scholarly journals Quantifying Dynamic Flow of Emergency Department (ED) Patient Managements: A Multistate Model Approach

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Chung-Hsien Chaou ◽  
Te-Fa Chiu ◽  
Shin-Liang Pan ◽  
Amy Ming-Fang Yen ◽  
Shu-Hui Chang ◽  
...  
Keyword(s):  
Emergency Department ◽  
Patient Flow ◽  
Relative Rate ◽  
Influential Factors ◽  
Final State ◽  
Patient Movement ◽  
Movement Rates ◽  
Lengths Of Stay ◽  
Medical Issues ◽  
Important Time

Background. Emergency department (ED) crowding and prolonged lengths of stay continue to be important medical issues. It is difficult to apply traditional methods to analyze multiple streams of the ED patient management process simultaneously. The aim of this study was to develop a statistical model to delineate the dynamic patient flow within the ED and to analyze the effects of relevant factors on different patient movement rates. Methods. This study used a retrospective cohort available with electronic medical data. Important time points and relevant covariates of all patients between January and December 2013 were collected. A new five-state Markov model was constructed by an expert panel, including three intermediate states: triage, physician management, and observation room and two final states: admission and discharge. A day was further divided into four six-hour periods to evaluate dynamics of patient movement over time. Results. A total of 149,468 patient records were analyzed with a median total length of stay being 2.12 (interquartile range = 6.51) hours. The patient movement rates between states were estimated, and the effects of the age group and triage level on these movements were also measured. Patients with lower acuity go home more quickly (relative rate (RR): 1.891, 95% CI: 1.881–1.900) but have to wait longer for physicians (RR: 0.962, 95% CI: 0.956–0.967) and admission beds (RR: 0.673, 95% CI: 0.666–0.679). While older patients were seen more quickly by physicians (RR: 1.134, 95% CI: 1.131–1.139), they spent more time waiting for the final state (for admission RR: 0.830, 95% CI: 0.821–0.839; for discharge RR: 0.773, 95% CI: 0.769–0.776). Comparing the differences in patient movement rates over a 24-hour day revealed that patients wait longer before seen by physicians during the evening and that they usually move from the ED to admission afternoon. Predictive dynamic illustrations show that six hours after the patients’ entry, the probability of still in the ED system ranges from 28% in the evening to 38% in the morning. Conclusions. The five-state model well described the dynamic ED patient flow and analyzed the effects of relevant influential factors at different states. The model can be used in similar medical settings or incorporate different important covariates to develop individually tailored approaches for the improvement of efficiency within the health professions.

scholarly journals The Impact of a Concierge Medicine Model on Door to Doctor Time and Patient Flow in an Urban Emergency Department

2020 ◽  
Vol Volume 12 ◽  
pp. 13-18
Author(s):  
Asher L Mandel ◽  
Thomas Bove ◽  
Amisha D Parekh ◽  
Paris Datillo ◽  
Joseph Bove Jr ◽  
...  
Keyword(s):  
Emergency Department ◽  
Patient Flow ◽  
The Impact ◽  
Urban Emergency Department

Impact of 24/7 Onsite Emergency Radiology Staff Coverage on Emergency Department Workflow

2021 ◽  
pp. 084653712110238
Author(s):  
Francesco Macri ◽  
Bonnie T. Niu ◽  
Shannon Erdelyi ◽  
John R. Mayo ◽  
Faisal Khosa ◽  
...  
Keyword(s):  
Emergency Department ◽  
Major Trauma ◽  
Patient Flow ◽  
Interrupted Time Series ◽  
Trauma Patients ◽  
Linear Regression Models ◽  
High Acuity ◽  
Time Series Approach ◽  
Comparison Series ◽  
The Impact

Purpose: Assess the impact of 24/7/365 emergency trauma radiology (ETR) coverage on Emergency Department (ED) patient flow in an urban, quaternary-care teaching hospital. Methods: Patient ED visit and imaging information were extracted from the hospital patient care information system for 2008 to 2018. An interrupted time-series approach with a comparison group was used to study the impact of 24/7/365 ETR on average monthly ED length of stay (ED-LOS) and Emergency Physician to disposition time (EP-DISP). Linear regression models were fit with abrupt and permanent interrupts for 24/7/365 ETR, a coefficient for comparison series and a SARIMA error term; subgroup analyses were performed by patient arrival time, imaging type and chief complaint. Results: During the study period, there were 949,029 ED visits and 739,796 diagnostic tests. Following implementation of 24/7/365 coverage, we found a significant decrease in EP-DISP time for patients requiring only radiographs (-29 min;95%CI:-52,-6) and a significant increase in EP-DISP time for major trauma patients (46 min;95%CI:13,79). No significant change in patient throughput was observed during evening hours for any patient subgroup. For overnight patients, there was a reduction in EP-DISP for patients with symptoms consistent with stroke (-78 min;95%CI:-131,-24) and for high acuity patients who required imaging (-33 min;95%CI:-57,-10). Changes in ED-LOS followed a similar pattern. Conclusions: At our institution, 24/7/365 in-house ETR staff radiology coverage was associated with improved ED flow for patients requiring only radiographs and for overnight stroke and high acuity patients. Major trauma patients spent more time in the ED, perhaps reflecting the required multidisciplinary management.

627 Strategies for Reducing Emergency Department Lengths of Stay for Admitted Pediatric Burn Patients

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S169-S169
Author(s):  
Lisa M Shostrand ◽  
Brett C Hartman ◽  
Belinda Frazee ◽  
Dawn Daniels ◽  
Madeline Zieger
Keyword(s):  
Emergency Department ◽  
Gap Analysis ◽  
Burn Patients ◽  
Improvement Project ◽  
Burn Trauma ◽  
Charge Nurse ◽  
Lengths Of Stay ◽  
Burn Unit ◽  
Set Up ◽  
Trauma Activation

Abstract Introduction Various strategies to reduce emergency department (ED) lengths of stay (LOS) for admitted pediatric burn patients may be employed as a quality improvement project. Decreasing ED LOS may promote patient outcomes and reduce morbidity. Initial discussions were brought forth during trauma and burn multidisciplinary peer review rounds in March 2019 and have persisted to present day. Methods Several strategies, such as preparation of the burn unit staff within one hour of patient arrival in ED, notification to the burn unit by the burn attending of an incoming pediatric burn patient, allowing the PICU charge nurses or advisors to assist with room set up and admissions, and creating a checklist to assist PICU nurses and advisors in helping prepare for anticipating inpatient admissions. These strategies were designed and enforced in March/April 2019. In addition to these action plans, trauma activation alerts were added in December 2019 to the burn charge nurse phone for pediatric burn trauma one and trauma alerts for more expedient notifications. Finally, communication efforts between ED and burn leadership teams were conducted in June 2020 to help with additional mitigating of ED LOS, such as discussing the appropriateness of specialty consults while in the ED. Results Initial ED LOS was reduced from 209 minutes in March 1019 to 150 minutes in June 2019. Increased trends were noted in early 2020, with a peak at 244 minutes in July 2020. Additional interventions, such as trauma activation alerts and ED/Burn team communications, did not provide sustainable long-term reductions. Conclusions Recent strategies to reduce overall ED LOS trends have been beneficial, but not consistent, in sustaining downward trends. Action to perform a gap analysis to discover persistent barriers and to introduce additional structure, such as a burn trauma one algorithm, may provide stability to this metric.

scholarly journals 688 Rapid Implementation of Virtual Fracture Clinic During COVID 19 Reduces Both Face-To-Face Appointments and Facilitates Rapid Feedback and Education to Be Delivered to The Emergency Department

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
T Havenhand ◽  
L Hoggett ◽  
A Bhutta
Keyword(s):  
Emergency Department ◽  
Patient Flow ◽  
Prospective Data ◽  
Fracture Clinic ◽  
Face To Face ◽  
Return Rates ◽  
Acute Hospitals ◽  
Virtual Fracture Clinic ◽  
Improve Patient

Abstract Introduction COVID-19 has dictated a shift towards virtual clinics. Pennine Acute Hospitals NHS Trust serves over a million patients with a significant number of face-to-face fracture clinics. Introduction of a Virtual Fracture Clinic (VFC) reduces hospital return rates and improves patient experience. The referral data can be used to give immediate monthly feedback to the referring department to further improving patient flow. Method Prospective data was collected for all referrals to VFC during March 2020. Data included referral diagnosis, actual diagnosis, referrers grade, and final outcome. Results 630 referrals were made to VFC. 347 (55%) of those referrals were directly discharged without the need for physical consultation. Of these 114 (32%) were injuries which can be discharged by the Emergency Department with an advice leaflet using existing pathways. Of the remaining discharges 102 (29%) were query fractures or sprains; and 135 (39%) were minor fractures; which needed only advice via a letter and no face to face follow up. Conclusions Implementation of VFC leads to a decrease in physical appointments by 55% saving 347 face to face appointments. The new system has also facilitated effective audit of referrals in order to further improve patient flow from the Emergency Department via feedback mechanisms and education.

Simulation of a Hospital Disaster Plan: A Virtual, Live Exercise

2008 ◽  
Vol 23 (4) ◽  
pp. 346-353 ◽  
Author(s):  
Jeffrey M. Franc-Law ◽  
Michael Bullard ◽  
F. Della Corte
Keyword(s):  
Emergency Department ◽  
Patient Flow ◽  
Learning Experience ◽  
Significant Degree ◽  
Primary Objective ◽  
Simulated Patients ◽  
Disaster Plan ◽  
Actual Patient ◽  
Patient Database ◽  
Rate Limiting

AbstractIntroduction:Currently, there is no widely available method to evaluate an emergency department disaster plan. Creation of a standardized patient data- base and the use of a virtual, live exercise may lead to a standardized and reproducible method that can be used to evaluate a disaster plan.Purpose:A virtual, live exercise was designed with the primary objective of evaluating a hospital's emergency department disaster plan. Education and training of participants was a secondary goal.Methods:A database (disastermed.ca) of histories, physical examination findings, and laboratory results for 136 simulated patients was created using information derived from actual patient encounters.The patient database was used to perform a virtual, live exercise using a training version of the emergency department's information system software.Results:Several solutions to increase patient flow were demonstrated during the exercise. Conducting the exercise helped identify several faults in the hospital disaster plan, including outlining the important rate-limiting step. In addition, a significant degree of under-triage was demonstrated. Estimates of multiple markers of patient flow were identified and compared to Canadian guidelines. Most participants reported that the exercise was a valuable learning experience.Conclusions:A virtual, live exercise using the disastermed.ca patient database was an inexpensive method to evaluate the emergency department disaster plan. This included discovery of new approaches to managing patients, delineating the rate-limiting steps, and evaluating triage accuracy. Use of the patient timestamps has potential as a standardized international benchmark of hospital disaster plan efficacy. Participant satisfaction was high.

Quick Looks Into the Acute Abdomen- Findings from A 1 Year Audit of Asian Emergency Department Ct Scans

2021 ◽  
Author(s):  
Siang Hiong Goh ◽  
Calvin Yit-Kun Goh ◽  
Hong Choon Oh ◽  
Narayan Venkataraman ◽  
Ling Tiah
Keyword(s):  
Emergency Department ◽  
Abdominal Pain ◽  
Clinical Performance ◽  
Biliary Tract Disease ◽  
Renal Stones ◽  
Adverse Outcomes ◽  
Ct Scans ◽  
Lower Quadrant ◽  
Lengths Of Stay ◽  
The Common

Abstract BackgroundMuch of the literature regarding Emergency Department CT scan usage for abdominal pain has been in American and European settings, and less so in the rest of the world. We performed an audit for this in our Southeast Asian hospital to see how we compare with international data, also to glean some insights into optimising its use locally.Results – An anonymised de-identified electronic database of all ED patients had been set up since 2020 with the aim of capturing 10 years of ED retrospective data for audit of our clinical performance. From this master database, a subset of all CTAPs done in 2020 was created and then extracted for analysis. Costs, length of stay in the ED and wards, CT reports, disposal from ED, and other data were captured for study. A description was made of the common conditions found, with a subgroup analysis of the elderly, and disposal outcomes from the ED. Specific analysis was done for appendicitis using Mann-Whitney U tests. For 2020, 1860 patients (56% male, and ages 14 to 99 years) had ED CTAPs done. Top indications included right upper and lower quadrant pains, flank pains, persistent abdominal pain despite analgesia, and suspicion for intestinal obstruction. Acute appendicitis, biliary tract disease, renal stones, ovarian disease, and bowel disease were the common diagnoses. 16.2% of CTAPs revealed no abnormality. Malignancies were uncommon diagnoses. For the patients that were discharged from the ED after a negative CTAP, no patient returned within 72 hours nor were there any adverse outcomes. When analysed using Mann-Whitney U tests, patients who had ED CTAPs done for appendicitis had significantly faster time to CT and surgery than those with inpatient imaging, with lower inpatient costs and lengths of stay.Conclusion – CT scans in the ED for appendicitis patients reduces costs, time to surgery, and lengths of stay. Generally, ED CTAPs allows better siting and disposition of patients. Presence of RLQ pain increases the likelihood of a positive scan. Our negative scan rate of 16.2% is comparable to other studies. Protocols and senior inputs can improve accuracy of this important ED resource.

Accuracy of Computer Simulation to Predict Patient Flow during Mass-Casualty Incidents

2008 ◽  
Vol 23 (4) ◽  
pp. 354-360 ◽  
Author(s):  
Jeffrey M. Franc-Law ◽  
Micheal J. Bullard ◽  
F. Della Corte
Keyword(s):  
Emergency Department ◽  
Computer Simulation ◽  
Patient Care ◽  
Patient Flow ◽  
Emergency Department Patient ◽  
Simulation Software ◽  
Simulated Patients ◽  
Disaster Plan ◽  
Data Set ◽  
Patient Database

AbstractIntroduction:Although most hospitals have an emergency department disas- ter plan, most never have been implemented in a true disaster or been tested objectively. Computer simulation may be a useful tool to predict emergency department patient flow during a disaster.Purpose:The aim of this study was to compare the accuracy of a computer simulation in predicting emergency department patient flow during a masscasualty incident with that of a real-time, virtual, live exercise.Methods:History, physical examination findings, and laboratory results for 136 simulated patients were extracted from the disastermed.ca patient database as used as input into a computer simulation designed to represent the emergency department at the University of Alberta Hospital.The computer simulation was developed using a commercially available simulation software platform (2005, SimProcess, CACI Products, San Diego CA). Patient flow parameters were compared to a previous virtual, live exercise using the same data set.Results:Although results between the computer simulation and the live exercise appear similar, they differ statistically with respect to many patient benchmarks. There was a marked difference between the triage codes assigned during the live exercise and those from the patient database; however, this alone did not account for the differences between the patient groups. It is likely that novel approaches to patient care developed by the live exercise group, which are difficult to model by computer software, contributed to differences between the groups. Computer simulation was useful, however, in predicting how small changes to emergency department structure, such as adding staff or patient care areas, can influence patient flow.Conclusions:Computer simulation is helpful in defining the effects of changes to a hospital disaster plan. However, it cannot fully replace participant exercises. Rather, computer simulation and live exercises are complementary, and both may be useful for disaster plan evaluation.

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