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Introduction: Patient satisfaction has become an essential metric in addition to the type of care they receive. Phone calls, emails, and text to patients after their healthcare visit are the typical way of obtaining the data reflecting patient satisfaction. The purpose of this retrospective quality improvement study is to compare the traditional post-outpatient clinic survey method with an onsite concise two-question survey using a tablet method immediately after the patient visit using Net Promoter Score (NPS) questions. Methods: Data were collected retrospectively from February to August 2018 from an outpatient subspecialty clinic in southern California using an existing database from two different sources: the traditional method (TM) and the tablet-based tool (TBT), using NPS. The TM data were obtained from a third-party company using two questions via phone, email, and text collected 2-4 weeks after the patient's visit. The TBT has only two questions that were given to patients upon their visit check-out. These two questions assessed both provider and clinic's performance using the NPS method. Results: In total, there were 1708 patients seen from February to August 2018. In the TM, the total outgoing messages during this period were 580 (34.0%) with 156 responses (27%). In the TBT, 648 out of 1708 (37.9%) surveys were collected with a 100% response rate. The NPS score showed that 99.2% of the providers were promoters. The NPS score for the clinic was 96% which reflects a promoter score. Conclusion: Our results indicate that when using the TBT immediately after their visit to the clinic, a higher response rate was noted. In addition, both methods had similar outcomes in terms of patient satisfaction NPS scores. Future prospective studies with a larger sample size are warranted to evaluate the effectiveness of the TBT tool in assessing patient satisfaction.

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Background and Objective Probabilistic topic models provide an unsupervised method for analyzing unstructured text. These models discover semantically coherent combinations of words (topics) that could be integrated in a clinical automatic summarization system for primary care physicians performing chart review. However, the human interpretability of topics discovered from clinical reports is unknown. Our objective is to assess the coherence of topics and their ability to represent the contents of clinical reports from a primary care physician’s point of view. Methods Three latent Dirichlet allocation models (50 topics, 100 topics, and 150 topics) were fit to a large collection of clinical reports. Topics were manually evaluated by primary care physicians and graduate students. Wilcoxon Signed-Rank Tests for Paired Samples were used to evaluate differences between different topic models, while differences in performance between students and primary care physicians (PCPs) were tested using Mann-Whitney U tests for each of the tasks. Results While the 150-topic model produced the best log likelihood, participants were most accurate at identifying words that did not belong in topics learned by the 100-topic model, suggesting that 100 topics provides better relative granularity of discovered semantic themes for the data set used in this study. Models were comparable in their ability to represent the contents of documents. Primary care physicians significantly outperformed students in both tasks. Conclusion This work establishes a baseline of interpretability for topic models trained with clinical reports, and provides insights on the appropriateness of using topic models for informatics applications. Our results indicate that PCPs find discovered topics more coherent and representative of clinical reports relative to students, warranting further research into their use for automatic summarization.

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Background: Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disease characterized by worsening dyspnea and lung function and has a median survival of 2–3 years. Forced vital capacity (FVC) is the primary endpoint used most commonly in IPF clinical trials as it is the best surrogate for mortality. This study assessed quantitative scores from high-resolution computed tomography (HRCT) developed by machine learning as a secondary efficacy endpoint in a 26-week phase II study of BMS-986020 – an LPA1 receptor antagonist – in patients with IPF. Methods: HRCT scans from 96% (137/142) of randomized subjects were utilized. Quantitative lung fibrosis (QLF) scores were calculated from the HRCT images. QLF improvement was defined as ⩾2% reduction in QLF score from baseline to week 26. Results: In the placebo arm, 5% of patients demonstrated an improvement in QLF score at week 26 compared with 15% and 27% of patients in the BMS-986020 600 mg once daily (QD) and twice daily (BID) arms, respectively [ versus placebo: p = 0.08 (600 mg QD); p = 0.0098 (600 mg BID)]. Significant correlations were found between changes in QLF and changes in percent predicted FVC, diffusing capacity for carbon monoxide (DLCO), and shortness of breath at week 26 ( ρ = −0.41, ρ = −0.22, and ρ = 0.27, respectively; all p < 0.01). Conclusions: This study demonstrated the utility of quantitative HRCT as an efficacy endpoint for IPF in a double-blind, placebo-controlled clinical trial setting. The reviews of this paper are available via the supplemental material section.

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BACKGROUND: Pulmonary endothelial damage has been shown to precede the development of emphysema in animals, and vascular changes in humans have been observed in COPD and emphysema.RESEARCH QUESTION: Is intraparenchymal vascular pruning associated with longitudinal progression of emphysema on CT imaging or decline in lung function over 5 years?STUDY DESIGN AND METHODS: The Genetic Epidemiology of COPD Study enrolled ever smokers with and without COPD from 2008 through 2011. The percentage of emphysemalike lung, or "percent emphysema," was assessed at baseline and after 5 years on noncontrast CT imaging as the percentage of lung voxels < -950 Hounsfield units. An automated CT imaging-based tool assessed and classified intrapulmonary arteries and veins. Spirometry measures are postbronchodilator. Pulmonary arterial pruning was defined as a lower ratio of small artery volume (< 5 mm 2 cross-sectional area) to total lung artery volume. Mixed linear models included demographics, anthropomorphics, smoking, and COPD, with emphysema models also adjusting for CT imaging scanner and lung function models adjusting for clinical center and baseline percent emphysema.RESULTS: At baseline, the 4,227 participants were 60 AE 9 years of age, 50% were women, 28% were Black, 47% were current smokers, and 41% had COPD. Median percent emphysema was 2.1 (interquartile range, 0.6-6.3) and progressed 0.24 percentage points/y (95% CI, ABBREVIATIONS: BV5 = volume of pulmonary vessels less than 5 mm 2 in cross-sectional area; BV5a = volume of pulmonary arteries less than 5 mm 2 in cross-sectional area; COPDGene = Genetic Epidemiology of COPD; HU = Hounsfield units; PD15 = lung density at the 15th percentile; percent emphysema -950 = percentage of lung volume with attenuation < -950 Hounsfield units; TBVa = total arterial volume of interparenchymal vessels