scholarly journals Artificial Intelligence-Assisted Reduction in Patients’ Waiting Time for Outpatient Procedures: A Retrospective Cohort Study

2021 ◽  
Author(s):  
Xiaoqing Li ◽  
Dan Tian ◽  
Weihua Li ◽  
Bin Dong ◽  
Hansong Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cohort Study ◽  
Waiting Time ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Laboratory Tests ◽  
Medical Center ◽  
Statistical Significance ◽  
Outpatient Service ◽  
Conventional Group

Abstract Background: Many studies suggest that patient satisfaction is significantly negatively correlated with waiting time. A well-designed healthcare system should not keep patients waiting too long for appointment and consultation. However, in China, patients spend notable time waiting, and the actual time spent on diagnosis and treatment in the consulting room is comparatively less.Methods: We developed an artificial intelligence (AI)-assisted module and name it XIAO YI. It could help outpatients automatically order imaging examinations or laboratory tests based on their chief complaints. Thus, outpatients could get examined or tested before they went to see the doctor. People who saw a doctor in the traditional way were assigned to the conventional group, and those who used XIAO YI were assigned to the AI-assisted group. We conducted a retrospective cohort study that used data from HIS of Shanghai Children’s Medical Center for the period of August 1, 2019 to January 31, 2020. Propensity score matching was used to balance the confounding factor between the two groups. And waiting time was defined as the time from registration to preparation for laboratory tests or imaging examinations. The total cost included the registration fee, test fee, examination fee, and drug fee. We used Wilcoxon rank-sum test to compare the differences in time and cost between the AI-assisted group and the conventional group. The statistical significance level was set at 0.05 for two sides.Results: 12,342 visits were recruited, consisting of 6,171 visits in the conventional group and 6,171 visits in the AI-assisted group. The median waiting time was 0.38 (interquartile range: 0.20, 1.33) hours for the AI-assisted group compared with 1.97 (0.76, 3.48) hours for the conventional group (p < 0.05).Conclusions: Using XIAO YI can significantly reduce the waiting time of patients, and thus, improve the outpatient service process of hospitals.

scholarly journals Artificial intelligence-assisted reduction in patients’ waiting time for outpatient process: a retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiaoqing Li ◽  
Dan Tian ◽  
Weihua Li ◽  
Bin Dong ◽  
Hansong Wang ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cohort Study ◽  
Waiting Time ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Laboratory Tests ◽  
Outpatient Service ◽  
Interquartile Range ◽  
Conventional Group ◽  
Total Cost

Abstract Background Many studies suggest that patient satisfaction is significantly negatively correlated with the waiting time. A well-designed healthcare system should not keep patients waiting too long for an appointment and consultation. However, in China, patients spend notable time waiting, and the actual time spent on diagnosis and treatment in the consulting room is comparatively less. Methods We developed an artificial intelligence (AI)-assisted module and name it XIAO YI. It could help outpatients automatically order imaging examinations or laboratory tests based on their chief complaints. Thus, outpatients could get examined or tested before they went to see the doctor. People who saw the doctor in the traditional way were allocated to the conventional group, and those who used XIAO YI were assigned to the AI-assisted group. We conducted a retrospective cohort study from August 1, 2019 to January 31, 2020. Propensity score matching was used to balance the confounding factor between the two groups. And waiting time was defined as the time from registration to preparation for laboratory tests or imaging examinations. The total cost included the registration fee, test fee, examination fee, and drug fee. We used Wilcoxon rank-sum test to compare the differences in time and cost. The statistical significance level was set at 0.05 for two sides. Results Twelve thousand and three hundred forty-two visits were recruited, consisting of 6171 visits in the conventional group and 6171 visits in the AI-assisted group. The median waiting time was 0.38 (interquartile range: 0.20, 1.33) hours for the AI-assisted group compared with 1.97 (0.76, 3.48) hours for the conventional group (p < 0.05). The total cost was 335.97 (interquartile range: 244.80, 437.60) CNY (Chinese Yuan) for the AI-assisted group and 364.58 (249.70, 497.76) CNY for the conventional group (p < 0.05). Conclusions Using XIAO YI can significantly reduce the waiting time of patients, and thus, improve the outpatient service process of hospitals.

scholarly journals Cerclage Location and Gestational Age at Delivery

2019 ◽  
Vol 09 (02) ◽  
pp. e195-e199
Author(s):  
Fatima Estrada ◽  
Scarlett Karakash ◽  
Terry SeeToe ◽  
Jeremy Weedon ◽  
Howard Minkoff
Keyword(s):  
Logistic Regression ◽  
Cohort Study ◽  
Gestational Age ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Medical Center ◽  
Statistical Significance ◽  
General Linear Model ◽  
Cervical Length ◽  
Gestational Age At Delivery

Objective Multiple authors have suggested cerclage position is a determinant of “success.” We assessed the interaction between cervical length (CL), cerclage height (cerH), proximal residual length (PRL), gestational age at delivery, and rate of delivery ≤ 34 weeks, in this study. Study Design Present study is a retrospective cohort study of all cerclages placed at Maimonides Medical Center from 2006 to 2016. Outcomes: gestational age at delivery and delivery before 34 weeks; predictors: PRL, cerH, CL; and indications for cerclage: history (Hx), physical exam (PE), and ultrasound (US) indicated cerclage. A general linear model was used to predict power-transformed age at delivery from cerH, CL, and indication for cerclage. Subanalyses by indication were conducted. Logistic regression was used for delivery ≤ 34 weeks. Results The cerH by indication did not reach statistical significance (p = 0.090). When stratified by indications, the effect of cerH on age at delivery was apparent for Hx (adjusted R 2 = 0.18, p < 0.001) and PE (adjusted R 2 = 0.43, p = 0.004) cerclages but not for US cerclages (adjusted R 2 = 0.08, p = 0.206). Logistic regression predicting delivery ≤ 34 weeks (n = 29) produced similar results. Conclusions For Hx and PE indicated cerclages, the location of the stitch may influence the timing of delivery. Specifically, the higher the cerclage, the more advanced the gestational age at delivery.

scholarly journals General versus regional anaesthesia for caesarean section indicated for acute foetal distress: a retrospective cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Junette Arlette Mbengono Metogo ◽  
Theophile Njamen Nana ◽  
Brian Ajong Ngongheh ◽  
Emelinda Berinyuy Nyuydzefon ◽  
Christoph Akazong Adjahoung ◽  
...  
Keyword(s):  
Cohort Study ◽  
Pregnant Women ◽  
Retrospective Cohort Study ◽  
Medical Records ◽  
Regional Anaesthesia ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Neonatal Resuscitation ◽  
Maternal Outcomes ◽  
Foetal Distress

Abstract Background Acute foetal distress (AFD) is a life-threatening foetal condition complicating 2% of all pregnancies and accounting for 8.9% of caesarean sections (CS) especially in developing nations. Despite the severity of the problem, no evidence exists as to the safest anaesthetic technique for the mother and foetus couple undergoing CS for AFD. We aimed to compare general anaesthesia (GA) versus regional (spinal and epidural) anaesthesia in terms of their perioperative maternal and foetal outcomes. Methods We carried out a retrospective cohort study by reviewing the medical records of all women who underwent CS indicated for AFD between 2015 to 2018 at the Douala General Hospital, Cameroon. Medical records of neonates were also reviewed. We sought to investigate the association between GA, and regional anaesthesia administered during CS for AFD and foetal and maternal outcomes. The threshold of statistical significance was set at 0.05. Results We enrolled the medical records of 117 pregnant women who underwent CS indicated for AFD. Their mean age and mean gestational age were 30.5 ± 4.8 years and 40 weeks respectively. Eighty-three (70.9%), 29 (24.8%) and 05 (4.3%) pregnant women underwent CS under SA, GA and EA respectively. Neonates delivered by CS under GA were more likely to have a significantly low APGAR score at both the 1st (RR = 1.93, p = 0.014) and third-minute (RR = 2.52, p = 0.012) and to be resuscitated at birth (RR = 2.15, p = 0.015). Past CS, FHR pattern on CTG didn’t affect these results in multivariate analysis. Adverse maternal outcomes are shown to be higher following SA when compared to GA. Conclusion The study infers an association between CS performed for AFD under GA and foetal morbidity. This, however, failed to translate into a difference in perinatal mortality when comparing GA vs RA. This finding does not discount the role of GA, but we emphasize the need for specific precautions like adequate anticipation for neonatal resuscitation to reduce neonatal complications associated with CS performed for AFD under GA.

scholarly journals Association of patient-to-emergency department staff ratio with the incidence of cardiac arrest: A retrospective cohort study

2021 ◽  
Keyword(s):  
Emergency Department ◽  
Cardiac Arrest ◽  
Cohort Study ◽  
Length Of Stay ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Medical Center ◽  
Occupancy Rate ◽  
Number Of Patients ◽  
Ed Overcrowding

Background: Emergency department (ED) overcrowding and overuse are global healthcare problems. Despite that substantial pieces of literature have explored quality parameters to monitor the patients’ safety and quality of care in the ED, to the best of our knowledge, no reasonable patient-to-ED staff ratios were established. Objectives: This study aimed to find the association between unexpected emergency department cardiac arrest (EDCA) and the patient-to-ED staff ratio. Methods: A retrospective cohort study was conducted in a medical center in Taiwan. Non-trauma patients (age > 18) who visited the ED from January 1, 2016 to November 30, 2018 were included. The total number of patients in ED, number of patients waiting for boarding, length of stay over 48 hours, and physician/nurse number in ED were collected and analyzed. The primary outcome was the association of each parameter with the incidence of EDCA. Results: A total of 508 patients were included. The total number of patients in ED ( > 361, RR: 1.54; 95% CI {1.239-1.917}), ED occupancy rate (> 280, RR: 1.54; 95% CI {1.245-1.898}), ED bed occupancy rate (> 184, RR: 1.63; 95% CI {1.308-2.034}), number of patients waiting for boarding (> 134, RR: 1.45; 95% CI {1.164-1.805}), number of patients in ED with length of stay over 48 hours (> 36, RR: 1.27; 95% CI {1.029-1.558}) and patient-to-nurse ratio (> 8.5, adjusted RR: 1.33; 95% CI {1.054-1.672}) had significant associations with higher incidence of EDCA. However, the patient-to-physician ratio was not associated with EDCA incidence. Discussions: Regarding loading parameters, the patient-to-nurse ratio is more representative than the patient-to-physician ratio as regards association with higher EDCA incidence. Conclusions: A higher patient-to-nurse ratio (> 8.5) was associated with an increment in the incidence of EDCA. Our findings provide a basis for setting different thresholds for different ED settings to adjust ED staff and develop individually tailored approaches corresponding to the level of ED overcrowding.

scholarly journals Telehealth Use by Age and Race at a Single Academic Medical Center During the COVID-19 Pandemic: Retrospective Cohort Study (Preprint)

2020 ◽  
Author(s):  
Jennifer P Stevens ◽  
Oren Mechanic ◽  
Lawrence Markson ◽  
Ashley O'Donoghue ◽  
Alexa B Kimball
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Health Care Disparities ◽  
Medical Center ◽  
Cohort Analysis ◽  
Academic Medical Center ◽  
Race And Gender ◽  
Asian Patients ◽  
Academic Medical

BACKGROUND During the COVID-19 pandemic, many ambulatory clinics transitioned to telehealth, but it remains unknown how this may have exacerbated inequitable access to care. OBJECTIVE Given the potential barriers faced by different populations, we investigated whether telehealth use is consistent and equitable across age, race, and gender. METHODS Our retrospective cohort study of outpatient visits was conducted between March 2 and June 10, 2020, compared with the same time period in 2019, at a single academic health center in Boston, Massachusetts. Visits were divided into in-person visits and telehealth visits and then compared by racial designation, gender, and age. RESULTS At our academic medical center, using a retrospective cohort analysis of ambulatory care delivered between March 2 and June 10, 2020, we found that over half (57.6%) of all visits were telehealth visits, and both Black and White patients accessed telehealth more than Asian patients. CONCLUSIONS Our findings indicate that the rapid implementation of telehealth does not follow prior patterns of health care disparities.

scholarly journals Secondary erythrocytosis following drugs used in rifampicin/multidrug-resistant tuberculosis: a retrospective cohort study

2021 ◽  
Vol 8 (1) ◽  
pp. e001064
Author(s):  
Sirak Tesfamariam ◽  
Amon Solomon Ghebrenegus ◽  
Henok Woldu ◽  
Ephrem Fisseha ◽  
Gebremeskel Belai ◽  
...  
Keyword(s):  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Statistical Significance ◽  
Multidrug Resistant ◽  
Hospital Data ◽  
Resistant Tuberculosis ◽  
Multidrug Resistant Tuberculosis ◽  
Mdr Tb ◽  
Time To Onset

BackgroundMultidrug-resistant tuberculosis (MDR-TB) drugs have never been associated with erythrocytosis. In Eritrea, however, several cases of incident erythrocytosis had been observed in the MDR-TB hospital. This study was aimed at exploring the association between MDR-TB drugs and secondary erythrocytosis, characterising the cases, and identifying other possible risk factors.MethodsA retrospective cohort study was conducted in Merhano National Referral MDR-TB hospital. Data were extracted from physically available clinical cards and laboratory results collected longitudinally between 23 June 2011 and 17 January 2021. Initially, univariate descriptive statistics (frequency, mean (SD), median (IQR) and range) were used as appropriate. Then, χ2 or Fisher χ2 test, and bivariate and/or multivariate Cox proportional hazard model were used to identify the predictors of incident erythrocytosis. All statistical analyses were conducted using R, and a two-sided alpha 0.05 was used to determine the statistical significance.ResultsA total of 257 patients’ medical cards were screened, and 219 were eligible for further analysis. The median age of the patients was 38 years (range: 13–90 years) and 54.8% were males. During the follow-up time, 31 (14.2%) patients developed secondary erythrocytosis yielding an incidence rate of 7.8 cases per 1000 person-months. On average, the median time to onset of the event was found to be 5-months (range: 1–24 months). Males were more likely to develop the event than females (adjusted HR=7.13, 95% CI=1.66 to 30.53), and as body weight increases by 1 kg, the likelihood of developing secondary erythrocytosis was found to increase by 7% (adjusted HR=1.07, 95% CI=1.03 to 1.10). Moreover, all cases of secondary erythrocytosis were found to be possibly associated with the MDR-TB drugs.ConclusionThe authors hypothesised that the incident erythrocytosis is possibly be associated with MDR-TB drugs, and further studies are required to substantiate this finding.

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