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Relevant bibliographies by topics / ICD-10-CM

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Academic literature on the topic 'ICD-10-CM'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "ICD-10-CM"

1

Waguespack, Richard W., and Rhonda Buckholtz. "ICD-9-CM to ICD-10-CM Transition." Otolaryngology–Head and Neck Surgery 145, no. 2_suppl (2011): P10—P11. http://dx.doi.org/10.1177/0194599811415818a8.

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Parman, Cindy. "ICD-10-CM Updates!" Oncology Issues 31, no. 6 (2016): 12–16. http://dx.doi.org/10.1080/10463356.2016.11884133.

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Cartwright, Donna J. "ICD-9-CM to ICD-10-CM Codes: What? Why? How?" Advances in Wound Care 2, no. 10 (2013): 588–92. http://dx.doi.org/10.1089/wound.2013.0478.

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Hodorowicz, Mary Ann. "New ICD-10-CM Coding System." AADE in Practice 4, no. 2 (2016): 12–15. http://dx.doi.org/10.1177/2325160316629899.

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Parman, Cindy. "Still More ICD-10-CM Updates!" Oncology Issues 33, no. 6 (2018): 8–12. http://dx.doi.org/10.1080/10463356.2018.1536109.

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Wu, Patrick, Aliya Gifford, Xiangrui Meng, et al. "Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation." JMIR Medical Informatics 7, no. 4 (2019): e14325. http://dx.doi.org/10.2196/14325.

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Background The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using the electronic health record (EHR). Objective The goal of this paper was to develop and perform an initial evaluation of maps from the International Classification of Diseases, 10th Revision (ICD-10) and the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes to phecodes. Methods We mapped ICD-10 and ICD-10-CM codes to phecodes using a number of methods and res

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Cartagena, F. Phil, Molly Schaeffer, Dorothy Rifai, Victoria Doroshenko, and Howard S. Goldberg. "Leveraging the NLM map from SNOMED CT to ICD-10-CM to facilitate adoption of ICD-10-CM." Journal of the American Medical Informatics Association 22, no. 3 (2015): 659–70. http://dx.doi.org/10.1093/jamia/ocu042.

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Abstract Objective Develop and test web services to retrieve and identify the most precise ICD-10-CM code(s) for a given clinical encounter. Facilitate creation of user interfaces that 1) provide an initial shortlist of candidate codes, ideally visible on a single screen; and 2) enable code refinement. Materials and Methods To satisfy our high-level use cases, the analysis and design process involved reviewing available maps and crosswalks, designing the rule adjudication framework, determining necessary metadata, retrieving related codes, and iteratively improving the code refinement algorith

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Venepalli, Neeta K., Ardaman Shergill, Parvaneh Dorestani, and Andrew D. Boyd. "Conducting Retrospective Ontological Clinical Trials in ICD-9-CM in the Age of ICD-10-CM." Cancer Informatics 13s3 (January 2014): CIN.S14032. http://dx.doi.org/10.4137/cin.s14032.

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Objective To quantify the impact of International Classification of Disease 10th Revision Clinical Modification (ICD-10-CM) transition in cancer clinical trials by comparing coding accuracy and data discontinuity in backward ICD-10-CM to ICD-9-CM mapping via two tools, and to develop a standard ICD-9-CM and ICD-10-CM bridging methodology for retrospective analyses. Background While the transition to ICD-10-CM has been delayed until October 2015, its impact on cancer-related studies utilizing ICD-9-CM diagnoses has been inadequately explored. Materials and Methods Three high impact journals wit

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Seare, J., J. Yang, S. Yu, and V. Zarotsky. "Building a bridge: ICD-9-CM to ICD-10-CM mapping challenges and solutions." Value in Health 17, no. 3 (2014): A187. http://dx.doi.org/10.1016/j.jval.2014.03.1094.

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McCarty, Janet, and Neela Swanson. "Are You Ready for ICD-10-CM?" ASHA Leader 17, no. 2 (2012): 3–8. http://dx.doi.org/10.1044/leader.bml2.17022012.3.

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Dissertations / Theses on the topic "ICD-10-CM"

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Butz, Jennifer Anne. "The Transition to ICD-10-CM/PCS: A Comparison of Physician and Coder Perceptions." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1428911324.

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Monestime, Judith. "ICD-10-CM Implementation Strategies: An Application of the Technology Acceptance Model." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/1909.

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The United States is one of the last countries to transition to the 10th edition of the International Classification of Diseases (ICD-10) coding system. The move from the 35-year-old system, ICD-9, to ICD-10, represents a milestone in the transformation of the 21st century healthcare industry. All covered healthcare entities were mandated to use the ICD-10 system on October 1, 2015, to justify medical necessity, an essential component in determining whether a service is payable or not. Despite the promising outcomes of this shift, more than 70% of healthcare organizations identified concerns r

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Januel, Jean-Marie. "Les données de routine des séjours d’hospitalisation pour évaluer la sécurité des patients : études de la qualité des données et perspectives de validation d’indicateurs de la sécurité des patients." Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10355/document.

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Évaluer la sécurité des patients hospitalisés constitue un enjeu majeur de la gestion des risques pour les services de santé. Le développement d’indicateurs destinés à mesurer les événements indésirables liés aux soins (EIS) est une étape cruciale dont le défi principal repose sur la performance des données utilisées. Le développement d’indicateurs de la sécurité des patients – les Patient Safety Indicators (PSIs) – par l’Agency for Healthcare Research and Quality (AHRQ) aux Etats Unis, utilisant des codes de la 9ème révision (cliniquement modifiée) de la Classification Internationale des Mala

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Teixeira, Juliana Filipa da Rocha. "Impacto da transição ICD-9-CM para a ICD-10-CM/PCS nos internamentos evitáveis em Portugal - um estudo observacional retrospetivo." Master's thesis, 2019. https://hdl.handle.net/10216/124737.

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Teixeira, Juliana Filipa da Rocha. "Impacto da transição ICD-9-CM para a ICD-10-CM/PCS nos internamentos evitáveis em Portugal - um estudo observacional retrospetivo." Dissertação, 2019. https://hdl.handle.net/10216/124737.

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Hsu, Wei-Ting, and 許瑋婷. "Automatically assigning ICD-10-CM codes for inpatients with comorbidity and complication." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/d2wr5a.

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Tien, Ming-Hui, and 田敏慧. "Implementation of ICD-10-CM/PCS at Medical Centers and Regional Hospitals in Taiwan." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/26095667146243228000.

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碩士<br>國立陽明大學<br>醫務管理研究所<br>104<br>Study Aim: The main purpose of this study was to analyze the correlation between hospitals’ and respondents’ characteristics and the attitudes toward ICD-10 implementation, as well as to identify the most difficult jobs and assistances needed at major hospitals in Taiwan. Materials and Methods: The samples of this study included all of the medical centers and district hospitals in Taiwan. A self-administered structured questionnaire was developed to collect data with response rate of 98%. Descriptive analysis and multiple regression were conducted for the purp

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Chen, Kuan-Yu, and 陳冠宇. "A Method for Automatic ICD-10-CM Coding from Clinical Free Text by using UMLS." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3rryv8.

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Novo, Ricardo Filipe Lopes. "An analysis of all hospitalization causes in mainland Portugal : evolution and the clinical coding." Master's thesis, 2021. http://hdl.handle.net/10400.14/35245.

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Analysing the evolution of all cause-specific hospitalizations at a national level provides important information that comprehends an overall representation of the country healthcare supporting researchers, healthcare managers and decision-makers to efficiently plan and allocate resources (Hoeymans et al., 2012; Rossetto et al., 2019; Swe et al., 2020). In order to delineate policies to address needs and priorities in specific population groups, it is important to assess trends and patterns throughout time by specific characteristics, such as gender and age (Krumholz et al., 2015). Additionall

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Chang, Chiu-ta, та 張久大. "探討健保推動ICD-10-CM/PCS TW-DRGs對住院支付之影響-以中部某醫學中心實際編碼為例". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/64w44j.

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碩士<br>中國醫藥大學<br>醫務管理學系碩士在職專班<br>104<br>Objective: Since January 1, 2016, the health care reporting code in Taiwan has been fully converted from ICD-9-CM(2001) to ICD-10-CM/PCS(2014). Total coding numbers of ICD-10-CM/PCS is about 8 times to ICD-9-CM coding numbers. The system structure between these two coding system is very different. It may also causes TW-DRGs changes. To estimate the impact on aggregate payments based on the TW-DRGs assigned using ICD-9-CM coded data with the ICD-9-CM version of the TW-DRGs are compared to ICD-10-CM/PCS coded date with the ICD-10-CM/PCS version of the TW-DR

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Books on the topic "ICD-10-CM"

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A, Venable Carol, and American Health Information Management Association., eds. ICD-10-CM and ICD-10-PCS preview. 2nd ed. AHIMA, 2009.

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Hazelwood, Anita C. ICD-10-CM and ICD-10-PCS preview. 2nd ed. AHIMA, 2009.

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Hazelwood, Anita C. ICD-10-CM and ICD-10-PCS preview. 2nd ed. AHIMA, 2009.

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Hazelwood, Anita C. ICD-10-CM and ICD-10-PCS preview. AHIMA, 2004.

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A, Venable Carol, ed. ICD-10-CM preview. AHIMA, 2003.

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Association, American Medical, ed. ICD-10-CM mappings 2017. Optum360, 2016.

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J, Buck Carol, ed. 2014 ICD-10-CM draft. 2nd ed. Elsevier/Saunders, 2014.

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Buck, Carol J. 2010 ICD-10-CM draft. Saunders Elsevier, 2010.

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Buck, Carol J. 2010 ICD-10-CM draft. Saunders Elsevier, 2010.

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E, Bowman Sue, American Health Information Management Association, and American Medical Association, eds. Pocket guide of ICD-10-CM and ICD-10-PCS. AHIMA, 2010.

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Book chapters on the topic "ICD-10-CM"

1

"Diseases of the Ear and Mastoid Process (H60-H95)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch08.

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"External causes of morbidity (V00-Y99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2015. http://dx.doi.org/10.1542/9781581109016-ch20.

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"Symptoms, Signs, and Abnormal Clinical and Laboratory Findings, Not Elsewhere Classified (R00-R99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch18.

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"Certain conditions originating in the perinatal period (P00-P99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2015. http://dx.doi.org/10.1542/9781581109016-ch16.

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"Diseases of the Circulatory System (I00-I99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch09.

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"Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50-D89)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2015. http://dx.doi.org/10.1542/9781581109016-ch03.

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"Congenital Malformations, Deformations and Chromosomal Abnormalities (Q00-Q99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch17.

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"Diseases of the Respiratory System (J00-J99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch10.

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"Certain Conditions Originating in the Perinatal Period (P00-P99)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2016. http://dx.doi.org/10.1542/9781610020435-ch16.

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"Diseases of the ear and mastoid process (H60-H95)." In Pediatric ICD-10-CM. American Academy of Pediatrics, 2015. http://dx.doi.org/10.1542/9781581109016-ch08.

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Conference papers on the topic "ICD-10-CM"

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Gilbert, T., H. Holmer, and K. Carlson. "0099 Validity of ICD-10-CM diagnosis codes for traumatic brain injury in VA administrative data." In Injury and Violence Prevention for a Changing World: From Local to Global: SAVIR 2021 Conference Abstracts. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/injuryprev-2021-savir.75.

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Hedegaard, Holly, and Renee Johnson. "27 Development and testing of surveillance case definitions and reporting frameworks to standardise the use of ICD-10-CM coded data for injury surveillance, epidemiology and research." In SAVIR 2017. BMJ Publishing Group Ltd, 2017. http://dx.doi.org/10.1136/injuryprev-2017-042560.27.

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Machado, José, Nicolás Lori, Ana Cecilia Coimbra, Filipe Miranda, and António Abelha. "Medical Diagnosis Classification Using WEKA." In Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100880.

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The use of data mining techniques is not new—commonly it is used in various other industries, such as financial services, marketing and manufacturing. The main goal of data mining is to find patterns in a large dataset that yield insight and expertise. Thus, in terms of healthcare, data mining methods have a wide range of uses, including diagnosing cancers, pattern recognition and prognosticating patient health outcomes. Each patient's diagnosis at the University of Porto Hospital (Centro Hospitalar Universitário Universitário do Porto) has an ICD-10-CM code. This data can be used to build a p

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Reports on the topic "ICD-10-CM"

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Hedegaard, Holly, Matthew Garnett, Renee Johnson, and Karen Thomas. A Revised ICD–10–CM Surveillance Case Definition for Injury-related Emergency Department Visits. National Center for Health Statistics (U.S.), 2021. http://dx.doi.org/10.15620/cdc:108998.

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Hedegaard, Holly, Matthew Garnett, Renee Johnson, and Karen Thomas. A Revised ICD–10–CM Surveillance Case Definition for Injury-related Emergency Department Visits. National Center for Health Statistics (U.S.), 2021. http://dx.doi.org/10.15620/cdc:109050.

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Traumatic Brain Injury: Inpatient Hospitalizations, Observation Stays, and Emergency Department Discharges, Massachusetts Residents, FFY 2016-FFY 2018. Brain Injury Association of Massachusetts (BIA-MA), 2023. http://dx.doi.org/10.58912/avve3026.

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Traumatic brain injury (TBI) is the most common type of acquired brain injury (ABI), and a major cause of death and disability. The Centers for Disease Control and Prevention (CDC) estimates the annual incidence of TBI to be 2.87 million in the United States. To estimate the magnitude of this health problem in Massachusetts, the statewide inpatient hospital, outpatient observation stays, and emergency department discharge databases were analyzed by the Massachusetts Department of Public Health (MADPH) in 2014 for the years 2008-2010, as part of a comprehensive epidemiological study of acquired

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