Successfully reforming orthopaedic outpatients

2012 ◽  
Vol 36 (2) ◽  
pp. 233 ◽  
Author(s):  
Peter A. Schoch ◽  
Lisa Adair

Since 2005, Barwon Health has successfully reformed its orthopaedic outpatient service to address the following issues: increasing number of referrals, inefficient referral management and triage, long waiting times for non-urgent appointments, high ‘Did Not Attend’ (DNA) rates and poor utilisation of conservative therapies before referral to surgeon. Numerous strategies have been implemented including: waiting list audits, triage guidelines, physiotherapy-led clinics, a DNA policy, an orthopaedic lead nurse role and a patient-focussed booking system. There has been a 66% reduction in the number of patients waiting for their first appointment; an 87% reduction in the waiting time from referral to first appointment; a 10% reduction in new patient DNAs; and more efficient referral management and communication processes. Patients are now seen in clinically appropriate time frames and offered earlier access to a wider range of conservative treatments. What is known about the topic? Demand for public outpatient services continues to increase. New resource and budget availability is limited, so organisations must continually look for ways to utilise existing resources as efficiently and effectively as possible to deliver timely and appropriately patient care. What does this paper add? Further evidence that redesign work that addresses both the administrative and clinical aspects of outpatient services can achieve positive and sustainable outcomes. Alternative models of care such as physiotherapy-led screening clinics, which utilise the skills of a range of health professionals, can supplement traditional medical-led clinics to provide high quality patient care and reduce the workload on consultants. Administrative changes such as patient focussed bookings can be implemented without compromising patient care and may simultaneously reduce the administrative load for the organisation and encourage patients to become more active and responsible participants in their own care. What are the implications for practitioners? Redesign work needs to consider both the clinical and administrative aspects of outpatient care, in order to implement sustainable change that positively affects the patient journey. The effects of change on upstream and downstream providers needs to be considered before changes are made. Transparency of the change of management process is vital, no matter how confronting this may be for stakeholders, to ensure decisions are based on fact, rather than hearsay or historical practice.

Author(s):  
Istvan Budai ◽  
Balázs Kocsi ◽  
László Pusztai

The examination and automation opportunities in healthcare processes, which aims at reducing patient journey and their waiting time, while increasing the utilization of medical equipment as well as monitoring patients. Waiting times are playing a significant role in the total process time of patient care. One of the main reasons is the insufficient resource allocation. This research presents a methodological improvement which supports decision making in digital health processes. The current research provides a methodology that makes weekly human resource scheduling more efficient than before. With the combination of process mining and operations research, we developed a weighted forecast for the probable number of patients. During the research we processed historical data as well as we identified the bottlenecks in the examined health process. Furthermore, we took the causality into account. In today’s fast-paced societies, IT-based solutions are more and more frequently used in healthcare, with the aim of reducing risks and increase patient satisfaction. The method created by us offers a fast, precise and efficient solution to decision making in digital health processes.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S113-S113
Author(s):  
Oksana Zinchenko ◽  
Jennifer Hyland

AimsThis audit was to assess and improve the organizational efficiency of referrals to Inverness Sector A Outpatient Service. The referrals were audited to measure the average waiting time from referral to first offered outpatient appointment and to assess the proportion of patients waiting longer than 12 weeks.MethodThe audit included routine referrals to the CMHT Inverness Sector A, NHS Highland from GP practices: Kingsmills, Burnfield, Riverside, Fairfield, Foyers and Drumnadrochit Medical Practices. The number of referrals and the number and proportion of clients given appointments for assessments were calculated. Referrals were received directly from primary care and the Mental Health Liaison Team or following Out of Hours contacts at the Mental Health Assessment Team.Data were collected retrospectively: referrals from 1 Jan 2020–31 Aug 2020. Sample size came to 160 patients aged 16–65 years. Data were collected via review of recorded documentation on the NHSH electronic patient record systems (SCIstore), from 5th–25th January 2021.Result160 patients (male 82, female 78) were referred from 1 Jan to 1 Sept 2020. Of these, 140 (87.5%) were given an appointment for an assessment. The mean waiting time was 12 weeks for 103 patients (64%), with 57 patients (36%) waiting longer than 13 weeks. The bimodal distribution of waiting times prompted an analysis of those with longer waiting times. In some instances, appointments were delayed because patients either did not attend (DNA) or cancelled their appointments. Reasons for delays included: postponement until further information was available; cancellation of meetings or patients DNA. In 20 cases (12.5%), the referrals deemed inadequate, prompting further liaison with the referrer for clarification about the nature of the problem and previous psychological interventions.ConclusionThe number of transactions (any amendment to a patient record) was higher than the number of patients affected, as several transactions can relate to one patients’ record.Most referrals are vetted in advance via the daily Inverness triage huddle. Ways of improving the quality of information provided by referrers would be explored.On receipt of each referral, the date of the 12 week deadline would be calculated and highlighted in a database.The cross-sector (Highland wide) standardisation will add clarity about medical capacity, that does not involve use of excessive clinician time.


2018 ◽  
Vol 69 (8) ◽  
pp. 2236-2239
Author(s):  
Marius Moga ◽  
Mark Edward Pogarasteanu ◽  
Dumitru Ferechide ◽  
Antoine Edu ◽  
Chen Feng Ifrim

Gout is a metabolic disease involving the impregnation of joints and other tissues with urate crystals. The onset is often brutal, and it manifests itself with pain and inflammation in the affected joint. The treatment usually involves rest, ice, NSAIDs and anti-gout medication. The long-term treatment involves medication and dietary changes. In the joint, urate crystals are deposited in the synovial, in the cartilage and in the menisci. In the arthroscopic practice, the gouty knee is a rare occurrence. We present a relevant case, that of a 57 years old patient without a prior gout diagnosis where we found urate crystal deposits covering the synovium, cartilage and meniscus, and we discuss the current and recent year Pub Med indexed literature in order to evaluate the possibilities for arthroscopic treatment of this pathology. We looked at the number of patients involved, their characteristics, and the surgical techniques used. We also looked at the temporal relation of the arthroscopic intervention to the recent gout attacks, and at the described lesions that were found. Also, we evaluated the papers for joint liquid analysis, gout drug treatment, and description of clinical aspects involved and associated lesions. Finally, we looked at the follow-up, at the functional scores used to monitor the patient�s evolution, at the associated medication and at the long-term outcomes, if described. We have found opinions to vary. In the end, we draw conclusions pertaining to the practical short-term and long-term use of knee arthroscopy in the treatment of gout.


2020 ◽  
Vol 51 (4) ◽  
pp. 550-570
Author(s):  
Cindy Luu ◽  
Thomas B. Talbot ◽  
Cha Chi Fung ◽  
Eyal Ben-Isaac ◽  
Juan Espinoza ◽  
...  

Objective. Multi-patient care is important among medical trainees in an emergency department (ED). While resident efficiency is a typically measured metric, multi-patient care involves both efficiency and diagnostic / treatment accuracy. Multi-patient care ability is difficult to assess, though simulation is a potential alternative. Our objective was to generate validity evidence for a serious game in assessing multi-patient care skills among a variety of learners. Methods. This was a cross-sectional validation study using a digital serious game VitalSignsTM simulating multi-patient care within a pediatric ED. Subjects completed 5 virtual “shifts,” triaging, stabilizing, and discharging or admitting patients within a fixed time period; patients arrived at cascading intervals with pre-programmed deterioration if neglected. Predictor variables included generic multi-tasking ability, video game experience, medical knowledge, and clinical efficiency with real patients. Outcome metrics in 3 domains measured diagnostic accuracy (i.e. critical orders, diagnoses), efficiency (i.e. number of patients, time-to-order) and critical thinking (number of differential diagnoses); MANOVA determined differences between novice learners and expected expert physicians. Spearman Rank correlation determined associations between levels of expertise. Results. Ninety-five subjects’ gameplays were analyzed. Diagnostic accuracy and efficiency distinguished skill level between residency trained (residents, fellows and attendings) and pre-residency trained (medical students and undergraduate) subjects, particularly for critical orders, patients seen, and correct diagnoses (p < 0.003). There were moderate to strong correlations between the game’s diagnostic accuracy and efficiency metrics compared to level of training, including patients seen (rho = 0.47, p < 0.001); critical orders (rho = 0.80, p < 0.001); time-to-order (rho = −0.24, p = 0.025); and correct diagnoses (rho = 0.69, p < 0.001). Video game experience also correlated with patients seen (rho = 0.24, p = 0.003). Conclusion. A digital serious game depicting a busy virtual ED can distinguish between expected experts in multi-patient care at the pre- vs. post-residency level. Further study can focus on whether the game appropriately assesses skill acquisition during residency.


2002 ◽  
Vol 18 (3) ◽  
pp. 611-618
Author(s):  
Markus Torkki ◽  
Miika Linna ◽  
Seppo Seitsalo ◽  
Pekka Paavolainen

Objectives: Potential problems concerning waiting list management are often monitored using mean waiting times based on empirical samples. However, the appropriateness of mean waiting time as an indicator of access can be questioned if a waiting list is not managed well, e.g., if the queue discipline is violated. This study was performed to find out about the queue discipline in waiting lists for elective surgery to reveal potential discrepancies in waiting list management. Methods: There were 1,774 waiting list patients for hallux valgus or varicose vein surgery or sterilization. The waiting time distributions of patients receiving surgery and of patients still waiting for an operation are presented in column charts. The charts are compared with two model charts. One model chart presents a high queue discipline (first in—first out) and another a poor queue discipline (random) queue. Results: There were significant differences in waiting list management across hospitals and patient categories. Examples of a poor queue discipline were found in queues for hallux valgus and varicose vein operations. Conclusions: A routine waiting list reporting should be used to guarantee the quality of waiting list management and to pinpoint potential problems in access. It is important to monitor not only the number of patients in the waiting list but also the queue discipline and the balance between demand and supply of surgical services. The purpose for this type of reporting is to ensure that the priority setting made at health policy level also works in practise.


PEDIATRICS ◽  
1991 ◽  
Vol 88 (6) ◽  
pp. 1226-1232
Author(s):  
Barbara S. Shapiro ◽  
David E. Cohen ◽  
Kenneth W. Covelman ◽  
Carol J. Howe ◽  
Sam M. Scott

This article is a report of our experience with an interdisciplinary pain service in a large tertiary care pediatric hospital. During the first 2 years of operation, we received 869 consultations and referrals from more than 19 hospital divisions. Postoperative pain was the most frequent reason for consultation (56% of patients). Patients with pain related to cancer and sickle cell disease comprised 25% of the consultations. The remaining patients had a wide variety of primary diagnoses and causes of pain. We calculated the time spent by pain service physicians in direct patient care. The majority (63%) of physician time was spent with a small number of patients (17%). Most of these patients had pain that was unrelated to surgery, cancer, or sickle cell disease, and many posed dilemmas in diagnosis and treatment. Physician time was correlated directly to the use of psychologic and physical therapies for the pain, involving multiple team members. This experience supports the demand for an interdisciplinary pain service in a tertiary care children's hospital. A significant amount of physician time is necessary to provide patient care and to maintain a team approach, however, and pediatricians and other health care professionals who aim to implement such services should be cognizant of the time required.


BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S315-S315
Author(s):  
Henry Coates

Aims1) To assess the average wait time for patients to be offered an appointment and to establish any correlations between longer waiting times and 'Did not attend (DNA)' rates 2) To assess the number of patients who have opted into the text message appointment reminder service and whether this had an effect on DNA rates.BackgroundResearch has indicated that the Did Not Attend (DNA) rate in Psychiatry is estimated at 20%, twice that of other medical specialties (1). With NHS Digital estimating that DNAs cost the NHS £1 Billion per annum, there has been much interest in reducing the rate of DNAs within Psychiatry (2). Findings have shown that short waiting times are associated with higher rates of attendance (3). In addition, poor appointment attendance within Psychiatry is also associated with increased disease severity and higher rates of hospital admission (4).MethodWe conducted retrospective data collection on 99 patients referred to Professor Oyebode between January 2018 and August 2019. Our data collection involved assessing time the referral was received, time to first appointment and the patient's communication preference (e.g. whether they opted in to the SMS alert service). All data collection was conducted through use of RIO and coded/ammonized into a Excel spreadsheet. No sampling methods were employed and our population only consisted of first-time referrals to Professor Oyebodes clinic.Result1) We found no correlation between a longer waiting time to first appointment and an increased DNA rate.2) All patient waiting times between 1st January - 31st August were within the maximum limit set by national guidelines3) Opting into the text messaging service remains severely low. Of the patients audited, 95% had not completed a communication preference form. Overall, it is still unclear whether the text messaging service has a positive impact on DNA rates.ConclusionOur data have shown no significant correlation between a longer waiting time and an increased DNA rate for first time Psychiatry appointments. Secondly, we have concluded that between the audited period, waiting times were still within the maximum 18 week wait set by the Mental Health Standards. Finally, we can conclude that uptake of the text messaging service remains very low at 4%. Due to a limited sample size of only 4 patients, it is still unclear from this audit whether opting into the text messaging services will have a positive decrease on the number of DNA's.


2020 ◽  
Vol 54 (6) ◽  
pp. 1757-1773
Author(s):  
Elvan Gökalp

Accident and emergency departments (A&E) are the first place of contact for urgent and complex patients. These departments are subject to uncertainties due to the unplanned patient arrivals. After arrival to an A&E, patients are categorized by a triage nurse based on the urgency. The performance of an A&E is measured based on the number of patients waiting for more than a certain time to be treated. Due to the uncertainties affecting the patient flow, finding the optimum staff capacities while ensuring the performance targets is a complex problem. This paper proposes a robust-optimization based approximation for the patient waiting times in an A&E. We also develop a simulation optimization heuristic to solve this capacity planning problem. The performance of the approximation approach is then compared with that of the simulation optimization heuristic. Finally, the impact of model parameters on the performances of two approaches is investigated. The experiments show that the proposed approximation results in good enough solutions.


2019 ◽  
Vol 3 (1) ◽  
pp. 14-22
Author(s):  
Widya Setia Findari ◽  
Yohanes Anton Nugroho

Abstract : The purpose of this study is to optimize service time in a community health center. The average number of patients visiting is 100 to 300 per day. In certain units there is a heavy queue of patients which increases service waiting times, including registration units, inspection units, and pharmaceutical units. The initial observation data on the existing system shows the waiting time for patient services is 2,7 hours. This fact shows that the time of patient service on the existing system needs to be optimized so that the waiting time can be accelerated. This study offers a solution to optimize the service queue system using a simulation approach. The DMAIC (Define, Measure, Analyze, Improve, Control) Six Sigma method is used as a basis for analyzing the waiting time for services from an existing system. The results of the analysis are used in the simulation test to obtain improvement factors using several scenarios. The best simulation results are obtained with the scenario of adding operators in all units. Optimizing the waiting time of patient services using the best scenario simulation approach is shown by the decrease in waiting time of the queue system by 1,05 hours or 38,9% faster than the existing system.Keywords: System Optimizing; Public Health; Queue; Simulation; DMAIC Six SigmaAbstrak : Tujuan penelitian ini adalah untuk mengoptimalkan waktu tunggu pelayanan di sebuah pusat kesehatan masyarakat (Puskesmas). Rata-rata jumlah pasien yang berkunjung adalah 100 hingga 300 per hari. Pada beberapa unit tertentu terjadi antrian pasien yang padat sehingga meningkatkan waktu tunggu pelayanan, antara lain unit pendaftaran, unit pemeriksaan, dan unit farmasi. Data pengamatan awal pada sistem yang ada menunjukkan waktu tunggu pelayanan pasien adalah 2,7 jam. Fakta ini menunjukkan bahwa waktu pelayanan pasien pada sistem yang ada perlu dioptimalkan agar waktu tunggu dapat dipercepat. Penelitian ini menawarkan solusi optimalisasi sistem antrian pelayanan dengan menggunakan pendekatan simulasi. Metode DMAIC (Define, Measure, Analyze, Improve, Control) Six Sigma digunakan sebagai dasar analisis waktu tunggu pelayanan dari sistem yang sudah ada. Hasil analisis digunakan pada uji simulasi untuk mendapatkan faktor perbaikan dengan menggunakan beberapa skenario. Hasil simulasi terbaik diperoleh dengan skenario penambahan operator di semua unit. Optimasi waktu tunggu pelayanan pasien dengan menggunakan pendekatan simulasi skenario terbaik ditunjukkan oleh penurunan waktu tunggu sistem antrian sebesar 1,05 jam atau 38,9% lebih cepat dari sistem yang sudah ada.Kata kunci: Optimasi Sistem, Layanan Kesehatan, Antrian, Simulasi, DMAIC Six Sigma


2018 ◽  
Vol 25 (3) ◽  
pp. 206 ◽  
Author(s):  
A. Fundytus ◽  
W.M. Hopman ◽  
N. Hammad ◽  
J.J. Biagi ◽  
R. Sullivan ◽  
...  

Background In 2000, a Canadian task force recommended that medical oncologists (mos) meet a target of 160–175 new patient consultations per year. Here, we report the Canadian results of a global survey of mo workload compared with mo workload in other high-income countries (hics).Methods Using a snowball method, an online survey was distributed by national oncology societies to chemotherapy-prescribing physicians in 22 hics (World Bank criteria). The survey was distributed within Canada to all members of the Canadian Association of Medical Oncologists. Workload was measured as the annual number of new cancer patient consults per oncologist.Results The survey was completed by 782 oncologists from hics, including 58 from Canada. Median annual consults per mo were 175 in Canada compared with 125 in other hics. The proportions of mos having 100 or fewer consults or more than 300 consults per year were 3% (2/58) and 5% (3/58) in Canada compared with 31% (222/724) and 16% (116/724) in other hics (p < 0.001 and p = 0.023 respectively). The median number of patients seen in a full-day clinic was 15 in Canada and 25 in other hics (p = 0.220). Canadian mos reported spending a median of 55 minutes per new consultation; new consultations of 35 minutes were reported in other hics (p < 0.001). Median hours worked per week was 55 in Canada and 45 in other hics (p = 0.200).Conclusions Although the median annual clinical volume for Canadian mos aligns with recommended targets, half the respondents exceeded that level of activity. Health policymakers and educators have to consider mo workforce supply and alternative models of care in preparation for the anticipated surge in cancer incidence in the coming decade.


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