Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries.

INTRODUCTION: Audits are an integral part of effective modern healthcare. The collection of data for audits can be resource intensive. Large language models (LLM) may be able to assist. This pilot study aimed to assess the feasibility of using a LLM to extract stroke audit data from free-text medical documentation. METHOD: Discharge summaries from a one-month retrospective cohort of stroke admissions at a tertiary hospital were collected. A locally-deployed LLM, LLaMA3, was then used to extract a variety of routine stroke audit data from free-text discharge summaries. These data were compared to the previously collected human audit data in the statewide registry. Manual case note review was undertaken in cases of discordance. RESULTS: Overall, there was a total of 144 data points that were extracted (9 data points for each of the 16 patients). The LLM was correct in 135/144 (93.8%) of individual datapoints. This performance included binary categorical, multiple-option categorical, datetime, and free-text extraction fields. CONCLUSIONS: LLM may be able to assist with the efficient collection of stroke audit data. Such approaches may be pursued in other specialties. Future studies should seek to examine the most effective way to deploy such approaches in conjunction with human auditors and researchers.

Prognostic significance of paramagnetic rim lesions in multiple sclerosis: A systematic review.

The diagnostic potential of paramagnetic rim lesions (PRLs) has been previously established; however, the prognostic significance of these lesions has not previously been consistently described. This study aimed to establish the prognostic role of PRLs in MS with respect to the Expanded Disability Status Scale (EDSS) and rates of disability progression. Databases of PubMed, EMBASE, Scopus and reference lists of selected articles were searched up to 29/04/2023. The review was conducted in accordance with PRISMA guidelines and was registered prospectively on PROSPERO (CRD42023422052). 7 studies were included in the final review. All of the eligible studies found that patients with PRLs tend to have higher baseline EDSS scores. Longitudinal assessments revealed greater EDSS progression in patients with PRLs over time in most studies. However, the effect of location of PRLs within the central nervous system were not assessed across the studies. Only one study investigated progression independent of relapse activity (PIRA) and showed that this clinical entity occurred in a greater proportion in patients with PRLs. This review supports PRLs as a predictor of EDSS progression. This measure has widespread applicability, however further multicentre studies are needed. Future research should explore the impact of PRLs on silent disability, PIRA, take into account different MS phenotypes and the topography of PRLs in prognosis.

Metamorphopsia with SMART Syndrome: A Case Report.

Introduction: SMART syndrome is a rare complication of brain radiotherapy. This is the first described presentation of SMART syndrome with metamorphopsia, which responded to aspirin, verapamil, and high-dose L-arginine therapy. Case Presentation: A 43-year-old man presented with 3 weeks of migraine headaches with metamorphopsia and complex visual hallucinations affecting the left lower quadrant of both visual fields. This occurred on a background of high-dose radiotherapy for right cerebellar astrocytoma 32 years ago. MRI brain demonstrated unilateral gyriform enhancement and FLAIR hyperintense cortical swelling in the right occipital lobe consistent with SMART syndrome. Conclusion: Unusual presentations of SMART syndrome exist and require consideration in all patients with focal neurological deficit post-brain radiotherapy. Validated diagnostic and treatment modalities for SMART syndrome are urgently required.

Resuscitation orders demonstrate differences by gender, stroke type and intervention.

BACKGROUND AND PURPOSE: Resuscitation orders describe individual preferences and types of intervention, such as suitability for cardiopulmonary resuscitation (CPR), that may provide benefit in the event of critical deterioration. The purpose of this study was to examine stroke inpatient resuscitation order completion and content. METHODS: This retrospective cohort study examined resuscitation orders in consecutive individuals admitted to a tertiary stroke centre over a 21-month period. Multivariable logistic regression was used to identify factors associated with resuscitation order completion and content. RESULTS: 1924 individuals were included in the study. The proportion of individuals who had resuscitation orders completed was 37.4%. Several factors were associated with an increased likelihood of resuscitation order completion including having received endovascular thrombectomy (p=0.013) and having intracerebral haemorrhage (p=0.001). Females were more likely to have a resuscitation order that is not for CPR (p=0.021, OR 95%CI 1.080-2.542). Patients with intracerebral haemorrhage were also more likely to be not for CPR (p=0.037, OR 95%CI 1.039-3.353). CONCLUSIONS: Disparities exist in resuscitation order completion and content based on demographic and stroke characteristics. Further research is required to identify the reasons for these differences and to optimise resuscitation order completion.

Meeting medical emergency response criteria for hypertension is not associated with an increased likelihood of in-hospital mortality in a tertiary referral center.

Backgrounds: Rapid response team or medical emergency team (MET) calls are typically activated by significant alterations of vital signs in inpatients. However, the clinical significance of a specific criterion, blood pressure elevations, is uncertain. Objectives: The aim of this study was to evaluate the likelihood ratios associated with MET-activating vital signs, particularly in-patient hypertension, for predicting in-hospital mortality among general medicine inpatients who met MET criteria at any point during admission in a South Australian metropolitan teaching hospital. Results: Among the 15,734 admissions over a two-year period, 4282 (27.2%) met any MET criteria, with a positive likelihood ratio of 3.05 (95% CI 2.93 to 3.18) for in-hospital mortality. Individual MET criteria were significantly associated with in-hospital mortality, with the highest positive likelihood ratio for respiratory rate ≤ 7 breaths per minute (9.83, 95% CI 6.90 to 13.62), barring systolic pressure ≥ 200 mmHg (LR + 1.26, 95% CI 0.86 to 1.69). Conclusions: Our results show that meeting the MET criteria for hypertension, unlike other criteria, was not significant associated with in-hospital mortality. This observation warrants further research in other patient cohorts to determine whether blood pressure elevations should be routinely included in MET criteria.

Disseminated Aspergillosis with Mediastinal Invasion Causing Fatal Stroke in an Immunocompetent Young Man.

Introduction: Aspergillus flavus is a common cause of aspergillosis. Case Presentation: A previously fit and well, immunocompetent 27-year-old male living in Australia developed disseminated A. flavus complex infection with mediastinal and cardiac invasion, superior vena cava obstruction and stroke, with fatal haemorrhagic transformation. Conclusion: Aspergillus Flavus is a rare but important cause of serious disease in the immunocompetent.

Subcutaneous sodium valproate in palliative care: A systematic review.

BACKGROUND: Seizures are an important palliative symptom, the management of which can be complicated by patients' capacity to swallow oral medications. In this setting, and the wish to avoid intravenous access, subcutaneous infusions may be employed. Options for antiseizure medications that can be provided subcutaneously may be limited. Subcutaneous sodium valproate may be an additional management strategy. AIM: To evaluate the published experience of subcutaneous valproate use in palliative care, namely with respect to effectiveness and tolerability. DESIGN: A systematic review was registered (PROSPERO CRD42023453427), conducted and reported according to PRISMA reporting guidelines. DATA SOURCES: The databases PubMed, EMBASE and Scopus were searched for publications until August 11, 2023. RESULTS: The searches returned 429 results, of which six fulfilled inclusion criteria. Case series were the most common study design, and most studies included <10 individuals who received subcutaneous sodium valproate. There were three studies that presented results on the utility of subcutaneous sodium valproate for seizure control, which described it to be an effective strategy. One study also described it as an effective treatment for neuropathic pain. The doses were often based on presumed 1:1 oral to subcutaneous conversion ratios. Only one study described a local site adverse reaction, which resolved with a change of administration site. CONCLUSIONS: There are limited data on the use of subcutaneous sodium valproate in palliative care. However, palliative symptoms for which subcutaneous sodium valproate have been used successfully are seizures and neuropathic pain. The available data have described few adverse effects, supporting its use with an appropriate degree of caution.

Renal disease is not associated with delays in hyperacute stroke management in South Australia.

OBJECTIVE: The aims of the present study were to determine how renal disease is associated with the time to receive hyperacute stroke care. METHODS: The present study involved a 5-year cohort of all patients admitted to stroke units in South Australia. RESULTS: In those with pre-existing renal disease there were no significant differences in the time taken to receive a scan, thrombolysis or endovascular thrombectomy. CONCLUSIONS: The present study shows that in protocolised settings there were no significant delays in hyperacute stroke management for patients with renal disease.

Vital sign measurements demonstrate terminal digit bias and boundary effects.

OBJECTIVE: The measurement and recording of vital signs may be impacted by biases, including preferences for even and round numbers. However, other biases, such as variation due to defined numerical boundaries (also known as boundary effects), may be present in vital signs data and have not yet been investigated in a medical setting. We aimed to assess vital signs data for such biases. These parameters are clinically significant as they influence care escalation. METHODS: Vital signs data (heart rate, respiratory rate, oxygen saturation and systolic blood pressure) were collected from a tertiary hospital electronic medical record over a 2-year period. These data were analysed using polynomial regression with additional terms to assess for underreporting of out-of-range observations and overreporting numbers with terminal digits of 0 (round numbers), 2 (even numbers) and 5. RESULTS: It was found that heart rate, oxygen saturation and systolic blood pressure demonstrated 'boundary effects', with values inside the 'normal' range disproportionately more likely to be recorded. Even number bias was observed in systolic heart rate, respiratory rate and blood pressure. Preference for multiples of 5 was observed for heart rate and blood pressure. Independent overrepresentation of multiples of 10 was demonstrated in heart rate data. CONCLUSION: Although often considered objective, vital signs data are affected by bias. These biases may impact the care patients receive. Additionally, it may have implications for creating and training machine learning models that utilise vital signs data.

Identifying epilepsy surgery referral candidates with natural language processing in an Australian context.

OBJECTIVE: Epilepsy surgery is known to be underutilized. Machine learning-natural language processing (ML-NLP) may be able to assist with identifying patients suitable for referral for epilepsy surgery evaluation. METHODS: Data were collected from two tertiary hospitals for patients seen in neurology outpatients for whom the diagnosis of "epilepsy" was mentioned. Individual case note review was undertaken to characterize the nature of the diagnoses discussed in these notes, and whether those with epilepsy fulfilled prespecified criteria for epilepsy surgery workup (namely focal drug refractory epilepsy without contraindications). ML-NLP algorithms were then developed using fivefold cross-validation on the first free-text clinic note for each patient to identify these criteria. RESULTS: There were 457 notes included in the study, of which 250 patients had epilepsy. There were 37 (14.8%) individuals who fulfilled the prespecified criteria for epilepsy surgery referral without described contraindications, 32 (12.8%) of whom were not referred for epilepsy surgical evaluation in the given clinic visit. In the prediction of suitability for epilepsy surgery workup using the prespecified criteria, the tested models performed similarly. For example, the random forest model returned an area under the receiver operator characteristic curve of 0.97 (95% confidence interval 0.93-1.0) for this task, sensitivity of 1.0, and specificity of 0.93. SIGNIFICANCE: This study has shown that there are patients in tertiary hospitals in South Australia who fulfill prespecified criteria for epilepsy surgery evaluation who may not have been referred for such evaluation. ML-NLP may assist with the identification of patients suitable for such referral. PLAIN LANGUAGE SUMMARY: Epilepsy surgery is a beneficial treatment for selected individuals with drug-resistant epilepsy. However, it is vastly underutilized. One reason for this underutilization is a lack of prompt referral of possible epilepsy surgery candidates to comprehensive epilepsy centers. Natural language processing, coupled with machine learning, may be able to identify possible epilepsy surgery candidates through the analysis of unstructured clinic notes. This study, conducted in two tertiary hospitals in South Australia, demonstrated that there are individuals who fulfill criteria for epilepsy surgery evaluation referral but have not yet been referred. Machine learning-natural language processing demonstrates promising results in assisting with the identification of such suitable candidates in Australia.

Pre-stroke anticoagulation for atrial fibrillation in primary English speakers and non-primary English speakers: a multicentre retrospective cohort study.

BACKGROUND: Anticoagulation can prevent most strokes in individuals with atrial fibrillation (AF); however, many people presenting with stroke and known AF are not anticoagulated. Language barriers and poor health literacy have previously been associated with decreased patient medication adherence. The association between language barriers and initiation of anticoagulation therapy for AF is uncertain. AIMS: The aims of this study were to determine whether demographic factors, including non-English primary language, were (1) associated with not being initiated on anticoagulation for known AF prior to admission with stroke, and (2) associated with non-adherence to anticoagulation in the setting of known AF prior to admission with stroke. METHODS: A multicentre retrospective cohort study was conducted for consecutive individuals admitted to the three South Australian tertiary hospitals with stroke units over a 5-year period. RESULTS: There were 6829 individuals admitted with stroke. These cases included 5835 ischaemic stroke patients, 1333 of whom had pre-existing AF. Only 40.0% presenting with ischaemic stroke in the setting of known pre-existing AF were anticoagulated. When controlling for demographics, socioeconomic status and past medical history (including the components of the CHADS2VASC score and anticoagulation contraindications), having a primary language other than English was associated with a lower likelihood of having been commenced on anticoagulant for known pre-stroke AF (odds ratio: 0.52, 95% confidence interval: 0.36-0.77, P = 0.001), but was not associated with a differing likelihood of anticoagulation adherence. CONCLUSIONS: A significant proportion of patients with stroke have pre-existing unanticoagulated AF; these rates are substantially higher if the primary language is other than English. Targeted research and interventions to minimise evidence-treatment gaps in this cohort may significantly reduce stroke burden.

Sensorineural hearing loss after cardiac surgery: a systematic review.

BACKGROUND: Sensorineural hearing loss (SNHL) may occur following cardiac surgery. Although preventing post-operative complications is vitally important in cardiac surgery, there are few guidelines regarding this issue. This review aimed to characterize SNHL after cardiac surgery. METHOD: This systematic review was registered on PROSPERO and conducted in accordance with PRISMA guidelines. A systematic search of the PubMed, Embase and Cochrane Library were conducted from inception. Eligibility determination, data extraction and methodological quality analysis were conducted in duplicate. RESULTS: There were 23 studies included in the review. In the adult population, there were six cohort studies, which included 36 cases of hearing loss in a total of 7135 patients (5.05 cases per 1000 operations). In seven cohort studies including paediatric patients, there were 88 cases of hearing loss in a total of 1342 operations. The majority of cases of hearing loss were mild in the adult population (56.6%). In the paediatric population 59.2% of hearing loss cases had moderate or worse hearing loss. The hearing loss most often affected the higher frequencies, over 6000 Hz. There have been studies indicating an association between hearing loss and extracorporeal circulation, but cases have also occurred without this intervention. CONCLUSION: SNHL is a rare but potentially serious complication after cardiac surgery. This hearing loss affects both paediatric and adult populations and may have significant long-term impacts. Further research is required, particularly with respect to the consideration of screening for SNHL in children after cardiac surgery.

Intravenous immunoglobulin alteration in response to adverse reactions in neurological conditions: A retrospective cohort study.

INTRODUCTION: Intravenous immunoglobulin (IVIg) is an important treatment in a range of neurological conditions. There is currently limited evidence regarding the frequency and management of IVIg-associated adverse reactions (AR) in neurological disorders. METHODS: A single-centre 18-month retrospective cohort study was conducted for all patients at a single tertiary hospital receiving IVIg as an inpatient or the medical day unit. Electronic medical record AR and alerts were reviewed for entries relating to IVIg, and prescribing records associated with recent IVIg administration were reviewed for the use of premedications. Case note review was undertaken to identify AR associated with alterations in IVIg treatment (such as reduction in rate, use of premedications or cessation of IVIg). Demographic, patient, and treatment factors were analysed for associations with AR necessitating alteration in IVIg treatment. RESULTS: This study included 98 individuals who received IVIg during the study period. Of these, 12 (12.1%) patients required an alteration in their IVIg treatment. In total, 3 (3.1%) of the 98 included patients required a reduced rate of IVIg, and 10 (10.2%) patients received premedication. The most common premedications were normal saline at the time of the infusion, cetirizine, and hydrocortisone. No demographic factors, indications or comorbidities were found to be associated with an increased likelihood of AR. However, an IVIg daily dose of >35 g and >45 g were associated with an increased likelihood of requiring IVIg treatment alteration due to AR. CONCLUSIONS: Alterations to IVIg treatment due to AR are commonly required in neurology patients, and may be associated with higher daily doses of IVIg.

Surgery's Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery.

BACKGROUND: This study aimed to examine the accuracy with which multiple natural language processing artificial intelligence models could predict discharge and readmissions after general surgery. METHODS: Natural language processing models were derived and validated to predict discharge within the next 48 hours and 7 days and readmission within 30 days (based on daily ward round notes and discharge summaries, respectively) for general surgery inpatients at 2 South Australian hospitals. Natural language processing models included logistic regression, artificial neural networks, and Bidirectional Encoder Representations from Transformers. RESULTS: For discharge prediction analyses, 14,690 admissions were included. For readmission prediction analyses, 12,457 patients were included. For prediction of discharge within 48 hours, derivation and validation data set area under the receiver operator characteristic curves were, respectively: 0.86 and 0.86 for Bidirectional Encoder Representations from Transformers, 0.82 and 0.81 for logistic regression, and 0.82 and 0.81 for artificial neural networks. For prediction of discharge within 7 days, derivation and validation data set area under the receiver operator characteristic curves were, respectively: 0.82 and 0.81 for Bidirectional Encoder Representations from Transformers, 0.75 and 0.72 for logistic regression, and 0.68 and 0.67 for artificial neural networks. For readmission prediction within 30 days, derivation and validation data set area under the receiver operator characteristic curves were, respectively: 0.55 and 0.59 for Bidirectional Encoder Representations from Transformers and 0.77 and 0.62 for logistic regression. CONCLUSION: Modern natural language processing models, particularly Bidirectional Encoder Representations from Transformers, can effectively and accurately identify general surgery patients who will be discharged in the next 48 hours. However, these approaches are less capable of identifying general surgery patients who will be discharged within the next 7 days or who will experience readmission within 30 days of discharge.

Opioid prescribing, pain, and hospital stay of general surgery patients with oxycodone allergies in South Australia.

BACKGROUND: The frequency of oxycodone adverse reactions, subsequent opioid prescription, effect on pain and patient care in general surgery patients are not well known. This study aimed to determine prevalence of documented oxycodone allergy and intolerances (independent variables) in a general surgical cohort, and association with prescribing other analgesics (particularly opioids), subjective pain scores, and length of hospital stay (dependent variables). METHODS: This retrospective cohort study included general surgery patients from two South Australian hospitals between April 2020 and March 2022. Multivariable logistic regression evaluated associations between previous oxycodone allergies and intolerances, prescription records, subjective pain scores, and length of hospital stay. RESULTS: Of 12 846 patients, 216 (1.7%) had oxycodone allergies, and 84 (0.7%) oxycodone intolerances. The 216 oxycodone allergy patients had lower odds of receiving oxycodone (OR 0.17, P < 0.001), higher odds of tramadol (OR 3.01, P < 0.001) and tapentadol (OR 2.87, P = 0.001), but 91 (42.3%) still received oxycodone and 19 (8.8%) morphine. The 84 with oxycodone intolerance patients had lower odds of receiving oxycodone (OR 0.23, P < 0.001), higher odds of fentanyl (OR 3.6, P < 0.001) and tramadol (OR 3.35, P < 0.001), but 42 (50%) still received oxycodone. Patients with oxycodone allergies and intolerances had higher odds of elevated subjective pain (OR 1.60, P = 0.013; OR 2.36, P = 0.002, respectively) and longer length of stay (OR 1.36, P = 0.038; OR 2.24, P = 0.002, respectively) than patients without these. CONCLUSIONS: General surgery patients with oxycodone allergies and intolerances are at greater risk of worse postoperative pain and longer length of stay, compared to patients without. Many still receive oxycodone, and other opioids that could cause cross-reactivity.

Vital signs and medical emergency response (MER) activation predict in-hospital mortality in general surgery patients: a study of 15 969 admissions.

BACKGROUND: The applicability of the vital signs prompting medical emergency response (MER) activation has not previously been examined specifically in a large general surgical cohort. This study aimed to characterize the distribution, and predictive performance, of four vital signs selected based on Australian guidelines (oxygen saturation, respiratory rate, systolic blood pressure and heart rate); with those of the MER activation criteria. METHODS: A retrospective cohort study was conducted including patients admitted under general surgical services of two hospitals in South Australia over 2 years. Likelihood ratios for patients meeting MER activation criteria, or a vital sign in the most extreme 1% for general surgery inpatients (<0.5th percentile or > 99.5th percentile), were calculated to predict in-hospital mortality. RESULTS: 15 969 inpatient admissions were included comprising 2 254 617 total vital sign observations. The 0.5th and 99.5th centile for heart rate was 48 and 133, systolic blood pressure 85 and 184, respiratory rate 10 and 31, and oxygen saturations 89% and 100%, respectively. MER activation criteria with the highest positive likelihood ratio for in-hospital mortality were heart rate ≤ 39 (37.65, 95% CI 27.71-49.51), respiratory rate ≥ 31 (15.79, 95% CI 12.82-19.07), and respiratory rate ≤ 7 (10.53, 95% CI 6.79-14.84). These MER activation criteria likelihood ratios were similar to those derived when applying a threshold of the most extreme 1% of vital signs. CONCLUSIONS: This study demonstrated that vital signs within Australian guidelines, and escalation to MER activation, appropriately predict in-hospital mortality in a large cohort of patients admitted to general surgical services in South Australia.

Delays in the diagnosis of ischaemic stroke presenting with persistent reduced level of consciousness: A systematic review.

INTRODUCTION: Stroke presenting with a reduced level of consciousness (RLOC) may result in diagnostic error and/or delay. Missed or delayed diagnosis of acute ischaemic stroke may preclude otherwise applicable hyperacute stroke interventions. The frequency, reasons for, and consequences of diagnostic error and delay due to RLOC are uncertain. METHOD: The databases PubMed, EMBASE, and Cochrane library were searched in adherence with the PRISMA guidelines. The systematic review was prospectively registered on PROSPERO. RESULTS: Initial searches returned 1162 results, of which 6 fulfilled inclusion criteria. The majority of identified studies show that ischaemic stroke presenting with RLOC is at increased risk of missed or delayed diagnosis. Hyperacute stroke interventions may also be delayed. There is limited evidence regarding the reason for these delays; however, the delays may result from neuroimaging delay associated with diagnostic uncertainty. There is also limited evidence regarding the outcomes of patients with stroke and RLOC who experience diagnostic delay; however, the available literature suggests that outcomes may be poor, including motor and cognitive impairment, as well as long-term impaired consciousness. The included studies did not evaluate, but have suggested urgent MRI access, educational interventions, and protocolisation of the evaluation of RLOC as means to reduce poor outcomes. CONCLUSIONS: Ischaemic stroke patients with RLOC are at risk of diagnostic delay and error. These patients may have poor outcomes. Additional research is required to identify the contributing factors more clearly and to provide amelioration strategies.

Identifying epilepsy surgery candidates with natural language processing: A systematic review.

INTRODUCTION: Epilepsy surgery is an underutilised, efficacious management strategy for selected individuals with drug-resistant epilepsy. Natural language processing (NLP) may aid in the identification of patients who are suitable to undergo evaluation for epilepsy surgery. The feasibility of this approach is yet to be determined. METHOD: In accordance with the PRISMA guidelines, a systematic review of the databases PubMed, EMBASE and Cochrane library was performed. This systematic review was prospectively registered on PROSPERO. RESULTS: 6 studies fulfilled inclusion criteria. The majority of included studies reported on datasets from only a single centre, with one study utilising data from two centres and one study six centres. The most commonly employed algorithms were support vector machines (5/6), with only one study utilising NLP strategies such as random forest models and gradient boosted machines. However, the results are promising, with all studies demonstrating moderate to high levels of performance in the identification of patients who may be suitable to undergo epilepsy surgery evaluation. Furthermore, multiple studies demonstrated that NLP could identify such patients 1-2 years prior to the treating clinicians instigating referral. However, no studies were identified that have evaluated the influence of implementing such algorithms on healthcare systems or patient outcomes. CONCLUSIONS: NLP is a promising approach to aid in the identification of patients that may be suitable to undergo epilepsy surgery evaluation. Further studies are required examining diverse datasets with additional analytical methodologies. Studies evaluating the impact of implementation of such algorithms would be beneficial.

Implementation of the South Australian Regional Telestroke service is associated with improved care quality and lower stroke mortality: A retrospective cohort study.

INTRODUCTION: Stroke in Regional Australia may have worse outcomes due to difficulties accessing optimal care. The South Australian Regional Telestroke service aimed to improve telestroke neurologist access, supported by improved ambulance triage. OBJECTIVE: To assess stroke care quality and patient mortality pre- and postimplementation of a vascular neurologist-led Telestroke service. DESIGN: Historically controlled mixed methods cohort study comparing key quality indicators and patient mortality (6 months pre- vs. 18 months postimplementation date [4 June 2018]) at the three major South Australian regional stroke centres. The primary outcome was 13 care quality indicators as a combined composite risk-adjusted score, and the secondary outcome was risk-adjusted mortality at 12-month postadmission. FINDINGS: On an annualised basis, of 189 patients with stroke, more were admitted postintervention to the regional stroke centres than in the control period (158 [annualised rate 105.3, 95% CI 86.2-127.4] vs. 31 [annualised rate 62.0, 95% CI 47.5-79.5]) Baseline patient characteristics were similar in both periods. Post-implementation, median last-known-well time to presentation (3.5 h [IQR 1.6-17] vs. 2.0 [IQR 1-14]; p = 0.46) and door to needle times (121 min [IQR 97-144] vs. 90 [IQR 75-138]; p = 0.65) were not significantly lower but an improvement in the combined composite quality score was observed (0.069 [95% CI 0.004-0.134; p = 0.04]), reflecting individual improvements in some quality indicators. Mortality at 12-month postimplementation was substantially lower postimplementation (prechange 23% vs. postchange 13% [hazard ratio 0.58 (95% CI 0.44-0.76; p < 0.001)]). CONCLUSION: Implementation of a South Australian Regional Telestroke service was associated with improved care metrics and lower mortality.