully in the world. Launched in 2004, a group of branches in South African triage scale (SATS) developed. The effectiveness of the case sorting system of SATS was evaluated to reduce the patient's length of stay (LOS) and mortality rate within the ED at Suez Canal University Hospital. METHODS: The study was designed as an intervention study that included a systematic random sample of patients who presented to the ED in Suez Canal University Hospital. This study was implemented in three phases: pre-intervention phase, 115 patients were assessed by the traditional protocols; intervention phase, a structured training program was provided to the ED staff, including a workshop and lectures; and post-intervention phase, 230 patients were assessed by SATS. All the patients were retriaged 2 h later, calculating the LOS per patient and the mortality. Data was collected and entered using Microsoft Excel software. Collected data from the triage sheet were analyzed using the SPSS software program version 22.0. RESULTS: The LOS in the ED was about 183.78 min before the intervention; while after the training program and the application of SATS, it was reduced to 51.39 min. About 15.7% of the patients died before the intervention; however, after the intervention the ratio decreased to 10.7% deaths. CONCLUSION SATS is better at assessing patients without missing important data. Additionally, it resulted in a decrease in the LOS and reduction in the mortality rate compared to the traditional protocol.
Egypt ; Emergency Service, Hospital ; Humans ; Length of Stay ; South Africa ; Triage/methods*

China ; Deep Learning ; Emergency Service, Hospital/statistics & numerical data* ; Forecasting/methods* ; Humans ; Triage ; Weather

PURPOSE: Boarding is a common problem in the emergency department (ED) and is associated with poor health care and outcome. Imam Khomeini Hospital is the main healthcare center in Urmia, a metropolis in the northwest of Iran. Due to the overcrowding and high patient load, we aim to characterize the rate, cause and consequence of boarding in the ED of this center. METHODS: All medical records of patients who presented to the ED of Imam Khomeini Hospital from August 1, 2017 to August 1, 2018 were retrospectively analyzed. Patients with uncompleted records were excluded. Boarding was defined as the inability to transfer the admitted ED patients to a downstream ward in ≥2 h after the admission order. Demographic data, boarding rate, mortality and triage levels (1-5) assessed by emergency severity index were collected and analyzed. The first present time of patients was classified into 4 ranges as 0:00-5:59, 6:00-11:59, 12:00-17:59 and 18:00-23:59. Descriptive, parametric and non-parametric statistical tests were performed and the risk of boarding was determined by Pearson Chi-square test. RESULTS: Demographic data analysis showed that 941 (58.5%) male and 667 (41.5%) female, altogether 1608 patients were included in this study. Five patients (0.3%) died. The distribution of patients with the triage levels 1-5 was respectively 79 (4.9%), 1150 (71.5%), 374 (23.3%), 4 (0.2%) and 0 (0%). Most patients were of level 2. Only 75 (4.7%) patients required intensive care. The majority of patients (84.2%) were presented at weekdays. The maximum patient load was observed between 12:00-17:59. Of the 1608 patients, 340 (21.1%) experienced boarding within a mean admission time of 13.70 h. Among the 340-boarded patients, 20.1% belonged to surgery, 12.1% to orthopedics, 10.9% to neurosurgery and 10.3% to neurology. The boarding rate was higher in females, patients requiring intensive care and those with low triage levels. Compared with the non-boarded, the boarded patients had a higher mean age. CONCLUSION The boarding rate is higher in the older and female patients. Moreover, boarding is dependent on the downstream ward sections: patients requiring surgical management experience the maximum boarding rate.
Age Factors ; Chi-Square Distribution ; Cross-Sectional Studies ; Crowding ; Emergency Service, Hospital ; Female ; Hospital Mortality ; Hospitalization/statistics & numerical data* ; Humans ; Iran ; Length of Stay ; Male ; Patient Admission ; Retrospective Studies ; Risk Assessment/methods* ; Risk Factors ; Sex Factors ; Time Factors ; Triage

PURPOSE: The aim of this study was to identify the predictive validity of the Korean Triage and Acuity Scale (KTAS). METHODS: This methodological study used data from National Emergency Department Information System for 2016. The KTAS disposition and emergency treatment results for emergency patients aged 15 years and older were analyzed to evaluate its predictive validity through its sensitivity, specificity, positive predictive value, and negative predictive value. RESULTS: In case of death in the emergency department, or where the intensive care unit admission was considered an emergency, the sensitivity, specificity, positive predictive value, and negative predictive value of the KTAS were 0.916, 0.581, 0.097, and 0.993, respectively. In case of death in the emergency department, or where the intensive or non-intensive care unit admission was considered an emergency, the sensitivity, specificity, and positive predictive value, and negative predictive value were 0.700, 0.642, 0.391, and 0.867, respectively. CONCLUSION: The results of this study showed that the KTAS had high sensitivity but low specificity. It is necessary to constantly review and revise the KTAS level classification because it still results in a few errors of under and over-triage. Nevertheless, this study is meaningful in that it was an evaluation of the KTAS for the total cases of adult patients who sought help at regional and local emergency medical centers in 2016.
Adult ; Classification ; Emergencies ; Emergency Service, Hospital ; Emergency Treatment ; Humans ; Information Systems ; Intensive Care Units ; Methods ; Sensitivity and Specificity ; Triage

PURPOSE: To identify the prognostic factors that could influence survival and to compare prognoses of the patients with the number of the risk factors that might assist in the adequate management of hepatocellular carcinoma (HCC) patients with bone metastases that showed a heterogeneous range of survival. MATERIALS AND METHODS: A total of 41 patients, treated with radiotherapy (RT) for bone metastases from HCC from 2014 to 2017, were enrolled retrospectively. Survival was determined by the Kaplan–Meier method from the start of the RT for metastatic bone lesions. Pre-RT clinical features were evaluated and their influences on survival were analyzed. The significant factors were considered to compare survivals according to the number of prognostic factors. RESULTS: Median follow-up was 6.0 months (range, 0.5 to 47.0 months). The median overall survival was 6.5 months, and the 1-year and 2-year survival rates were 35.5% and 13.5%, respectively. Multivariate analysis revealed that the Child-Pugh class A group, alpha-fetoprotein increased more than 30 ng/mL, and HCC size of more than 5 cm were associated with worse overall survival. The median survivals in HCC with none, 1, 2, and 3 of the aforementioned risk factors were 19.5, 9.0, 2.5, and 1.0 months, respectively (p < 0.05). CONCLUSION: Our results show that the overall survivals were significantly different according to the number of the risk factors among HCC patients with bone metastases who showed various lengths of survival.
alpha-Fetoproteins ; Carcinoma, Hepatocellular ; Follow-Up Studies ; Humans ; Methods ; Multivariate Analysis ; Neoplasm Metastasis ; Prognosis ; Radiotherapy ; Retrospective Studies ; Risk Factors ; Survival Rate ; Triage

INTRODUCTIONThis study aimed to determine the usefulness and validity of the triaging scale used in our emergency department (ED) by analysing its association with surrogate clinical outcome measures of severity consisting of hospitalisation rate, intensive care unit (ICU) admission, length of ED stay, predictive value for admission and length of hospitalisation.

METHODSA retrospective observational study was conducted of the performance markers of the Singapore Paediatric Triage Scale (SPTS) to identify children who needed immediate and greater care. All children triaged and attended to at the paediatric ED at KK Women's and Children's Hospital, Singapore, from 1 January 2014 to 31 December 2014 were included. Data was retrieved from the Online Paediatric Emergency Care system, which is used for patients' care from initial triaging to final disposition.

RESULTSAmong 172,933 ED attendances, acuity levels 1, 2 plus, 2 and 3 were seen in 2.3%, 26.4%, 13.5% and 57.8% of patients, respectively. For admissions, triage acuity level 1 had a strong positive predictive value (79.5%), while triage acuity level 3 had a strong negative predictive value (93.7%). Fewer patients with triage acuity level 3 (6.3%) were admitted as compared to those with triage acuity level 1 (79.5%) (p < 0.001). There was a correlation between triage level and length of ED stay.

CONCLUSIONThe SPTS is a valid tool for use in the paediatric emergency setting. This was supported by strong performance in important patient outcomes, such as admission to hospital, ICU admissions and length of ED stay.

Child ; Child, Preschool ; Critical Care ; statistics & numerical data ; Emergency Service, Hospital ; Female ; Hospitalization ; Hospitals, Pediatric ; Humans ; Infant ; Intensive Care Units ; Length of Stay ; Male ; Patient Admission ; Pediatrics ; methods ; Predictive Value of Tests ; Retrospective Studies ; Singapore ; Time Factors ; Treatment Outcome ; Triage ; methods

PURPOSE: This study aimed to develop a triage competency scale (TCS) for emergency nurses, and to evaluate its validity and reliability. METHODS: Preliminary items were derived based on the attributes and indicators elicited from a concept analysis study on triage competency. Ten experts assessed whether the preliminary items belonged to the construct factor and determined the appropriateness of each item. A revised questionnaire was administered to 250 nurses in 18 emergency departments to evaluate the reliability and validity of the scale. Data analysis comprised item analysis, confirmatory factor analysis, contrasted group validity, and criterion-related validity, including criterion-related validity of the problem solving method using video scenarios. RESULTS: The item analysis and confirmatory factor analysis yielded 5 factors with 30 items; the fit index of the derived model was good (χ2/df =2.46, Root Mean squared Residual=.04, Root Mean Squared Error of Approximation=.08). Additionally, contrasted group validity was assessed. Participants were classified as novice, advanced beginner, competent, and proficient, and significant differences were observed in the mean score for each group (F=6.02, p=.001). With reference to criterion-related validity, there was a positive correlation between scores on the TCS and the Clinical Decision Making in Nursing Scale (r=.48, p < .001). Further, the total score on the problem solving method using video scenarios was positively correlated with the TCS score (r=.13, p=.04). The Cronbach's α of the final model was .91. CONCLUSION: Our TCS is useful for the objective assessment of triage competency among emergency nurses and the evaluation of triage education programs.
Clinical Competence ; Clinical Decision-Making ; Education ; Emergencies* ; Emergency Nursing ; Emergency Service, Hospital ; Factor Analysis, Statistical ; Methods ; Nursing ; Problem Solving ; Reproducibility of Results ; Statistics as Topic ; Triage*

INTRODUCTION: Patients referred for chest pain from primary care have increased, along with demand for outpatient cardiology consultations. We evaluated 'Triage Protocol' that implements standardised diagnostic testing prior to patients' first cardiology consultation. MATERIALS AND METHODS: Under the 'Triage Protocol', patients referred for chest pain were pretriaged using a standardised algorithm and subsequently referred for relevant functional diagnostic cardiology tests before their initial cardiology consultation. At the initial cardiology consultation scheduled by the primary care provider, test results were reviewed. A total of 522 triage patients (mean age 55 ± 13, male 53%) were frequency-matched by age, gender and risk cohort to 289 control patients (mean age: 56 ± 11, male: 52%). Pretest risk of coronary artery disease was defined according to a Modified Duke Clinical Score (MDCS) as low (<10), intermediate (10-20) and high (>20). The primary outcome was time from referral to diagnosis (days). Secondary outcomes were total visits, discharge rate at first consultation, patient cost and adverse cardiac outcomes. RESULTS: The 'Triage Protocol' resulted in shorter times from referral to diagnosis (46 vs 131 days; <0.0001) and fewer total visits (2.4 vs 3.0; <0.0001). However, triage patients in low-risk groups experienced higher costs due to increased testing (S$421 vs S$357, = 0.003). Adverse cardiac event rates under the 'Triage Protocol' indicated no compromise to patient safety (triage vs control: 0.57% vs 0.35%; = 1.000). CONCLUSION By implementing diagnostic cardiac testing prior to patients' first specialist consultation, the 'Triage Protocol' expedited diagnosis and reduced subsequent visits across all risk groups in ambulatory chest pain patients.
Algorithms ; Cardiology Service, Hospital ; Chest Pain ; therapy ; Clinical Protocols ; Female ; Humans ; Male ; Middle Aged ; Primary Health Care ; Treatment Outcome ; Triage ; methods

PURPOSE: Altered mental status is common to alcohol intoxicated patients, resulting in difficulties to perform detailed physical examination and history taking. With this condition, the development of appropriate tools for evaluation was required. This study was conducted to investigate a better method for predicting the prognosis among alcohol intoxicated patients in the emergency department by modifying the Korean Triage Acuity Scale (KTAS). METHODS: We retrospectively reviewed the medical records of 1,155 alcohol intoxicated patients who presented to the ED between January and December of 2013. The correlation between admission and demographical characteristics of patients was analyzed. We applied the clinical values to KTAS (overdose category) and modified KTAS (alcoholic intoxication category). The efficiency of two triage methods was compared by using the receiver operating characteristic (ROC) curve analysis. RESULTS: Among these 1,155 patients, 201 were admitted and 954 were discharged. The sensitivity and specificity of the overdose category were 0.736 and 0.623, respectively. Those of the alcoholic intoxication category were 0.647 and 0.979, respectively. The area under ROC curves for overdose category and alcoholic intoxication category were 0.679±0.020 and 0.813±0.021, respectively (95% confidence interval, p<0.001). CONCLUSION: This study showed that the sensitivities of the overdose category and the alcoholic intoxication category were similar. However, the specificity of the alcoholic intoxication category was higher than that of the overdose category. Therefore, the alcoholic intoxication category was superior to the overdose category in predicting the prognosis among alcohol intoxicated patients.
Alcoholic Intoxication* ; Alcoholics* ; Emergencies* ; Emergency Service, Hospital* ; Humans ; Medical Records ; Methods* ; Physical Examination ; Prognosis ; Retrospective Studies ; ROC Curve ; Sensitivity and Specificity ; Triage*