Добірка наукової літератури з теми "Billing data"

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Статті в журналах з теми "Billing data"

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Barnett, Paul G. "Research Without Billing Data." Medical Care 35, no. 6 (June 1997): 553–63. http://dx.doi.org/10.1097/00005650-199706000-00002.

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Labrèche, France, Tom Kosatsky, and Raymond Przybysz. "Childhood Asthma Surveillance using Administrative Data: Consistency between Medical Billing and Hospital Discharge Diagnoses." Canadian Respiratory Journal 15, no. 4 (2008): 188–92. http://dx.doi.org/10.1155/2008/412809.

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BACKGROUND: The absence of ongoing surveillance for childhood asthma in Montreal, Quebec, prompted the present investigation to assess the validity and practicality of administrative databases as a foundation for surveillance.OBJECTIVE: To explore the consistency between cases of asthma identified through physician billings compared with hospital discharge summaries.METHODS: Rates of service use for asthma in 1998 among Montreal children aged one, four and eight years were estimated. Correspondence between the two databases (physician billing claims versus medical billing claims) were explored during three different time periods: the first day of hospitalization, during the entire hospital stay, and during the hospital stay plus a one-day margin before admission and after discharge (‘hospital stay ± 1 day’).RESULTS: During 1998, 7.6% of Montreal children consulted a physician for asthma at least once and 0.6% were hospitalized with a principal diagnosis of asthma. There were no contemporaneous physician billings for asthma ‘in hospital’ during hospital stay ± 1 day for 22% of hospitalizations in which asthma was the primary diagnosis recorded at discharge. Conversely, among children with a physician billing for asthma ‘in hospital’, 66% were found to have a contemporaneous in-hospital record of a stay for ‘asthma’.CONCLUSIONS: Both databases of hospital and medical billing claims are useful for estimating rates of hospitalization for asthma in children. The potential for diagnostic imprecision is of concern, especially if capturing the exact number of uses is more important than establishing patterns of use.
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Weyland, Tina. "Student Data Privacy and Automatic Textbook Billing." OLA Quarterly 27, no. 1 (March 22, 2022): 38–42. http://dx.doi.org/10.5399/osu/1093-7374.27.01.09.

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The textbook market in U.S. higher education is changing. In recent years, publishers have developed an automatic billing model, in which colleges and universities negotiate deals with publishers to provide ebooks and courseware to students, folding the cost into student fees. This model is commonly known as "inclusive access." Because it offers students first-day access to course materials - important to student success - as well as some savings over full-priced standard textbooks, it is becoming popular with faculty and administrators. But textbook publishers are promoting these plans for another reason: The data they can collect with digital materials opens a lucrative new market, allowing them to diversify into analytics services.
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Bamezai, Anil. "On weather normalizing customer-level billing data." Water Resources Research 33, no. 5 (May 1997): 1171–78. http://dx.doi.org/10.1029/97wr00302.

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Molnar, Andreea. "Video quality vs. mobile data billing plans." Telematics and Informatics 33, no. 1 (February 2016): 227–31. http://dx.doi.org/10.1016/j.tele.2015.07.009.

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Ekin, Tahir, and Paul Damien. "Analysis of Health Care Billing via Quantile Variable Selection Models." Healthcare 9, no. 10 (September 27, 2021): 1274. http://dx.doi.org/10.3390/healthcare9101274.

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Fraudulent billing of health care insurance programs such as Medicare is in the billions of dollars. The extent of such overpayments remains an issue despite the emerging use of analytical methods for fraud detection. This motivates policy makers to also be interested in the provider billing characteristics and understand the common factors that drive conservative and/or aggressive behavior. Statistical approaches to tackling this problem are confronted by the asymmetric and/or leptokurtic distributions of billing data. This paper is a first attempt at using a quantile regression framework and a variable selection approach for medical billing analysis. The proposed method addresses the varying impacts of (potentially different) variables at the different quantiles of the billing aggressiveness distribution. We use the mammography procedure to showcase our analysis and offer recommendations on fraud detection.
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Ceratti, A., F. H. Roger France, and C. Beguin. "Health data quality improvement by comparing administrative medical data and billing data." International Journal of Medical Informatics 77, no. 8 (August 2008): 527–33. http://dx.doi.org/10.1016/j.ijmedinf.2007.10.003.

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Glauser, Wendy. "Physician billing data reveal striking gender pay gap." Canadian Medical Association Journal 192, no. 36 (September 7, 2020): E1051—E1052. http://dx.doi.org/10.1503/cmaj.1095894.

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Irwin, G. W., W. Monteith, and W. C. Beattie. "Statistical electricity demand modelling from consumer billing data." IEE Proceedings C Generation, Transmission and Distribution 133, no. 6 (1986): 328. http://dx.doi.org/10.1049/ip-c.1986.0048.

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COCHRAN, AUDREY, and NORMAN L. KELTNER. "Generating Home Health Agency Information From Billing Data." Nursing Management (Springhouse) 22, no. 7 (July 1991): 50–51. http://dx.doi.org/10.1097/00006247-199107000-00014.

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Дисертації з теми "Billing data"

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Seashore, Jonathan. "The automation of obtaining customer billing data." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/JSeashore2006.pdf.

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Lukalapu, Sushma. "Billing and receivables database application." CSUSB ScholarWorks, 2000. https://scholarworks.lib.csusb.edu/etd-project/1618.

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The purpose of this project is to design, build, and implement an information retrieval database system for the Accounting Department at CSUSB. The database will focus on the financial details of the student accounts maintained by the accounting personnel. It offers detailed information pertinent to tuition, parking, housing, boarding, etc.
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Chan, Emily. "Evaluating the use of physician billing data for age and setting specific influenza surveillance." Thesis, McGill University, 2009. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=32402.

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Syndromic surveillance has emerged as a novel, automated approach to monitoring diseases using pre-diagnostic but often non-specific data sources. However, there is little consensus about the best data sources. Using physician billing data from community-based care settings and emergency departments in Quebec, Canada during 1998-2003, we evaluated the lead-lag relationship between ambulatory medical visits for influenza-like illnesses (ILI) and pneumonia and influenza (P& I) hospitalizations by age-group, visit setting, and influenza season. To do so, we applied ARIMA modeling methodology and computed the cross-correlation function (CCF) using the residuals. ILI visits in community settings by children aged 5-17 years tended to provide the greatest lead times (at least 2 but up to 3 weeks) over P&I hospitalizations. Lead times varied each season, possibly due to the circulation of different strains each season. These findings have important implications for syndromic surveillance of influenza, as well as epidemic control strategies such as vaccination and school closure policies.
La surveillance syndromique a émergé comme une nouvelle approche automatisée pour le contrôle des maladies avec des sources de données pré-diagnostic, mais qui sont souvent non-spécifiques. Pourtant, il y a peu de consensus concernant les meilleures sources de données. En utilisant des factures médicales émises entre 1998 et 2003, et provenant de centres communautaire et de services d'urgence au Québec, Canada, nous avons évalué par tranche d'âge, le cadre des visites, et la saison de la grippe la relation d'avance-décalage entre les visites médicales ambulatoires pour le syndrome d'allure grippale (SAG) et les hospitalisations pour la pneumonie et la grippe. Pour ce faire, nous avons appliqué la méthodologie des modèles d'ARIMA et calculé la fonction de contre-corrélation (CCF) avec les résidus. Les visites communautaires reliée au SAG par des enfants âgés de 5-17 ans ont eu tendance à pourvoir les plus grandes avances (au moins 2 semaines, mais quelques fois jusqu'à 3 semaines) contre des hospitalisations pour la pneumonie et la grippe. Les avances ont varié chaque année, peut-être à cause de la circulation des souches différentes chaque saison. Ces résultats ont des implications importantes pour la surveillance syndromique de la grippe, ainsi que pour des stratégies de lutte contre l'épidémie, comme la vaccination et la fermeture d'écoles.
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Pidlaoan, Victorio P. "Use of Billing and Electronic Health Record Data to define an Alternative Payment Model for the Management of Acute Pancreatitis." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1511807834086251.

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Handlon, Lauree E. "The Relationship of the Financial Condition of a Healthcare Organization and the Error Rate of Potentially Missed Coding/Billing of Select Outpatient Services." The Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=osu1204650548.

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Strmiska, Roman. "Hotspotový systém pro více operátorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218144.

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Master’s thesis deals with the design and realization of a hotspot system for more Operators, it solves problems of QoS, billing of transferred data and distribution of services via a common wireless interface. The theoretic part is oriented to the selection of a suitable technology and explanation of a legislation, which relates to an activity of the hotspot‘s network. The practical part solves the choice of hardware, design and realization of the experimental network. In conclusion are tested transit parameters of the network and its functionality.
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D'Elboux, Adriano FogaÃa. "O impacto da autuaÃÃo fiscal no comportamento dos contribuintes do ICMS no Estado do CearÃ." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9902.

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nÃo hÃ
Diante da significativa importÃncia de se aferir a efetividade dos mecanismos de atuaÃÃo das administraÃÃes tributÃrias e o papel da auditoria fiscal no combate a evasÃo fiscal, analisa-se os impactos da AutuaÃÃo Fiscal imposta como puniÃÃo pela Auditoria Fiscal no Ãmbito da FiscalizaÃÃo TributÃria do ICMS sobre o comportamento dos contribuintes no Estado do CearÃ. Modelos com dados em painel com informaÃÃes sobre o grupo de tratamento formado por empresas fiscalizadas e autuadas por irregularidades no cumprimento de suas obrigaÃÃes tributÃrias no perÃodo de Julho de 2006 Ã Dezembro de 2006 foram contrastados com os de um grupo de controle composto por empresas que nÃo foram fiscalizadas e autuadas entre Janeiro de 2005 Ã Dezembro de 2007. Modelos para a elasticidade tributÃria do faturamento do contribuinte foram estimados tambÃm em segmentos de atividade para verificar efeitos setoriais da autuaÃÃo fiscal. Para o total das empresas nos diversos segmentos constatou-se um moderado impacto da autuaÃÃo fiscal sobre a elasticidade tributÃria do faturamento dos contribuintes autuados. Nos subgrupos, apenas o segmento Atacadista mostra o impacto positivo da autuaÃÃo fiscal.
Given the significant importance of measuring the effectiveness of the mechanisms of action of the tax administrations and the role of audit in combating tax evasion, we analyze the impacts of Tax Fine imposed as punishment for Tax Audit under the Tax Inspection of ICMS on behavior of taxpayers in the state of CearÃ. Models with panel data with information about the treatment group consists of companies audited and fined for irregularities in meeting their tax obligations in the period July 2006 to December 2006 were contrasted with a control group composed of companies that do not were audited and fined between January 2005 to December 2007. Models for the tax elasticity of the billing were estimated also in segments of activity to verify effects of sectoral tax fine. For the group of companies in various segments was found a moderate impact of the tax fine on the tax elasticity of billing from taxpayers fined. In subgroups, only the Wholesale segment shows the positive impact of tax fine.
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Ericsson, Yvonne. "E-fakturans inverkan på integritetskänslig vårdinformation." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-170.

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Denna uppsats handlar om integritetskänslig vårdinformation på fakturor, ett ämne som aktualiserats under mitt arbete på landstingets kansli i Jönköping. När en person får vård i annat län än hemlandstinget så skickas en faktura till hemlandstinget och innan dessa fakturor betalas måste de granskas och attesteras. Hanteringen kring detta upplevdes som tidsödande och ineffektiv, vilket ledde mig in på funderingar kring elektronisk fakturering (e-fakturering). Eftersom fakturorna innehåller integritetskänslig information, som personuppgifter och vissa uppgifter som går att koppla till diagnos och behandling, är det inte bara viktigt att hanteringen blir effektiv utan också att sekretessen kan upprätthållas under hela faktureringsprocessen.

I denna undersökning studeras hur hanteringen av integritetskänslig vårdinformation påverkas om fakturahanteringen digitaliseras. Syftet är att göra en jämförelse avseende hantering av sekretess mellan pappersfakturor och digitala e-fakturor. Undersökningen genomfördes med en kvalitativ ansats där en organisation, Jönköpings läns landsting, studerades mer ingående och för datainsamlingen valdes litteraturstudier och intervjuer.

Resultatet visade att sekretessen kring pappersfakturor är en känslig faktor då hanteringen av dessa inte går att spåra och att fakturor lätt kan försvinna inom organisationen. För e-fakturor finns däremot stor möjlighet till spårbarhet och kontroll över händelserna kring hanteringen. Det finns olika typer av e-fakturering och om ett system som till exempel EDI-fakturering väljs kan många uppgifter automatiseras vilket minskar risken för såväl avsiktliga som oavsiktliga sekretessbrott. Om vissa personuppgifter kan döljas innebär det dessutom en än större säkerhet för patienterna. Tekniskt sett finns det alltså många bra lösningar som kan förbättra sekretessen, men mycket av detta är dock endast en efterkontroll över att lagar och regler följs, till exempel sparade uppgifter om vad som har hänt en specifik faktura.

Det största hotet mot sekretess är dock den så kallade mänskliga faktorn. Det går inte att bygga ett informationssystem så att det inte finns den minsta risk för läckor, eftersom det alltid är de personer som hanterar de känsliga uppgifterna som gör att tanken blir till handling. Vissa typer av misstag eller slarv kan förebyggas med teknik, men personalens inställning till sitt eget arbete och det ansvar som det innebär är en grundläggande faktor såväl med pappers- som e-fakturor.


This thesis deals with integrity sensitive healthcare information on invoices, a subject that arose during my work at county council secretariat in Jönköping. When a person gets treatment in another county than the home county the invoice are sent to the home county, but before these invoices are paid, they have to be checked and attested. This handling was experienced as time consuming and ineffective which led me in to some thoughts around electronic billing (e-billing). The invoice contains integrity sensitive information, like personal code numbers and other kind of information, which is possible to connect with diagnosis and treatments. Therefore it is important that the handling becomes effective and that the secrecy can be maintained during the whole billing process.

In this study I discuss how the handling of integrity sensitive healthcare information is influenced if the invoice handling is digitalised. The purpose was to do a comparison the handling of secrecy between paper invoices and digital e-billing. The study was accomplished by a qualitative approach where one organisation, Jönköpings county council, was examined more thorough and for the data collection literature studies and interviews were chosen.

The result showed that the secrecy around paper invoices is a sensitive factor. It is not able to trace the handlings around these documents and an invoice could easily disappear within an organisation. On the contrary, for e-bills there is a large possibility to trace and control the handlings. There are different kinds of e-billing and if a system like for example EDI-billing is chosen, a lot of tasks could be automatized. That will decrease the risk for intentional as well as unintentional secrecy crimes. Furthermore, if some personal information could be hidden, it would mean a better safety for the patients. Technically there are a lot of good solutions that is able to improve the secrecy, but a lot of these are only a recheck that laws and rules are followed, for example saved information about what have happened with a specific invoice.

The biggest threat though is the so called human element. It is impossible to build an information system that contains no leaks, because it is always the persons that are handling the delicate information that makes the thoughts into actions. Some kind of mistakes or carelessness could be prevented by technical solutions, but the staffs’ attitude of their work and the responsibility is a fundamental factor with papers- as well as e-bills.

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Тимчук, Микола Іванович, та Mykola Tymchuk. "Методи та засоби побудови білінгових систем з відмовостійкою архітектурою". Master's thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2020. http://elartu.tntu.edu.ua/handle/lib/33328.

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Кваліфікаційна робота присвячена дослідженню методів та засобів побудови відмовостійкої архітектури для білінгових систем. Проведено порівняльний аналіз існуючих програмних середовищ та технологій для вирішення завдання, як результат обрано Oralce Golden Gate. Наведено особливості встановлення Oralce Golden Gate з конфігурацією вихідної і цільової баз даних. Докладно описані програмні механізми реплікації баз даних, приведено процедуру створення екземпляру бази даних Oracle. Також запропоновано способи усунення проблем та конфліктів, які можуть виникнути при використанні розробки. Проведено попереднє налаштування Active-Active реплікації. Дана робота охоплює ряд важливих аспектів, таких як висока доступність і максимальний захист даних, відмовостійкість, продуктивність, зниження витрат на розгортання, управління і підтримку системи
Thesis deals with the study of methods and means of constractimg a fault-tolerant architecture for billing systems. A comparative analysis of existing software environments and technologies to solve the problem was carried out. As a result, Oralce Golden Gate was selected. Features of installation of Oralce Golden Gate with a configuration of initial and target databases are resulted. The software mechanisms of database replication are described in detail, the procedure for creating an instance of the Oracle database is given. There are also ways to resolve issues and conflicts that may arise when using the development were proposed. Pre-configured Active-Active replication was done. This research work covers a number of important aspects, such as high availability and maximum data protection, fault tolerance, productivity, reduced deployment costs, management and system maintenance.
ЗМІСТ ПЕРЕЛІК УМОВНИХ ПОЗНАЧЕНЬ, СИМВОЛІВ, ОДИНИЦЬ СКОРОЧЕНЬ І ТЕРМІНІВ 6 ВСТУП 9 РОЗДІЛ 1. АНАЛІТИЧНА ЧАСТИНА 12 1.1. Роль білінгу в ІС. 12 1.2. Аналіз основних понять досліджуваної області 16 1.3. Огляд існуючих технологій 20 1.4. Висновки до розділу 23 РОЗДІЛ 2. ТЕОРЕТИЧНА ЧАСТИНА 24 2.1. Характеристика середовища OGG 24 2.1.1. Ключові можливості і технологічні відмінності 25 2.1.2. Використовувані топології 25 2.1.3. Проміжне ПЗ Oracle для BI і ODI 26 2.1.4. Застосування для сховищ даних в режимі РЧ 27 2.1.5. Використання для СУБД Oracle 28 2.1.6. Відмовостійкість 29 2.1.7. Вимоги до системи 30 2.2. Огляд архітектури OGG 30 2.2.1. OGG Capture 32 2.2.2. OGG Trail Files 32 2.2.3. OGG Delivery 33 2.2.4. OGG Manager 34 2.3. Встановлення OGG 35 2.4. Конфігурація вихідної і цільової Oracle БД 37 2.5. Висновки до розділу 38 РОЗДІЛ 3. ПРАКТИЧНА РЕАЛІЗАЦІЯ. 39 3.1. Архітектура БД БС 39 3.2. Захоплення змін та реплікація 40 3.3. Створення OGG екземпляру 47 3.4. Вирішення проблем 51 3.5. Попереднє налаштування Active-Active реплікації 54 3.6. Висновки до розділу 56 РОЗДІЛ 4. ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 57 4.1. Охорона праці 57 4.2. Комп’ютерне забезпечення процесу оцінки радіаційної та хімічної обстановки 60 4.3. Висновки до розділу 62 ВИСНОВКИ 63 СПИСОК ВИКОРИСТАНИХ ДЖЕРЕЛ 65 ДОДАТОК А. Тези конференції
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Feuchte, Beate. "Billig Nähen für den Weltmarkt - Lebens- und Arbeitsbedingungen der Beschäftigten der bangladeschischen Bekleidungsindustrie eine sozialgeographische Studie." Berlin wvb, Wiss. Verl, 2007. http://www.wvberlin.de/data/inhalt/feuchte.html.

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Книги з теми "Billing data"

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Coslick, Merlin B. Setting up your medical billing business. 2nd ed. Scotch Plains, N.J: Electronic Medical Billing Network of America, 2001.

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E, Thiebaud Maud, ed. Telecommunications billing systems: Implementing and upgrading for profitability. New York: McGraw-Hill, 2003.

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3

Theo, Plesser, and Wittenburg Peter, eds. Forschung und wissenschaftliches Rechnen: Beiträge zum Heinz-Billing-Preis 1994. Göttingen: Gesellschaft für Wissenschaftliche Datenverarbeitung, 1995.

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4

Nielsen, Debra M. Medical billing: How to start your own business. [Lakeside, CA: Accuracy Healthcare Billing, 1998.

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Office, General Accounting. Medicare claims: Commercial technology could save billions lost to billing abuse : report to Congressional requesters. Washington, D.C: The Office, 1995.

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6

Press, Entrepreneur, ed. Start your own medical claims billing service. 3rd ed. Irvine, Calif: Entrepreneur Media, 2012.

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Hallenbeck, Mark E. Ferry systems data, scheduling and billing.: Final report, research project Y-3399-11. [Olympia?, Wash.]: Washington State Dept. of Transportation, Planning, Research and Public Transportation Division, in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1987.

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Metcalf, Gilbert E. Measuring the energy savings from home improvement investments: Evidence from monthly billing data. Cambridge, MA: National Bureau of Economic Research, 1997.

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Aroonruengsawat, Anin, and Maximilian Auffhammer. Impacts of climate change on residential electricity consumption: Evidence from billing data : final paper. Sacramento, Calif.]: California Energy Commission, 2009.

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Jacobsen, Grant D. Are building codes effective at saving energy?: Evidence from residential billing data in Florida. Cambridge, MA: National Bureau of Economic Research, 2010.

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Частини книг з теми "Billing data"

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Bethge, Joseph. "Billing Processes in Personalized Medicine." In High-Performance In-Memory Genome Data Analysis, 101–23. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03035-7_5.

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Crandall, R., K. J. Lynagh, T. Mehoke, and N. Pepper. "Automated Classification of Medical-Billing Data." In IFIP Advances in Information and Communication Technology, 389–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23960-1_46.

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Bęben, Łukasz, and Bartłomiej Śnieżyński. "Multiagent System for Pattern Searching in Billing Data." In Communications in Computer and Information Science, 13–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38559-9_2.

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Viloria, Amelec, Jesús García Guiliany, Nataly Orellano Llinás, Hugo Hernandez-P, Ernesto Steffens Sanabria, and Omar Bonerge Pineda Lezama. "Selecting Electrical Billing Attributes: Big Data Preprocessing Improvements." In Lecture Notes in Electrical Engineering, 455–61. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3125-5_44.

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Dhianeswar, R., M. Gowtham, and S. Sumathi. "Smart Trolley with Automatic Master Follower and Billing System." In Lecture Notes on Data Engineering and Communications Technologies, 778–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24643-3_92.

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Huang, Wenhao, Zhengbin Dong, Nan Zhao, Hao Tian, Guojie Song, Guanhua Chen, Yun Jiang, and Kunqing Xie. "Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data." In Advanced Data Mining and Applications, 346–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17316-5_34.

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Kwan, Matthew, William Cartwright, and Colin Arrowsmith. "Tracking Movements with Mobile Phone Billing Data: A Case Study with Publicly-Available Data." In Advances in Location-Based Services, 109–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24198-7_7.

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Huang, Haowei, Tao Jin, and Jianmin Wang. "Extracting Clinical-event-packages from Billing Data for Clinical Pathway Mining." In Smart Health, 19–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59858-1_3.

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Mejía-Lavalle, Manuel, and Eduardo F. Morales. "Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies." In Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 284–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11790853_23.

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Bertl, Markus, Peeter Ross, and Dirk Draheim. "Predicting Psychiatric Diseases Using AutoAI: A Performance Analysis Based on Health Insurance Billing Data." In Lecture Notes in Computer Science, 104–11. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86472-9_9.

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Тези доповідей конференцій з теми "Billing data"

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Xing, Xingxing, Wenhao Huang, Guojie Song, and Kunqing Xie. "Traffic zone division using mobile billing data." In 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2014. http://dx.doi.org/10.1109/fskd.2014.6980919.

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Chrimes, Dillon. "Big data analytics of predicting annual US Medicare billing claims with health services." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020524.

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Kolupov, A. E., S. V. Melnik, and N. I. Smirnov. "Time Synchronization and Metrology Aspects for Data Transmission Billing." In 2018 Systems of Signal Synchronization, Generating and Processing in Telecommunications (SYNCHROINFO). IEEE, 2018. http://dx.doi.org/10.1109/synchroinfo.2018.8457038.

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Fang, Wei, Yali Lin, Juan Yang, and Haoshuang Wang. "A Dynamic Billing Model on Massive Data Analysis Platform." In 2015 IEEE Globecom Workshops (GC Wkshps). IEEE, 2015. http://dx.doi.org/10.1109/glocomw.2015.7414090.

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Chadha, Raghav, Srishti Kakkar, and Garima Aggarwal. "Automated Shopping and Billing System Using Radio-Frequency Identification." In 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, 2019. http://dx.doi.org/10.1109/confluence.2019.8776944.

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Patil, Nikhil V., Rohan S. Kanase, Dnyaneshwar R. Bondar, and P. D. Bamane. "Intelligent energy meter with advanced billing system and electricity theft detection." In 2017 International Conference on Data Management, Analytics and Innovation (ICDMAI). IEEE, 2017. http://dx.doi.org/10.1109/icdmai.2017.8073482.

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Thummar, Harsh B., Jijesh M. Jangid, and Ashish Patel. "E-Billing System using Smart Energy Meter for Domestic Application." In 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2023. http://dx.doi.org/10.1109/idciot56793.2023.10053452.

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Abdullah, Umair, Jamil Ahmad, and Aftab Ahmed. "Analysis of effectiveness of apriori algorithm in medical billing data mining." In 2008 International Conference on Emerging Technologies (ICET). IEEE, 2008. http://dx.doi.org/10.1109/icet.2008.4777523.

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Hong, Yunguo. "Research and Application of Big Data Technology in Mobile Communication Billing." In Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icammce-18.2018.36.

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Hong, Yunguo. "Research and Application of Big Data Technology in Mobile Communication Billing." In 2018 3rd International Conference on Humanities Science, Management and Education Technology (HSMET 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/hsmet-18.2018.161.

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Звіти організацій з теми "Billing data"

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Metcalf, Gilbert, and Kevin Hassett. Measuring the Energy Savings from Home Improvement Investments: Evidence from Monthly Billing Data. Cambridge, MA: National Bureau of Economic Research, June 1997. http://dx.doi.org/10.3386/w6074.

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Jacobsen, Grant, and Matthew Kotchen. Are Building Codes Effective at Saving Energy? Evidence from Residential Billing Data in Florida. Cambridge, MA: National Bureau of Economic Research, July 2010. http://dx.doi.org/10.3386/w16194.

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Kotchen, Matthew. Do Building Energy Codes Have a Lasting Effect on Energy Consumption? New Evidence From Residential Billing Data in Florida. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21398.

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Hirst, E., and D. White. Indoor temperature changes after retrofit: inferences based on electricity billing data for nonparticipants and participants in the BPA Residential Weatherization Program. Office of Scientific and Technical Information (OSTI), July 1985. http://dx.doi.org/10.2172/5621103.

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Leal, Laura, Haaris Mateen, Makoto Nirei, and José Scheinkman. Repricing Avalanches in the Billion-Prices Data. Cambridge, MA: National Bureau of Economic Research, September 2021. http://dx.doi.org/10.3386/w29236.

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Mascagni, Giulia, Roel Dom, and Fabrizio Santoro. The VAT in Practice: Equity, Enforcement and Complexity. Institute of Development Studies (IDS), January 2021. http://dx.doi.org/10.19088/ictd.2021.002.

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Анотація:
The value added tax (VAT) is supposed to be a tax on consumption that achieves greater economic efficiency than alternative indirect taxes. It is also meant to facilitate enforcement through the ‘self-enforcing mechanism’ – based on opposed incentives for buyers and sellers, and because of the paper trail it creates. Being a rather sophisticated tax, however, the VAT is complex to administer and costly to comply with, especially in lower-income countries. This paper takes a closer look at how the VAT system functions in practice in Rwanda. Using a mixed-methods approach, which combines qualitative information from focus group discussions with the analysis of administrative and survey data, we document and explain a number of surprising inconsistencies in the filing behaviour of VAT-remitting firms, which lead to suboptimal usage of electronic billing machines, as well as failure to claim legitimate VAT credits. The consequence of these inconsistencies is twofold. It makes it difficult for the Rwanda Revenue Authority to exploit its VAT data to the fullest, and leads to firms, particularly smaller ones, bearing a higher VAT burden than larger ones. There are several explanations for these inconsistencies. They appear to lie in a combination of taxpayer confusion, fear of audit, and constraints in administrative capacity.
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Castillo Parrilla, José Antonio. The Legal Regulation of Digital Wealth: Commerce, Ownership and Inheritance of Data. Universitätsbibliothek J. C. Senckenberg, Frankfurt am Main, 2021. http://dx.doi.org/10.21248/gups.64581.

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Digital wealth and its necessary regulation have gained prominence in recent years. The European Commission has published several documents and policy proposals relating, directly or indirectly, to the data economy. A data economy can be defined as an ecosystem of different types of market players collaborating to ensure that data is accessible and usable in order to extract value from data through, for example, creating a variety of applications with great potential to improve daily life. The value of data can increase from EUR 257 billion (1.85 of EU Gross Domestic Product (GDP)) to EUR 643 billion by 2020 (3.17% of EU GDP), according to the EU Commission. The legal implications of the increasing value of the data economy are clear; hence the need to address the challenges presented by its legal regulation.
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Kim, Jinwon, and Jucheol Moon. Congestion Costs and Scheduling Preferences of Car Commuters in California: Estimates Using Big Data. Mineta Transportation Institute, March 2022. http://dx.doi.org/10.31979/mti.2022.2031.

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On average, California car commuters waste 4–5 minutes per morning commute due to congestion. Multiplied across all California car commuters, those few minutes entail a yearly total of approximately 2.3 billion hours of time wasted, costing 6 billion dollars. The objective of this study is to quantify congestion costs and determine how commuters adapt to the level of congestion they face (i.e., commuters’ scheduling utility functions). To that end, this research developed a model of trip scheduling under congestion to construct California commuters’ travel-time profiles, i.e., the menu of travel times that each individual would likely face according to alternate trip timing choices. The results show that commuters facing higher levels of congestion tend to avoid delays by arriving at an inconvenient edge time rather than commuting during the peak. Further, commuters are willing to accept about 0.5 additional minutes of schedule delay to reduce travel time by 1 minute. We found that for most commuters in our data, the travel time profile is much flatter than the estimated schedule utility, which implies that commuters tend to arrive around their own ideal arrival times, although the estimated utility function exhibits a moderate schedule inflexibility. This finding ultimately calls into question the existing bottleneck model’s quantification of the economic cost of congestion as well as the optimal toll to ameliorate congestion.
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Thomas, Catherine, and Lynne Koontz. 2020 national park visitor spending effects: Economic contributions to local communities, states, and the nation. National Park Service, May 2021. http://dx.doi.org/10.36967/nrr-2286547.

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The National Park Service (NPS) manages the Nation’s most iconic destinations that attract millions of visitors from across the Nation and around the world. Trip-related spending by NPS visitors generates and supports economic activity within park gateway communities. This report summarizes the annual economic contribution analysis that measures how NPS visitor spending cycles through local economies, generating business sales and supporting jobs and income. In 2020, the National Park System received over 237 million recreation visits (down 28% from 2019). Visitors to national parks spent an estimated $14.5 billion in local gateway regions (down 31% from 2019). The estimated contribution of this spending to the national economy was 234,000 jobs, $9.7 billion in labor income, $16.7 billion in value added, and $28.6 billion in economic output. The lodging sector saw the highest direct effects, with $5 billion in economic output directly contributed to this sector nationally. The restaurants sector saw the next greatest effects, with $3 billion in economic output directly contributed to this sector nationally. Results from the Visitor Spending Effects report series are available online via an interactive tool. Users can view year-by-year trend data and explore current year visitor spending, jobs, labor income, value added, and economic output effects by sector for national, state, and local economies. The interactive tool is available at https://www.nps.gov/subjects/socialscience/vse.htm.
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Tian, Nan, Aude Fleurant, Alexandra Kuimova, Pieter Wezeman, and Siemon Wezeman. Trends in World Military Expenditure, 2018. Stockholm International Peace Research Institute, April 2019. http://dx.doi.org/10.55163/ufdk7864.

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Анотація:
World military expenditure is estimated to have been $1822 billion in 2018. It was 2.6 per cent higher in real terms than in 2017 and 5.4 per cent higher than in 2009. Global military spending has been gradually rising following a post-2009 low in 2014. It is now 76 per cent higher than the post-cold war low in 1998. This Fact Sheet presents regional and selected national military expenditure data for 2018 and trends over the decade 2009–18. The data is from the updated SIPRI Military Expenditure Database, which provides military expenditure data by country for the years 1949–2018.
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