Browsing by Author "Levy, Bruce"

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    Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2016-2017)
    (AMIA, 2018) Bell, Douglas S.; Baldwin, Kevin; Bell, Elijah J.; Lehmann, Christoph U.; Webber, Emily C.; Mohan, Vishnu; Leu, Michael G.; Hoffman, Jeffrey M.; Kaelber, David C.; Landman, Adam B.; Hron, Jonathan; Silverman, Howard D.; Levy, Bruce; Elkin, Peter L.; Poon, Eric; Luberti, Anthony A.; Finnell, John T.; Safran, Charles; Palma, Jonathan P.; Forman, Bruce H.; Kileen, James; Arvin, David; Pfeffer, Michael; Pediatrics, School of Medicine
    We conducted a national study to assess the numbers and diversity of applicants for 2016 and 2017 clinical informatics fellowship positions. In each year, we collected data on the number of applications that programs received from candidates who were ultimately successful vs. unsuccessful. In 2017, we also conducted an anonymous applicant survey. Successful candidates applied to an average of 4.2 and 5.5 programs for 2016 and 2017, respectively. In the survey, unsuccessful candidates reported applying to fewer programs. Assuming unsuccessful candidates submitted between 2-5 applications each, the total applicant pool numbered 42-69 for 2016 (competing for 24 positions) and 52-85 for 2017 (competing for 30 positions). Among survey respondents (n=33), 24% were female, 1 was black and none were Hispanic. We conclude that greater efforts are needed to enhance interest in clinical informatics among medical students and residents, particularly among women and members of underrepresented minority groups.
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    HSD3B1 genotype identifies glucocorticoid responsiveness in severe asthma
    (National Academy of Sciences, 2020-01-28) Zein, Joe; Gaston, Benjamin; Bazeley, Peter; DeBoer, Mark D.; Igo, Robert P., Jr; Bleecker, Eugene R.; Meyers, Deborah; Comhair, Suzy; Marozkina, Nadzeya V.; Cotton, Calvin; Patel, Mona; Alyamani, Mohammad; Xu, Weiling; Busse, William W.; Calhoun, William J.; Ortega, Victor; Hawkins, Gregory A.; Castro, Mario; Chung, Kian Fan; Fahy, John V.; Fitzpatrick, Anne M.; Israel, Elliot; Jarjour, Nizar N.; Levy, Bruce; Mauger, David T.; Moore, Wendy C.; Noel, Patricia; Peters, Stephen P.; Teague, W. Gerald; Wenzel, Sally E.; Erzurum, Serpil C.; Sharifi, Nima; Medicine, School of Medicine
    Asthma resistance to glucocorticoid treatment is a major health problem with unclear etiology. Glucocorticoids inhibit adrenal androgen production. However, androgens have potential benefits in asthma. HSD3B1 encodes for 3β-hydroxysteroid dehydrogenase-1 (3β-HSD1), which catalyzes peripheral conversion from adrenal dehydroepiandrosterone (DHEA) to potent androgens and has a germline missense-encoding polymorphism. The adrenal restrictive HSD3B1(1245A) allele limits conversion, whereas the adrenal permissive HSD3B1(1245C) allele increases DHEA metabolism to potent androgens. In the Severe Asthma Research Program (SARP) III cohort, we determined the association between DHEA-sulfate and percentage predicted forced expiratory volume in 1 s (FEV1PP). HSD3B1(1245) genotypes were assessed, and association between adrenal restrictive and adrenal permissive alleles and FEV1PP in patients with (GC) and without (noGC) daily oral glucocorticoid treatment was determined (n = 318). Validation was performed in a second cohort (SARP I&II; n = 184). DHEA-sulfate is associated with FEV1PP and is suppressed with GC treatment. GC patients homozygous for the adrenal restrictive genotype have lower FEV1PP compared with noGC patients (54.3% vs. 75.1%; P < 0.001). In patients with the homozygous adrenal permissive genotype, there was no FEV1PP difference in GC vs. noGC patients (73.4% vs. 78.9%; P = 0.39). Results were independently confirmed: FEV1PP for homozygous adrenal restrictive genotype in GC vs. noGC is 49.8 vs. 63.4 (P < 0.001), and for homozygous adrenal permissive genotype, it is 66.7 vs. 67.7 (P = 0.92). The adrenal restrictive HSD3B1(1245) genotype is associated with GC resistance. This effect appears to be driven by GC suppression of 3β-HSD1 substrate. Our results suggest opportunities for prediction of GC resistance and pharmacologic intervention.
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    Policy Statement on Clinical Informatics Fellowships and the Future of Informatics- Driven Medicine
    (Thieme, 2020-10) Kannry, Joseph; Smith, Jeff; Mohan, Vishnu; Levy, Bruce; Finnell, John; Lehmann, Christoph U.; Emergency Medicine, School of Medicine
    Board certified clinical informaticians provide expertise in leveraging health IT (HIT) and health data for patient care and quality improvement. Clinical Informatics experts possess the requisite skills and competencies to make systems-level improvements in care delivery using HIT, workflow and data analytics, knowledge acquisition, clinical decision support, data visualization, and related informatics tools. However, these physicians lack structured and sustained funding because they have no billing codes. The sustainability and growth of this new and promising medical subspecialty is threatened by outdated and inconsistent funding models that fail to support the education and professional growth of clinical informaticians. The Clinical Informatics Program Directors' Community is calling upon the Centers for Medicare and Medicaid Services to consider novel funding structures and programs through its Innovation Center for Clinical Informatics Fellowship training. Only through structural and sustained funding for Clinical Informatics fellows will be able to fully develop the potential of electronic health records to improve the quality, safety, and cost of clinical care.