Triage Of Referrals Research Articles

Evaluating AI performance in nephrology triage and subspecialty referrals

Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologists created 100 patient cases that encompassed various aspects of nephrology. ChatGPT’s performance in determining the appropriateness of nephrology consultations and identifying suitable nephrology subspecialties was assessed. The results demonstrated high accuracy; ChatGPT correctly determined the need for nephrology in 99–100% of cases, and it accurately identified the most suitable nephrology subspecialty triage in 96–99% of cases across two evaluation rounds. The agreement between the two rounds was 97%. While ChatGPT showed promise in improving medical triage efficiency and accuracy, the study also identified areas for refinement. This included the need for better integration of multidisciplinary care for patients with complex, intersecting medical conditions. This study’s findings highlight the potential of AI in enhancing decision-making processes in clinical workflow, and it can inform the development of AI-assisted triage systems tailored to institution-specific practices including multidisciplinary approaches.

Outcomes of popliteal artery injuries in a level 1 trauma centre: a 6-year review

PurposeTo determine modifiable and non-modifiable factors contributing to limb loss in PAI the relevance and accuracy of published scoring systems for PAI within a South African State hospital.MethodologyRetrospective review of patients (> 18 years) with PAI, presenting to CMJAH trauma unit from 1 January 2017 to 31 December 2022.ResultsSixty-four patient records were analysed. Thirty (46.9%) had blunt trauma and thirty-four (53.1%) had penetrating trauma. Gunshot wounds (GSW) were the most common mechanism of injury (MOI). Blunt PAI had a 40% amputation rate and penetrating trauma, 33.3%. Forty-seven (73.4%) had a delay to surgery of > 6 h. The mean time to arrival at our emergency department was 478 min, and the mean time from arrival to surgery was 368 min (total delay of 838 min). The primary amputation rate was 28.6%, and 63.5% had successful limb salvage surgeries. The secondary amputation rate was 7.8%.ConclusionCompared to international literature, our rate of primary amputation is high (10% vs. 28.8%) and prolonged ischaemia is the likely cause. Only 17 (26.6%) patients presented before 6 h. Of the 45 patients that had an attempt at revascularisation, 7.8% had a secondary amputation. Thus, despite prolonged ischaemia, revascularisation should be attempted in patients with at least two viable compartments on fasciotomy. The MESS and POPSAVEIT scoring systems should not be relied on in patients with delayed presentations. Strengthening referral triage for suspected PAI to Level 1 Trauma centres directly will decrease the delays and likely improve the outcomes.

Community-onset pediatric status epilepticus: Barriers to care and outcomes in a real-world setting.

Status epilepticus (SE) is a neurological emergency in childhood, often leading to neuronal damage and long-term outcomes. The study aims to identify barriers in the pre-hospital and in-hospital management of community-onset pediatric SE and to evaluate the effectiveness of pediatric scores on outcomes prediction. This monocentric observational retrospective cohort study included patients treated for community-onset pediatric SE in a tertiary care hospital between 2010 and 2021. Data were extracted following Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. Inclusion criteria were community-onset SE (according to the International League Against Epilepsy [ILAE] Task Force on SE Classification), admission to the pediatric emergency department (PED), age: 1 month to 18 years. Pre-hospital, in-hospital management and outcomes were analyzed. Pediatric scores for prediction of clinical worsening (Pediatric Early Warning Score - PEWS) and SE outcome (Status Epilepticus in Pediatric patients Severity Score - STEPSS; Pre-status Epilepticus PCPCS, background Electroencephalographic abnormalities, Drug refractoriness, Semiology and critical Sickness Score - PEDSS) were retrospectively assessed for their accuracy in predicting short-term and long-term outcomes. A total of 103 consecutive episodes of SE were included. Out-of-hospital rescue medications administration occurred in 54.4% of cases and was associated with higher SE resolution rate before PED admission (48.2% vs 27.6%, p = .033). Longer in-PED time to treatment was observed in case of delay to PED referral (r = 0.268, p = .048) or non-red triage labels (12 vs 5 min, p = 0.032), and was associated with longer in-PED duration of SE (r = 0.645, p < .001). Longer SE duration was observed in episodes leading to hospitalization compared to those discharged (50 vs 16 min, p < .001). In-PED electroencephalography (EEG) recordings were available in 39.8% of events. Predictive scores varied in accuracy, with PEWS ≥5 showing high sensitivity for intensive care unit (ICU) admission but low specificity. No patients died, 6.3% of SE was refractory. Effective pre-hospital administration of rescue medications and prompt PED management are crucial to reduce SE duration and improve outcomes. Predictive scores can aid in assessment of the severity and prognosis of SE; their utility is still not defined. Identifying and addressing actionable care barriers in SE management pathways is essential to enhance patient outcomes in pediatric SE.

Impact on ambulatory palliative appointment lead times by standardizing scheduling protocols based on cognitive computing models.

62 Background: Although palliative care is available across the United States, access continues to remain variable. In Texas, only 52% of hospital systems have palliative services. As a result, optimizing existing systems is critical to providing timely services to this vulnerable population. The Supportive Care Services Clinic at University Health in San Antonio, TX provides ambulatory palliative services to patients including physical and psychosocial symptom management and care coordination. For the period April 1, 2023 to June 30, 2023 average lead times for new palliative patient visits (NPPV) and hospital consult discharge visits (HCDV) was 53 days and 39 days respectively. The aim of this project was to decrease the lead times for NPPV and HCDV through standardization of scheduling criteria. We hypothesized that by applying a scheduling protocol utilizing cognitive computing models (CCM) calculating readmission risk scores to prioritize referrals, we could reduce appointment lead times. Methods: During the implementation phase, we developed referral triage criteria to prioritize patients on a scheduling wait list, including patients who were at higher risk of hospitalization or rapid decline based on CCM readmission risk scores calculated within the electronic medical record. Patients were assigned to next available in template. If a cancelation occurred, patients were pulled forward and vacancy was filled based on priority score. Results: For the initial post-implementation period between September 1, 2023 and November 30, 2023 NPPV average lead time was 47 days which was a reduction of 11% from baseline. The average lead time for HCDV was 33 days which was a reduction of 15% from baseline. In a second follow-up period from February 1, 2024 to April 30, 2024, the average lead time of NPPV was 22 days, a 58% decrease from baseline. The average lead time for HCSV was 24 days which was a significant reduction (p-value = 0.011) of 38% from the pre-implementation baseline. Conclusions: Utilization of CCM risk scores to triage NPPV and HCDV significantly reduced the lead times and resulted in more timely services for critical patients. We also noted increased template utilization. Future projects aim to study the effects of scheduling protocols on template utilization, cancellation rates, no-show rates, readmission rates and other health care utilization. Palliative appointment lead times. April-June 2023 Sept-Nov 2023 Feb-Apr 2024 Total Pt Seen 292 364 534 Avg Lead Time (d) 41 38 29 New Patient New Patient New Patient Completed 66 82 74 Avg Lead Time (d) 53 47 22 Hospital Discharge Hospital Discharge Hospital Discharge Completed 27 28 25 Avg Lead Time (d) 39 33 24

Establishing a Specialist Physiotherapy service with a Regional Specialist Memory Clinic

Abstract Background Patients with complex motor-cognitive syndromes (E.g. Dementia with Lewy Bodies, Corticobasal syndrome, Progressive Supranuclear Palsy and Huntington’s disease) present with a wide variety of symptoms. Accordingly, these patients have traditionally been managed under different services from Neurology-led movement disorder clinics to age-related services, without dedicated access to specialist physiotherapy input. Recognising this, the Model of Care for Dementia in Ireland recommended that all regional specialist memory services (RSMC) should have a dedicated Clinical Specialist Physiotherapist. The aim of this study was to provide an overview of clinic activity in the first six months of operation. Methods Physiotherapy referrals were collected from September 2023 to March 2024. Referral details were captured using Microsoft Excel and included patient demographics, reason for referral, diagnosis and previous physiotherapy input. Following triage of referrals, patients were placed in one of the following three care pathways: Results 63 referrals were generated. Of these, 15 patients were referred for pre-diagnostic assessment, 46 were referred for rehabilitation, and 2 were referred for secondary prevention. Of those referred for rehabilitation; 18 patients had a diagnosis of DLB, 27 had another form of atypical Parkinsonism, 1 patient had HD. 22 patients had previous physiotherapy input. Conclusion This is the first specialist physiotherapy service in Ireland within a RSMC. This presents a challenge as there is no specific physiotherapy care pathway established for this service elsewhere, but also opportunity for service development and innovation. This overview will help with strategic and service planning and enables KPIs to be established to ensure patients receive a quality service.

Model development for bespoke large language models for digital triage assistance in mental health care

Contemporary large language models (LLMs) may have utility for processing unstructured, narrative free-text clinical data contained in electronic health records (EHRs) — a particularly important use-case for mental health where a majority of routinely-collected patient data lacks structured, machine-readable content.A significant problem for the United Kingdom’s National Health Service (NHS) are the long waiting lists for specialist mental healthcare. According to NHS data (NHS Digital, 2024), in each month of 2023, there were between 370,000 and 470,000 individual new referrals into secondary mental healthcare services. Referrals must be triaged by clinicians, using clinical information contained in the patient’s EHR to arrive at a decision about the most appropriate mental healthcare team to assess and potentially treat these patients.The ability to efficiently recommend a relevant team by ingesting potentially voluminous clinical notes could help services both reduce referral waiting times and with the right technology, improve the evidence available to justify triage decisions.We present and evaluate three different approaches for LLM-based, end-to-end ingestion of variable-length clinical EHR data to assist clinicians when triaging referrals. Our model is able to deliver triage recommendations consistent with existing clinical practices and its architecture was implemented on a single GPU, making it practical for implementation in resource-limited NHS environments where private implementations of LLM technology will be necessary to ensure confidential clinical data are appropriately controlled and governed. Code available at: https://github.com/NtaylorOX/BespokeLLM_Triage.

Intravitreal therapy in neovascular age-related macular degeneration-adapting to increasing demand and changing times.

To report the outcomes of patients with neovascular age-related macular degeneration (nAMD) at Palmerston North Eye Clinic (PNEC) during 2020 and 2021, comparing time to treatment initiation based on nurse-injector availability and during COVID-19 restrictions. Data were recorded from a prospective database for patients with nAMD at PNEC. Each patient's electronic health record was reviewed to ensure the accuracy of the database and to fill in missing data points. Statistics were done using Microsoft Excel and R. One hundred and fifty-six eyes were diagnosed with nAMD during the study. Mean time from referral triage to first injection was 13.08 days across the study period. Time to treatment initiation was not statistically different by level of COVID-19 restriction but there was a significant difference in first specialist appointment to injection interval when three nurse-injectors were available compared to four. The effect seemed most evident in subsequent months after reduced nurse-injector availability began. Despite an increase in nAMD diagnoses each year, PNEC continues to meet national guidelines for interval from referral to treatment initiation through innovations in practice. As demand for intravitreal injections continues to increase, further resourcing and research into newer agents will be required to keep wait times compliant with guidelines.

Clinical utility of brief screening measures during neuropsychological consultation for pediatric onset multiple sclerosis.

Pediatric-onset multiple sclerosis (POMS) accounts for approximately 2 to 5% of all individuals with MS and is associated with an increased risk for cognitive impairment. In recent years, neuropsychological screening questionnaires have been increasingly utilized for pediatric populations in multidisciplinary settings. This study examines the clinical utility of the Colorado Learning Difficulties Questionnaire (CLDQ) and Pediatric Perceived Cognitive Functioning (Peds PCF) screening measures for identifying cognitive impairment in persons with POMS during a target neuropsychological evaluation. Retrospective data was gathered from electronic medical records at a single pediatric hospital. Forty-nine participants were included (69% female; 43% Hispanic/Latinx; mean age = 16.1 years old, range = 9.9 to 20.6 years old). Correlation analyses demonstrated strong interrelatedness between caregiver ratings on screening measures and performance on traditional neuropsychological measures. Effect sizes were medium across comparisons (CLDQ: Spearman's rho = -.321 to -.563; PedsPCF: Spearman's rho = .308 to .444). Exploratory cut-points using receiver operating characteristic analysis and Youden indices are also discussed. Comparison of scores across caregiver rating questionnaires and on a targeted neuropsychological battery suggests that the screening surveys alone may not be sensitive enough to identify children with cognitive impairments, but ratings may provide qualitatively meaningful information along with neuropsychological testing. This study illustrates how pediatric neuropsychologists can leverage screening tools to focus consultative interviews and effectively triage referrals for evaluation within an academic medical setting.

WP4.2 - Covid positivity: the pandemic surgical referral telephone triage legacy lives on

Abstract Introduction Covid restrictions provided opportunities for novel approaches to patient assessment. Innovative telephone triage of surgical referrals at Great Western Hospital, a UK District General Hospital, resulted in reduction in those patients reviewed and discharged the same day from 56% to 23.6%. Furthermore, 28.4% of admissions were avoided by triage. This novel work was adapted for the Ambulatory Emergency Care (AEC) department of Yeovil District Hospital, in response to exponential increases in Primary Care and Emergency Department referrals. Aims To develop a telephone triage system to get the right patient to the right place at the right time, reviewed by the right team. Methods Over the two-week study period (18/9–29/9/2023) a dedicated triage telephone line enabled a discussion between referring clinician and an experienced surgeon. Four outcomes were offered:AdviceOutpatient review within 1 weekHot clinic review within 24-48 hoursSame-day review by the on-call team Prospective referral data (18/9–29/9/2023) and retrospective non-triage data (1/9–14/9/2023) were gathered. Triage effects were measured by outcome comparison with non-triage data. Results A total of 193 patients were discussed. 48% were Emergency Department referrals, 25% from General Practitioners. Same-day reviews reduced by 35%. Overall, the on-call workload decreased by 68%. Return to AEC for review reduced by 99%. Reduction in average time spent by patients in AEC from 6.9 to 1.29 hours, saved up to 6 bed-days per day and facilitated significant cost savings. Conclusions Novel approaches can be cost effective and positively impact patient care.

Hospital referrals, exclusions from hospital care, and deaths among long-term care residents in the Community of Madrid during the March–April 2020 COVID-19 epidemic period: a multivariate time series analysis

BackgroundFrom March 7 to April 7, 2020, the Community of Madrid (CoM), Spain, issued interventions in response to the COVID-19 epidemic, including hospital referral triage protocols for long-term care facility (LTCF) residents (March 18–25). Those with moderate to severe physical disability and cognitive impairment were excluded from hospital referral. This research assesses changes in the association between daily hospital referrals and the deaths of LTCF residents attributable to the triage protocols.MethodsDaily hospital referrals and all-cause mortality from January to June 2020 among LTCF residents and the CoM population aged 65 + were obtained. Significant changes in LTCF resident daily hospital referrals time series, and in-LTCF and in-hospital daily deaths, were examined with tests for breaks and regimes in time series. Multivariate time series analyses were conducted to test changes in the associations between LTCF resident hospital referrals with daily deaths in-hospital and in-LTCF, and in the CoM population aged 65 + when the triage protocols were implemented.ResultsAmong LTCF residents, hospital referrals declined sharply from March 6 to March 23, 2020. Increases in LTCF residents' daily deaths occurred from March 7 to April 1, followed by a decrease reaching pre-epidemic levels after April 28. The daily ratio of in-hospital deaths to in-LTCF deaths reached its lowest values from March 9 to April 19, 2020. The four versions of the triage protocol, published from March 18 to March 25 had no impact on further changes in the association of hospital referrals with daily deaths of LTCF residents in-hospital or in-LTCF.ConclusionsWhile LTCF residents’ deaths increased, hospital referrals of LTCF residents decreased with the introduction of the CoM governmental interventions on March 7. They were implemented before the enactment of the triage protocols, protecting hospitals from collapse while overlooking the need for standards of care within LTCFs. The CoM triage protocols sanctioned the existing restrictions on hospital referrals of LTCF residents.

Pilot Study—Gold Coast HHS Coronary Angiogram Referral Management and Triage Processes

Pilot Study—Gold Coast HHS Coronary Angiogram Referral Management and Triage Processes

Using AI-based virtual triage to improve acuity-level alignment of patient care seeking in an ambulatory care setting

Objective: Evaluate how an AI-based virtual triage (VT) and care referral technology impacted live triage and care referral in an outpatient/ambulatory care network.Methods: Analysis of a dataset of 8,088 outpatient online encounters assessed how VT influenced patient care seeking action/behavior.Results: There were modest decreases in patients seeking outpatient care, including in-person or video face-to-face encounters (-12.5%), or engaging self-care (-8.2%). Patient engagement of virtual care through e-visits and telephone calls increased moderately (19.1%). One-third (35.0%) of patients changed care seeking likely as a result of VT care referral. Another third (32.3%) reported a pre-VT care intent aligned with the VT care recommendation, and a third (32.7%) did not change care sought when their pre-VT intent was not aligned. A total of 12.0% de-escalated acuity of care seeking as recommended by VT, most frequently from outpatient care to virtual care (6.5%) or self-care (4.3%). When VT recommended care de-escalation, 53.5% de-escalated care. In 21.2% care acuity was escalated, of whom 10.6% pursued virtual care and 7.5% pursued outpatient care instead of self-care, while 3.1% whose care intent was virtual care instead pursued outpatient care. When VT recommended care escalation, 96.2% escalated care. Overall, 26.7% of patients required no further action or involvement of clinical staff.Conclusions: Virtual triage impacted patient care seeking action/behavior among almost half of patients whose pre-VT intent differed from the VT recommendation, with patients nearly twice as likely to follow recommendations to seek higher rather than lower levels of care acuity, while modestly reducing the number of face-to-face visits and increasing virtual care. Overall, a quarter of patients using VT were able to perform self-care without interacting with the healthcare team. Virtual triage has the potential to efficiently and effectively redirect patients to more appropriate levels of care.

CSP2023: 455 - Establishment and evaluation of a referral triage service within the role of a first contact physiotherapist

CSP2023: 455 - Establishment and evaluation of a referral triage service within the role of a first contact physiotherapist

Consultant led triage of new referrals: Protecting the one stop clinic

Consultant led triage of new referrals: Protecting the one stop clinic

E017 An early inflammatory arthritis questionnaire to enable enhanced triage and a scoping exercise to assess clinical utility

Abstract Background/Aims The quality of early inflammatory arthritis (EIA) referrals from primary care can vary even with a standardised referral form leading to large numbers of non-EIA patients being seen. Poor utilisation of EIA slots places pressure on an EIA service’s ability to see suspected EIA patients within 3 weeks of referral. To overcome this challenge, a questionnaire was devised to enable enhanced EIA triage and a scoping exercise was carried out to assess clinical utility. Methods 50 patients attending the EIA clinic completed the questionnaire (Table 1) either self-administered or via telephone prior to their appointment. Early Inflammatory Arthritis Screening Questionnaire (Table 1) Positive answers were scored 1 with a maximum score of 11. Following their appointment, the patient diagnosis was collected from patient records. Results Of the 50 patients, 14 (28%) had a confirmed EIA diagnosis and the other 36 (72%) patients had a range of alternative diagnoses. In the confirmed EIA group, the scores ranged from 5-8/11 with an average mean score of 7.0 and median of 7. Further analysis showed patients with a score over 5/11 including symptom duration of 12 months and under (Q1) identified all the confirmed EIA patients. Applying the above criteria to our 50 study patients resulted in 27/50 patients qualifying for an EIA appointment slot and 14/27 (52%) would have been confirmed with EIA. After applying these cut off criteria the sensitivity of the questionnaire was 100% and the specificity was 64%. The non-EIA group scores ranged from 0 - 8/11 with an average mean score of 4.9 and median score of 5. Conclusion In our service triage of EIA referrals on a standardised form resulted in poor utilisation of EIA slots. Triage using the questionnaire improved the EIA slot allocation and increased EIA conversion rate from 28% to 50%. This questionnaire appears to be a promising tool to improve utilisation of EIA appointments. Telephone assessment could be delivered by any member of the multidisciplinary team. Disclosure J. Burton: None. R. Sathananthan: None. S. Levy: None. N. Horwood: None. T. Ahmed: None. R. Suresh: None.

Feasibility of Physiotherapist-Led Rheumatology Triage: A Randomized Study.

Given global shortages in the rheumatology workforce, the demand for rheumatology assessment often exceeds the capacity to provide timely access to care. Accurate triage of patient referrals is important to ensure appropriate utilization of finite resources. We assessed the feasibility of physiotherapist (PT)-led triage using a standardized protocol in identifying cases of inflammatory arthritis (IA), as compared to usual rheumatologist triage of referrals for joint pain, in a tertiary care rheumatology clinic. We performed a single-center, prospective, nonblinded, randomized, parallel-group feasibility study with referrals randomized in a 1:1 ratio to either PT-led vs usual rheumatologist triage. Standardized information was collected at referral receipt, triage, and clinic visit. Rheumatologist diagnosis was considered the gold standard for diagnosis of IA. One hundred two referrals were randomized to the PT-led triage arm and 101 to the rheumatologist arm. In the PT-led arm, 65% of referrals triaged as urgent were confirmed to have IA vs 60% in the rheumatologist arm (P = 0.57), suggesting similar accuracy in identifying IA. More referrals were declined in the PT-led triage arm (24 vs 8, P = 0.002), resulting in fewer referrals triaged as semiurgent (6 vs 23, P = 0.003). One case of IA (rheumatologist arm) was incorrectly triaged, resulting in significant delay in time to first assessment. PT-led triage was feasible, appeared as reliable as rheumatologist triage of referrals for joint pain, and led to significantly fewer patients requiring in-clinic visits. This has implications for waitlist management and optimal rheumatology resource utilization.

RobOCTNet: Robotics and Deep Learning for Referable Posterior Segment Pathology Detection in an Emergency Department Population.

To evaluate the diagnostic performance of a robotically aligned optical coherence tomography (RAOCT) system coupled with a deep learning model in detecting referable posterior segment pathology in OCT images of emergency department patients. A deep learning model, RobOCTNet, was trained and internally tested to classify OCT images as referable versus non-referable for ophthalmology consultation. For external testing, emergency department patients with signs or symptoms warranting evaluation of the posterior segment were imaged with RAOCT. RobOCTNet was used to classify the images. Model performance was evaluated against a reference standard based on clinical diagnosis and retina specialist OCT review. We included 90,250 OCT images for training and 1489 images for internal testing. RobOCTNet achieved an area under the curve (AUC) of 1.00 (95% confidence interval [CI], 0.99-1.00) for detection of referable posterior segment pathology in the internal test set. For external testing, RAOCT was used to image 72 eyes of 38 emergency department patients. In this set, RobOCTNet had an AUC of 0.91 (95% CI, 0.82-0.97), a sensitivity of 95% (95% CI, 87%-100%), and a specificity of 76% (95% CI, 62%-91%). The model's performance was comparable to two human experts' performance. A robotically aligned OCT coupled with a deep learning model demonstrated high diagnostic performance in detecting referable posterior segment pathology in a cohort of emergency department patients. Robotically aligned OCT coupled with a deep learning model may have the potential to improve emergency department patient triage for ophthalmology referral.

Optimising triage of urgent referrals for suspected IBD: results from the Birmingham IBD inception study

ObjectiveDiagnostic delays in inflammatory bowel disease (IBD) result in adverse outcomes. We report a bespoke diagnostic pathway to assess how best to combine clinical history and faecal calprotectin (FCP) for...

The symptom to assessment pathway for suspected chronic limb-threatening ischaemia (CLTI) affects quality of care: a process mapping exercise

BackgroundDelays in the pathway from first symptom to treatment of chronic limb-threatening ischaemia (CLTI) are associated with worse mortality and limb loss outcomes. This study examined the processes used by...

Referrals to a Surgical Emergency Clinic in a District General Hospital

Abstract Aims The referral pathway for the consultant-led Surgical Emergency Clinic (SEC) at our District General Hospital has no triage process. Anecdotally there are issues with inappropriate patients being booked for this clinic, taking up valuable slots and consultant time, and causing patient dissatisfaction. This was audited to see how the clinic is being utilised. Methods A retrospective case note review spanning 8 months looked at 250 patients seen in SEC. The origin of referrals, reason for referral, investigations, and clinic outcomes were recorded. Using this, patients were classified as ‘appropriate’ or ‘inappropriate’ for SEC. Results Referrals came from the following sources: 158 from general practice, 54 from the emergency department, and 38 directly from the surgical team. 58% were deemed to be appropriate referrals, while the remaining 42% were deemed inappropriate for SEC. 84 patients (33.6%) had imaging performed on the same day as their appointment, while 74 patients (30%) had investigations requested for a later date. 156 (62.4%) patients were discharged, 25 (10%) were redirected to a suitable surgical specialty outpatient clinic, and 16 (6.4%) were referred to other specialties. 10.4% had an acute surgical admission or same day CEPOD theatre, and 8.4% were listed for theatre on an elective/urgent basis. Conclusion This suggests SEC is not being used optimally and highlights a need to restructure the referral process. Physician Associates and Advanced Clinical Practitioners will be trained to assist consultants and triage referrals to improve patient flow, the efficiency of SEC, and hopefully the patient experience.