Howard Yan

All Publications

• Improving Patient Experience in Radiology: Impact of a Multifaceted Intervention on National Ranking RADIOLOGY Kapoor, N., Yan, Z., Wang, A., Wickner, P., Kachalia, A., Boland, G., Khorasan, R. 2019; 291 (1): 101–8

  Abstract

  Purpose To assess the impact of a patient experience improvement program on national ranking in patient experience in a large academic radiology department. Materials and Methods This Health Insurance Portability and Accountability Act-compliant study was exempted from institutional review board approval. After initiating an electronic patient experience survey, 26 210 surveys and 22 213 comments were received from May 2017 to April 2018. During the study period, a multifaceted quality improvement initiative was instituted, focused on improving patient experience in the radiology department. The primary outcome was national percentile ranking as measured with the survey. Secondary outcome was the change in departmental percentile ranking compared with the overall hospital ranking for patient experience measured with a similar survey. Results The overall raw score for the department increased from 92.8 to 93.6 of 100 (P < .001), and the national ranking improved from the 35th to 50th percentile (P = .001). Improvements in raw scores related to personnel were primarily responsible for the increase in overall raw score and ranking. Of the 22 213 comments received, 3458 (15.6%) were negative. The percentage of negative comments was highly correlated with lower monthly percentile ranking (Pearson correlation coefficient of -0.69; P = .01). Conclusion It is feasible to develop a large-scale electronic survey to assess patient experience in the radiology department, to identify improvement opportunities, and to measurably improve patient experience. Changes in the percentage of negative comments were correlated with changes in a practice's national percentile rank in patient experience. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Kruskal and Sarwar in this issue.

  View details for DOI 10.1148/radiol.2019182307

  View details for Web of Science ID 000465222600022

  View details for PubMedID 30667330

• The placental interleukin-6 signaling controls fetal brain development and behavior BRAIN BEHAVIOR AND IMMUNITY Wu, W., Hsiao, E. Y., Yan, Z., Mazmanian, S. K., Patterson, P. H. 2017; 62: 11–23

  Abstract

  Epidemiological studies show that maternal immune activation (MIA) during pregnancy is a risk factor for autism. However, mechanisms for how MIA affects brain development and behaviors in offspring remain poorly described. To determine whether placental interleukin-6 (IL-6) signaling is required for mediating MIA on the offspring, we generated mice with restricted deletion of the receptor for IL-6 (IL-6Rα) in placental trophoblasts (Cyp19-Cre+;Il6rafl/fl), and tested offspring of Cyp19-Cre+;Il6rafl/fl mothers for immunological, pathological and behavioral abnormalities following induction of MIA. We reveal that MIA results in acute inflammatory responses in the fetal brain. Lack of IL-6 signaling in trophoblasts effectively blocks MIA-induced inflammatory responses in the placenta and the fetal brain. Furthermore, behavioral abnormalities and cerebellar neuropathologies observed in MIA control offspring are prevented in Cyp19-Cre+;Il6rafl/fl offspring. Our results demonstrate that IL-6 activation in placenta is required for relaying inflammatory signals to the fetal brain and impacting behaviors and neuropathologies relevant to neurodevelopmental disease.

  View details for DOI 10.1016/j.bbi.2016.11.007

  View details for Web of Science ID 000398647300003

  View details for PubMedID 27838335

  View details for PubMedCentralID PMC5373986

• Yield of CT Pulmonary Angiography in the Emergency Department When Providers Override Evidence-based Clinical Decision Support RADIOLOGY Yan, Z., Ip, I. K., Raja, A. S., Gupta, A., Kosowsky, J. M., Khorasani, R. 2017; 282 (3): 717–25

  Abstract

  Purpose To determine the frequency of, and yield after, provider overrides of evidence-based clinical decision support (CDS) for ordering computed tomographic (CT) pulmonary angiography in the emergency department (ED). Materials and Methods This HIPAA-compliant, institutional review board-approved study was performed at a tertiary care, academic medical center ED with approximately 60 000 annual visits and included all patients who were suspected of having pulmonary embolism (PE) and who underwent CT pulmonary angiography between January 1, 2011, and August 31, 2013. The requirement to obtain informed consent was waived. Each CT order for pulmonary angiography was exposed to CDS on the basis of the Wells criteria. For patients with a Wells score of 4 or less, CDS alerts suggested d-dimer testing because acute PE is highly unlikely in these patients if d-dimer levels are normal. The yield of CT pulmonary angiography (number of positive PE diagnoses/total number of CT pulmonary angiographic examinations) was compared in patients in whom providers overrode CDS alerts (by performing CT pulmonary angiography in patients with a Wells score ≤4 and a normal d-dimer level or no d-dimer testing) (override group) and those in whom providers followed Wells criteria (CT pulmonary angiography only in patients with Wells score >4 or ≤4 with elevated d-dimer level) (adherent group). A validated natural language processing tool identified positive PE diagnoses, with subsegmental and/or indeterminate diagnoses removed by means of chart review. Statistical analysis was performed with the χ2 test, the Student t test, and logistic regression. Results Among 2993 CT pulmonary angiography studies in 2655 patients, 563 examinations had a Wells score of 4 or less but did not undergo d-dimer testing and 26 had a Wells score of 4 or less and had normal d-dimer levels. The yield of CT pulmonary angiography was 4.2% in the override group (25 of 589 studies, none with a normal d-dimer level) and 11.2% in the adherent group (270 of 2404 studies) (P < .001). After adjustment for the risk factor differences between the two groups, the odds of an acute PE finding were 51.3% lower when providers overrode alerts than when they followed CDS guidelines. Comparison of the two groups including only patients unlikely to have PE led to similar results. Conclusion The odds of an acute PE finding in the ED when providers adhered to evidence presented in CDS were nearly double those seen when providers overrode CDS alerts. Most overrides were due to the lack of d-dimer testing in patients unlikely to have PE. © RSNA, 2016.

  View details for DOI 10.1148/radiol.2016151985

  View details for Web of Science ID 000401895600011

  View details for PubMedID 27689922

  View details for PubMedCentralID PMC5330300

• Induction of Maternal Immune Activation in Mice at Mid-gestation Stage with Viral Mimic Poly(I:C) JOVE-JOURNAL OF VISUALIZED EXPERIMENTS Chow, K., Yan, Z., Wu, W. 2016: e53643

  Abstract

  Maternal immune activation (MIA) model is increasingly well appreciated as a rodent model for the environmental risk factor of various psychiatric disorders. Numerous studies have demonstrated that MIA model is able to show face, construct, and predictive validity that are relevant to autism and schizophrenia. To model MIA, investigators often use viral mimic polyinosinic:polycytidylic acid (poly(I:C)) to activate the immune system in pregnant rodents. Generally, the offspring from immune activated dam exhibit behavioral abnormalities and physiological alterations that are associated with autism and schizophrenia. However, poly(I:C) injection with different dosages and at different time points could lead to different outcomes by perturbing brain development at different stages. Here we provide a detailed method of inducing MIA by intraperitoneal (i.p.) injection of 20 mg/kg poly(I:C) at mid-gestational embryonic 12.5 days (E12.5). This method has been shown to induce acute inflammatory response in the maternal-placental-fetal axis, which ultimately results in the brain perturbations and behavioral phenotypes that are associated with autism and schizophrenia.

  View details for DOI 10.3791/53643

  View details for Web of Science ID 000374636300035

  View details for PubMedID 27078638

  View details for PubMedCentralID PMC4841312

• Evaluating Terminologies to Enable Imaging-Related Decision Rule Sharing. AMIA ... Annual Symposium proceedings. AMIA Symposium Yan, Z., Lacson, R., Ip, I., Valtchinov, V., Raja, A., Osterbur, D., Khorasani, R. 2016; 2016: 2082-2089

  Abstract

  Purpose: Clinical decision support tools provide recommendations based on decision rules. A fundamental challenge regarding decision rule-sharing involves inadequate expression using standard terminology. We aimed to evaluate the coverage of three standard terminologies for mapping imaging-related decision rules. Methods: 50 decision rules, randomly selected from an existing library, were mapped to Systemized Nomenclature of Medicine (SNOMED CT), Radiology Lexicon (RadLex) and International Classification of Disease (ICD-10-CM). Decision rule attributes and values were mapped to unique concepts, obtaining the best possible coverage with the fewest concepts. Manual and automated mapping using Clinical Text Analysis and Knowledge Extraction System (cTAKES) were performed. Results: Using manual mapping, SNOMED CT provided the greatest concept coverage (83%), compared to RadLex (36%) and ICD-10-CM (8%) (p<0.0001). Combined mapping had 86% concept coverage. Automated mapping achieved 85% mapping coverage vs. 94% with manual mapping (p<0.001). Conclusion: Although some gaps remain, standard terminologies provide ample coverage for mapping imaging- related evidence.

  View details for PubMedID 28269968

  View details for PubMedCentralID PMC5333322