Journal articles on the topic 'Enterprise Utah'

Abstract Over the past several decades, Utah has experienced rapid population growth, resulting in increased demand on Utah’s existing interstate and arterial infrastructure. In the Salt Lake City, Utah, metropolitan area, recurring traffic congestion (i.e., peak commute times) and nonrecurring congestion (weather related) result in an estimated average annual cost of $449 million. Recent Utah Department of Transportation (UDOT) studies have confirmed that inclement weather plays a significant role in nonrecurring congestion and associated negative impacts. In an effort to measure and potentially mitigate weather-related traffic congestion, a cooperative research study between academic (University of Utah), state [Utah Department of Transportation (UDOT)], federal (National Weather Service), and private sector (Weathernet) entities was undertaken. Driver awareness surveys were conducted for two significant winter storms along the Wasatch Front urban corridor. Participants typically used media and personal sources for gathering weather and road information, with government sources (UDOT and NWS) used less frequently. Use of government and personal sources were significant predictors of behavior change. Satisfaction with all information sources was high. The most frequent commuting changes reported were route changes and shifts in travel schedule, especially leaving early to avoid the storm. Self-reported actions from interviewees were supported by measured changes in speed, flow, and travel time from the Performance Measurement System (PeMS) utilized by UDOT. The long-term goal is to use these results to provide insight into how the weather enterprise might more effectively communicate hazard information to the public in a manner that leads to improved response (change travel times, modes, etc.).

IntroductionThe National Clinical and Translational Science Award (CTSA) Consortium 2.0 has developed common metrics as a collaborative project for all participating sites. Metrics address several important aspects and functions of the consortium, including workforce development. The first workforce development metrics to be proposed for all CTSA hubs include the proportion of CTSA-supported trainees and scholars with sustainable careers in translational research and the diversity and inclusiveness of programs.Methods and resultsThe University of Utah Center for Clinical and Translational Science (CCTS), a CTSA hub, has been actively engaged in mentoring translational scientists for the last decade. We have developed programs, processes, and institutional policies that support translational scientists, which have resulted in 100% of our KL2 scholars remaining engaged in translational science and in increasing the inclusion of individuals under-represented in medicine in our research enterprise. In this paper, we share details of our program and what we believe are evidence-based best practices for developing sustainable translational research careers for all aspiring junior faculty members.ConclusionsThe University of Utah Center for Clinical and Translational Science has been integral in catalyzing interactions across the campus to reverse the negative trends seen nationally in sustaining clinician scientists. Our programs and processes can serve as a model for other institutions seeking to develop translational scientists.

e20043 Background: Treatment charges increase during the last year of life in patients with melanoma, but it remains unknown if charges differ between patients who die during treatment and survivors. The objective of this study was to examine annualized mean charges by melanoma survival status. Methods: The University of Utah Enterprise Data Warehouse was used to analyze patients ≥18 years with a diagnosis of melanoma identified by ICD-9 code (first diagnosis defined as index date) treated at the Huntsman Cancer institute (HCI) from 2002-2010. The HCI tumor registry was used to determine stage at diagnosis and other cancer diagnoses. Cause and date of death was captured from the Utah Population Database. Cancer-related (CR) and non-CR charges were assessed by ICD-9 codes from index date until death or end of the follow-up period, were weighted by the inverse probability of survival, and annualized. Generalized linear models (GLM) with gamma distribution and log link function were used to examine charges by survival status, adjusting for baseline characteristics including demographics, disease stage, and comorbidities. Results: A total of 1205 patients were included, of which 218 (18%) died. Compared to alive patients, deceased patients were older (60 vs. 56), more female (40% vs. 28%), more were diagnosed with stage IV disease (19% vs. 3%), and less with stage I disease (26% vs. 66%) (all p≤0.001). Mean unadjusted annualized charges were not significantly different between the two groups for CR charges (deceased $15,109 vs. alive $14,519; p=0.89), but non-CR charges were higher for deceased patients ($77,390 vs. $18,719; p<0.001). GLM results indicated deceased patients, relative to survivors, had 59% higher annualized CR charges (p<0.001) overall, with higher CR charges at stages I and II (86% and 76%, respectively; both p<0.001), and lower CR charges at stage IV (-127%; p<0.001). Death was associated with 154% higher annualized non-CR charges (p<0.001) at stages I, II, III, and IV (210%, 167%, 119%, and 73%, respectively; all p<0.05). Conclusions: When adjusting for confounders, deceased melanoma patients had higher charges overall compared to melanoma survivors. The exception was for decreased CR charges in stage IV, most likely related to earlier death.

e11541 Background: Breast cancer treatment can be costly, but it remains unknown if charges differ between patients who die during treatment compared to survivors. The objective of this study was to assess annualized mean charges by survival status in patients with a diagnosis of breast cancer. Methods: The University of Utah Enterprise Data Warehouse was used to analyze patients ≥18 years with a diagnosis of breast cancer identified by ICD-9 code (initial diagnosis defined as index date) treated at the Huntsman Cancer institute (HCI) from 2002-2010. The HCI Tumor Registry was used to determine stage at diagnosis and other cancers. Cause and date of death was captured from the Utah Population Database. Cancer-related (CR) and non-CR charges were by ICD-9 codes from index date until death or end of the follow-up period, were weighted by the inverse probability of survival, and annualized. Generalized linear models (GLM) with gamma distribution and log link function were used to examine charges by survival status, while adjusting for baseline characteristics including demographics, stage, and comorbidities. Results: There were 1783 patients included, of which 296 (17%) died. Compared to survivors, deceased patients were older (mean age 62 vs. 56), more were diagnosed with stage IV disease (17% vs. 3%), and fewer with stage I (24% vs. 45%); all p<0.001. Mean unadjusted annualized CR charges were not different between groups (deceased $34,310 vs. alive $32,797; p=0.64), but non-CR charges were higher for deceased patients ($39,926 vs. $16,538; p<0.001). GLM results indicated deceased patients had 90% higher annualized CR charges relative to survivors (p<0.001) and higher charges for stages I, II, and III (125%, 86%, and 69%, respectively; all p<0.001). Deceased patients had 124% higher annualized non-CR charges relative to survivors (p<0.001) and higher charges for stages I, II, and III (174%, 146%, and 107%, respectively; all p<0.001). Charges did not differ between groups for stage IV patients. Conclusions: When adjusting for confounders, death was associated with higher CR and non-CR charges, except in patients with stage IV disease at diagnosis. Patients who died during treatment may have had more aggressive disease leading to higher charges.

Groundwater resources are expensive to develop and use; they are difficult to monitor and data collected from monitoring wells are often sporadic, often only available at irregular, infrequent, or brief intervals. Groundwater managers require an accurate understanding of historic groundwater storage trends to effectively manage groundwater resources, however, most if not all well records contain periods of missing data. To understand long-term trends, these missing data need to be imputed before trend analysis. We present a method to impute missing data at single wells, by exploiting data generated from Earth observations that are available globally. We use two soil moisture models, the Global Land Data Assimilation System (GLDAS) model and National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) soil moisture model to impute the missing data. Our imputation method uses a machine learning technique called Extreme Learning Machine (ELM). Our implementation uses 11 input data-streams, all based on Earth observation data. We train and apply the model one well at a time. We selected ELM because it is a single hidden layer feedforward model that can be trained quickly on minimal data. We tested the ELM method using data from monitoring wells in the Cedar Valley and Beryl-Enterprise areas in southwest Utah, USA. We compute error estimates for the imputed data and show that ELM-computed estimates were more accurate than Kriging estimates. This ELM-based data imputation method can be used to impute missing data at wells. These complete time series can be used improve the accuracy of aquifer groundwater elevation maps in areas where in-situ well measurements are sparse, resulting in more accurate spatial estimates of the groundwater surface. The data we use are available globally from 1950 to the present, so this method can be used anywhere in the world.

The geologic profile of the western United States lends itself to naturally elevated levels of arsenic and uranium in groundwater and can be exacerbated by mining enterprises. The Navajo Nation, located in the American Southwest, is the largest contiguous Native American Nation and has over a 100-year legacy of hard rock mining. This study has two objectives, quantify the arsenic and uranium concentrations in water systems in the Arizona and Utah side of the Navajo Nation compared to the New Mexico side and to determine if there are other elements of concern. Between 2014 and 2017, 294 water samples were collected across the Arizona and Utah side of the Navajo Nation and analyzed for 21 elements. Of these, 14 elements had at least one instance of a concentration greater than a national regulatory limit, and six of these (V, Ca, As, Mn, Li, and U) had the highest incidence of exceedances and were of concern to various communities on the Navajo Nation. Our findings are similar to other studies conducted in Arizona and on the Navajo Nation and demonstrate that other elements may be a concern for public health beyond arsenic and uranium.

e-government kini menjadi salah satu hal yang penting dalam penyelenggaraan pemerintahan. Hal tersebut disebabkan penerapan e-government dapat meningkatkan kualitas layanan pemerintahan menjadi lebih efektif dan efisien. Purwakarta merupakan salah satu kabupaten di Indonesia yang telah menerapkan e-government. Namun, penerapan e-government di Kabupaten Purwakarta masih pada tahap catalogue, yaitu sebatas pemberian informasi pemerintahan melalui website pemerintahan. Oleh karena itu, diperlukan suatu analisis mendalam mengenai arsitektur e-government di Pemerintahan Kabupaten Purwakarta yang hasilnya dapat digunakan untuk menggambarkan tingkat maturitas setiap komponen arsitektur dan juga dapat digunakan sebagai acuan untuk merencanakan pengembangan arsitektur e-government sampai ke tahap horizontal integration. Penelitian ini mengimplementasikan Federal Enterprise Architecture (FEA) dengan menggunakan Collaborative Planning Methodology (CPM) sebagai metodenya. Implementasi CPM hanya pada fase Organize and Plan yang terdiri dari tiga tahapan, yaitu Identify and Validate, Research and Leverage, serta Define and Plan pada aktivitas yang berkaitan dengan analisis kondisi arsitektur yang saat ini sedang berjalan. Implementasi kerangka kerja FEA pada penelitian ini tidak dilakukan secara utuh tapi disesuaikan dengan kondisi Pemerintahan Kabupaten Purwakarta. Hasil dari penelitian ini adalah analisis arsitektur strategi, bisnis, data, aplikasi, infrastruktur, dan keamanan sistem e-government di Kabupaten Purwakarta, serta tingkat maturitas dari setiap arsitektur tersebut

Perancangan ERP (Enterprise Resource Planning) di PT. Selectrix Indonesia menjadi langkah awal dalam menerapkan strategi integrasi seluruh aspek kegiatan operasional perusahaan baik internal maupun eksternal. Persaingan bisnis yang semakin pesat dan ketat menuntut perusahaan untuk terus meningkatkan kinerja, memiliki keunggulan dalam kompetisi dan daya saing. Penerapan ERP tidaklah mudah, karena menyatukan seluruh proses bisnis dan fungsi bisnis di perusahaan dalam sebuah sistem yang utuh dan saling berkaitan satu sama lainnya. Sehingga diperlukannya suatu perancangan ERP yang baik dan tepat sesuai dengan proses bisnis dan kebutuhan perusahaan, karena tidak sedikit berbagai implementasi ERP oleh perusahaan-perusahaan di Indonesia yang mengalami kegagalan baik disebabkan oleh over budget, over time dalam pengerjaan proyek, kinerja sistem yang kurang dan keuntungan yang tidak sesuai harapan (Dantes & Hasibuan 2011). Perancangan ERP perlu dilakukan secara matang, melihat berbagai fungsi bisnis yang ada dalam perusahaan seperti fungsi bisnis tata kelola karyawan (human resource), tata kelola keuangan (financial), tata kelola persediaan (inventory), tata kelola distribusi (distribution), tata kelola penjualan (sales) dan fungsi-fungsi bisnis lainnya yang ada di perusahaan. Output dari penelitian ini berupa cetak biru (blueprint) sebuah perancangan ERP yang tepat untuk di terapkan di PT. Selectrix Indonesia didasarkan proses bisnis dan kebutuhan perusahaan.

Penelitian ini adalah penggabungan antara penelitian kualitatif dan penelitian kuantitatif. Lokasi penelitian di lakukan di Kota Semarang. Data yang digunakan dalam penelitian ini meliputi data primer dari hasil angket kepada Pengusaha Mikro Kecil dan Menengah dan wawancara langsung dengan petugas PT Jasa Marga (Persero), Tbk bagian PKBL (Program Kemitraan dan Bina Lingkungan). Hasil penelitian yang telah dilakukan membuktikan bahwa mekanisme program Penyaluran Kredit yang diberikan PT Jasa Marga (Persero), Tbk kepada Usaha Mikro Kecil Menengah dilaksanakan secara utuh sesuai dengan peraturan yang berlaku. Program Penyaluran Kredit telah dilaksanakan dengan berpedoman pada SK Direksi No.230/KPTS/2007, sasaran dari Program Kemitraan ini adalah Usaha Mikro Kecil Menengah (UMKM), efektivitas penyaluran kredit modal bergulir kurang efektif kepada Usaha Mikro Kecil Menengah untuk penjualan bersih rata – rata setiap bulan karena hanya mengalami kenaikan sebesar 64,75%. Berdasarkan hasil penelitian dapat disimpulkan bahwa implementasi peran program kemitraan yang dilaksanakan oleh PT Jasa Marga (Persero), Tbk cabang Semarang kepada UMKM sebagian besar kurang efektif dalam meningkatkan kinerja UMKM. This research is a merging of qualitative research and quantitative research. The research location is done in Semarang City. The data used in this study include the primary data from the questionnaire results to Micro Small and Medium Entrepreneurs and direct interviews with officials of PT Jasa Marga (Persero), Tbk part PKBL (Partnership and Community Development Program). The results of the research have proved that the mechanism of Credit Disbursement program given by PT Jasa Marga (Persero) Tbk to Micro Small Medium Enterprises is fully implemented in accordance with the prevailing regulations. Credit Disbursement Program has been implemented based on SK Direction No.230 / KPTS / 2007, the target of this Partnership Program is Micro Small Medium Enterprise (UMKM), the effectiveness of disbursing revolving capital credit is less effective for Micro Small Medium Enterprises for average net sales every month as it only experienced an increase of 64.75%. Based on the results of research can be concluded that the implementation of the role of partnership program implemented by PT Jasa Marga (Persero), Tbk Semarang branch to MSMEs most of the less effective to improve the performance of MSMEs

This thesis aims to determine the allocation of use of women remittance labor to the level of community welfare and from the allocation type of allocation which has an impact on the welfare of society. This research uses two methods of analysis i.e. qualitative analysis with a deskriftive approach and analysis of process hierarchy with data collection by way of interviews. The research object amounted to 50 people from the former TKW or TKW family determined by Convenience sampling. The second object amounted to 15 experts, namely academics who understand about welfare and determined by purposive sampling. The research location is located in Jorok Village, Utan Sumbawa District. Based on the analysis of the data that has been carried out the research results that there are two types of remittance categories that are consumptive and productive, from the productive use of TKW allocating remittance funds to education, buy land, animals Livestock and enterprises. As for consumptive use, namely fulfillment of daily necessities, vehicles, pay debts and home renovation. When compared to any criteria of productive use, buying land is the use that most affects the TKW in the use of remittance funds and is long term. For consumptive use, daily necessities are the most impactful uses for short-term TKW welfare.

RESUMENEl objetivo de este artículo es reflexionar sobre los mecanismos de financiación y de control de las instituciones religiosas por los laicos en las primeras décadas de la conquista y colonización de Hispanoamérica. Investigar sobre la inversión laica en lo sagrado supone en un primer lugar aclarar la historiografía sobre laicos, religión y dinero en las sociedades de Antiguo Régimen y su trasposición en América, planteando una mirada desde el punto de vista de las motivaciones múltiples de los actores seglares. A través del ejemplo de restituciones, donaciones y legados en losAndes, se explora el papel de los laicos españoles, y también de las poblaciones indígenas, en el establecimiento de la densa red de instituciones católicas que se construye entonces. La propuesta postula el protagonismo de actores laicos en la construcción de un espacio cristiano en los Andes peruanos en el siglo XVI y principios del XVII, donde la inversión económica permite contribuir a la transición de una sociedad de guerra y conquista a una sociedad corporativa pacificada.PALABRAS CLAVE: Hispanoamérica-Andes, religión, economía, encomienda, siglos XVI y XVII.ABSTRACTThis article aims to reflect on the mechanisms of financing and control of religious institutions by the laity in the first decades of the conquest and colonization of Spanish America. Investigating lay investment in the sacred sphere means first of all to clarifying historiography on laity, religion and money within Ancien Régime societies and their transposition to America, taking into account the multiple motivations of secular actors. 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Abstract Objective To establish an enterprise initiative for improving health and health care through interoperable electronic health record (EHR) innovations. Materials and Methods We developed a unifying mission and vision, established multidisciplinary governance, and formulated a strategic plan. Key elements of our strategy include establishing a world-class team; creating shared infrastructure to support individual innovations; developing and implementing innovations with high anticipated impact and a clear path to adoption; incorporating best practices such as the use of Fast Healthcare Interoperability Resources (FHIR) and related interoperability standards; and maximizing synergies across research and operations and with partner organizations. Results University of Utah Health launched the ReImagine EHR initiative in 2016. Supportive infrastructure developed by the initiative include various FHIR-related tooling and a systematic evaluation framework. More than 10 EHR-integrated digital innovations have been implemented to support preventive care, shared decision-making, chronic disease management, and acute clinical care. Initial evaluations of these innovations have demonstrated positive impact on user satisfaction, provider efficiency, and compliance with evidence-based guidelines. Return on investment has included improvements in care; over $35 million in external grant funding; commercial opportunities; and increased ability to adapt to a changing healthcare landscape. Discussion Key lessons learned include the value of investing in digital innovation initiatives leveraging FHIR; the importance of supportive infrastructure for accelerating innovation; and the critical role of user-centered design, implementation science, and evaluation. Conclusion EHR-integrated digital innovation initiatives can be key assets for enhancing the EHR user experience, improving patient care, and reducing provider burnout.

Abstract Where there is limited access to COVID-19 tests, or where the results of such tests have been delayed or even invalidated (e.g., California and Utah), there is a need for scalable alternative approaches—such as a heuristic model or “pregnancy test for COVID-19” that can factor in the time denominator (i.e., duration of symptoms). This paper asks whether infection among these public health and safety agencies is a "canary in the coal mine," litmus test, or microcosm (pick your analogy) for the communities in which they operate. Can COVID-19 infection counts and rates be seen “moving around” communities by examining the virus’s effect on emergency responders themselves? The troubling question of emergency responders becoming “human indicator values” is relevant to maintaining the health of Mobile Medicine (EMS and Fire) personnel, as well as Police, who are an under-attended population, because without them our collective resiliency would crash. It has further implications for policies regarding, and investments, in exposure tracking and contact tracing, PPE acquisition, and mental and physical wellness. Design: We aggregated data from four (4) different EMS documentation systems across twelve (12) states using the MEDIVIEW BEACON Prehospital Health Information Exchange. We then outputted lists of charts containing critical ICD-10 values that had been identified by the WHO, the CDC, and the Los Angeles County Fire Dept. as inclusion criteria for possible signs, symptoms, and clinical impressions of COVID-19. Results: Three important results emergency from this study: (1) a demonstration of frequent exposure to possible COVID-19 infection among Mobile Medical (EMS & Fire) care providers in the states whose data were included; (2) a demonstration of the nervousness of the general population, given that calls for help due to possible COVID-19 based on symptomology exceeded the number of responses with a correlating “provider impression” after an informed clinical assessment; and (3) that this study was empowered by a public-private partnerships between a technology startup and numerous public health and public safety agencies, offers a template for success in rapidly implementing research and development collaborations. Limitations: This study incorporates data from only (a) twelve (12) states, and (b) four (4) Mobile Medical documentation systems. We sought to combat these limitations by ensuring that our sample crosses agencies types, geographies, population demographics, and municipal environments (i.e., rural vs. urban). Conclusions: Other studies have noted that EMS agencies are tasked with transporting the “sickest of the sick.” We found that PPE is particularly essential where the frequency of encounters between potentially—or actually—infected patients is high, because from Los Angeles County to rural Texas, without sufficient protection, public health and public safety agencies have become microcosms of the communities they are meant to protect. Indeed, data from the first six months of the pandemic in the U.S.A. show that intra-departmental spread is one of (if not the) riskiest sources of infection among Mobile Medical professionals.