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Persistent avascular retina (PAR) in prematurely born individuals may be a risk factor for late sequelae of retinopathy of prematurity (ROP), including retinal detachment in older childhood and adulthood. Although PAR has been associated with use of vascular endothelial growth factor antagonist therapy for treatment-requiring ROP, the prevalence of this finding in patients without prior ROP treatment is unknown. We performed a cross-sectional study to determine the prevalence of PAR in a cohort of patients 4-8 years of age who were screened for ROP in the neonatal intensive care unit and did not receive treatment. Patients were recruited from an existing population-based cohort and underwent ultra-widefield fluorescein angiography (UWFFA). UWFFA images of 43 eyes of 23 patients were evaluated. Average age at time of evaluation was 6.2 years. PAR was observed in 21 patients (91%). Thirteen eyes (30%) had PAR in zone II; 23 (53%), in zone III. Six eyes (14%) had abnormal vessels without clear PAR. These findings indicate a high prevalence of PAR in patients with a history of ROP screening without treatment.

OBJECTIVE: To validate a vascular severity score as an appropriate output for artificial intelligence (AI) Software as a Medical Device (SaMD) for retinopathy of prematurity (ROP) through comparison with ordinal disease severity labels for stage and plus disease assigned by the International Classification of ROP, 3rd edition (ICROP3) committee. DESIGN: Validation study of an AI-based ROP vascular severity score SUBJECTS, PARTICIPANTS, AND/OR CONTROLS: 34 ROP experts from the ICROP3 committee. METHODS: Two separate datasets of 30 fundus photographs each for stage (0–5) and plus disease (plus, pre-plus, neither) were labeled by members of the ICROP3 committee using an open-source platform. Averaging these results produced a continuous label for plus (1–9) and stage (1–3) for each image. Experts were also asked to compare each image to each other in terms of relative severity for plus disease. Each image was also labelled with a vascular severity score from the Imaging and Informatics in ROP deep learning (i-ROP DL) system, which was compared with each grader’s diagnostic labels for correlation, as well as the ophthalmoscopic diagnosis of stage. MAIN OUTCOME MEASURES: Weighted kappa and Pearson correlation coefficients (CC) were calculated between each pair of grader classification labels for stage and plus disease. The Elo algorithm was also used to convert pairwise comparisons for each expert into an ordered set of images from least to most severe. RESULTS: The mean weighted kappa and CC for all inter-observer pairs for plus disease image comparison was 0.67 and 0.88 respectively. The vascular severity score was found to be highly correlated with both the average plus disease classification (CC = 0.90, p < 0.001) and the ophthalmoscopic diagnosis of stage (p < 0.001 by ANOVA) among all experts. CONCLUSIONS: The ROP vascular severity score correlates well with the ICROP committee member’s labels for plus disease and stage, which had significant inter-grader variability. Generation of a consensus for a validated scoring system for ROP SaMD can facilitate global innovation and regulatory authorization of these technologies.

Many medical providers employ scribes to manage electronic health record (EHR) documentation. Prior studies have shown the benefits of scribes, but no large-scale study has quantitively assessed scribe impact on documentation workflows. We propose methods that leverage EHR data for identifying scribe presence during an office visit, measuring provider documentation time, and determining how notes are edited and composed. In a case study, we found scribe use was associated with less provider documentation time overall (averaging 2.4 minutes or 39% less time, p < 0.001), fewer note edits by providers (8.4% less added and 4.2% less deleted text, p < 0.001), but significantly more documentation time after the visit for four out of seven providers (p < 0.001) and no change in the amount of copied and imported note text. Our methods could validate prior study results, identify variability for determining best practices, and determine that scribes do not improve all aspects of documentation.

PURPOSE: Aggressive posterior retinopathy of prematurity (AP-ROP) is a vision-threatening disease with a significant rate of progression to retinal detachment. The purpose of this study was to quantitatively characterize AP-ROP by demographics, rate of disease progression, and a deep learning based vascular severity score. DESIGN: Retrospective analysis SUBJECTS: The Imaging and Informatics in ROP (i-ROP) cohort from 8 North American centers, consisting of 947 total patients and 5945 clinical eye exams with fundus images, was used. Pre-treatment eyes were categorized by disease severity: None, Mild, Type 2 or Pre-Plus, Treatment-Requiring (TR) without AP-ROP, TR with AP-ROP. Analyses compared TR with AP-ROP to TR without AP-ROP to investigate differences between AP-ROP and other TR disease. METHODS: A reference standard diagnosis was generated for each eye exam using previously-published methods combining three independent image-based and one ophthalmoscopic gradings. All fundus images were analyzed using a previously-published deep learning system (i-ROP DL) and assigned a score from 1-9. Demographic data, systemic comorbidities, and post-menstrual age were evaluated for each category. MAIN OUTCOME MEASURES: Birth weight, gestational age, post-menstrual age, vascular severity score RESULTS: Infants who developed AP-ROP were more premature by birth weight (617 g vs 679 g, p=0.01) and gestational age (24.3 weeks vs 25.0 weeks, p

PURPOSE: To compare the average intraocular pressure (IOP) among smokers, past smokers, and never smokers using the American Academy of Ophthalmology Intelligent Research in Sight (IRIS) Registry. DESIGN: Retrospective database study of the IRIS Registry data. PARTICIPANTS: Intelligent Research in Sight Registry patients who were seen by an eye care provider during 2017. METHODS: Patients were divided into current smoker, past smoker, and never smoker categories. The IOP was based on an average measurement, and separate analyses were performed in patients with and without a glaucoma diagnosis based on International Classification of Diseases, Ninth Edition and Tenth Edition, codes. Stratified, descriptive statistics by glaucoma status were determined, and the relationship between smoking and IOP was assessed with a multivariate linear regression model. MAIN OUTCOME MEASURES: Mean IOP. RESULTS: A total of 12 535 013 patients were included. Compared with never smokers, current and past smokers showed a statistically significantly higher IOP by 0.92 mmHg (95% confidence interval [CI], 0.88–0.95 mmHg) and 0.77 mmHg (95% CI, 0.75–0.79 mmHg), respectively, after adjusting for age, gender, glaucoma, age-related macular degeneration, diabetic retinopathy, cataract, glaucoma surgery, cataract surgery, and first-order interactions. In addition, the difference in IOP between current and never smokers was the highest in the fourth decade, regardless of the glaucoma status (glaucoma group, 1.14 mmHg [95% CI, 1.00–1.29 mmHg]; without glaucoma group, 0.68 mmHg [95% CI, 0.65–0.71 mmHg]). CONCLUSIONS: Current smokers and past smokers have higher IOP than patients who never smoked. This difference is higher in patients with an underlying glaucoma diagnosis.

Electronic Health Records (EHRs) are widely used in the United States for clinical care and billing activities. Their widespread adoption has raised a variety of concerns about their effects on providers and medical care. As researchers address these concerns, they will need to understand how much time providers actually spend on the EHR. This study develops and validates methods for calculating total time requirements for EHR use by ophthalmologists using secondary EHR data from audit logs. Key findings from this study are that (1) Secondary EHR data can be used to estimate lower bounds on provider EHR use, (2) Providers spend a large amount of time using the EHR, (3) Most time spent on the EHR is spent reviewing information. These findings have important implications for practicing clinicians, and for EHR system design in the future.

Providers today face productivity challenges including increased patient loads, increased clerical burdens from new government regulations and workflow impacts of electronic health records (EHR). Given these factors, methods to study and improve clinical workflow continue to grow in importance. Despite the ubiquitous presence of trainees in academic outpatient clinics, little is known about the impact of trainees on academic workflow. The purpose of this study is to demonstrate that secondary EHR data can be used to quantify that impact, with potentially important results for clinic efficiency and provider reimbursement models. Key findings from this study are that (1) Secondary EHR data can be used to reflect in clinic trainee activity, (2) presence of trainees, particularly in high-volume clinic sessions, is associated with longer session lengths, and (3) The timing of trainee appointments within clinic sessions impacts the session length.

Despite federal incentives for adoption of electronic health records (EHRs), surveys have shown that EHR use is less common among specialty physicians than generalists. Concerns have been raised that current-generation EHR systems are inadequate to meet the unique information gathering needs of specialists. This study sought to identify whether information gathering needs and EHR usage patterns are different between specialists and generalists, and if so, to characterize their precise nature. We found that specialists and generalists have significantly different perceptions of which elements of the EHR are most important and how well these systems are suited to displaying clinical information. Resolution of these disparities could have implications for clinical productivity and efficiency, patient and physician satisfaction, and the ability of clinical practices to achieve Meaningful Use incentives.

Tele-education systems are increasingly being utilized in medical education worldwide. Due to limited human resources in healthcare in low and middle-income countries, developing online systems that are accessible to medical trainees in underserved areas potentially represents a highly efficient and effective method of improving the quantity and quality of the health care workforce. We developed, implemented, and evaluated an interactive web-based tele-education system (based on internationally accepted, image-based guidelines) for the diagnosis of retinopathy of prematurity among ophthalmologists-in-training in Brazil, Mexico, and the Philippines. We demonstrate that participation in this tele-education program improved diagnostic accuracy and reliability, and was preferred to standard pedagogical methods. This system may be employed not only in training, but also in international certification programs, and the process may be generalizable to other image-based specialties, such as dermatology and radiology.

To measure the effect of electronic health record (EHR) implementation on productivity and efficiency in the pediatric ophthalmology division at an academic medical center.Four established providers were selected from the pediatric ophthalmology division at the Oregon HealthScience University Casey Eye Institute. Clinical volume was compared before and after EHR implementation for each provider. Time elapsed from chart open to completion (OTC time) and the proportion of charts completed during business hours were monitored for 3 years following implementation.Overall there was an 11% decrease in clinical volume following EHR implementation, which was not statistically significant (P = 0.18). The mean OTC time ranged from 5.5 to 28.3 hours among providers in this study, and trends over time were variable among the four providers. Forty-four percent of all charts were closed outside normal business hours (30% on weekdays, 14% on weekends).EHR implementation was associated with a negative impact on productivity and efficiency in our pediatric ophthalmology division.

To evaluate the accuracy of detecting clinically significant retinopathy of prematurity (ROP) using wide-angle digital retinal photography.Literature searches of PubMed and the Cochrane Library databases were conducted last on December 7, 2010, and yielded 414 unique citations. The authors assessed these 414 citations and marked 82 that potentially met the inclusion criteria. These 82 studies were reviewed in full text; 28 studies met inclusion criteria. The authors extracted from these studies information about study design, interventions, outcomes, and study quality. After data abstraction, 18 were excluded for study deficiencies or because they were superseded by a more recent publication. The methodologist reviewed the remaining 10 studies and assigned ratings of evidence quality; 7 studies were rated level I evidence and 3 studies were rated level III evidence.There is level I evidence from ≥5 studies demonstrating that digital retinal photography has high accuracy for detection of clinically significant ROP. Level III studies have reported high accuracy, without any detectable complications, from real-world operational programs intended to detect clinically significant ROP through remote site interpretation of wide-angle retinal photographs.Wide-angle digital retinal photography has the potential to complement standard ROP care. It may provide advantages through objective documentation of clinical examination findings, improved recognition of disease progression by comparing previous photographs, and the creation of image libraries for education and research.Proprietary or commercial disclosure may be found after the references.

To measure agreement and accuracy of plus disease diagnosis among retinopathy of prematurity (ROP) experts; and to compare expert performance to that of a computer-based analysis system, Retinal Image multiScale Analysis.Twenty-two recognized ROP experts independently interpreted a set of 34 wide-angle retinal photographs for presence of plus disease. Diagnostic agreement was analyzed. A reference standard was defined based on majority vote of experts. Images were analyzed using individual and linear combinations of computer-based system parameters for arterioles and venules: integrated curvature (IC), diameter, and tortuosity index (TI). Sensitivity, specificity, and receiver operating characteristic areas under the curve (AUC) for plus disease diagnosis were determined for each expert and for the computer-based system.Mean kappa statistic for each expert compared to all others was between 0 and 0.20 (slight agreement) in 1 expert (4.5%), 0.21 and 0.40 (fair agreement) in 3 experts (13.6%), 0.41 and 0.60 (moderate agreement) in 12 experts (54.5%), and 0.61 and 0.80 (substantial agreement) in 6 experts (27.3%). For the 22 experts, sensitivity compared to the reference standard ranged from 0.308 to 1.000, specificity from 0.571 to 1.000, and AUC from 0.784 to 1.000. Among individual computer system parameters compared to the reference standard, venular IC had highest AUC (0.853). Among linear combinations of parameters, the combination of arteriolar IC, arteriolar TI, venular IC, venular diameter, and venular TI had highest AUC (0.967).Agreement and accuracy of plus disease diagnosis among ROP experts are imperfect. A computer-based system has potential to perform with comparable or better accuracy than human experts, but further validation is required.