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 ◽  
...  

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.

2021 ◽  
Author(s):  
Xiaoqing Li ◽  
Dan Tian ◽  
Weihua Li ◽  
Bin Dong ◽  
Hansong Wang ◽  
...  

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.


2020 ◽  
Author(s):  
Saeed Arabi ◽  
Abdullah O Almahayni ◽  
Abdulrahman Alomair ◽  
Emad M Masuadi ◽  
Moussab Damlaj ◽  
...  

Abstract Background: Refractoriness to platelet transfusion is an understudied phenomenon in critically ill patients. Our objective was to evaluate the prevalence, risk factors and clinical outcomes of platelet refractoriness among patients in a tertiary-care intensive care unit (ICU).Methods: A retrospective cohort study included all patients (age >14 years) who were admitted to a tertiary-care medical-surgical ICU between 2011 and 2016 and received ≥2 platelet transfusions during their ICU stay. We calculated platelet increment (PI) and corrected count increment (CCI). Results: A total of 267 patients were enrolled in the study, collectively receiving 1357 transfusions with a median of 3 (interquartile range: 2-6) transfusions per patient. The median pretransfusion platelet count was 31.0 x109/L (interquartile range: 16.0, 50.0) with a median PI of 6 x109/L (interquartile range: -5, 24). The prevalence of platelet transfusion refractoriness was 54.8% based on PI and 57.0% based on CCI. The two methods had excellent concordance in diagnosing refractoriness (kappa coefficient: 0.939). Refractoriness was more common in patients admitted by Hepatology, Liver Transplant, and Hematology services (69.7%, 69.2%, and 55.6%, respectively). On multivariable logistic regression, younger age was the only significant predictor of refractoriness (odds ratio per year increment: 0.975, 95% CI: 0.951-0.999). Finally, refractoriness was associated with increased length of stay in the ICU (p=0.02), but not with mortality.Conclusions: We demonstrated excellent concordance between PI and CCI for the diagnosis of platelet transfusion refractoriness. Platelet transfusion refractoriness was highly (>50%) prevalent in critically ill patients. However, it was not associated with increased mortality.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Saeed Arabi ◽  
Abdullah O. Almahayni ◽  
Abdulrahman A. Alomair ◽  
Emad M. Masuadi ◽  
Moussab Damlaj ◽  
...  

Background. Refractoriness to platelet transfusion is an understudied phenomenon in critically ill patients. Our objective was to evaluate the prevalence, risk factors, and clinical outcomes of platelet refractoriness among patients in a tertiary-care intensive care unit (ICU). Methods. A retrospective cohort study included all patients (age >14 years) who were admitted to a tertiary-care medical-surgical ICU between 2011 and 2016 and received ≥2 platelet transfusions during their ICU stay. We calculated platelet increment (PI) and corrected count increment (CCI). Results. A total of 267 patients were enrolled in the study, collectively receiving 1357 transfusions with a median of 4.0 (interquartile range: 2.0, 6.0) transfusions per patient. The median pretransfusion platelet count was 31000.0 × 106/L (interquartile range: 16000.0, 50000.0). The median PI was 6000 × 106/L. The prevalence of platelet transfusion refractoriness was 54.8% based on PI < 10000 × 106/L and 57.0% based on CCI <5000. Patients admitted under hepatology/liver transplant had the highest rates of platelet refractoriness (69.6%), while those under general surgery had the lowest rate (43.2%). Younger age, nontrauma admission, and larger spleen size were associated with platelet refractoriness. Finally, refractoriness was associated with increased length of stay in the ICU ( p  = 0.02), but not with mortality. Conclusions. Platelet transfusion refractoriness was highly (>50%) prevalent in ICU patients. However, it was not associated with increased mortality.


BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e029801
Author(s):  
Nienke Doreen Zinger ◽  
Stig Nikolaj Blomberg ◽  
Freddy Lippert ◽  
Helle Collatz Christensen

ObjectivesTo keep healthcare systems sustainable for future demands, many countries are developing a centralised telephone line for out-of-hours primary care services. To increase the quality of such services, more information is needed on factors that influence caller satisfaction. The aim of this study was to identify demographic and call-related characteristics that are associated with the patient satisfaction of callers to a medical helpline in Denmark.DesignRetrospective cohort study on patient registry data and questionnaire results.SettingNon-emergency medical helpline in the Capital Region of Denmark.ParticipantsA random sample of 30 402 callers to the medical helpline between May 2016 and May 2018.Primary and secondary outcome measuresResponses of a satisfaction questionnaire were linked to demographic and call-related dispatch data. Associations between the characteristics were analysed with multivariable logistic regression analysis with satisfaction as the dependent variable. A subgroup analysis was performed on callers for children aged between 0 and 4 years.ResultsOf the 30 402 analysed callers, 73.0% were satisfied with the medical helpline. Satisfaction was associated with calling for a somatic injury (OR: 1.96, 95% CI: 1.72 to 2.23), receiving a face-to-face consultation (OR: 2.27, 95% CI: 2.04 to 2.50) and a waiting time less than 10 min (OR: 1.82, 95% CI: 1.56 to 2.08). Callers for a 0-year to 4-year-old patient were more likely to be satisfied when they called for a somatic illness or received a telephone consultation, compared with the rest of the population (p<0.0001).ConclusionCallers were in general satisfied with the medical helpline. Satisfaction was associated with reason for encounter, triage response and waiting time. People calling for 0-year to 4-year-old patients were, compared with the rest of the population, more frequently satisfied when they called for a somatic illness or received a telephone consultation.


2019 ◽  
Vol 3 (s1) ◽  
pp. 141-141
Author(s):  
Michelle Yun ◽  
Manyao Zhang ◽  
Alan Wu ◽  
Natasha Basma ◽  
Zachary Grinspan

OBJECTIVES/SPECIFIC AIMS: Using national Medicaid claims, this retrospective cohort study aims to compare the outcomes of levetiracetam (LEV) versus phenobarbital (PHB) as initial monotherapy in infants with epilepsy aged one month to one year. We primarily analyzed health services outcomes, as follows: (1) Emergency Department (ED) visits: proportion of those with at least 1 ED visit, time to first ED visit, total number of ED visits, proportion leading to inpatient admission (2) Inpatient Admissions: proportion of those with at least 1 admission, time to first admission, total number of inpatient admissions, total length of stay (3) Treatment discontinuation: proportion of those who discontinued medication, time to discontinuation, proportion of those with prescription of second antiepileptic drug (AED) (4) Cost: total cost at 1 year from first prescription. METHODS/STUDY POPULATION: The project is a retrospective cohort study utilizing Medicaid claims from 2009-2012 from all states and DC. Inclusion criteria were: (1) Epilepsy diagnosis (ICD9 345.x) at age 1 month to 1 year (2) 1 year of continuous Medicaid enrollment Exclusion criteria were: (1) Neither LEV nor PHB monotherapy as initial treatment (2) Neither LEV nor PHB prescription within 45 days of epilepsy diagnosis (3) Less than 1 year of follow-up after first LEV or PHB prescription (4) Infantile Spasms diagnosis (5) Brain Surgery (6) Death within 1 year of follow-up Using R for statistical analysis, we analyzed outcomes including ED visits, inpatient admissions, treatment discontinuation, and total cost. In this abstract, we present our preliminary bivariate analysis. RESULTS/ANTICIPATED RESULTS: Demographics and Etiology: Compared to infants prescribed PHB (n = 1954), infants prescribed LEV (n = 1248) were older (median 6 months [IQR 3-9] vs 3[2-6]; p < 0.001), more likely to be white (44.2% vs 38.9%; p < 0.05) and not Hispanic (63.5% vs 58.9%; p<0.05). There were also important differences in epilepsy etiologies (p < 0.05). For example, infants prescribed LEV were more likely to have a diagnosis of tuberous sclerosis (1% vs 0.15%) or traumatic brain injury (12.8% vs 0.56%). Health Services Outcomes: After 1 year, infants prescribed LEV had more ED visits (2 [0-4] vs 1 [0-3]; p < 0.001) but shorter inpatient length of stay when admitted (3 days [2-5] vs 3 [2-6]; p < 0.001). They were less likely to discontinue the medication (46.6% vs 64.3%; p<0.001) but more likely to have a second AED prescription (53.3% vs 43.4%; p < 0.001). Other outcomes, including total cost, were similar. DISCUSSION/SIGNIFICANCE OF IMPACT: This preliminary analysis suggests that the healthcare trajectory of infants treated with LEV and PHB differ in complex ways. In ongoing work, we are conducting a multivariable comparative effectiveness analysis of LEV versus PHB using propensity score weighting to account for observable selection bias and multiple imputation to account for missing data.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246183
Author(s):  
Lei Zhang ◽  
Wenjuan Zhai ◽  
Lihong Yang ◽  
Chunhua Sun ◽  
Ye Pan ◽  
...  

Purpose To introduce a modified frontalis muscle (FM) flap for use in FM flap advancement surgery and compare it with the conventional flap for correcting severe congenital ptosis. Methods This retrospective cohort study included 200 patients (278 eyes) with severe congenital ptosis treated with FM flap advancement at Tianjin Eye Hospital from April 2018 to October 2019. The patients were divided into two groups: 100 patients (138 eyes) in the conventional group and 100 patients (140 eyes) in the modified group. The success and complication rates were evaluated. Results The final success rate was 77.5% (107/138) in the conventional group and 90.0% (126/140) in the modified group (p = 0.005). Undercorrection was observed in 31 eyes (22.5%) in the conventional group and 14 eyes (10%) in the modified group (p = 0.005). In the conventional group, angular deformity of the upper eyelid was observed in 29 eyes (21.0%), FM paralysis in 11 (8.0%), frontal hypoesthesia in 10 (7.2%), severe hematoma in 12 (8.7%), and exposure keratitis in 8 (5.8%); these complications were not observed in the modified group (p <0.001, p <0.001, p = 0.004, p <0.001, p = 0.011, respectively). There were no cases of overcorrection, entropion or ectropion in either group. Conclusion Compared with the conventional FM flap, the modified FM flap in this study yielded a higher success rate with a clear field of vision, mild trauma, and few complications. This technique is simple and convenient for correcting severe congenital ptosis.


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