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2. Teaching and Evaluating High-Value Care Through a Novel Case-Based Morning Report Curriculum

Author

Matt Blackwell, Kristi Moore, Amanda Kocoloski, and Patrick Gill

Subjects
Morning Report, Teaching Rounds, Health Care Costs, High-Value Care, Cost of Care, Value-Added Care, Medicine (General), R5-920, Education
Abstract

Abstract Introduction It's the responsibility of medical educators to train residents to be responsible stewards of finite health care resources. Thus, we developed an interactive morning report curriculum that focuses on high-value care (HVC) decision making using real-world cases. In addition, we developed a novel evaluation tool to assess residents' application of cost-conscious care principles through the use of an HVC scoring algorithm. Methods For each HVC morning report session, a resident presents a case that they encountered recently. Prior to their presentation, the resident reviews guidelines and meets with a physician with expertise in the field to determine the best practice for the case with regard to what imaging, laboratory studies, procedures, and/or consultations were necessary to arrive at the correct diagnosis and treatment course. The resident presents the case while indicating what they would order based on the information provided. Following the session, an HVC score is determined for each participant by awarding points for appropriate, cost-conscious utilization of resources. Points are deducted for unnecessary overuse of health care services and inappropriate underuse of services. Results Over the course of the 2014–2015 academic year 34 internal medicine residents participated in at least one HVC Morning Report session. The number of participants reporting that their knowledge of health care costs was poor, dropped from 70% on the precurriculum survey to 29% of the postcurriculum survey. Discussion The HVC Morning Report Curriculum was successful in improving resident knowledge of HVC and comfort with cost effective decision making. Due to the real-world nature of the cases presented, there was a great deal of variability in the complexity of the cases presented by residents. Future directions might include developing a collection of high-yield cases for increased standardization of the learning.

Published
2016
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6. Center of mass energy and system-size dependence of photon production at forward rapidity at RHIC

Author

Abelev, B.I., Aggarwal, M.M., Ahammed, Z., Alakhverdyants, A.V., Anderson, B.D., Arkhipkin, D., Averichev, G.S., Badyal, S.K., Balewski, J., Barannikova, O., Barnby, L.S., Baudot, J., Baumgart, S., Beavis, D.R., Bellwied, R., Benedosso, F., Betancourt, M.J., Betts, R.R., Bhasin, A., Bhati, A.K., Bichsel, H., Bielcik, J., Bielcikova, J., Biritz, B., Bland, L.C., Bnzarov, I., Bombara, M., Bonner, B.E., Bouchet, J., Braidot, E., Brandin, A.V., Bruna, E., Bueltmann, S., Burton, T.P., Bystersky, M., Cai, X.Z., Caines, H., Calderón, M., Catu, O., Cebra, D., Cendejas, R., Cervantes, M.C., Chajecki, Z., Chaloupka, P., Chattopadhyay, S., Chen, H.F., Chen, J.H., Chen, J.Y., Cheng, J., Cherney, M., Chikanian, A., Choi, K.E., Christie, W., Clarke, R.F., Codrington, M.J.M., Corliss, R., Cormier, T.M., Cosentino, M.R., Cramer, J.G., Crawford, H.J., Das, D., Das, S., Dash, S., Daugherity, M., De Silva, L.C., Dedovich, T.G., DePhillips, M., Derevschikov, A.A., Derradi de Souza, R., Didenko, L., Djawotho, P., Dogra, S.M., Dong, X., Drachenberg, J.L., Draper, J.E., Dunlop, J.C., Mazumdar, M.R. Dutta, Efimov, L.G., Elhalhuli, E., Elnimr, M., Engelage, J., Eppley, G., Erazmus, B., Estienne, M., Eun, L., Fachini, P., Fatemi, R., Fedorisin, J., Feng, A., Filip, P., Finch, E., Fine, V., Fisyak, Y., Gagliardi, C.A., Gaillard, L., Gangadharan, D.R., Ganti, M.S., Garcia-Solis, E.J., Geromitsos, A., Geurts, F., Ghazikhanian, V., Ghosh, P., Gorbunov, Y.N., Gordon, A., Grebenyuk, O., Grosnick, D., Grube, B., Guertin, S.M., Guimaraes, K.S.F.F., Gupta, A., Gupta, N., Guryn, W., Haag, B., Hallman, T.J., Hamed, A., Harris, J.W., He, W., Heinz, M., Hepplemann, S., Hippolyte, B., Hirsch, A., Hjort, E., Hoffman, A.M., Hoffmann, G.W., Hofman, D.J., Hollis, R.S., Huang, H.Z., Humanic, T.J., Huo, L., Igo, G., Iordanova, A., Jacobs, P., Jacobs, W.W., Jakl, P., Jena, C., Jin, F., Jones, C.L., Jones, P.G., Joseph, J., Judd, E.G., Kabana, S., Kajimoto, K., Kang, K., Kapitan, J., Kauder, K., Keane, D., Kechechyan, A., Kettler, D., Khodyrev, V.Yu., Kikola, D.P., Kiryluk, J., Kisiel, A., Klein, S.R., Knospe, A.G., Kocoloski, A., Koetke, D.D., Konzer, J., Kopytine, M., Koralt, I., Korsch, W., Kotchenda, L., Kouchpil, V., Kravtsov, P., Kravtsov, V.I., Krueger, K., Krus, M., Kuhn, C., Kumar, L., Kurnadi, P., Lamont, M.A.C., Landgraf, J.M., LaPointe, S., Lauret, J., Lebedev, A., Lednicky, R., Lee, C.-H., Lee, J.H., Leight, W., LeVine, M.J., Li, C., Li, N., Li, Y., Lin, G., Lindenbaum, S.J., Lisa, M.A., Liu, F., Liu, H., Liu, J., Liu, L., Ljubicic, T., Llope, W.J., Longacre, R.S., Love, W.A., Lu, Y., Ludlam, T., Ma, G.L., Ma, Y.G., Mahapatra, D.P., Majka, R., Mall, O.I., Mangotra, L.K., Manweiler, R., Margetis, S., Markert, C., Masui, H., Matis, H.S., Matulenko, Yu.A., McDonald, D., McShane, T.S., Meschanin, A., Millner, R., Minaev, N.G., Mioduszewski, S., Mischke, A., Mohanty, B., Mondal, M.M., Morozov, D.A., Munhoz, M.G., Nandi, B.K., Nattrass, C., Nayak, T.K., Nelson, J.M., Netrakanti, P.K., Ng, M.J., Nogach, L.V., Nurushev, S.B., Odyniec, G., Ogawa, A., Okada, H., Okorokov, V., Olson, D., Pachr, M., Page, B.S., Pal, S.K., Pandit, Y., Panebratsev, Y., Pawlak, T., Peitzmann, T., Perevoztchikov, V., Perkins, C., Peryt, W., Phatak, S.C., Pile, P., Planinic, M., Ploskon, M.A., Pluta, J., Plyku, D., Poljak, N., Poskanzer, A.M., Potukuchi, B.V.K.S., Prindle, D., Pruneau, C., Pruthi, N.K., Pujahari, P.R., Putschke, J., Raniwala, R., Raniwala, S., Ray, R.L., Redwine, R., Reed, R., Ridiger, A., Ritter, H.G., Roberts, J.B., Rogachevskiy, O.V., Romero, J.L., Rose, A., Roy, C., Ruan, L., Russcher, M.J., Sahoo, R., Sakai, S., Sakrejda, I., Sakuma, T., Salur, S., Sandweiss, J., Sarsour, M., Schambach, J., Scharenberg, R.P., Schmitz, N., Seger, J., Selyuzhenkov, I., Seyboth, P., Shabetai, A., Shahaliev, E., Shao, M., Sharma, M., Shi, S.S., Shi, X.-H., Sichtermann, E.P., Simon, F., Singaraju, R.N., Skoby, M.J., Smirnov, N., Sorensen, P., Sowinski, J., Spinka, H.M., Srivastava, B., Stanislaus, T.D.S., Staszak, D., Strikhanov, M., Stringfellow, B., Suaide, A.A.P., Suarez, M.C., Subba, N.L., Sumbera, M., Sun, X.M., Sun, Y., Sun, Z., Surrow, B., Symons, T.J.M., Szanto de Toledo, A., Takahashi, J., Tang, A.H., Tang, Z., Tarini, L.H., Tarnowsky, T., Thein, D., Thomas, J.H., Tian, J., Timmins, A.R., Timoshenko, S., Tlusty, D., Tokarev, M., Trainor, T.A., Tram, V.N., Trattner, A.L., Trentalange, S., Tribble, R.E., Tsai, O.D., Ulery, J., Ullrich, T., Underwood, D.G., Van Buren, G., van Leeuwen, M., van Nieuwenhuizen, G., Vanfossen, J.A., Jr., Varma, R., Vasconcelos, G.M.S., Vasiliev, A.N., Videbaek, F., Vigdor, S.E., Viyogi, Y.P., Vokal, S., Voloshin, S.A., Wada, M., Walker, M., Wang, F., Wang, G., Wang, H., Wang, J.S., Wang, Q., Wang, X., Wang, X.L., Wang, Y., Webb, G., Webb, J.C., Westfall, G.D., Whitten, C., Jr., Wieman, H., Wissink, S.W., Witt, R., Wu, Y., Xie, W., Xu, N., Xu, Q.H., Xu, Y., Xu, Z., Yang, Y., Yepes, P., Yip, K., Yoo, I.-K., Yue, Q., Zawisza, M., Zbroszczyk, H., Zhan, W., Zhang, S., Zhang, W.M., Zhang, X.P., Zhang, Y., Zhang, Z.P., Zhao, Y., Zhong, C., Zhou, J., Zhu, X., Zoulkarneev, R., Zoulkarneeva, Y., and Zuo, J.X.

Published
2010
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8. Observation of an Antimatter Hypernucleus

Author

Abelev, B. I., Aggarwal, M. M., Ahammed, Z., Alakhverdyants, A. V., Alekseev, I., Anderson, B. D., Arkhipkin, D., Averichev, G. S., Balewski, J., Barnby, L S., Baumgart, S., Beavis, D. R., Bellwied, R., Betancourt, M. J., Betts, R. R., Bhasin, A., Bhati, A. K., Bichsel, H., Bielcik, J., Bielcikova, J., Biritz, B., Bland, L. C., Bonner, B. E., Bouchet, J., Braidot, E., Brandin, A. V., Bridgeman, A., Bruna, E., Bueltmann, S., Bunzarov, I., Burton, T. P., Cai, X. Z., Caines, H., Calderon, M., Catu, O., Cebra, D., Cendejas, R., Cervantes, M. C., Chajecki, Z., Chaloupka, P., Chattopadhyay, S., Chen, H. F., Chen, J. H., Chen, J. Y., Cheng, J., Cherney, M., Chikanian, A., Choi, K. E., Christie, W., Chung, P., Clarke, R. F., Codrington, M. J. M., Corliss, R., Cramer, J. G., Crawford, H. J., Das, D., Dash, S., Leyva, Davila A., De Silva, L. C., Debbe, R. R., Dedovich, T. G., DePhillips, M., Derevschikov, A. A., de Souza, Derradi R., Didenko, L., Djawotho, P., Dogra, S. M., Dong, X., Drachenberg, J. L., Draper, J. E., Dunlop, J. C., Dutta Mazumdar, M. R., Efimov, L G., Elhalhuli, E., Elnimr, M., Engelage, J., Eppley, G., Erazmus, B., Estienne, M., Eun, L, Evdokimov, O., Fachini, P., Fatemi, R., Fedorisin, J., Fersch, R. G., Filip, P., Finch, E., Fine, V., Fisyak, Y., Gagliardi, C. A., Gangadharan, D. R., Ganti, M. S., Garcia-Solis, E. J., Geromitsos, A., Geurts, F., Ghazikhanian, V., Ghosh, P., Gorbunov, Y. N., Gordon, A., Grebenyuk, O., Grosnick, D., Grube, B., Guertin, S. M., Gupta, A., Gupta, N., Guryn, W., Haag, B., Hamed, A., Han, L-X., Harris, J. W., Hays-Wehle, J. P., Heinz, M., Heppelmann, S., Hirsch, A., Hjort, E., Hoffman, A. M., Hoffmann, G. W., Hofman, D. J., Hollis, R. S., Huang, B., Huang, H. Z., Humanic, T. J., Huo, L., Igo, G., lordanova, A., Jacobs, P., Jacobs, W. W., Jakl, P., Jena, C., Jin, F., Jones, C. L, Jones, P. G., Joseph, J., Judd, E. G., Kabana, S., Kajimoto, K., Kang, K., Kapitan, J., Kauder, K., Keane, D., Kechechyan, A., Kettler, D., Kikola, D. P., Kiryluk, J., Kisiel, A., Klein, S. R., Knospe, A. G., Kocoloski, A., Koetke, D. D., Kollegger, T., Konzer, J., Kopytine, M., Koralt, I., Koroleva, L., Korsch, W., Kotchenda, L., Kouchpil, V., Kravtsov, P., Krueger, K., Krus, M., Kumar, L., Kurnadi, P., Lamont, M. A. C., Landgraf, J. M., LaPointe, S., Lauret, J., Lebedev, A., Lednicky, R., Lee, C.-H., Lee, J. H., Leight, W., Levine, M. J., Li, C., Li, L, Li, N., Li, W., Li, X., Li, Y., Li, Z., Lin, G., Lindenbaum, S. J., Lisa, M. A., Liu, F., Liu, H., Liu, J., Ljubicic, T., Llope, W. J., Longacre, R. S., Love, W. A., Lu, Y., Luo, X., Ma, G. L, Ma, Y. G., Mahapatra, D. P., Majka, R., Mal, O. I., Mangotra, L. K., Manweiler, R., Margetis, S., Markert, C., Masui, H., Matis, H. S., Matulenko, Yu. A., McDonald, D., McShane, T. S., Meschanin, A., Milner, R., Minaev, N. G., Mioduszewski, S., Mischke, A., Mitrovski, M. K., Mohanty, B., Mondal, M. M., Morozov, B., Morozov, D. A., Munhoz, M. G., Nandi, B. K., Nattrass, C., Nayak, T. K., Nelson, J. M., Netrakanti, P. K., Ng, M. J., Nogach, L. V., Nurushev, S. B., Odyniec, G., Ogawa, A., Okada, H., Okorokov, V., Olson, D., Pachr, M., Page, B. S., Pal, S. K., Pandit, Y., Panebratsev, Y., Pawlak, T., Peitzmann, T., Perevoztchikov, V., Perkins, C., Peryt, W., Phatak, S. C., Pile, P., Planinic, M., Ploskon, M. A., Pluta, J., Plyku, D., Poljak, N., Poskanzer, A. M., Potukuchi, B. V. K. S., Powell, C. B., Prindle, D., Pruneau, C., Pruthi, N. K., Pujahari, P. R., Putschke, J., Qiu, H., Raniwala, R., Raniwala, S., Ray, R. L, Redwine, R., Reed, R., Ritter, H. G., Roberts, J. B., Rogachevskiy, O. V., Romero, J. L., Rose, A., Roy, C., Ruan, L, Sahoo, R., Sakai, S., Sakrejda, I., Sakuma, T., Salur, S., Sandweiss, J., Sangaline, E., Schambach, J., Scharenberg, R. P., Schmitz, N., Schuster, T. R., Seele, J., Seger, J., Selyuzhenkov, I., Seyboth, P., Shahaliev, E., Shao, M., Sharma, M., Shi, S. S., Sichtermann, E. P., Simon, F., Singaraju, R. N., Skoby, M. J., Smirnov, N., Sorensen, P., Sowinski, J., Spinka, H. M., Srivastava, B., Stanislaus, T. D. S., Staszak, D., Stevens, J. R., Stock, R., Strikhanov, M., Stringfellow, B., Suaide, A. A. P., Suarez, M. C., Subba, N. L, Sumbera, M., Sun, X. M., Sun, Y., Sun, Z., Surrow, B., Svirida, D. N., Symons, T. J. M., de Toledo, Szanto A, Takahashi, J., Tang, A. H., Tang, Z., Tarini, L. H., Tamowsky, T., Thein, D., Thomas, J. H., Tian, J., Timmins, A. R., Timoshenko, S., Tlusty, D., Tokarev, M., Trainor, T. A., Tram, V. N., Trentalange, S., Tribble, R. E., Tsai, O. D., Ulery, J., Ullrich, T., Underwood, D. G., Van Buren, G., van Leeuwen, M., van Nieuwenhuizen, G., Vanfossen, J. A, Jr., Varma, R., Vasconcelos, G. M. S., Vasiliev, A. N., Videbaek, F., Viyogi, Y. P., Vokal, S., Voloshin, S. A., Wada, M., Walker, M., Wang, F., Wang, G., Wang, H., Wang, J. S., Wang, Q., Wang, X. L., Wang, Y., Webb, G., Webb, J. C., Westfall, G. D., Jr., Whitten C., Wieman, H., Wingfield, E., Wissink, S. W., Witt, R., Wu, Y., Xie, W., Xu, H., Xu, N., Xu, Q. H., Xu, W., Xu, Y., Xu, Z., Xue, L, Yang, Y., Yepes, P., Yip, K., Yoo, I.-K., Yue, Q., Zawisza, M., Zbroszczyk, H., Zhan, W., Zhang, J., Zhang, S., Zhang, W. M., Zhang, X. P., Zhang, Y., Zhang, Z. P., Zhao, J., Zhong, C., Zhou, J., Zhou, W., Zhu, X., Zhu, Y. H., Zoulkarneev, R., and Zoulkarneeva, Y.

Published
2010
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9. Effects of Single-Dose Dietary Nitrate on Oxygen Consumption During and After Maximal and Submaximal Exercise in Healthy Humans: A Pilot Study.

Author

KOCOLOSKI, GENEVIEVE M. and CRECELIUS, ANNE R.

Subjects
OXYGEN consumption, PHYSIOLOGICAL effects of nitrates, NITRATES, EXERCISE, PHYSICAL activity
Abstract

Dietary nitrate (NO3-) has been shown to reduce oxygen consumption (VO2) during moderate to high-intensity (e.g. time to fatigue, time trials) exercise and often in trained athletes. However, less is known regarding prolonged exercise and the potential impact of NO3- on post-exercise excess oxygen consumption (EPOC), particularly in untrained individuals, who may have different metabolic goals during exercise than trained individuals. We tested the hypothesis that acute nitrate supplementation in the form of beet root juice will significantly decrease both VO2 during maximal exercise and EPOC in both maximal and submaximal exercise trials. Eight young, moderately active, healthy males (age: 24.8±1.4 years, body mass index: 23.7±0.4 kg/m2; VO2max: 34.2±3.9 ml/kg/min) performed step-wise maximal cycle exercise (n=4) and prolonged submaximal cycle exercise (n=6) (45 min; 38±2% of max work rate) in control (anti-bacterial mouthwash) and acute NO3- supplemented conditions [70ml concentrated beet root juice (0.4g NO3-), 2 hrs prior to exercise] on separate occasions. Measurements of VO2 (indirect calorimetry), arterial blood pressure (MAP; sphygmomanometry), and heart rate (HR; ECG) were made before, during, and following exercise bouts. NO3- reduced MAP at rest ~1-3mmHg. However, NO3- had no impact on VO2 during maximal (VO2max, Ctrl: 34.2±3.9 ml/kg/min vs NO3-: 31.7±4.4 ml/kg/min), submaximal exercise (average of min 25-45, Ctrl: 24.6±2.4 ml/kg/min vs NO3-: 26.8±3.3 ml/kg/min) or EPOC (area under the curve, Ctrl: 0.57±0.24 L vs NO3-: 0.66±0.16 L). Thus, while NO3- supplementation may have performance benefits in elite athletes exercising at high intensities, in recreationally active males, there appears to be little impact on changes in VO2 due to maximal or submaximal prolonged exercise. [ABSTRACT FROM AUTHOR]

Published
2018
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11. Lightweight Memory Management for High Performance Applications in Consolidated Environments.

Author

Kocoloski, Brian and Lange, John

Subjects
*LINUX operating systems, *LOAD balancing (Computer networks), *QUEUEING networks, *COMPUTER operating systems, *COMPUTER multitasking
Abstract

Linux-based operating systems and runtimes (OS/Rs) have emerged as the environments of choice for the majority of HPC systems. While Linux-based OS/Rs have advantages such as extensive feature sets and developer familiarity, these features come at the cost of additional system overhead. In contrast to Linux, there is a substantial history of work in the HPC community focused on lightweight OS/Rs that provide scalable and consistent performance for HPC applications, but lack many of the features offered by commodity OS/Rs. In this paper, we propose to bridge the gap between LWKs and commodity OS/Rs by selectively providing a lightweight memory subsystem for HPC applications in a commodity OS/R where concurrently executing a diverse range of workloads is commonplace. Our system HPMMAP provides lightweight memory performance transparently to HPC applications by bypassing Linux's memory management layer. Using HPMMAP, HPC applications achieve consistent performance while the same local compute nodes execute competing workloads likely to be found in HPC clusters and “in-situ” workload deployments. Our approach is dynamically configurable at runtime, and requires no resources when not in use. We show that HPMMAP can decrease variance and reduce application runtime by up to 50 percent when executing a co-located competing commodity workload. [ABSTRACT FROM AUTHOR]

Published
2016
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13. Successful management of secondary cryofibrinogenaemia using bosentan therapy.

Author

Kocoloski, Amanda, Aggarwal, Rohit, and Lienesch, Douglas

Subjects
*STEROID drugs, *VASODILATORS, *PROSTACYCLIN, *BIOPSY, *BLOOD coagulation disorders, *FOOT, *NECROSIS, *TOES, *TREATMENT effectiveness, *THERAPEUTICS
Abstract

The authors report the first case of cryofibrinogenaemia secondary to cyclophoshamide, thalidomide, and dexamethasone refractory to conventional treatment in a 76-year-old white female, but markedly responsive to vasodilator therapy with bosentan. The patient's phenotype had elements of a systemic sclerosis overlap syndrome. Examination for active autoimmune, inflammatory, and hypercoagulable conditions was negative. The most sensitive techniques have yielded 3 percent in healthy patients.

Published
2018
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15. Improving compute node performance using virtualization.

Author

Kocoloski, Brian and Lange, John

Subjects
*LINUX operating systems, *PERFORMANCE, *VIRTUAL reality, *COMPUTER systems, *INFORMATION technology, *VIRTUAL machine systems
Abstract

Modified variants of Linux are likely to be the underlying operating systems (OSs) for future exascale platforms. Despite the many advantages of this approach, a subset of applications exist in which a lightweight kernel (LWK)-based OS is needed and/or preferred. We contend that virtualization is capable of supporting LWKs as virtual machines (VMs) running at scale on top of a Linux environment. Furthermore, we claim that a properly designed virtual machine monitor (VMM) can provide an isolated and independent environment that avoids the overheads of the Linux host OS. To validate the feasibility of this approach we demonstrate that given a Linux host OS, benchmarks running in a virtualized LWK environment are capable of outperforming the same benchmarks executed directly on the Linux host. [ABSTRACT FROM AUTHOR]

Published
2013
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