Improving efficiencies in a hospital-based hematology outpatient service.

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 165-165
Author(s):  
Brittany A. Rask ◽  
Steven R. Zeldenrust ◽  
Jessica Brandt ◽  
Heather Hagan ◽  
Elizabeth Witty ◽  
...  

165 Background: The Hematology Hospital Outpatient service at Rochester Methodist Hospital provides ambulatory outpatient care to patients who would normally be hospitalized on our inpatient services due to cytopenias and need for infusion/transfusion support. A quality project was conducted to streamline our process and decrease wait times. Methods: This project was a part of a Mayo Lean Collaborative initiative to increase customer satisfaction and eliminate waste. The first step was to collect baseline measurements to capture the non-value added waiting time of our entire outpatient process. These benchmark times were collected from 65 patients over 4 days. We evaluated these wait times to identify gaps in care and factors contributing to delays in our process. Data collected "before and after" each implementation phase determined if the change was beneficial. Results: Through our data collection, one major area of opportunity we identified was the wait time for CBC results. At baseline, patients were waiting in a room for 61.9 minutes for lab results. A major contributor to delay was the lack of carriers to send blood samples through the tube system being stocked in the outpatient area. We also discovered that the time from when the sample was placed in the carrier to the time it arrived in our lab was significant. Through a process analysis it was identified that the CBC tubes were being sent to a central lab prior to their final destination in the Hematology lab. We were able to re-route our CBCs directly to the hem lab. Data collected after the intervention showed we were receiving results at 51 minutes, therefore, eliminating 10.9 minutes off of an appointment. We also identified additional opportunities such as pre-assigning rooms, scheduling, exam room organization, and communication that were able to be addressed. Conclusions: As a result of this lean collaborative project we reduced patient wait time by 20.1 minutes and increased patient satisfaction. We were able to order interventions sooner thereby increasing patient safety. By process analysis, we identified multiple areas in our process that could be shortened with no additional cost.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 92-92
Author(s):  
Andrew David Norden ◽  
Lori A. Buswell ◽  
Meg Amorati ◽  
Lois Arthur ◽  
Antoinette Bernard ◽  
...  

92 Background: At a community hospital satellite of an academic cancer center, baseline data indicated that 49% of patients waited longer than 30 minutes from arrival in the treatment chair until treatment was started, resulting in dissatisfaction and decreased chair turnover. Methods: A team was assembled, including physicians, nurses, pharmacists, and administrative staff. The team constructed a detailed process flow map and performed a cause-and-effect analysis. Wait time data were collected using the electronic scheduling system and time sheets. Additionally, nurses used a structured data collection sheet to categorize the reasons for prolonged wait times. A p-type statistical process control chart was constructed to track the proportion of infusion visits per day with wait times longer than 30 minutes. The team brainstormed process improvements and selected ones to implement by employing a priority/pay-off matrix. Results: Baseline data were assessed for 403 visits over a 3 week period. Of 232 visits with wait times longer than 30 minutes, 98 (42%) involved excessive waiting for the physician to see the patient or write orders. One of 4 physicians was responsible for 56 (57%) of these. This physician’s patients were seen exclusively in the infusion room, while the other physicians saw patients in the exam room before sending them to the infusion area. Three PDSA cycles were conducted: (1) All physicians started seeing patients in the exam room before sending them to infusion chairs, (2) Specific treatments were selected that could be routinely administered without the physician seeing the patient, and (3) A reminder system prompted physicians to enter treatment orders within 24 hours of each patient’s visit. After 6 months, 29% of patients waited longer than 30 minutes, down from 49% at baseline. Conclusions: These interventions implemented using PDSA cycles successfully reduced wait times. Measurement and presentation of data were critical in persuading physicians to practice in a more homogeneous fashion.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18191-e18191
Author(s):  
Saroj Vadhan-Raj ◽  
Xiao Zhou ◽  
Meyyammai Narayanan ◽  
Shawn J Janarthanan ◽  
Mary Daniel ◽  
...  

e18191 Background: Excessive pt wait time can have negative effect on clinic work flow and on pts/ providers satisfaction. Increasing pt volume and limited clinic capacity can lead to long wait times for pts. The purpose of this two-part study was to evaluate the impact of Room Pooling Model (RPM) instead of Room Allocation Model (Part 1) and Electronic Health Record (EHR) on pt wait times in clinic and pts’/providers’ satisfaction (Part 2). Methods: The time studies and pts’/providers’ wait time satisfaction surveys were carried out over 2 weeks before (baseline) and 8 weeks after the implementation of RPM (Part 1), prior to the new EHR system, and 6 months after the implementation of EHR (part 2). All times of when pts, mid-level providers (MLP), and doctors (MDs) entered and exited the exam rooms were collected for 887 pts seen during the clinic. Data was analyzed using JMP and SAS. Results: As described earlier (ASCO 2016, abst 6595), the RPM was associated with increase in the proportion of pts seen by MDs within 30 min from the time roomed in the exam room and improvement in pts’/provider’s satisfaction. Post EHR, there were delays with decrease in the proportion of pts seen within 30 min from the time roomed in. Although the pt satisfaction did not change significantly, the number of times MDs had to wait for an open exam room increased from 8% (5/65) to 24% (14/59, p=0.01). The impact of RPM and EHR on pt times are shown below. The delays to see MDs after EHR were associated with longer time spent with the nurse (from median 4 to 7 min) and delays in seeing MLPs (from 11 to 18 min). Conclusions: These findings indicate that RPM can improve pt wait times. During initial stages of EHR implementation, the increase in pt wait time and reduced clinical efficiencies can be related to learning, and adapting to the new system. These data can be useful to design interventions that can target the areas of delays such as training and redesigning workflow to improve the clinical efficiency. [Table: see text]


2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 127-127
Author(s):  
Carolyn Lucille Russo ◽  
Jennifer Morgan ◽  
Mohamed Elsaid

127 Background: Optimizing care delivery is a satisfier for patients and providers alike. Inadequate clinic flow may also drive up costs, as staff are more likely to utilize overtime hours. We noted in our network of outpatient pediatric oncology clinics that the lowest scores in patient satisfaction surveys were the category of waiting time in the chemotherapy area. We aimed to reduce wait time in the chemotherapy area for patients receiving outpatient, lab-dependent, intravenous push chemotherapy by 5% within 9 months. Methods: A team consisting of a nurse team leader and core members (physician, nurse and pharmacist) from affiliate clinics in 3 states (AL, MO, OK) obtained baseline data over 2 weeks. Data included 1) patient arrival time, 2) lab collection time, 3) lab result time, 4) chemotherapy order time, 5) chemotherapy delivery time to clinic, 6) chemotherapy administration time. Each clinic created their individual process map and cause/effect diagram. Additional measures collected were patient satisfaction scores, parent and staff surveys before and after the intervention. Each clinic site met weekly and the network of the 3 clinics met monthly to review all results. Using the baseline data, each clinic identified points in care where interventions could reduce chemotherapy wait time based on reviewing their own and other clinics’ data. Interventions included moving lab collection earlier in the visit, additional pharmacy staff to deliver chemotherapy and placing an electronic monitor to alert providers when lab resulted. Results: Within 4 months of the interventions all sites had a reduction in chemotherapy wait times (Site A 144m-pre, 134m-post; Site B 163m-pre, 140m-post; Site C 137m-pre, 116m-post). Parent and staff surveys are in process. Conclusions: Each clinic was able to reduce chemotherapy times using different interventions depending on their internal process, moreover each clinic learned how to improve from each other’s processes.


2019 ◽  
Vol 4 (4) ◽  
pp. 2473011419S0043
Author(s):  
Connor J. Wakefield ◽  
Kevin Wu ◽  
Joe Skipor ◽  
Angad Ravanam ◽  
Savannah Benko ◽  
...  

Category: Health Sciences Research Introduction/Purpose: Wait times represent a critical component of the patient experience, and prolonged waits are correlated with decreased patient satisfaction. We hypothesized that time spent waiting for radiology is the largest contributor to total patient wait time in our orthopedic foot and ankle clinic. Methods: A prospective, observational study was conducted in the outpatient orthopaedic foot and ankle clinic at a tertiary medical center. A total of 210 new and follow-up adult patients were enrolled. Patients were tracked from arrival until checkout with multiple time points being recorded by a trained observer. The time between patient arrival and first contact with the orthopaedic surgeon was broken down into five distinct categories. Total time between patient arrival and first contact with the orthopaedic surgeon was tested for association with patient and appointment characteristics using Student’s t-test. Results: The average total time spent waiting for first contact with the orthopaedic surgeon was 57.1±30.4 minutes. The largest contributor was time spent waiting for an exam room (33.1±25.5 minutes), followed by time spent waiting for radiologic imaging (21.7±19.9 minutes), time spent waiting for resident/PA (12.2±10.9 minutes), and time spent waiting for attending surgeon after seeing resident/PA (11.7±9.3 minutes). Factors contributing to a longer overall wait included obtaining x-rays at the visit (+15.4±4.2 minutes, 95% confidence interval [CI]=+7.0 to +23.8, p<0.001) and failure to complete patient paperwork beforehand (+36.9±5.3 minutes, CI=+26.4 to +47.4, p<0.001; Table 1). In contrast, overall wait time was not associated with age≥50 years, female sex, late arrival, or outside medical records needing review. Conclusion: Time spent waiting for assignment to an exam room was the largest contributor to the time between patient arrival and first contact with the attending surgeon. In order, the other contributors were time spent waiting for radiology, time spent waiting for the resident/PA, and time spent waiting for the attending surgeon after seeing the resident/PA. Obtaining x-rays increased patient wait time and completing patient paperwork beforehand decreased patient wait time. Orthopaedic foot and ankle surgeons should work to avoid unnecessary x-rays and encourage completion of patient paperwork before arrival in order to optimize clinic flow and decrease patient wait times.


2008 ◽  
Vol 67 (2) ◽  
pp. 71-83 ◽  
Author(s):  
Yolanda A. Métrailler ◽  
Ester Reijnen ◽  
Cornelia Kneser ◽  
Klaus Opwis

This study compared individuals with pairs in a scientific problem-solving task. Participants interacted with a virtual psychological laboratory called Virtue to reason about a visual search theory. To this end, they created hypotheses, designed experiments, and analyzed and interpreted the results of their experiments in order to discover which of five possible factors affected the visual search process. Before and after their interaction with Virtue, participants took a test measuring theoretical and methodological knowledge. In addition, process data reflecting participants’ experimental activities and verbal data were collected. The results showed a significant but equal increase in knowledge for both groups. We found differences between individuals and pairs in the evaluation of hypotheses in the process data, and in descriptive and explanatory statements in the verbal data. Interacting with Virtue helped all students improve their domain-specific and domain-general psychological knowledge.


2019 ◽  
Vol 10 (1) ◽  
pp. 1-27
Author(s):  
Aniek Wijayanti

Business Process Analysis can be used to eliminate or reduce a waste cost caused by non value added activities that exist in a process. This research aims at evaluating activities carried out in the natural material procurement process in the PT XYZ, calculating the effectiveness of the process cycle, finding a way to improve the process management, and calculating the cost reduction that can achieved by activity management. A case study was the approach of this research. The researcher obtained research data throughout deep interviews with the staff who directly involved in the process, observation, and documentation of natural material procurement. The result of this study show that the effectiveness of the process cycle of natural material procurement in the factory reached as much as 87,1% for the sand material and 72% for the crushed stone. This indicates that the process still carry activities with no added value and still contain ineffective costs. Through the Business Process Mechanism, these non value added activities can be managed so that the process cycle becomes more efficient and cost effectiveness is achieved. The result of the effective cycle calculation after the management activities implementation is 100%. This means that the cost of natural material procurement process has become effective. The result of calculation of the estimated cost reduction as a result of management activity is as much as Rp249.026.635,90 per year.


2021 ◽  
Vol 8 ◽  
pp. 237437352110077
Author(s):  
Daliah Wachs ◽  
Victoria Lorah ◽  
Allison Boynton ◽  
Amanda Hertzler ◽  
Brandon Nichols ◽  
...  

The purpose of this study was to explore patient perceptions of primary care providers and their offices relative to their physician’s philosophy (medical degree [MD] vs doctorate in osteopathic medicine [DO]), specialty (internal medicine vs family medicine), US region, and gender (male vs female). Using the Healthgrades website, the average satisfaction rating for the physician, office parameters, and wait time were collected and analyzed for 1267 physicians. We found female doctors tended to have lower ratings in the Midwest, and staff friendliness of female physicians were rated lower in the northwest. In the northeast, male and female MDs were rated more highly than DOs. Wait times varied regionally, with northeast and northwest regions having the shortest wait times. Overall satisfaction was generally high for most physicians. Regional differences in perception of a physician based on gender or degree may have roots in local culture, including proximity to a DO school, comfort with female physicians, and expectations for waiting times.


2021 ◽  
Vol 8 ◽  
pp. 2333794X2110282
Author(s):  
Osayame Austine Ekhaguere ◽  
Rosena Olubanke Oluwafemi ◽  
Angela Oyo-Ita ◽  
Burke Mamlin ◽  
Paul Bondich ◽  
...  

The wait time clients spend during immunization clinic visits in low- and middle-income countries is a not well-understood reported barrier to vaccine completion. We used a prospective, observational design to document the total time from client arrival-to-discharge and all sequential provider-client activities in 1 urban, semi-urban, and rural immunization clinic in Nigeria. We also conducted caregiver and provider focus group discussions to identify perceived determinants of long clinic wait times. Our findings show that the time from arrival-to-discharge varied significantly by the clinic and ranged between 57 and 235 minutes, as did arrival-to-all providers-client activities. Focus group data attributed workflow delays to clinic staff waiting for a critical mass of clients to arrive for their immunization appointment before starting the essential health education talk or opening specific vaccine vials. Additionally, respondents indicated that complex documentation processes caused system delays. Research on clinic workflow transformation and simplification of immunization documentation is needed.


2018 ◽  
Vol 25 (1) ◽  
pp. 67 ◽  
Author(s):  
N. Mundi ◽  
J. Theurer ◽  
A. Warner ◽  
J. Yoo ◽  
K. Fung ◽  
...  

Background Operating room slowdowns occur at specific intervals in the year as a cost-saving measure. We aim to investigate the impact of these slowdowns on the care of oral cavity cancer patients at a Canadian tertiary care centre.Methods A total of 585 oral cavity cancer patients seen between 1999 and 2015 at the London Health Science Centre (lhsc) Head and Neck Multidisciplinary Clinic were included in this study. Operating room hours and patient load from 2006 to 2014 were calculated. Our primary endpoint was the wait time from consultation to definitive surgery. Exposure variables were defined according to wait time intervals occurring during time periods with reduced operating room hours.Results Overall case volume rose significantly from 2006 to 2014 (p < 0.001), while operating room hours remained stable (p = 0.555). Patient wait times for surgery increased from 16.3 days prior to 2003 to 25.5 days in 2015 (p = 0.008). Significant variability in operating room hours was observed by month, with lowest reported for July and August (p = 0.002). The greater the exposure to these months, the more likely patients were to wait longer than 28 days for surgery (odds ratio per day [or]: 1.07, 95% confidence interval [ci]: 1.05 to 1.10, p < 0.001). Individuals seen in consultation preceding a month with below average operating room hours had a higher risk of disease recurrence and/or death (hazard ratio [hr]: 1.59, 95% ci: 1.10 to 2.30, p = 0.014).Conclusions Scheduled reductions in available operating room hours contribute to prolonged wait times and higher disease recurrence. Further work is needed to identify strategies maximizing efficient use of health care resources without negatively affecting patient outcomes.


2016 ◽  
Vol 23 (3) ◽  
pp. 260 ◽  
Author(s):  
J.M. Racz ◽  
C.M.B. Holloway ◽  
W. Huang ◽  
N.J. Look Hong

Background Efforts to streamline the diagnosis and treatment of breast abnormalities are necessary to limit patient anxiety and expedite care. In the present study, we examined the effect of a rapid diagnostic unit (RDU) on wait times to clinical investigations and definitive treatment.Methods A retrospective before–after series, each considering a 1-year period, examined consecutive patients with suspicious breast lesions before and after initiation of the RDU. Patient consultations, clinical investigations, and lesion characteristics were captured from time of patient referral to initiation of definitive treatment. Outcomes included time (days) to clinical investigations, to delivery of diagnosis, and to management. Groups were compared using the Fisher exact test or Student t-test.Results The non-RDU group included 287 patients with 164 invasive breast carcinomas. The RDU group included 260 patients with 154 invasive carcinomas. The RDU patients had more single visits for biopsy (92% RDU vs. 78% non-RDU, p < 0.0001). The RDU group also had a significantly shorter wait time from initial consultation to delivery of diagnosis (mean: 2.1 days vs. 16.7 days, p = 0.0001) and a greater chance of receiving neoadjuvant chemotherapy (37% vs. 24%, p = 0.0106). Overall time from referral to management remained statistically unchanged (mean: 53 days with the RDU vs. 50 days without the RDU, p = 0.3806).Conclusions Introduction of a RDU appears to reduce wait times to definitive diagnosis, but not to treatment initiation, suggesting that obstacles to care delivery can occur at several points along the diagnostic trajectory. Multipronged efforts to reduce system-related delays to definitive treatment are needed.


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