Relevant bibliographies by topics / Benefits of medical coding

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Benefits of medical coding'

Author: Grafiati
Published: 7 June 2025
Last updated: 9 July 2025

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Journal articles on the topic "Benefits of medical coding"

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Prateeksha, Pawar* Dr. B. V. Yadav. "A Review on Medical Coding in Healthcare." International Journal of Pharmaceutical Sciences 3, no. 4 (2025): 1863–78. https://doi.org/10.5281/zenodo.15222504.

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Medical coding serves as a vital bridge connecting healthcare providers, insurance companies, and regulatory organizations, ensuring smooth communication and efficient operations within the healthcare ecosystem. This overview highlights the core objectives of medical coding, explores its transformative relationship with artificial intelligence (AI), and delves into key aspects such as the coding process, certification programs, the critical importance of accuracy, and opportunities for careers or entrepreneurship in this dynamic field. The advent of AI has dramatically reshaped the landscape of medical coding. By employing technologies like machine learning algorithms, AI has made the coding process more efficient and precise. Automated systems can now analyze vast amounts of healthcare data, translating complex narrative details into accurate medical codes with remarkable speed. This innovation not only accelerates the workflow but also significantly reduces the risk of errors, ultimately enhancing the overall quality of medical coding practices.
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Reid, Beth. "Analysing DRG Data from a Coding Perspective." Australian Medical Record Journal 18, no. 2 (1988): 59–62. http://dx.doi.org/10.1177/183335838801800206.

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In this paper the author discusses the benefits of analysing diagnosis related groups (DRGs) from a coding perspective. Relevant literature is reviewed on issues associated with local coding practices, selection of principal diagnosis, “DRG creep”, the accuracy of coded data and methods for detecting coding errors. The author argues for employing a coding expert such as a medical record administrator in order to gain important insight into the analysis of DRG data and to provide feedback to coders for continuing quality assurance of coded data.
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Schapira, Marilyn M., Keri L. Rodriguez, Sumedha Chhatre, et al. "When Is a Harm a Harm? Discordance between Patient and Medical Experts’ Evaluation of Lung Cancer Screening Attributes." Medical Decision Making 41, no. 3 (2021): 317–28. http://dx.doi.org/10.1177/0272989x20987221.

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Background A shared decision-making (SDM) process for lung cancer screening (LCS) includes a discussion between clinicians and patients about benefits and potential harms. Expert-driven taxonomies consider mortality reduction a benefit and consider false-positives, incidental findings, overdiagnosis, overtreatment, radiation exposure, and direct and indirect costs of LCS as potential harms. Objective To explore whether patients conceptualize the attributes of LCS differently from expert-driven taxonomies. Design Cross-sectional study with semistructured interviews and a card-sort activity. Participants Twenty-three Veterans receiving primary care at a Veterans Affairs Medical Center, 55 to 73 y of age with 30 or more pack-years of smoking. Sixty-one percent were non-Hispanic African American or Black, 35% were non-Hispanic White, 4% were Hispanic, and 9% were female. Approach Semistructured interviews with thematic coding. Main Measures The proportion of participants categorizing each attribute as a benefit or harm and emergent themes that informed this categorization. Key Results In addition to categorizing reduced lung cancer deaths as a benefit (22/23), most also categorized the following as benefits: routine annual screening (8/9), significant incidental findings (20/23), follow-up in a nodule clinic (20/23), and invasive procedures (16/23). Four attributes were classified by most participants as a harm: false-positive (13/22), overdiagnosis (13/23), overtreatment (6/9), and radiation exposure (20/22). Themes regarding the evaluation of LCS outcomes were 1) the value of knowledge about body and health, 2) anticipated positive and negative emotions, 3) lack of clarity in terminology, 4) underlying beliefs about cancer, and 5) risk assessment and tolerance for uncertainty. Conclusions Anticipating discordance between patient- and expert-driven taxonomies of the benefits and harms of LCS can inform the development and interpretation of value elicitation and SDM discussions.
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Narroschke, Matthias. "Benefits and costs of scalable video coding for internet streaming." Journal of Visual Communication and Image Representation 16, no. 4-5 (2005): 397–411. http://dx.doi.org/10.1016/j.jvcir.2004.11.010.

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Cole, Rebekah, Audra G. Garrigan, Sidney A. Peters, et al. "Medical Students’ Integration of Formative Feedback During Simulation: A Grounded Theory Study." Military Medicine 188, Supplement_3 (2023): 48–55. http://dx.doi.org/10.1093/milmed/usac378.

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ABSTRACT Introduction Formative feedback is critical for trainees’ growth and development. However, there is a gap in the professional literature regarding the ways in which formative feedback affects student performance during simulation. This grounded theory study addresses this gap by exploring the ways in which medical students received and integrated ongoing formative feedback throughout a multiday, high-fidelity military medical simulation, Operation Bushmaster. Materials and Methods Our research team interviewed 18 fourth-year medical students in order to investigate how they processed formative feedback during the simulation. Guided by the grounded theory tradition of qualitative research, our research team used open coding and axial coding to categorize the data. We then used selective coding to determine the casual relationships between each of the categories that emerged from the data. These relationships determined our grounded theory framework. Results Four phases emerged from the data and provided a framework to delineate the process in which students received and integrated formative feedback throughout the simulation: (1) ability to self-assess, (2) self-efficacy, (3) leadership and teamwork, and (4) appreciation of feedback for personal and professional growth. The participants first focused on feedback related to their individual performance but then shifted to a teamwork and leadership mindset. Once they adapted this new mindset, they began to intentionally provide feedback to their peers, increasing their team’s performance. At the end of the simulation, the participants recognized the benefits of formative feedback and peer feedback for ongoing professional development throughout their careers, signifying a growth mindset. Conclusions This grounded theory study provided a framework for determining how medical students integrated formative feedback during a high-fidelity, multiday medical simulation. Medical educators can use this framework to intentionally guide their formative feedback in order to maximize student learning during simulation.
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Walker, Sue, Maryann Wood, Jeffrey Wilks, and Jennifer Nicol. "Comparing ICD-9-CM and ICD-10 Classification Systems in a Primary Health Care Setting: Some Initial Observations." Health Information Management 25, no. 3 (1995): 83–86. http://dx.doi.org/10.1177/183335839502500305.

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The ICD-10 is due to be introduced into Australia during the late 1990s, superseding the current and widely used ICD-9-CM. Improvements in areas such as number of codes, an expanded external cause framework, and more context to injuries are expected to make the ICD-10 a more streamlined system for practitioners. The present study examined both classification formats using data from 1183 presentations to primary health clinics at island tourist resorts. Some initial observations are made about differences in the two systems, highlighting the greater coding detail provided by the ICD-10, particularly in the area of injuries. It is recommended that further empirical testing be undertaken using the ICD-10 in a variety of settings so as to identify benefits in the coding of both medical conditions and injuries.
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Ullah, Fasee, Izhar Ullah, Atif Khan, M. Irfan Uddin, Hashem Alyami, and Wael Alosaimi. "Enabling Clustering for Privacy-Aware Data Dissemination Based on Medical Healthcare-IoTs (MH-IoTs) for Wireless Body Area Network." Journal of Healthcare Engineering 2020 (November 28, 2020): 1–10. http://dx.doi.org/10.1155/2020/8824907.

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There is a need to develop an effective data preservation scheme with minimal information loss when the patient’s data are shared in public interest for different research activities. Prior studies have devised different approaches for data preservation in healthcare domains; however, there is still room for improvement in the design of an elegant data preservation approach. With that motivation behind, this study has proposed a medical healthcare-IoTs-based infrastructure with restricted access. The infrastructure comprises two algorithms. The first algorithm protects the sensitivity information of a patient with quantifying minimum information loss during the anonymization process. The algorithm has also designed the access polices comprising the public access, doctor access, and the nurse access, to access the sensitivity information of a patient based on the clustering concept. The second suggested algorithm is K-anonymity privacy preservation based on local coding, which is based on cell suppression. This algorithm utilizes a mapping method to classify the data into different regions in such a manner that the data of the same group are placed in the same region. The benefit of using local coding is to restrict third-party users, such as doctors and nurses, when trying to insert incorrect values in order to access real patient data. Efficiency of the proposed algorithm is evaluated against the state-of-the-art algorithm by performing extensive simulations. Simulation results demonstrate benefits of the proposed algorithms in terms of efficient cluster formation in minimum time, minimum information loss, and execution time for data dissemination.
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Trombert-Paviot, Beatrice, Alan Rector, Robert Baud, et al. "The Development of CCAM: The New French Coding System of Clinical Procedures." Health Information Management 31, no. 1 (2003): 2–11. http://dx.doi.org/10.1177/183335830303100103.

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A new French coding system of clinical procedures, the Classification Commune Des Actes Medicaux (CCAM), has been developed at the turn of the millennium (between 1996 and 2001). Two methodologies were used: a traditional domain-experts consensus method, and an artificial-intelligence-based semantic representation. An economic evaluation of clinical procedures was also undertaken for the rating for fee-for-service payment. We present the methodologies used and stress how the European Union research project, ‘European Consortium, Generalised Architecture for Languages, Encyclopaedias and Nomenclatures in Medicine’ (GALEN), facilitated the sharing and maintaining of consistent medical knowledge. This country case study highlights the significant cost to individual countries in developing their own classifications in isolation. It also demonstrates the benefits of contributing to international efforts such as GALEN that enable harmonisation, yet still allow for diversity.
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Nurfena, Deta Nurfena, Laela Indawati, Deasy Rosmala Dewi, and Puteri Fannya. "Analisis Ketepatan Kode Diagnosis Typhoid Fever Pada Rekam Medis Rawat Inap di Rumah Sakit Islam Karawang Tahun 2020." Cerdika: Jurnal Ilmiah Indonesia 2, no. 4 (2022): 491–96. http://dx.doi.org/10.36418/cerdika.v2i4.363.

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Medical record is a file containing records and documents regarding patient identity, examination, treatment, actions and other services that have been provided to patients. where one of the services provided is the management of patient medical record documents that contain coding of diagnoses and actions given to patients. The implementation of coding disease diagnoses in hospitals is a very important activity, namely by classifying disease diagnoses into several groups for the benefit of reports that the hospital does every month, both for internal reports and external reports and plays an important role in the financing system at the hospital itself. The purpose of this study was to determine the accuracy of the diagnosis code for typhoid fever in inpatients at the Karawang Islamic Hospital. The research methodology was carried out using quantitative descriptive methods, the population was 200 medical records of typhoid fever patients in 2020, with a total sample of 67 samples. The sampling technique used is simple random sampling. How to collect data is done by direct observation. The accuracy of the code obtained is 31 (46%) correct codes and 36 (54%) incorrect codes, the inaccuracy of the code is caused by the medical record professional staff in charge of the coding section who are still not focused and not careful with laboratory results to determine the results of the coding. It is correct and only codes for the H titer, while in determining the diagnosis of typhoid fever, it is seen from the O titer. Suggestions for coding the diagnosis carried out at the Karawang Islamic Hospital are expected that the coding is carried out correctly according to the diagnosis, history, and laboratory results.
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Moens, Maarten, Leen Van Doorslaer, Maxime Billot, et al. "Examining the Type, Quality, and Content of Web-Based Information for People With Chronic Pain Interested in Spinal Cord Stimulation: Social Listening Study." Journal of Medical Internet Research 26 (January 30, 2024): e48599. http://dx.doi.org/10.2196/48599.

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Background The increased availability of web-based medical information has encouraged patients with chronic pain to seek health care information from multiple sources, such as consultation with health care providers combined with web-based information. The type and quality of information that is available on the web is very heterogeneous, in terms of content, reliability, and trustworthiness. To date, no studies have evaluated what information is available about neuromodulation on the web for patients with chronic pain. Objective This study aims to explore the type, quality, and content of web-based information regarding spinal cord stimulation (SCS) for chronic pain that is freely available and targeted at health care consumers. Methods The social listening tool Awario was used to search Facebook (Meta Platforms, Inc), Twitter (Twitter, Inc), YouTube (Google LLC), Instagram (Meta Platforms, Inc), blogs, and the web for suitable hits with “pain” and “neuromodulation” as keywords. Quality appraisal of the extracted information was performed using the DISCERN instrument. A thematic analysis through inductive coding was conducted. Results The initial search identified 2174 entries, of which 630 (28.98%) entries were eventually withheld, which could be categorized as web pages, including news and blogs (114/630, 18.1%); Reddit (Reddit, Inc) posts (32/630, 5.1%); Vimeo (Vimeo, Inc) hits (38/630, 6%); or YouTube (Google LLC) hits (446/630, 70.8%). Most posts originated in the United States (519/630, 82.4%). Regarding the content of information, 66.2% (383/579) of the entries discussed (fully discussed or partially discussed) how SCS works. In total, 55.6% (322/579) of the entries did not elaborate on the fact that there may be >1 potential treatment choice and 47.7% (276/579) did not discuss the influence of SCS on the overall quality of life. The inductive coding revealed 4 main themes. The first theme of pain and the burden of pain (1274/8886, 14.34% coding references) explained about pain, pain management, individual impact of pain, and patient experiences. The second theme included neuromodulation as a treatment approach (3258/8886, 36.66% coding references), incorporating the background on neuromodulation, patient-centered care, SCS therapy, and risks. Third, several device-related aspects (1722/8886, 19.38% coding references) were presented. As a final theme, patient benefits and testimonials of treatment with SCS (2632/8886, 29.62% coding references) were revealed with subthemes regarding patient benefits, eligibility, and testimonials and expectations. Conclusions Health care consumers have access to web-based information about SCS, where details about the surgical procedures, the type of material, working mechanisms, risks, patient expectations, testimonials, and the potential benefits of this therapy are discussed. The reliability, trustworthiness, and correctness of web-based sources should be carefully considered before automatically relying on the content.
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Dissertations / Theses on the topic "Benefits of medical coding"

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Morgan, Pamela Sheila. "Medical image coding and segmentation :." Thesis, University of Bristol, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442206.

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Holt, Jim, Ambreen Warsy, and Paula Wright. "Medical Decision Making: Guide to Improved CPT Coding." Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etsu-works/6484.

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Background: The Current Procedural Terminology (CPT) coding system for office visits, which has been in use since 1995, has not been well studied, but it is generally agreed that the system contains much room for error. In fact, the available literature suggests that only slightly more than half of physicians will agree on the same CPT code for a given visit, and only 60% of professional coders will agree on the same code for a particular visit. In addition, the criteria used to assign a code are often related to the amount of written documentation. The goal of this study was to evaluate two novel methods to assess if the most appropriate CPT code is used: the level of medical decision making, or the sum of all problems mentioned by the patient during the visit. Methods: The authors–a professional coder, a residency faculty member, and a PGY-3 family medicine resident–reviewed 351 randomly selected visit notes from two residency programs in the Northeast Tennessee region for the level of documentation, the level of medical decision making, and the total number of problems addressed. The authors assigned appropriate CPT codes at each of those three levels. Results: Substantial undercoding occurred at each of the three levels. Approximately 33% of visits were undercoded based on the written documentation. Approximately 50% of the visits were undercoded based on the level of documented medical decision making. Approximately 80% of the visits were undercoded based on the total number of problems which the patient presented during the visit. Interrater agreement was fair, and similar to that noted in other coding studies. Conclusions: Undercoding is not only common in a family medicine residency program but it also occurs at levels that would not be evident from a simple audit of the documentation on the visit note. Undercoding also occurs from not exploring problems mentioned by the patient and not documenting additional work that was performed. Family physicians may benefit from minor alterations in their documentation of office visit notes. Key Points: * All previous studies of CPT coding have audited the written encounter note. * Medical decision making (MDM) is the most appropriate basis for selecting the CPT code for an office visit, as long as the history or the physical exam documentation also support that level. * Using MDM to retrospectively audit office visit notes showed that 50% of visits were undercoded. A small amount of additional documentation would allow the higher code. * Addressing all patient-mentioned problems during the visit, although clearly more time-consuming, would allow a higher CPT code to be used for 80% of the audited visits.
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Bartrina, Rapesta Joan, Victor Sanchez, Sagrsità Joan Serra, Michael W. Marcellin, Llinàs Francesc Aulí, and Ian Blanes. "Lossless medical image compression through lightweight binary arithmetic coding." SPIE-INT SOC OPTICAL ENGINEERING, 2017. http://hdl.handle.net/10150/626487.

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A contextual lightweight arithmetic coder is proposed for lossless compression of medical imagery. Context definition uses causal data from previous symbols coded, an inexpensive yet efficient approach. To further reduce the computational cost, a binary arithmetic coder with fixed-length codewords is adopted, thus avoiding the normalization procedure common in most implementations, and the probability of each context is estimated through bitwise operations. Experimental results are provided for several medical images and compared against state-of-the-art coding techniques, yielding on average improvements between nearly 0.1 and 0.2 bps.
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Agrafiotis, Dimitris. "Three dimensional coding and visualisation of volumetric medical images." Thesis, University of Bristol, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271864.

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Whisman, Daniel Montgomery. "Benefits of opportunistic routing, implicit acknowledgments, and network coding on a linear broadcast network." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/105956.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 69-72).<br>This thesis studies the benefits of using opportunistic routing, implicit acknowledgments, and network coding on a linear broadcast packet network. Nodes are arranged in a line, and the first node wishes to communicate with the end node. When node i transmits, it is received at node j with a probability Pi,j . Several communication protocols are proposed and their performance studied using the mean and variance of the completion time as metrics. The protocols studied use end-to-end retransmission, end-to-end coding, and link-by-link retransmission with network coding both with and without opportunistic routing. Simulation and analytical results are presented. End-to-end coding significantly outperforms end-to-end retransmission on both metrics, and the link-by-link protocols outperform both. Opportunistic routing shows a mixed benefit over link-by-link protocols without it. When using opportunistic routing, the variance of the completion time is higher, and the mean is either similar or lower, depending on the channel conditions. When the loss probabilities are higher, opportunistic routing shows little benefit, whereas with a lower probability of packet loss, opportunistic routing shows a significant reduction in mean completion time.al Engineering and Computer Science.<br>by Daniel Montgomery Whisman.<br>S.M.
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Wu, David, and dwu8@optusnet com au. "Perceptually Lossless Coding of Medical Images - From Abstraction to Reality." RMIT University. Electrical & Computer Engineering, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080617.160025.

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This work explores a novel vision model based coding approach to encode medical images at a perceptually lossless quality, within the framework of the JPEG 2000 coding engine. Perceptually lossless encoding offers the best of both worlds, delivering images free of visual distortions and at the same time providing significantly greater compression ratio gains over its information lossless counterparts. This is achieved through a visual pruning function, embedded with an advanced model of the human visual system to accurately identify and to efficiently remove visually irrelevant/insignificant information. In addition, it maintains bit-stream compliance with the JPEG 2000 coding framework and subsequently is compliant with the Digital Communications in Medicine standard (DICOM). Equally, the pruning function is applicable to other Discrete Wavelet Transform based image coders, e.g., The Set Partitioning in Hierarchical Trees. Further significant coding gains are ex ploited through an artificial edge segmentation algorithm and a novel arithmetic pruning algorithm. The coding effectiveness and qualitative consistency of the algorithm is evaluated through a double-blind subjective assessment with 31 medical experts, performed using a novel 2-staged forced choice assessment that was devised for medical experts, offering the benefits of greater robustness and accuracy in measuring subjective responses. The assessment showed that no differences of statistical significance were perceivable between the original images and the images encoded by the proposed coder.
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Yuan, Qiang. "Adaptive, statistical, context modelling for predictive coding of medical images." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq21056.pdf.

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Schnell, Michaël. "Using Case-Based Reasoning and Argumentation to Assist Medical Coding." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0168.

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Le but du Registre National du Cancer (RNC) du Luxembourg est de collecter des données sur le cancer et la qualité des traitements au Luxembourg. Afin d’obtenir des données de haute qualité et comparables avec celles d’autres registres ou pays, le RNC suit les règles et standards internationaux de codification comme la Classification International des Maladies pour l’Oncologie (COM-O). Ces standards sont complexes et considérables, compliquant fortement le processus de collecte des données. Les encodeurs en charge de la collecte des données sont souvent confrontés à des situations dans lesquelles des données sont manquantes ou contradictoires, les empêchant d’appliquer les règles fournies. Pour les aider dans leur tâche, les exports de codification du RNC répondent aux questions de codage des encodeurs. Cependant, ces réponses requièrent beaucoup de temps des experts. Le but de ce projet est de réduire le temps d’expert nécessaire et de faciliter le travail des encodeurs. D’un point de vue scientifique, cette thèse s’intéresse au problème de synthèse d’informations à partir d’un ensemble de données provenant de différentes sources avec des contraintes et recommandations à respecter. Le raisonnement à partir de cas est utilisé pour résoudre ce problème car cette méthodologie ressemble à cette employée par les experts. La méthode de résolution conçue utilise des arguments fournis par les experts de codification dans le cadre de questions posées précédemment par les encodeurs. Ce document décrit comment ces arguments servent à identifier des questions similaires et à expliquer la réponse aux encodeurs et aux experts. Une évaluation préliminaire a été réalisée pour évaluer la performance de la méthode et identifier des pistes d’améliorations. Dans un premier temps, le travail produit porte sur les registres du cancers et la codification médicale, cependant l’approche est généralisable à d’autres domaines<br>The aim of the National Cancer Registry (NCR) in Luxembourg is to collect data about cancer and the quality of cancer treatment. To obtain high quality data that can be compared with other registries or countries, the NCR follows international coding standards and rules, such as the International Classification of Diseases for Oncology (ICD-O). These standards are extensive and complex, which complicates the data collection process. The operators, i.e. the people in charge of this process, are often confronted with situations where data is missing or contradictory, preventing the application of the provided guidelines. To assist in their effort, the coding experts of the NCR answer coding questions asked by operators. This assistance.is time consuming for experts. To help reduce this burden on experts and to facilitate the operators’ task, this project aims at implementing a coding assistant that would answer coding questions. From a scientific point of view, this thesis tackles the problem of extracting the information from a set of data sources under a given set of rules and guidelines. Case-based reasoning has been chosen as the method for solving this problem given its similarity with the reasoning process of the coding experts. The method designed to solve this problem relies on arguments provided by coding experts in the context of previously solved problems. This document presents how these arguments are used to identify similar problems and to explain the computed solution to both operators and coding experts. A preliminary evaluation has assessed the designed method and has highlighted key areas to improve. While this work focused on cancer registries and medical coding, this method could be generalized to other domains
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Morse, Robert. "Studies of temporal coding for analogue cochlear implants using animal and computational models : benefits of noise." Thesis, Keele University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242448.

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Sjöblom, Erik. "Compression of Medical Image Stacks using Wavelets and Zero-Tree Coding." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1048.

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<p>The use of computers for handling image data in the healthcare is growing. The amount of data produced by modern image generating techniques, such as CT and MR, is vast. The amount of data might be a problem from a storage point of view or when the data is sent over a network. To overcome these problems data compression techniques adapted to these applications are needed. There are an abundant number of compression schemes for the compression of images, but few that are geared towards compression of image stacks. Though these 2D techniques can be applied to the image stacks they do not fully exploit the three-dimensional nature of the stacks. In this thesis ideas from the image compression area are extended to exploit the 3D nature of image stacks. Attention is directed to MR and CT stacks. The compression schemes in this thesis are based on the relatively new notion of wavelets, used in the JPEG2000 standard. The schemes also providea quality progressive transmission, which allows intermediate low-quality results to be constructed. Two different coders are presented in this thesis both developed for the compression of image stacks containing medical data. They are evaluated and compared and a top performer is chosen. Advantages and drawbacks of the schemes and future enhancements are also discussed.</p>
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Books on the topic "Benefits of medical coding"

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Diamond, Marsha S. Mastering medical coding. 4th ed. Saunders Elsevier, 2010.

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Diamond, Marsha S. Mastering medical coding. 4th ed. Saunders Elsevier, 2010.

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Marc, Leib, ed. Medical coding fundamentals. McGraw-Hill, 2013.

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United States. Bureau of Labor Statistics. Office of Wages and Industrial Relations. Division of Occupational Pay and Employee Benefit Levels., ed. Employee benefits survey, health coding manual. The Division, 1986.

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United States. Bureau of Labor Statistics. Office of Wages and Industrial Relations. Division of Occupational Pay and Employee Benefit Levels., ed. Employee benefits survey, health coding manual. The Division, 1986.

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Washington (State). Dept. of Social and Health Services., ed. Medical extension benefits. Washington State Dept. of Social & Health Services, 2002.

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United States. Bureau of Labor Statistics. Office of Wages and Industrial Relations. Division of Occupational Pay and Employee Benefit Levels., ed. Employee benefits survey: Defined contribution coding manual. The Division, 1986.

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Smiley, Karen. Medical billing & coding for dummies. Wiley, 2012.

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Stich, Anne P. Medical Terminology, Documentation, and coding. Routledge, 2018. http://dx.doi.org/10.4324/9781315211367.

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R, Lovaasen Karla, ed. Step-by-step medical coding. 2nd ed. W.B. Saunders, 1998.

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Book chapters on the topic "Benefits of medical coding"

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Babatunde, Adefolakemi, and Pamela K. Woodard. "Thoughts on Coding and Reimbursement." In Contemporary Medical Imaging. Humana Press, 2019. http://dx.doi.org/10.1007/978-1-60327-237-7_18.

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Berger, Carol, Theresa Galakatos, and Nina A. Zimmermann. "Practice Coding." In Medical Documentation, Billing, and Coding for the Advanced Practice Nurse. Routledge, 2024. https://doi.org/10.4324/9781003542872-10.

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Beckstead, Robert M. "Sensory Transduction and Coding." In A Survey of Medical Neuroscience. Springer New York, 1996. http://dx.doi.org/10.1007/978-1-4419-8570-5_10.

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Lu, Lee B., and Scott V. Joy. "Outpatient Billing and Coding." In Leading an Academic Medical Practice. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68267-9_4.

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Rompelman, Otto. "Medical Image Compression: Possible Applications of Subband Coding." In Subband Image Coding. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4757-2119-5_8.

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Hinson, Andrew M., and Kim Pollock. "Parathyroid Coding and Billing." In Medical and Surgical Treatment of Parathyroid Diseases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26794-4_43.

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Wear, Stephen. "The Potential Benefits of Informed Consent." In Clinical Medical Ethics. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-015-8122-6_5.

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Shi, Yonghong, Guorong Wu, Zhijian Song, and Dinggang Shen. "Dense Deformation Reconstruction via Sparse Coding." In Machine Learning in Medical Imaging. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35428-1_5.

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Mechtler, Reli. "CHIC: Community Health Information Classification and Coding." In Medical Informatics Europe 1991. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-93503-9_136.

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Chitra, P., and M. Mary Shanthi Rani. "Differential Coding-Based Medical Image Compression." In Computer Aided Intervention and Diagnostics in Clinical and Medical Images. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04061-1_2.

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Conference papers on the topic "Benefits of medical coding"

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Esfahanizadeh, Homa, Vipindev Adat Vasudevan, Benjamin D. Kim, et al. "On the Benefits of Coding for Network Slicing." In 2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024. http://dx.doi.org/10.1109/iccworkshops59551.2024.10615499.

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Zeng, Long, Mingwei Zhu, Kaigui Wu, and Zefang Li. "Medical Image Segmentation via Sparse Coding Decoder." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889260.

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Hobson, Tanner, and Jian Huang. "Visualizing Medical Coding Practices Using Transformer Models." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013257800003905.

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Clary, Kelly Lynn, Hyojung Kang, Laura Quintero Silva, and Julie Bobitt. "Weeding out the Stigma: Experiences Shared by Older Veterans." In 2021 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2022. http://dx.doi.org/10.26828/cannabis.2022.01.000.37.

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Background: Cannabis use today is the highest it has been in three decades, approaching 36.5% prevalence for past year use (Schulenberg et al., 2017). From a 2014 nationwide sample of Veterans over 18, approximately 9% reported past year cannabis use (Davis et al., 2018). It also showed that in states where medical cannabis was legal, 41% of Veterans who used cannabis in the past year reported doing so for medical purposes. Modern research findings continue to point to medical cannabis as a potentially effective alternative to prescription medications (i.e., opioids and benzodiazepines) for treating a broad range of medical conditions. Aims: The goal of our larger study was to develop a deeper understanding of cannabis use in US older Veterans (60 years +) who are using cannabis as a substitute or complement for opioids and/or benzodiazepines. While research exists on the use levels of cannabis, to our knowledge, limited research on the perceived stigma of using cannabis among older Veterans exists. For the current study, we sought to develop an understanding of stigma associated with older Veterans using cannabis. Methodology: We surveyed 121 older Veterans who were enrolled in the Illinois Medical Cannabis Patient Program during fall 2020. We then used maximum variation sampling to select a subset of 32 Veterans who completed the initial online survey. From November 2020 to February 2021, two researchers conducted 30-minute audiotaped semi-structured interviews. Participants represented diversity regarding the age of cannabis initiation, type of cannabis user, military branch, type of healthcare provider, and race/ethnicity. Interview topics included (1) use of cannabis, opioids, and benzodiazepines, (2) interactions with medical providers, (3) stigma regarding cannabis use, and (4) educational materials for older Veterans. For the current study, we present findings from the third topic regarding stigma associated with using cannabis. The interviews were transcribed verbatim for data analysis purposes. Weekly meetings among two coders ensued to debrief on coding procedures, reflect on biases and interpretations, and reach consensus regarding coding discrepancies. The final codebook reached an 87% inter-rater reliability. Then, the two coders independently coded the transcripts and employed a rigorous thematic analysis approach using NVivo12 QSR. A narrative was woven together with exemplary quotes to illustrate major themes. Findings: We identified three stigma focused themes: (1) stereotypes regarding people who use cannabis, (2) hesitation of disclosing cannabis use with others, and (3) media portrayal (i.e., movies, television shows) of cannabis users. Implications: Stigma creates situations in which older Veterans are hesitant to disclose their use of cannabis with physicians and friends/family which can be dangerous and also socially isolating. Additionally, older Veterans may benefit from shared experiences about cannabis use for medical purposes, but this often does not occur. The empirically-based insights gained from this work have the potential to inform public health leaders, healthcare administrators, and public messaging regarding the use of medical cannabis. Additional research is needed to expand upon our findings with more generalizable methods and a representative sample of older Veterans.
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Roundtree, Aimee. "Human Factors and Facial Recognition Technology in Emergency Response: An Integrative Review." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005317.

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Facial Recognition Technology (FRT) has the potential to enhance emergency response by improving efficiency, reducing response times, and potentially saving lives. It is important to explore both the benefits and challenges of implementing FRT in emergency response protocols and identify the gaps in research on its application in emergency response. This integrative review collected articles from 2010 onwards through keyword searches in titles and abstracts across multiple databases, with inclusion and exclusion criteria applied, focusing on English-language peer-reviewed articles mentioning specific keywords related to emergency services and facial recognition. Data collection involved converting PDFs to plain text and coding--both human and non-human--for thematic analysis refined over rounds of close readings for accuracy. The results reveal positive and mixed findings regarding FRT in emergency response across various studies. Several methodologies were employed, including machine learning and deep learning techniques, achieving high accuracy rates in identifying individuals, particularly in scenarios like disaster rescue and masked-face recognition during the COVID-19 pandemic. Studies also evaluated FRT's effectiveness in disaster victim identification, safety systems integration, and medical applications, showcasing its potential across different contexts. However, limitations such as challenges in real-world deployment, concerns regarding privacy and bias, and the need for further validation and standardization were highlighted across the studies, indicating areas for future research and development to enhance the technology's efficacy and ethical use. The review emphasizes the importance of addressing technical, ethical, and governance challenges to deploy FRT effectively and responsibly in emergency response, serving as a valuable resource for stakeholders and researchers seeking to understand and advance the field.
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Javad, Ebrahimi B., and Christina Fragouli. "On benefits of vector network coding." In 2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2010. http://dx.doi.org/10.1109/allerton.2010.5707094.

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Sablayrolles, Jean-Louis, Erdogan Cesmeli, Laura Mintandjian, Olivier Adda, and Diane Dessalles-Martin. "Wide coverage by volume CT: benefits for cardiac imaging." In Medical Imaging, edited by Michael J. Flynn. SPIE, 2005. http://dx.doi.org/10.1117/12.595639.

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Sebera, C. Wayne, S. Lennon, J. Lucchesi, and Dennis L. Wilson. "Hospital and patient benefits of a full hospital PACS." In Medical Imaging 1994, edited by R. Gilbert Jost. SPIE, 1994. http://dx.doi.org/10.1117/12.174367.

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Mills, Stephen F., Stephanie Yeh, Michael S. Wasniewski, and Raymond T. Yeh. "Estimating the benefits of clinical PACS through process modeling." In Medical Imaging 1996, edited by R. Gilbert Jost and Samuel J. Dwyer III. SPIE, 1996. http://dx.doi.org/10.1117/12.239296.

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Baskurt, Atilla M., Isabelle E. Magnin, and Alain Bremond. "Image coding for archiving mammograms." In Medical Imaging VI, edited by Yongmin Kim. SPIE, 1992. http://dx.doi.org/10.1117/12.59502.

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Reports on the topic "Benefits of medical coding"

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Lucas, Christine, Emily Hadley, Jason Nance, et al. Machine Learning for Medical Coding in Health Care Surveys. National Center for Health Statistics (U.S.), 2021. http://dx.doi.org/10.15620/cdc:109828.

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Lakdawalla, Darius, and Charles Phelps. Evaluation of Medical Technologies with Uncertain Benefits. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26058.

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Kluegel, Bradley C. Improving the Quality of Medical Coding Data at Naval Hospital Bremerton. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada420996.

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Cutler, David. The Lifetime Costs and Benefits of Medical Technology. National Bureau of Economic Research, 2007. http://dx.doi.org/10.3386/w13478.

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Evans, William, and Craig Garthwaite. Estimating Heterogeneity in the Benefits of Medical Treatment Intensity. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15309.

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Bender, Brian J. Evaluating the Coding and Workload Accounting Improvement Initiative of Madigan Army Medical Center. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada490767.

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Hoedebecke, Sally S. The Need for Medical Nutrition Therapy as Medicare/Tricare Benefits. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada328060.

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Lehning, Peter A. Improving the Emergency Department's Processes of Coding and Billing at Brooke Army Medical Center. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada421418.

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Gall, Daniel W. Coding Accuracy of the Ambulatory Data System: A Study of Coding Accuracy Within the General Internal Medicine Clinic, Walter Reed Army Medical Center. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada372083.

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Garden, Paul W. The Impact of Outpatient Professional Coding on Third-Party Collections at Wilford Hall Medical Center. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada408442.

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