Статті в журналах: "Billing data"

1

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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5

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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11

Mendenhall, Stanley. "The Use of Billing Data in Quality Assurance." QRB - Quality Review Bulletin 13, no. 1 (January 1987): 31–33. http://dx.doi.org/10.1016/s0097-5990(16)30102-6.

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Mendenhall, S. "USING BILLING DATA TO IMPROVE HOSPITAL DRUG USE." International Journal for Quality in Health Care 3, no. 4 (December 1, 1991): 267–75. http://dx.doi.org/10.1093/intqhc/3.4.267.

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13

Faux, Margaret, Jonathan Wardle, Angelica G. Thompson-Butel, and Jon Adams. "Who teaches medical billing? A national cross-sectional survey of Australian medical education stakeholders." BMJ Open 8, no. 7 (July 2018): e020712. http://dx.doi.org/10.1136/bmjopen-2017-020712.

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ImportanceBilling errors and healthcare fraud have been described by the WHO as ‘the last great unreduced health-care cost’. Estimates suggest that 7% of global health expenditure (US$487 billion) is wasted from this phenomenon. Irrespective of different payment models, challenges exist at the interface of medical billing and medical practice across the globe. Medical billing education has been cited as an effective preventative strategy, with targeted education saving $A250 million in Australia in 1 year from an estimated $A1–3 billion of waste.ObjectiveThis study attempts to systematically map all avenues of medical practitioner education on medical billing in Australia and explores the perceptions of medical education stakeholders on this topic.DesignNational cross-sectional survey between April 2014 and June 2015. No patient or public involvement. Data analysis—descriptive statistics via frequency distributions.ParticipantsAll stakeholders who educate medical practitioners regarding clinical practice (n=66). 86% responded.ResultsThere is little medical billing education occurring in Australia. The majority of stakeholders (70%, n=40) did not offer/have never offered a medical billing course. 89% thought medical billing should be taught, including 30% (n=17) who were already teaching it. There was no consensus on when medical billing education should occur.ConclusionsTo our knowledge, this is the first attempt of any country to map the ways doctors learn the complex legal and administrative infrastructure in which they work. Consistent with US findings, Australian doctors may not have expected legal and administrative literacy. Rather than reliance on ad hoc training, development of an Australian medical billing curriculum should be encouraged to improve compliance, expedite judicial processes and reduce waste. In the absence of adequate education, disciplinary bodies in all countries must consider pleas of ignorance by doctors under investigation, where appropriate, for incorrect medical billing.

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Stamenova, Vess, Cherry Chu, Andrea Pang, Mina Tadrous, R. Sacha Bhatia, and Peter Cram. "Using Administrative Data to Explore Potentially Aberrant Provision of Virtual Care During COVID-19: Retrospective Cohort Study of Ontario Provincial Data." Journal of Medical Internet Research 23, no. 9 (September 7, 2021): e29396. http://dx.doi.org/10.2196/29396.

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Background The COVID-19 pandemic has led to a rapid increase in virtual care use across the globe. Many health care systems have responded by creating virtual care billing codes that allow physicians to see their patients over telephone or video. This rapid liberalization of billing requirements, both in Canada and other countries, has led to concerns about potential abuse, but empirical data are limited. Objective The objectives of this study were to examine whether there were substantial changes in physicians’ ambulatory visit volumes coinciding with the liberalization of virtual care billing rules and to describe the characteristics of physicians who significantly increased their ambulatory visit volumes during this period. We also sought to describe the relationship between visit volume changes in 2020 and the volumes of virtual care use among individual physicians and across specialties. Methods We conducted a population-based, retrospective cohort study using health administrative data from the Ontario Health Insurance Plan, which was linked to the ICES Physician Database. We identified a unique cohort of providers based on physicians’ billings and calculated the ratio of total in-person and virtual ambulatory visits over the period from January to June 2020 (virtual predominating) relative to that over the period from January to June 2019 (in-person predominating) for each physician. Based on these ratios, we then stratified physicians into four groups: low-, same-, high-, and very high–use physicians. We then calculated various demographic and practice characteristics of physicians in each group. Results Among 28,383 eligible physicians in 2020, the mean ratio of ambulatory visits in January to June 2020:2019 was 0.99 (SD 2.53; median 0.81, IQR 0.59-1.0). Out of 28,383 physicians, only 2672 (9.4%) fell into the high-use group and only 291 (1.0%) fell into the very high–use group. High-use physicians were younger, more recent graduates, more likely female, and less likely to be international graduates. They also had, on average, lower-volume practices. There was a significant positive correlation between percent virtual care and the 2020:2019 ratio only in the group of physicians who maintained their practice (R=0.35, P<.001). There was also a significant positive correlation between the 2020:2019 ratio and the percent virtual care per specialty (R=0.59, P<.01). Conclusions During the early stages of the pandemic, the introduction of virtual care did not lead to significant increases in visit volume. Our results provide reassuring evidence that relaxation of billing requirements early in the COVID-19 pandemic in Ontario were not associated with widespread and aberrant billing behaviors. Furthermore, the strong relationship between the ability to maintain practice volumes and the use of virtual care suggests that the introduction of virtual care allowed for continued access to care for patients.

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Saputra, Zulhipni reno, Toni Ismail, Hendri Maulana M, and Hendra Pratama M. "PERANCANGAN SISTEM BILLING PLAYSTATION BERBASIS ARDUINO-BASED PLAYSTATION BILLING SYSTEM DESIGN." Jusikom : Jurnal Sistem Komputer Musirawas 4, no. 02 (November 27, 2019): 59–64. http://dx.doi.org/10.32767/jusikom.v4i2.573.

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Penelitian ini bertujuan untuk merancang sistem billing playstation sehingga para pelaku usaha kecil menengah dapat berperan dalam pengembangan industry 4.0. Billing playstation ini dikembangakan dengan menggunakan modul arduino yang harus deprogram terlebih dahulu, serta dikendalikan dengan menggunakan aplikasi billing playstation yang dibuat menggunakan Delphi XE8. Pada billing ini semua data disimpan dalam database mysql, sehingga dapat lebih mudah owner untuk melihat jumlah konsumen serta lamanya konsumen melakukan rental. Modul billing ini hanya memuat 8 port playstation sehingga tidak dapat ditambah lagi

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16

Fung, Benjamin. "Detecting Fraudulent Billing Frauds Under The Shell Company Schemes: From the Perspective of Hong Kong Auditors." Sumerianz Journal of Economics and Finance, no. 51 (February 17, 2022): 20–30. http://dx.doi.org/10.47752/sjef.51.20.30.

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Asset misappropriation, which occurred in the vast majority of fraud schemes, involved stealing or misusing the company’s assets and resources by perpetrators through false invoicing and shell company schemes. False invoicing occurred when a perpetrator created a fictitious vendor for purchasing goods for the employer, used false invoices to make a claim for payment and diverted the fund to its own account. The main purpose of this study is to detect fraudulent billing frauds under the shell company schemes which pose significant risk to the organizations. Shell company operations mainly involve 1) a perpetrator created a shell company, which was only a fictitious name with P.O. Box address, added it to the current vendor master file to facilitate the company’s purchases and also used it to receive payment from false billings; and 2) the shell company was also used as an intermediary to assist the pass-through scheme wherein a legitimate vendor sold goods to this shell company which in turn resold goods to the victim organization with a certain percentage markup on price. Shell company and billing schemes did not receive much attention in prior audit literature and audit practices. This study aimed to investigate the level of effectiveness of red flags in detecting the fraudulent billing schemes from the perspective of auditors (inclusive both external and internal auditors) in Hong Kong and also to explore the effectiveness of fraud data analytics in detecting the billing schemes under the shell companies. For the assessment and perception of red flags for fraud detection, the study extracted a total of 15 red flags from Kassem’s framework and used questionnaire survey to examine the auditors’ responses to red flags in detecting fraudulent billings and release the resultant ranking. Sem-structured interviews were used to obtain data about the effective use of data analytics by auditors to detect fraudulent billings under the shells.

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Herr, Daniel L., Gilles Clermont, and Derek C. Angus. "GENERATING TISS-28 SCORES DIRECTLY FROM HOSPITAL BILLING DATA." Critical Care Medicine 26, Supplement (January 1998): 66A. http://dx.doi.org/10.1097/00003246-199801001-00155.

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Schwartz, Kevin L., Karen Tu, Laura Wing, Michael A. Campitelli, Natasha S. Crowcroft, Shelley L. Deeks, Sarah E. Wilson, Kumanan Wilson, Ian Gemmill, and Jeffrey C. Kwong. "Validation of infant immunization billing codes in administrative data." Human Vaccines & Immunotherapeutics 11, no. 7 (June 15, 2015): 1840–47. http://dx.doi.org/10.1080/21645515.2015.1043499.

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19

Zonghao, Rao, Yang Dongyuan, and Duan Zhengyu. "Resident Mobility Analysis Based on Mobile-phone Billing Data." Procedia - Social and Behavioral Sciences 96 (November 2013): 2032–41. http://dx.doi.org/10.1016/j.sbspro.2013.08.229.

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Segal, Jodi B., Paul M. Ness, and Neil R. Powe. "Validating billing data for RBC transfusions: a brief report." Transfusion 41, no. 4 (April 2001): 530–33. http://dx.doi.org/10.1046/j.1537-2995.2001.41040530.x.

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Denck, Jonas, Wilfried Landschütz, Knud Nairz, Johannes T. Heverhagen, Andreas Maier, and Eva Rothgang. "Automated Billing Code Retrieval from MRI Scanner Log Data." Journal of Digital Imaging 32, no. 6 (June 25, 2019): 1103–11. http://dx.doi.org/10.1007/s10278-019-00241-z.

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Rahayu, Basuki Sri, Yofie Septian P, and Boy Agus Susanto. "PERAN E-BILLING, E FAKTOR, PELAYANAN FISKUS, KEMAMPUAN BERINTERNET TERHADAP UPAYA PENINGKATAN KEPATUHAN WAJIB PAJAK SEKTOR USAHA KECIL MENENGAH (UKM) WILAYAH KOTA SURAKARTA." EXCELLENT 5, no. 2 (December 10, 2018): 263–73. http://dx.doi.org/10.36587/exc.v5i2.476.

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Penelitian ini bertujuan untuk menganalisis peran E-Billing, E Faktor, Pelayanan Fiskus, Kemampuan Berinternet terhadap upaya Peningkatan kepatuhan Wajib Pajak sektor usaha kecil menengah wilayah Kota Surakarta. Pengumpulan data dengan menggunakan metode survey, dan analisis data digunakan uji t dan uji analisis jalur. Hasil uji t sebagai berikut: e-Billing berpengaruh secara positif dan signifikan terhadap kesadaran, e-Faktur berpengaruh secara negatif dan signifikan terhadap kesadaran, pelayanan fiskus berpengaruh secara positif dan signifikan terhadap kesadaran, kemampuan berinternet berpengaruh secara positif namun tidak signifikan terhadap kesadaran. e-Billing berpengaruh secara negatif namun tidak signifikan terhadap kepuasan, e-Faktur berpengaruh secara positif namun tidak signifikan terhadap kepuasan, pelayanan fiskus berpengaruh secara positif dan signifikan terhadap kepuasan, kemampuan berinternet berpengaruh secara positif dan signifikan terhadap kepuasan. Sedangkan kesadaran berpengaruh positif dan signifikan terhadap kepatuhan, kepuasan berpengaruh negatif dan signifikan terhadap kepatuhan wajib pajak sektor usaha kecil menengah wilayah kota Surakarta. Hasil uji analisis jalur menunjukkan bahwa pelayanan fiskus sebagai variabel independen paling dominan untuk meningkatkan kepatuhan wajib pajak, jalur yang efektif melalui jalur variabel kesadaran wajib pajak. Kemampuan berinternet berpengaruh positif meningkatkan kepatuhan wajib pajak secara langsung, sementara e-Billing perlu melalui variabel kesadaran wajib pajak untuk dapat meningkatkan kepatuhan wajib pajak.Kata kunci:e-billinge-faktur, pelayanan fiskus, kemampuan berinternet, kesadara wajib pajak

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Tu, K., T. Mitiku, H. Guo, D. S. Lee, and J. V. Tu. "Myocardial infarction and the validation of physician billing and hospitalization data using electronic medical records." Chronic Diseases and Injuries in Canada 30, no. 4 (September 2010): 141–46. http://dx.doi.org/10.24095/hpcdp.30.4.06.

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Objective Population-based identification of patients with a myocardial infarction is limited to patients presenting to hospital with an acute event. We set out to determine if adding physician billing data to hospital discharge data would result in an accurate capture of patients who have had a myocardial infarction. Methods We performed a retrospective chart abstraction of 969 randomly selected adult patients using data abstracted from primary care physicians on an electronic medical record in Ontario, Canada, as the reference standard. Results An algorithm of 3 physician billings in a one-year period with at least one being by a specialist or within a hospital or emergency room plus one hospital discharge abstract performed with a sensitivity of 80.4% (95% CI: 69.5-91.3), specificity of 98.0% (95% CI: 97.1-98.9), positive predictive value of 69.5% (95% CI: 57.7-81.2), negative predictive value of 98.9% (95% CI: 98.2% to 99.6%) and kappa statistic of 0.73 (95% CI: 0.63-0.83). Conclusion Using a combination of hospital discharge abstracts and physician billing data may be the best way of assessing trends of MI occurrence over time since it increases the capture of MI beyond those patients who have been hospitalized.

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Taneja, Charu, Ariel Berger, Gary W. Inglese, Lois Lamerato, James A. Sloand, Greg G. Wolff, Michael Sheehan, and Gerry Oster. "Can Dialysis Patients be Accurately Identified using Healthcare Claims Data?" Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis 34, no. 6 (September 2014): 643–51. http://dx.doi.org/10.3747/pdi.2012.00328.

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Background While health insurance claims data are often used to estimate the costs of renal replacement therapy in patients with end-stage renal disease (ESRD), the accuracy of methods used to identify patients receiving dialysis — especially peritoneal dialysis (PD) and hemodialysis (HD) — in these data is unknown. Methods The study population consisted of all persons aged 18 – 63 years in a large US integrated health plan with ESRD and dialysis-related billing codes (i.e., diagnosis, procedures) on healthcare encounters between January 1, 2005, and December 31, 2008. Using billing codes for all healthcare encounters within 30 days of each patient's first dialysis-related claim (“index encounter”), we attempted to designate each study subject as either a “PD patient” or “HD patient.” Using alternative windows of ± 30 days, ± 90 days, and ± 180 days around the index encounter, we reviewed patients’ medical records to determine the dialysis modality actually received. We calculated the positive predictive value (PPV) for each dialysis-related billing code, using information in patients’ medical records as the “gold standard.” Results We identified a total of 233 patients with evidence of ESRD and receipt of dialysis in healthcare claims data. Based on examination of billing codes, 43 and 173 study subjects were designated PD patients and HD patients, respectively (14 patients had evidence of PD and HD, and modality could not be ascertained for 31 patients). The PPV of codes used to identify PD patients was low based on a ± 30-day medical record review window (34.9%), and increased with use of ± 90-day and ± 180-day windows (both 67.4%). The PPV for codes used to identify HD patients was uniformly high — 86.7% based on ± 30-day review, 90.8% based on ± 90-day review, and 93.1% based on ± 180-day review. Conclusions While HD patients could be accurately identified using billing codes in healthcare claims data, case identification was much more problematic for patients receiving PD.

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Atzema, Clare L., Ian G. Stiell, Alice S. Chong, and Peter C. Austin. "Validating emergency department cardioversion procedures in provincial administrative data in Ontario, Canada." PLOS ONE 17, no. 12 (December 1, 2022): e0277598. http://dx.doi.org/10.1371/journal.pone.0277598.

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Background Cardioversion of acute-onset atrial fibrillation (AF) via electrical or pharmacological means is a common procedure performed in many emergency departments. While these procedures appear to be very safe, the rarity of subsequent adverse outcomes such as stroke would require huge sample sizes to confirm that conclusion. Big data can supply such sample sizes. Objective We aimed to validate several potential codes for successful emergency department cardioversion of AF patients. Methods This study combined 3 observational datasets of emergency department AF visits seen at one of 26 hospitals in Ontario, Canada, between 2008 and 2012. We linked patients who were eligible for emergency department cardioversion to several province-wide health administrative datasets to search for the associated cardioversion billing and procedural codes. Using the observational data as the gold standard for successful cardioversion, we calculated the test characteristics of a billing code (Z437) and of procedural codes 1.HZ.09JAFS and 1.HZ.09JAJS. Both include pharmacological and electrical cardioversions, as well as unsuccessful attempts; the latter is <10% using electricity (in Canada, standard practice is to proceed to electrical cardioversion if pharmacological cardioversion is unsuccessful). Results Of 4557 unique patients in the three datasets, 2055 (45.1%) were eligible for cardioversion. Nine hundred thirty-three (45.4%) of these were successfully cardioverted to normal sinus rhythm. The billing code had slightly better test characteristics overall than the procedural codes. Positive predictive value (PPV) of a billing was 89.8% (95% CI, 87.0–92.2), negative predictive value (NPV) 70.5% (95% CI, 68.1–72.8), sensitivity 52.1% (95% CI, 48.8–55.3), and specificity 95.1% (95% CI, 93.7–96.3). Conclusions AF patients who have been successfully cardioverted in an emergency department can be identified with high PPV and specificity using a billing code. Studies that require high sensitivity for cardioversion should consider other methods to identify cardioverted patients.

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Akbar, Bobi. "Internet Cafe Billing System Data Security Using RC4 Stream Cipher." Instal : Jurnal Komputer 12, no. 02 (October 26, 2021): 46–53. http://dx.doi.org/10.54209/jurnalkomputer.v12i02.24.

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In data communication, against a data security method known as cryptography (Cryptography). Cryptography is a data security method that can be used to maintain data confidentiality, data authenticity or integrity, and the authenticity of the sender. This method is intended so that important information of a limited or confidential nature sent through public telecommunications facilities cannot be known or utilized by unauthorized parties. In this case, data security is also needed at the internet cafe (internet cafe). Warnet which is a place that provides Interconnection Networking that connects computers to form a network system that covers the whole world (global). Each cafe requires a billing system that is used to determine the state of the user in using the facilities at the cafe, starting from how long it takes to use and how much it costs each user. For this reason, so that the data on the billing system cannot be manipulated or modified by unauthorized persons, it is necessary to secure data. The data security method that will be used is cryptography, especially by using the RC4 stream cipher.

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Boyle, Christine E., Shadi Eskaf, Mary Wyatt Tiger, and Jeffrey A. Hughes. "Mining water billing data to inform policy and communication strategies." Journal - American Water Works Association 103, no. 11 (November 2011): 45–58. http://dx.doi.org/10.1002/j.1551-8833.2011.tb11565.x.

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Hirst, Eric, Richard Goeltz, and Dennis White. "Determination of household energy using ‘fingerprints’ from energy billing data." International Journal of Energy Research 10, no. 4 (October 1986): 393–405. http://dx.doi.org/10.1002/er.4440100410.

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Chiao, Jonathan, Jayme R. Dowdall, and Samuel K. Pate. "Resource Utilization and Billing in a Resident-Managed Inpatient Consult Service." Otolaryngology–Head and Neck Surgery 163, no. 2 (May 19, 2020): 244–49. http://dx.doi.org/10.1177/0194599820923620.

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Objective Patient care delivered by residents is an educational opportunity to foster autonomy. These services, however, may not be billed without direct faculty supervision. This quality improvement project analyzes descriptive data, procedures, and billing from an academic otolaryngology–head and neck surgery department’s inpatient consult service. Methods This prospective cohort study collected descriptive and billing data on all consults over 30 consecutive days. Data collected described bedside procedures and operative interventions. Encounters were Current Procedural Terminology coded and equivalent work relative value unit (wRVU) calculated. Codes submitted for billing were reviewed to identify opportunities for inpatient billing improvement. Results Ninety-eight new consults were included, and 105 bedside procedures were performed. Flexible laryngoscopy (n = 27), I&D (incision and drainage; n = 11), and suturing (n = 11) were the most performed bedside procedures. Operative intervention was required in 15 encounters. The inpatient consult team provided the equivalent of 391.39 wRVU. Seventy-three percent of operative compared to 3% of bedside procedures were submitted for billing. Discussion The productivity of our team approximated 61.8% of a full-time general otolaryngologist but with decreased billing submissions. Balance between resident autonomy, education, quality patient care, and the ability to capture service revenue is complex. Strategies other institutions have used to capture missed billing opportunities have included a hospitalist model, mid-level providers, and resident billing. Implications for Practice This study characterizes an academic inpatient consult service. Results describe a case for improving the structure of the inpatient consult service, caution that studies collecting data via department billing may underrepresent services, and suggest alternative service structures to overcome identified billing limitations.

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Rock, Peter J., Dana Quesinberry, Michael D. Singleton, and Svetla Slavova. "Emergency Medical Services and Syndromic Surveillance: A Comparison With Traditional Surveillance and Effects on Timeliness." Public Health Reports 136, no. 1_suppl (November 2021): 72S—79S. http://dx.doi.org/10.1177/00333549211018673.

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Objective Traditional public health surveillance of nonfatal opioid overdose relies on emergency department (ED) billing data, which can be delayed substantially. We compared the timeliness of 2 new data sources for rapid drug overdose surveillance—emergency medical services (EMS) and syndromic surveillance—with ED billing data. Methods We used data on nonfatal opioid overdoses in Kentucky captured in EMS, syndromic surveillance, and ED billing systems during 2018-2019. We evaluated the time-series relationships between EMS and ED billing data and syndromic surveillance and ED billing data by calculating cross-correlation functions, controlling for influences of autocorrelations. A case example demonstrates the usefulness of EMS and syndromic surveillance data to monitor rapid changes in opioid overdose encounters in Kentucky during the COVID-19 epidemic. Results EMS and syndromic surveillance data showed moderate-to-strong correlation with ED billing data on a lag of 0 ( r = 0.694; 95% CI, 0.579-0.782; t = 9.73; df = 101; P < .001; and r = 0.656; 95% CI, 0.530-0.754; t = 8.73; df = 101; P < .001; respectively) at the week-aggregated level. After the COVID-19 emergency declaration, EMS and syndromic surveillance time series had steep increases in April and May 2020, followed by declines from June through September 2020. The ED billing data were available for analysis 3 months after the end of a calendar quarter but closely followed the trends identified by the EMS and syndromic surveillance data. Conclusion Data from EMS and syndromic surveillance systems can be reliably used to monitor nonfatal opioid overdose trends in Kentucky in near–real time to inform timely public health response.

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Rahmalina, Rahmalina, Dewangga Nikmatullah, and Serly Silviyanti. "Respon Petani Padi Terhadap Program Billing System Pupuk Bersubsidi di Kecamatan Candipuro Kabupaten Lampung Selatan." Suluh Pembangunan : Journal of Extension and Development 2, no. 1 (June 29, 2020): 36–44. http://dx.doi.org/10.23960/jsp.vol2.no1.2020.29.

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Salah satu program pemerintah untuk meminimalisir distribusi pupuk bersubsidi yang tidak tepat waktu dan tidak tepat sasaran program billing system. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan respon petani padi pada program billing system. Penelitian dilakukan di Kecamatan Candipuro, Kabupaten Lampung Selatan. Pengambilan sampel menggunakan teknik purposive sampling, yaitu petani peserta program billing system yang berjumlah 93 orang. Jenis data yang digunakan dalam penelitian ini adalah data primer dan sekunder. Waktu pengambilan data penelitian dilaksanakan pada bulan Oktober 2019. Pengujian hipotesis dilakukan dengan menggunakan analisis peringkat korelasi rank Spearman. Hasil penelitian menunjukkan bahwa respon petani terhadap program billing system dilihat dari manfaat, pelaksanaan dan aksesibilitas program masuk dalam kategori baik. Faktor-faktor yang berhubungan secara signifikan dengan respon petani terhadap program billing system adalah tingkat pengetahuan, tingkat pemenuhan syarat program, dukungan pemerintah dan kepemilikan modal petani untuk menebus pupuk subsidi.

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Faisol, Moh. "EMPAT TAHUN E-BILLING: EFEKTIFKAH? (STUDI KASUS DI KPP PRATAMA PAMEKASAN)." Wacana Equiliberium (Jurnal Pemikiran Penelitian Ekonomi) 7, no. 01 (July 1, 2019): 34–42. http://dx.doi.org/10.31102/equilibrium.7.01.34-42.

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The aims of this reseach to understand the effectiveness of the application of e-billing systems at Pamekasan Primary Tax Office. The research data was obtained from the documentation and interviews with one key informant and three supporting informants. The data analysis technique uses qualitative methods; reduction, presentation, verification, and conclusion as well as testing the validity of the data by using source triangulation and methods. The results of this study are the application of system e-billing, beginning with socialization by the DJP to taxpayers. The effectiveness of using e-billing is felt more comfortable and faster by taxpayers in paying taxes and can minimize data entry errors by perception bank officers. The obstacles faced by DJP in terms of the implementation of e-billing are that there are still many taxpayers who have not used e-billing because they are having difficulties when faced with technology, and consider SSP more accessible.

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Syamsi, Nur, Arifuddin Arifuddin, Fajar Saranani, Nasrullah Dali, and Gamsir Gamsir. "FAKTOR FAKTOR EFEKTIFITAS SISTEM PEMBAYARAN PAJAK MELALUI SISTEM E-BILLING PADA DINAS SUMBER DAYA AIR DAN BINA MARGA PROVINSI SULAWESI TENGGARA." Jurnal Progres Ekonomi Pembangunan (JPEP) 7, no. 2 (August 30, 2022): 224. http://dx.doi.org/10.33772/jpep.v7i2.26685.

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Penelitian ini untuk menganalisis tingkat efektifitas e-billing sistem dan faktor-faktor yang memperkuat atau melemahkan peran sisitem pembayaran pajak. Jenis data dalam penelitian ini adalah data primer dan data sekunder yang diperoleh dari Dinas Sumber Daya Air dan Bina Marga Provinsi Sulawesi Tenggara yaitu data belanja modal tahun 2016-2020.Analisis yang digunakan statistic deskriptif dan teknik word cloud.Hasil penelitian menunjukan bahwa karakter kemudahan proses layanan 54% dan karakter kemudahan akses 77% berpengaruh sangat efektif sedangkan adalah karakteristik operasional sistem 57%,karakteristik proses yang cepat 47%, dan karakteristik kemutakhiran sistem 58% berpengaruh cukup efektif.Adanya unsur keamanan, akurat, canggih, proses cepat, dan efektif dalam pemanfaatan sistem e-billing menjadi faktor-faktor dominan yang mendukung penguatan peran sisitem e-billing. Sedangkan aspek tanpa rekaman riwayat transaksi, operasional yang rumit, rentan terinveksi virus, keamanan jaringan, dan sering error menjadi faktor-faktor dominan yang melemahkan peran sistem e-billing dalam meningkatkan minat wajib pajak dalam bertransaksi. Kata Kunci: Sistem e-billing, Efektivitas Kepatuhan, Efektivitas Transaksi

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Krajenta, R., L. Lamerato, and K. Wells. "PS2-56: Building the Virtual Data Warehouse Using Data from a Healthcare Billing System." Clinical Medicine & Research 10, no. 3 (August 1, 2012): 197. http://dx.doi.org/10.3121/cmr.2012.1100.ps2-56.

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Sloane, P. D. "Syndromic Surveillance for Emerging Infections in Office Practice Using Billing Data." Annals of Family Medicine 4, no. 4 (July 1, 2006): 351–58. http://dx.doi.org/10.1370/afm.547.

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Boyer, Mackenzie J., Michael D. Dukes, Linda J. Young, and Chuan Wang. "Mining for Water: Using Billing Data to Characterize Residential Irrigation Demand." Journal - American Water Works Association 108 (November 1, 2016): E585—E597. http://dx.doi.org/10.5942/jawwa.2016.108.0153.

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Boyer, Mackenzie J., Michael D. Dukes, Linda J. Young, and Shu Wang. "Irrigation Conservation of Florida-Friendly Landscaping Based on Water Billing Data." Journal of Irrigation and Drainage Engineering 140, no. 12 (December 2014): 04014037. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000774.

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Neff, John M., Virginia L. Sharp, Jean Popalisky, and Tracy Fitzgibbon. "Using Medical Billing Data to Evaluate Chronically Ill Children Over Time." Journal of Ambulatory Care Management 29, no. 4 (October 2006): 283–90. http://dx.doi.org/10.1097/00004479-200610000-00004.

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Fidalgo, José Nuno, Manuel António Matos, and Luís Ribeiro. "A new clustering algorithm for load profiling based on billing data." Electric Power Systems Research 82, no. 1 (January 2012): 27–33. http://dx.doi.org/10.1016/j.epsr.2011.08.016.

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Weiss, Harold B., Susan M. Dill, Herbert G. Garrison, and Jeffrey H. Coben. "The Potential of Using Billing Data for Emergency Department Injury Surveillance." Academic Emergency Medicine 4, no. 4 (April 1997): 282–87. http://dx.doi.org/10.1111/j.1553-2712.1997.tb03549.x.

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Francis, Joseph K. "Common patterns of corporate dermatology billing abuses in Medicare data sets." Clinics in Dermatology 38, no. 3 (May 2020): 284–88. http://dx.doi.org/10.1016/j.clindermatol.2020.02.009.

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Strom, Brian L., and Jeffrey L. Carson. "Medicaid Billing Data Used to Study the Effects of Marketed Drugs." Drug Information Journal 24, no. 3 (July 1990): 477–83. http://dx.doi.org/10.1177/009286159002400305.

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Braeken, An, Pardeep Kumar, and Andrew Martin. "Efficient and Privacy-Preserving Data Aggregation and Dynamic Billing in Smart Grid Metering Networks." Energies 11, no. 8 (August 10, 2018): 2085. http://dx.doi.org/10.3390/en11082085.

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The smart grid enables convenient data collection between smart meters and operation centers via data concentrators. However, it presents security and privacy issues for the customer. For instance, a malicious data concentrator cannot only use consumption data for malicious purposes but also can reveal life patterns of the customers. Recently, several methods in different groups (e.g., secure data aggregation, etc.) have been proposed to collect the consumption usage in a privacy-preserving manner. Nevertheless, most of the schemes either introduce computational complexities in data aggregation or fail to support privacy-preserving billing against the internal adversaries (e.g., malicious data concentrators). In this paper, we propose an efficient and privacy-preserving data aggregation scheme that supports dynamic billing and provides security against internal adversaries in the smart grid. The proposed scheme actively includes the customer in the registration process, leading to end-to-end secure data aggregation, together with accurate and dynamic billing offering privacy protection. Compared with the related work, the scheme provides a balanced trade-off between security and efficacy (i.e., low communication and computation overhead while providing robust security).

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López, Lorena Herrera. "A Closer Look at Direct Carrier Billing." International Journal of Online Marketing 10, no. 4 (October 2020): 18–40. http://dx.doi.org/10.4018/ijom.2020100102.

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The impulse to digitalization by telecom operators requires the commercialization of over-the-top services (OTT) based on the fine understanding and prediction of customer behaviour through pattern recognition involving big data, resulting in an essential part of web analytics and digital marketing. The objective of this research is to analyse factors influencing the purchase and use of a mobile game commercialized by a mobile network operator (MNO), through different digital marketing channels and using direct carrier billing (DCB) as payment channel. The novelty contribution of this study is twofold. Firstly, it assesses determinants related to the purchase and use of a mobile service through the analysis of variables identified in the scientific literature's review. In addition, it also incorporates a set of variables based on data retrieved from big data analytics. Secondly, this research analyses the willingness of consumers to pay through DCB.

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Ningrum, Rizka Amelia, Lince Bulutoding, and Suhartono Suhartono. "Praktik Sistem E-Filling, E-Billing dan E-Faktur Terhadap Taxpayer Compliance Dengan Taxation Knowledge Sebagai Variabel Moderating (Studi Pada KPP Madya Makassar)." ISAFIR: Islamic Accounting and Finance Review 1, no. 1 (December 31, 2020): 1–11. http://dx.doi.org/10.24252/isafir.v1i1.17624.

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Penelitian ini bertujuan untuk menguji pengaruh E-Filling E-Billing dan E-Faktur terhadap Taxpayer Compliance dengan Taxation Knowledge sebagai variabel Moderating. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan Survei. Populasi dalam penelitian ini adalah Wajib Pajak KPP Madya Makassar. Teknik pengambilan sampel menggunakan metode purposive sampling.Data yang digunakan dalam penelitian merupakan data primer yang dikumpulkan melalui survei kuesioner secara langsung. Analisis data menggunakan analisis regresi linear berganda dan analisis regresi moderating dengan Moderated Regression Analysis (MRA) Analisis regresi linear berganda untuk hipotesis e-filling, e-billing dan e-faktur. Analisis regresi linear berganda dengan uji Moderated Regression Analysis (MRA) untuk hipotesis e-filling, e-billing, e-faktur yang dimoderasi oleh taxation knowledge.Hasil penelitian dengan analisis regresi linear berganda menunjukkan bahwa e-filling, e-billing dan e-faktur berpengaruh positif terhadap taxpayer compliance. Analisis variabel moderating dengan pendekatan Moderated Regression Analysis (MRA) menunjukkan bahwa taxpayer compliance mampu memoderasi e-filling, e-billing, dan e-faktur terhadap taxpayer compliance. Implikasi penelitian ini terhadap KPP Madya Makassar diharapkan mampu meningatkan kepatuhan wajib pajak.Kata kunci :E-Filling, E-Billing, E-Faktur, Taxation Knowledge, Taxpayer Compliance

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Baxi, Shrujal S., Ranjit Sukhu, Elizabeth Fortier, Kevin Oeffinger, Stacie Corcoran, Andrew Salner, Andrew J. Vickers, Mary S. McCabe, and Talya Salz. "Automating Treatment Summary Development Using Electronic Billing Information: A Pilot Study of Survivors of Head and Neck Cancer." Journal of Oncology Practice 15, no. 1 (January 2019): e84-e90. http://dx.doi.org/10.1200/jop.18.00022.

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PURPOSE: Although the provision of a treatment summary (TS) is a quality indicator in oncology, routine delivery of TSs remains challenging. Automatic TS generation could facilitate use, but data on accuracy are lacking in complex cancers such as head and neck cancer (HNC). We developed and evaluated an electronic platform to automate TS generation for HNC. METHODS: The algorithms autopopulated TSs using data from billing records and an institutional cancer registry. A nurse practitioner used the medical record to verify the accuracy of the information and made corrections electronically. Inaccurate and missing data were considered errors. We described and investigated reasons for errors in the automatically generated TSs. RESULTS: We enrolled a heterogeneous population of 43 survivors of HNC. Using billing data, the information on primary site, lymph node status, radiation, and chemotherapy use was accurate in 93%, 95%, 93%, and 95% of patients, respectively. Billing data captured surgery accurately in 77% of patients; once an omitted billing code was identified, accuracy increased to 98%. Chemotherapies were captured in 90% of patients. Using the cancer registry, month and year of diagnosis were accurate in 91% of cases; stage was accurate in 28% of cases. Reprogramming the algorithm to ascertain clinical stage when pathologic stage was unavailable resulted in 100% accuracy. The algorithms inconsistently identified radiation receipt and treating physicians from billing data. CONCLUSION: It is feasible to automatically and accurately generate most components of TSs for HNC using billing and cancer registry data, although clinical review is necessary in some cases.

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Ardiansyah, Arsyad, Mediya Destalia, and M. Iqbal Harori. "PENGARUH E-BILLING, DAN PEMAHAMAN PERPAJAKAN TERHADAP KEPATUHAN PAJAK." Jurnal Perspektif Bisnis 3, no. 2 (November 30, 2020): 117–30. http://dx.doi.org/10.23960/jpb.v3i2.31.

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This study aims to determine the effect of e-billing,and understanding of taxation on tax compliance on taxpayers of micro, small and medium enterprises (MSMEs) registered at KPP Pratama Tanjung Karang. This type of explanatory research using a quantitative approach. The population in this study were micro, small, and medium enterprises (MSMEs) registered at KPP Pratama Tanjung Karang. The sampling technique used purposive sampling with a sample of 100 respondents. Data analysis in this study using multiple linear regression analysis with SPSS 25.0 software tools. Based on the results of research and data analysis, it shows that partially e-billing and understanding of taxation have a significant effect on tax compliance. The simultaneous test results show that e-billing, and understanding of taxation have an effect on tax compliance. ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh e-billing, dan pemahaman perpajakan terhadap kepatuhan pajak pada wajib pajak pelaku usaha mikro, kecil, dan menengah (UMKM) yang terdaftar di KPP Pratama Tanjung Karang. Jenis penelitian eksplanatori dengan menggunakan pendekatan kuantitatif. Populasi dalam penelitian ini adalah pelaku usaha mikro, kecil, dan menengah (UMKM) yang terdaftar di KPP Pratama Tanjung Karang. Teknik pengambilan sampel menggunakan purposive sampling dengan sampel 100 responden. Analisis data dalam penelitian ini menggunakan analisis regresi linear berganda dengan alat bantu software SPSS 25.0. Berdasarkan hasil penelitian dan analisis data menunjukkan bahwa secara parsial e-billing dan pemahaman perpajakan, berpengaruh signifikan terhadap kepatuhan pajak. Hasil pengujian secara simultan menunjukan bahwa e-billing, dan pemahaman perpajakan berpengaruh terhadap kepatuhan pajak.

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Lokesh, Nitish, and Dr Pawan Kumar. "Billing System using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1420–26. http://dx.doi.org/10.22214/ijraset.2022.41546.

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Abstract: The system of using pre-made bar codes to identify a product during its billing process is time-consuming and labour intensive. The relatively unique barcode needs to be first produced, then it must be manually attached to the product. This requires a lot of pre-processing work on the products to make them ready for identification and classification. This paper presents an alternate system that works on the principle of using the products’ natural characteristics like its discrete and distinguishable looks to identify and classify them during the billing process. It’s mimicking the human way of identifying and distinguishing the products. To implement this system, we need to move away from conventional methods of programming and use a different paradigm for designing software systems based on an artificial intelligence concept i.e., machine learning. We use machine learning techniques to design the working philosophy of this system. The algorithms in Deep Neural Networks which is a part of Artificial Neural Networks, help in creating a model to base our software system’s operational logic. Especially the models based on Convolutional Neural Networks have been proven to be efficient in providing a model for image classification. This paper discusses the abstracted software system from the base billing process without worrying about the hardware environment. We choose Python and its web framework Django to design the UI to implement this system over a distributed network within any establishment that needs to incorporate this process so that each node that has to process billing need not have to adhere to the hardware requirements imposed on them to run the various CNN models which are reliant on the GPU-based tensor architecture of TensorFlow. The system also provides mechanisms for inventory management over distributed networks and simple data analytics based on local sales.

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Sulistyawati, Upik Sri, Bahruni, Afrizal, and Alfina. "Billing Barber Shop (An Implementation of GoodBarber App Builder)." International Journal Software Engineering and Computer Science (IJSECS) 2, no. 2 (October 30, 2022): 46–51. http://dx.doi.org/10.35870/ijsecs.v2i2.798.

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The research objective is to develop a Billing Barbershop application by implementing GoodBarber App Builder in application development. The research method used in this study consists of 5 parts, namely the literature study method, data collection method, analysis method, design method, and the development method used is extreme programming. From the research results, a Billing Barber Shop application has been developed by implementing the GoodBarber App Builder which is designed to consist of login, home, billing, orders, product, and users forms. The test results are known in Usability testing, Compatibility testing, Interface testing, Low level resource, Performance testing, Operational testing, Installation testing, and Security testing stating very good with an average percentage above 80%. But in Service testing, choosing poor because Billing Barber Shop still uses the internet as a connection to data using Zapier Add-ons and Google Sheets.

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Asiah, Neng, Sindik Widati, and Titik Astuti. "PENGARUH PENERAPAN E-FILING DAN E-BILLING TERHADAP KEPATUHAN PELAPORAN PAJAK WAJIB PAJAK ORANG PRIBADI." Jurnal Akuntansi Bisnis Pelita Bangsa 5, no. 02 (January 29, 2021): 75–92. http://dx.doi.org/10.37366/akubis.v5i02.157.

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Perkembangan teknologi dalam penerapan pajak sangat mempengaruhi kepatuhan wajib pajak, kemudahan dan kecepatan layanan uang diberikan memberikan kepuasan kepada wajib pajak. Penelitian ini bertujuanuntuk mengetahui pengaruh dari penerapan e-Filing dan e-Billing terhadap kepatuhan wajib pajak. Jenis data yang digunakan di penelitian ini adalah data primer dengan penyebaran kuesioner kepada wajib pajak yang terdaftar di KPP Pratama Cibitung dengan menggunakan metode pengambilan sampel acak. Sejumlah 100 responden dijadikan sebagai sampel, teknik analisis yang digunakan dalam penelitian ini adalah teknik regresi linear berganda.Hasil penelitian menunjukkan bahwa (1) Penerapan e-Filing berpengaruh positif dan signifikan terhadap Kepatuhan Wajib Pajak, yang berarti bahwa semakin banyak wajib pajak menggunakan fasilitas e-filing menandakan tingkat kepatuhan semakin baik, (2) Penerapan e-Billing tidak berpengaruh terhadap Kepatuhan Wajib Pajak, yang berarti bahwa penggunaan e-billing tidak meningkatkan kepatuhan wajib pajak, (3) Penerapan e-Filing dan e-Billing berpengaruh secara simultan terhadap Kepatuhan Wajib Pajak. Kata Kunci:E-Filing, E-Billing, Kepatuhan Wajib Pajak

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