Assessment of Claimant, Clinical, and Financial Characteristics of Teleradiology Medical Malpractice Cases.

Background The increasing use of teleradiology has been accompanied by concerns relating to risk management and patient safety. Purpose To compare characteristics of teleradiology and nonteleradiology radiology malpractice cases and identify contributing factors underlying these cases. Materials and Methods In this retrospective analysis, a national database of medical malpractice cases was queried to identify cases involving telemedicine that closed between January 2010 and March 2022. Teleradiology malpractice cases were identified based on manual review of cases in which telemedicine was coded as one of the contributing factors. These cases were compared with nonteleradiology cases that closed during the same time period in which radiology had been determined to be the primary responsible clinical service. Claimant, clinical, and financial characteristics of the cases were recorded, and continuous or categorical data were compared using the Wilcoxon rank-sum test or Fisher exact test, respectively. Results This study included 135 teleradiology and 3474 radiology malpractices cases. The death of a patient occurred more frequently in teleradiology cases (48 of 135 [35.6%]) than in radiology cases (685 of 3474 [19.7%]; P < .001). Cerebrovascular disease was a more common final diagnosis in the teleradiology cases (13 of 135 [9.6%]) compared with the radiology cases (124 of 3474 [3.6%]; P = .002). Problems with communication among providers was a more frequent contributing factor in the teleradiology cases (35 of 135 [25.9%]) than in the radiology cases (439 of 3474 [12.6%]; P < .001). Teleradiology cases were more likely to close with indemnity payment (79 of 135 [58.5%]) than the radiology cases (1416 of 3474 [40.8%]; P < .001) and had a higher median indemnity payment than the radiology cases ($339 230 [IQR, $120 790-$731 615] vs $214 063 [IQR, $66 620-$585 424]; P = .01). Conclusion Compared with radiology cases, teleradiology cases had higher clinical and financial severity and were more likely to involve issues with communication. © RSNA, 2024 See also the editorial by Mezrich in this issue.

Assessing the impact of trained Radiologist Assistants in a busy emergency teleradiology practice: a comprehensive evaluation.

PURPOSE: This study aims to study the feasibility and usefulness of trained Radiologist Assistants in a busy emergency teleradiology practice. METHOD: This is a retrospective study over a 21-month period (January 2021 to September 2022). The study analysed archived data from 247118 peer review studies performed by Radiologist Assistants (RAs) out of a total case volume of 828526 and evaluated the rate of discrepancies, the study types commonly noted to have discrepancies, and the severity of errors. These missed findings were brought to the attention of the radiologists for approval and further decision-making. RESULTS: Peer review by RAs was performed on 30% (n = 247118) of the total volume 828526 studies reported, and yielded additional findings including but not limited to fractures (218; 23%), hemorrhage,(94; 10%) pulmonary thromboembolism, (n = 104; 11%), Calculus (n = 75; 8%) lesion (n = 66; 5%), appendicitis(n = 50; 4%) and others. These were brought to the attention of the radiologist, who agreed in 97% (1279 out of 1318) of cases, and communicated the same to the referring facility, with an addended report. CONCLUSION: Trained RAs can provide value to the peer review program of a busy teleradiology practice and decrease errors. This may be useful to meet the ongoing radiologist shortages.

ACVR and ECVDI consensus statement for teleradiology.

Increased demand for the interpretation of diagnostic images by board-certified radiologists and profound advancements in technology have led to extremely rapid growth in the field of veterinary teleradiology over the past decade. The aim of this consensus statement is to provide a guideline for best practices for quality and safety in veterinary teleradiology. The statement addresses appropriate image acquisition and transmission, the creation of teleradiology submissions, quality control in teleradiology, and appropriate documentation of imaging reports, as deficiencies in any of these areas may directly affect the standard of patient care. The consensus statement may be used as a guide for radiologists, primary care veterinarians, technicians, and students for the use of teleradiology in practice.

Role of emergency teleradiology in a mass motorcycle event: the experience of the 2021 International Six Days of Enduro (ISDE).

PURPOSE: Provision of healthcare support at mass gathering sporting events is of paramount importance for the success of the event. Many of such events, like motorsports, have been increasingly taking place in remote and austere environments. In these settings, the use of first-line diagnostic tools, such as point of care ultrasound and portable X-ray, could aid in definitive care on the field for patients with minor trauma while also ensuring fast access to the appropriate level of care for patients requiring hospitalization. METHODS: As part of the ISDE 2021 medical response plan, a field hospital equipped with portable digital X-ray and telemedicine was established. Data on patient admission, triage, treatments, diagnostics, and outcomes were collected for analysis. RESULTS: During the 6-day competition, 79 patients sought medical care at the field hospital, with traumatic injuries accounting for 77% of cases. Of these, 47 were athletes and 32 were non-athletes. The majority (91%) arrived spontaneously, while 9% were transported directly. Upon admission, 68 patients were triaged as non-urgent (code 3) and 11 as urgent (code 2). Of those admitted, 69 received treatment and were discharged at the field hospital, while 10 were transferred elsewhere. Notably, four patients had major trauma, two had isolated fractures, and one needed a CT scan after losing consciousness. Overall, 29 missions were conducted on the race field, including 13 primary transports to local hospitals and 6 to the field hospital. Primary transport was primarily due to major trauma. Among 31 patients who had radiological exams, 11 (35.5%) had traumatic injuries. Of these, 5 were treated with braces and casts and discharged without hospitalization, 3 were advised for post-event care, and 3 were hospitalized. In contrast, patients with negative X-rays received on-site treatment, with 7 able to continue competing. CONCLUSIONS: In summary, the successful implementation of portable X-ray machines and teleradiology at remote and austere high-risk sporting events holds great promise for enhancing on-site medical capabilities, allowing clinicians informed decisions, avoiding unnecessary hospitalization, and allowing athletes to continue with their competition. Provided that challenges related to cost, safety, connectivity, and power supply are effectively addressed.

Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD).

Storage and transmission of high-compression 3D radiological images that create high-quality reconstruction upon decompression are critical necessities for effective and efficient teleradiology. To cater to this need, we propose a near lossless 3D image volume compression method based on optimal multilinear singular value decomposition called "3D-VOI-OMLSVD." The proposed strategy first eliminates any blank 2D image slices from the 3D image volume and uses the selective bounding volume (SBV) to identify and extract the volume of Interest (VOI). Following this, the VOI is decomposed with an optimal multilinear singular value decomposition (OMLSVD) to obtain the corresponding core tensor, factor matrices, and singular values that are compressed with adaptive binary range coder (ABRC), integrated as an entropy encoder. The compressed file can be transferred or transmitted and then decompressed in order to reconstruct the original image. The resultant decompressed VOI is acquired by reversing the above process and then fusing it with the background, using the bound volume coordinates associated with the compressed 3D image. The proposed method performance was tested on a variety of 3D radiological images with different imaging modalities and dimensions using quantitative evaluation metrics such as the compression rate (CR), bit rate (BR), peak signal to noise ratio (PSNR), and structural similarity index (SSIM). Furthermore, we also investigate the impact of VOI extraction on the model performance, before comparing it with two popular compression methods, namely JPEG and JPEG2000. Our proposed method, 3D-VOI-OMLSVD, displayed a high CR value, with a maximum of 37.31, and a low BR, with the lowest reported to be 0.21. The SSIM score was consistently high, with an average performance of 0.9868, while using < 1 second for decoding the image. We observe that with VOI extraction, the compression rate increases manifold, and bit rate drops significantly, and thus reduces the encoding and decoding time to a great extent. Compared to JPEG and JPEG2000, our method consistently performs better in terms of higher CR and lower BR. The results indicate that the proposed compression methodology performs consistently to create high-quality image compressions, and overall gives a better outcome when compared against two state-of-the-art and widely used methods, JPEG and JPEG2000.

Interpretations of Examinations Outside of Radiologists' Fellowship Training: Assessment of Discrepancy Rates Among 5.9 Million Examinations From a National Teleradiology Databank.

BACKGROUND. In community settings, radiologists commonly function as multispecialty radiologists, interpreting examinations outside of their area of fellowship training. OBJECTIVE. The purpose of this article was to compare discrepancy rates for preliminary interpretations of acute community-setting examinations that are concordant versus discordant with interpreting radiologists' area of fellowship training. METHODS. This retrospective study used the databank of a U.S. teleradiology company that provides preliminary interpretations for client community hospitals. The analysis included 5,883,980 acute examinations performed from 2012 to 2016 that were preliminarily interpreted by 269 teleradiologists with a fellowship of neuroradiology, abdominal radiology, or musculoskeletal radiology. When providing final interpretations, client on-site radiologists voluntarily submitted quality assurance (QA) requests if preliminary and final interpretations were discrepant; the teleradiology company's QA committee categorized discrepancies as major (n = 8444) or minor (n = 17,208). Associations among examination type (common vs advanced), relationship between examination subspecialty and the teleradiologist's fellowship (concordant vs discordant), and major and minor discrepancies were assessed using three-way conditional analyses with generalized estimating equations. RESULTS. For examinations with a concordant subspecialty, the major discrepancy rate was lower for common than for advanced examinations (0.13% vs 0.26%; relative risk [RR], 0.50, 95% CI, 0.42-0.60; p < .001). For examinations with a discordant subspecialty, the major discrepancy rate was lower for common than advanced examinations (0.14% vs 0.18%; RR, 0.81; 95% CI, 0.72-0.90; p < .001). For common examinations, the major discrepancy rate was not different between examinations with concordant versus discordant subspecialty (0.13% vs 0.14%; RR, 0.90; 95% CI, 0.81-1.01; p = .07). For advanced examinations, the major discrepancy rate was higher for examinations with concordant versus discordant subspecialty (0.26% vs 0.18%; RR, 1.45; 95% CI, 1.18-1.79; p < .001). The minor discrepancy rate was higher among advanced examinations for those with concordant versus discordant subspecialty (0.34% vs 0.29%; RR, 1.17; 95% CI, 1.00-1.36; p = .04), but not different for other comparisons (p > .05). CONCLUSION. Major and minor discrepancy rates were not higher for acute community-setting examinations outside of interpreting radiologists' fellowship training. Discrepancy rates increased for advanced examinations. CLINICAL IMPACT. The findings support multispecialty radiologist practice in acute community settings. Efforts to match examination and interpreting radiologist sub-specialty may not reduce diagnostic discrepancies.

Dicoogle Open Source: The Establishment of a New Paradigm in Medical Imaging.

The rapid and continuous growth of data volume and its heterogeneity has become one of the most noticeable trends in healthcare, namely in medical imaging. This evolution led to the deployment of specialized information systems supported by the DICOM standard that enables the interoperability of distinct components, including imaging modalities, repositories, and visualization workstations. However, the complexity of these ecosystems leads to challenging learning curves and makes it time-consuming to mock and apply new ideas. Dicoogle is an extensible medical imaging archive server that emerges as a tool to overcome those challenges. Its extensible architecture allows the fast development of new advanced features or extends existent ones. It is currently a fundamental enabling technology in collaborative and telehealthcare environments, including research projects, screening programs, and teleradiology services. The framework is supported by a Learning Pack that includes a description of the web programmatic interface, a software development kit, documentation, and implementation samples. This article gives an in-depth view of the Dicoogle ecosystem, state-of-the-art contributions, and community impact. It starts by presenting an overview of its architectural concept, highlights some of the most representative research backed up by Dicoogle, some remarks obtained from its use in teaching, and worldwide usage statistics of the software. Finally, the positioning of Dicoogle in the medical imaging software field is discussed through comparison with other well-known solutions.

Teleworking beyond teleradiology: managing radiology departments during the COVID-19 outbreak.

Teleradiology solutions are playing an essential role during the COVID-19 outbreak. Activity at radiology departments must be maintained and adapted to this new situation beyond teleradiology. Teleworking should be extended to the rest of non-medical radiology department areas. A comprehensive perspective based on our own experience during the COVID-19 outbreak has been performed highlighting the value of teleworking for almost all areas implied in the workflow of radiology departments beyond radiologists. Personal and technical requirements for successfully adapting to this new scenario are discussed including the opportunities that this unprecedent situation is bringing for reorganizing workflow and developing new projects. KEY POINTS: • Teleradiology solutions are playing an essential role during the COVID-19 outbreak. • Teleworking should be extended to the rest of non-medical radiology department areas whenever possible.

Smartphone evaluation of postero-anterior chest x-rays: An inter-observer study.

BACKGROUND: Posterior-anterior chest x-ray (PA-CXR) is among the most commonly used imaging methods in the diagnosis both in the emergency departments (ED) and the other clinics. The aim of the present study was to evaluate the diagnostic reliability of PA-CXRs sent via a smartphone. METHODS: This study was conducted as an inter-observer study. PA-CXRs were photographed with a smartphone and they were sent to two separate participants (emergency medicine specialists one with 4 years experience and another with 3) via the WhatsApp application. And the participants evaluated to these images on their mobile phone. RESULTS: A poor concordance was determined in a ratio of 3/8 and good concordance was detected in a ratio of 3/8 between the two participants (p < 0.05). It was observed that only the mediastinum assessments could be an alternative to the gold standard (p < 0.01). CONCLUSION: We may conclude that the assessments done via a smartphone (photographing and sharing) may not be reliable.

Emergence of teleradiology, PACS, and other radiology IT solutions in Acta Radiologica.

For this historical review, we searched a database containing all the articles published in Acta Radiologica during its 100-year history to find those on the use of information technology (IT) in radiology. After reading the full texts, we selected the presented articles according to major radiology IT domains such as teleradiology, picture archiving and communication systems, image processing, image analysis, and computer-aided diagnostics in order to describe the development as it appeared in the journal. Publications generally follow IT megatrends, but because the contents of Acta Radiologica are mainly clinically oriented, some technology achievements appear later than they do in journals discussing mainly imaging informatics topics.

The challenge of environmental sustainability in radiology training and potential solutions.

The environmental impact of training has been poorly recognised for many years. With the emergence of high-profile climate activists and a wider appreciation of the need for sustainable healthcare, training within radiology can no longer be excused from its responsibility to consider the environment in its actions. In this paper, we aim to evaluate the environmental impact of the travel undertaken by trainees within the Peninsula training programme, with the aim of developing practices and providing suggestions (evidence-based where possible) on how to improve the impact on the environment of trainee travel. We envisage that many of the lessons and suggestions may be transferrable to other training schemes in the UK and further afield. During the early months of 2020, in addition to the environmental crisis, COVID-19 escalated to a pandemic resulting in the alteration of working practices across the UK (and the rest of the world). This led to many environmentally beneficial working practices being adopted in Radiology in the South West Peninsula Deanery, and throughout this paper we have evaluated these changes and used our collective experience of these to inform our suggestions on how to improve the environmental sustainability of Medical and Radiological training.

What Is the Best Way for Patients to Take Photographs of Medical Images (Radiographs, CT, and MRI) Using a Smartphone?

BACKGROUND: Teleradiology has become one of the most important approaches to virtual clinical diagnosis; its importance has only grown during the coronavirus 2019 pandemic. In developing countries, asking patients to take photographs of their images using a smartphone can facilitate the process and help keep its costs down. However, the images taken by patients with smartphones often are of poor quality, and there is no regulation or standard instruction about how to use smartphones to take photographs of medical examination images effectively. These problems limit the use of smartphones in remote diagnosis and treatment. QUESTIONS/PURPOSES: To formulate a set of guidelines for the most appropriate and effective use of smartphones to capture images (radiographs, CT images, and MR images), and to determine whether these guidelines are more effectively adopted by patients of differing ages and genders. METHODS: In this prospective study, a set of step-by-step instructions was created with the goal of helping patients take better smartphone photographs of orthopaedic diagnostic images for transfer to telemedicine services. Following the advice of surgeons, experts in smartphone technology, imaging experts, and suggestions from patients, the instructions were modified based on clinical experience and finalized with the goals of simplicity, clarity, and convenience. Potentially eligible patients were older than 18 years, had no cognitive impairment, and used smart phones. Based on that, 256 participants (patients or their relatives and friends) who visited the orthopaedic department of our hospital from June to October 2020 potentially qualified for this study. A total of 11% (29) declined to participate, leaving 89% (227) for analysis here. Their mean age was 36 ± 11 years, 50% were women (113 of 227), and the patient himself/herself represented in 34% (78 of 227) of participants while relatives or friends of patients made up 66% (149 of 227) of the group. In this study, the diagnoses included spinal stenosis (47% [107 of 227]), disc herniation without spinal stenosis (31% [71 of 227]), vertebral fractures (14% [32 of 227]), and other (7% [17 of 227]). Each study participant first took photographs of their original medical images based on their own knowledge of how to use the smartphone camera function; each participant then took pictures of their original images again after receiving our instructional guidance. Three senior spine surgeons (YZ, TQL, TCM) in our hospital analyzed, in a blinded manner, the instructed and uninstructed imaging files based on image clarity (the content of the image is complete, the text information in the image is clearly visible, there is neither reflection nor shadow in the image) and image position (it is not tilted, curled, inverted, or reversed). If either of these conditions was not satisfied, the picture quality was deemed unacceptable; two of three judges' votes determined the outcome. Interobserver reliability with kappa values for the three judges were 0.89 (YZ versus TQL), 0.92 (YZ versus TCM), and 0.90 (TQL versus TCM). RESULTS: In this study, the overall proportion of smartphone medical images deemed satisfactory increased from 40% (91 of 227) for uninstructed participants to 86% (196 of 227) for instructed participants (risk ratio 2.15 [95% CI 1.82 to 2.55]; p<0.001). The proportion of acceptable-quality images in different age groups improved after instruction, except for in patients aged 51 years or older (3 of 17 uninstructed participants versus 8 of 17 instructed participants; RR 2.67 [95% CI 0.85 to 8.37]; p = 0.07). The proportion of acceptable-quality images in both genders improved after instruction, but there was no difference between the genders. CONCLUSION: We believe our guidelines for patients who wish to take smartphone photographs of their medical images will decrease image transmission cost and facilitate orthopaedic telemedicine consultations. However, it appears that patients older than 50 years are more likely to have difficulty with this approach, and if so, they may benefit from more hands-on assistance from clinic staff or younger relatives or friends. The degree to which our findings are culture-specific should be verified by other studies in other settings, but on the face of it, there is little reason to believe our findings would not generalize to a reasonable degree. Other studies in more heterogeneous populations should also evaluate factors related to levels of educational attainment and wealth differences, but in the meantime, our findings can give clinical teams an idea of which patients may need a little extra assistance. LEVEL OF EVIDENCE: Level II, therapeutic study.

Radiologist errors by modality, anatomic region, and pathology for 1.6 million exams: what we have learned.

PURPOSE: To evaluate the feasibility of adding pathology to recent radiologist error characterization schemes of modality and anatomic region and the potential of this data to more specifically inform peer review and peer learning. METHODS: Quality assurance data originating from 349 radiologists in a national teleradiology practice were collected for 2019. Interpretive errors were simply categorized as major or minor. Reporting or communication errors were classified as administrative errors. Interpretive errors were then divided by modality, anatomic region and placed into one of 64 pathologic categories. RESULTS: Out of 1,628,464 studies, the discrepancy rate was 0.5% (8181/1,634,201). The 8181 total errors consisted of 2992 major errors (0.18%) and 5189 minor errors (0.32%). Precisely, 3.1% (257/8181) of total errors were administrative. Of major interpretive errors, 75.5% occurred on CT, with CT abdomen and pelvis accounting for 40.4%. The most common pathologic discrepancy for all exams was in the category of mass, nodule, or adenopathy (1583/8181), the majority of which were minor (1315/1583). The most common pathologic discrepancy for the 2937 major interpretive errors was fracture or dislocation (27%; 793/2937), followed by bleed (10.7%; 315/2937). CONCLUSION: The addition of error-related pathology to peer review is both feasible and practical and provides a more detailed guide to targeted individual and practice-wide peer learning quality improvement efforts. Future research is needed to determine if there are measurable improvements in detection or interpretation of specific pathologies following error feedback and educational interventions.

Rapid Deployment of Home PACS Workstations to Enable Social Distancing in the Coronavirus Disease (COVID-19) Era.

OBJECTIVE. Social distancing is considered an effective mitigation strategy for coronavirus disease (COVID-19), and remote interpretation of radiologic studies is one approach to social distancing within the radiology department. We describe the rapid deployment of home workstations to achieve social distancing in the radiology department at the University of Alabama at Birmingham. CONCLUSION. Transitioning from on-site interpretation to remote interpretation requires a careful balancing of hospital and departmental finances, engineering choices, and educational and philosophical workflow issues.

Implementation of a 24-Hour Teleradiology Service for Cruise Ships: A Pilot Study.

OBJECTIVE. The purpose of this study was to introduce a 24-hour teleradiology service for cruise ships as a novel concept in maritime telemedicine. SUBJECTS AND METHODS. One cruise ship equipped with a mobile radiography unit and digital storage imaging plates was involved in this pilot study. Radiographs were transmitted via satellite internet to a tertiary hospital on shore for image interpretation by expert radiologists. Use of a virtual private network (VPN) enabled secure data transfer. Radiographs and patient data were automatically integrated into the PACS and radiology information system of the radiology department at the hospital. Images were analyzed by the staff radiologist at the hospital, and reports were immediately returned via e-mail through the VPN tunnel. RESULTS. Seventy-five radiographs of 47 patients were obtained on board within 2 months. All datasets were successfully transmitted. Most of the examinations (35 [≈ 75%]) were skeletal radiographs; the other 12 (≈ 25%) were chest radiographs. The turnaround time for the radiology reports was within 30 minutes in 43 cases (≈ 92%). In four cases (≈ 8%), delay was due to technical and organizational issues at the tertiary hospital. CONCLUSION. With the objective of supporting ship physicians with expert analyses of radiographs, a secure and stable method of image and radiology report transmission between an onboard hospital and a land-based radiology department was established.

Emerging Challenges and Opportunities in the Evolution of Teleradiology.

OBJECTIVE. In recent decades, teleradiology has expanded considerably, and many radiology practices now engage in intraorganizational or extraorganizational teleradiology. In this era of patient primacy, optimizing patient care and care delivery is paramount. This article provides an update on recent changes, current challenges, and future opportunities centered around the ability of teleradiology to improve temporal and geographic imaging access. We review licensing and regulations and discuss teleradiology in providing services to rural areas and assisting with disaster response, including the response to the coronavirus disease (COVID-19) pandemic. CONCLUSION. Teleradiology can help increase imaging efficiency and mitigate both geographic and temporal discrepancies in imaging care. Technologic limitations and regulatory hurdles hinder the optimal practice of teleradiology, and future attention to these issues may help ensure broader patient access to high-quality imaging across the United States.

Response to the COVID-19 Pandemic: Practical Guide to Rapidly Deploying Home Workstations to Guarantee Radiology Services During Quarantine, Social Distancing, and Stay Home Orders.

OBJECTIVE. The purpose of this article is to share an experience in the rapid deployment of home workstations that illustrates a creative solution that transcended typical administrative barriers. CONCLUSION. In response to the global coronavirus disease (COVID-19) pandemic, radiology departments need to rapidly deploy home PACS workstations to facilitate physical distancing and to guarantee radiologic expertise despite possible home quarantining or stay home, work safe orders.

Remote reporting in the COVID-19 era: from pilot study to practice.

AIM: To assess the benefits and challenges of remote reporting using an intra-departmental teleradiology system. MATERIALS AND METHODS: A pilot of an in-hospital Trust radiologist reporting on in-hospital Trust patients via a remote login was undertaken. Reporting output, training impact, and quality improvement were measured. RESULTS: Reporting output increased by 140%. Trainee satisfaction was high in a qualitative survey, particularly for out-of-hours support and teaching. Clinicians found the service to be similar to the same service provided by a locally based radiologist. CONCLUSION: In the COVID-19 era, remote working has developed rapidly. This study shows that radiology departments can provide remote reporting that is equal in standard to reporting from within the hospital, and in addition, that there are advantages to output and training.

A novel tool to provide predictable alignment data irrespective of source and image quality acquired on mobile phones: what engineers can offer clinicians.

PURPOSE: Existing automated spine alignment is based on original X-rays that are not applicable for teleradiology for spinal deformities patients. We aim to provide a novel automated vertebral segmentation method enabling accurate sagittal alignment detection, with no restrictions imposed by image quality or pathology type. METHODS: A total of 428 optical images of original sagittal X-rays taken by smartphones or screenshots for consecutive patients attending our spine clinic were prospectively collected. Of these, 300 were randomly selected and their vertebrae were labelled with Labelme. The ground truth was specialists measured sagittal alignment parameters. Pre-trained Mask R-CNN was fine-tuned and trained to predict the vertebra level(s) on the remaining 128 testing cases. The sagittal alignment parameters including the thoracic kyphosis (TK), lumbar lordosis (LL) and sacral slope (SS) were auto-detected, based on the segmented vertebra. Dice similarity coefficient (DSC) and mean intersection over union (mIoU) were calculated to evaluate the accuracy of the predicted vertebra. The detected sagittal alignments were then quantitatively compared with the ground truth. RESULTS: The DSC was 84.6 ± 3.8% and mIoU was 72.1 ± 4.8% indicating accurate vertebra prediction. The sagittal alignments detected were all strongly correlated with the ground truth (p < 0.001). Standard errors of the estimated parameters had a small difference from the specialists' results (3.5° for TK and SS; 3.4° for LL). CONCLUSION: This is the first study using fine-tuned Mask R-CNN to predict vertebral locations on optical images of X-rays accurately and automatically. We provide a novel alignment detection method that has a significant application on teleradiology aiding out-of-hospital consultations. These slides can be retrieved under Electronic Supplementary Material.

"From the technology came the idea": safe implementation and operation of a high quality teleradiology model increasing access to timely breast cancer assessment services for women in rural Australia.

Breast cancer is the most commonly diagnosed cancer in Australian women. Providing timely diagnostic assessment services for screen-detected abnormalities is a core quality indicator of the population-based screening program provided by BreastScreen Australia. However, a shortage of local and locum radiologists with availability and appropriate experience in breast work to attend onsite assessment clinics, limits capacity of services to offer assessment appointments to women in some regional centres. In response to identified need, local service staff developed the remote radiology assessment model for service delivery. This study investigated important factors for establishing the model, the challenges and enablers of successful implementation and operation of the model, and factors important in the provision of a model considered safe and acceptable by service providers. METHODS: Semi-structured interviews were conducted with service providers at four assessment services, across three jurisdictions in Australia. Service providers involved in implementation and operation of the model at the service and jurisdictional level were invited to participate. A social constructivist approach informed the analysis. Deductive analysis was initially undertaken, using the interview questions as a classifying framework. Subsequently, inductive thematic analysis was employed by the research team. Together, the coding team aggregated the codes into overarching themes. RESULTS: 55 service providers participated in interviews. Consistently reported enablers for the safe implementation and operation of a remote radiology assessment clinic included: clinical governance support; ability to adapt; strong teamwork, trust and communication; and, adequate technical support and equipment. Challenges mostly related to technology and internet (speed/bandwidth), and maintenance of relationships within the group. CONCLUSIONS: Understanding the key factors for supporting innovation, and implementing new and safe models of service delivery that incorporate telemedicine, will become increasingly important as technology evolves and becomes more accessible. It is possible to take proposed telemedicine solutions initiated by frontline workers and operationalise them safely and successfully: (i) through strong collaborative relationships that are inclusive of key experts; (ii) with clear guidance from overarching bodies with some flexibility for adapting to local contexts; (iii) through establishment of robust teamwork, trust and communication; and, (iv) with appropriate equipment and technical support.