Development of ICD-10-TM Ontology for a Semi-automated Morbidity Coding System in Thailand

2012 ◽  
Vol 51 (06) ◽  
pp. 519-528 ◽  
Author(s):  
S. Nitsuwat ◽  
W. Paoin
Keyword(s):  
Knowledge Base ◽  
International Classification Of Diseases ◽  
Health Problems ◽  
Index Structure ◽  
Hierarchical Level ◽  
Coding System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Icd Coding

SummaryObjectives: The International Classification of Diseases and Related Health Problems, 10th Revision, Thai Modification (ICD-10-TM) ontology is a knowledge base created from the Thai modification of the World Health Organization International Classification of Diseases and Related Health Problems, 10th Revision. The objectives of this research were to develop the ICD-10-TM ontology as a knowledge base for use in a semi-automated ICD coding system and to test the usability of this system.Methods: ICD concepts and relations were identified from a tabular list and alphabetical indexes. An ICD-10-TM ontology was defined in the resource description framework (RDF), notation-3 (N3) format. All ICD-10-TM contents available as Microsoft Word documents were transformed into N3 format using Python scripts. Final RDF files were validated by ICD experts. The ontology was implemented as a knowledge base by using a novel semi-automated ICD coding system. Evaluation of usability was performed by a survey of forty volunteer users.Results: The ICD-10-TM ontology consists of two main knowledge bases (a tabular list knowledge base and an index knowledge base) containing a total of 309,985 concepts and 162,092 relations. The tabular list knowledge base can be divided into an upper level ontology, which defines hierarchical relationships between 22 ICD chapters, and a lower level ontology which defines relations between chapters, blocks, categories, rubrics and basic elements (include, exclude, synonym etc.)of the ICD tabular list. The index knowledge base describes relations between keywords, modifiers in general format and a table format of the ICD index. In this research, the creation of an ICD index ontology revealed interesting findings on problems with the current ICD index structure. One problem with the current structure is that it defines conditions that complicate pregnancy and perinatal conditions on the same hierarchical level as organ system diseases. This could mislead a coding algorithm into a wrong selection of ICD code. To prevent these coding errors by an algorithm, the ICD-10-TM index structure was modified by raising conditions complicating pregnancy and perinatal conditions into a higher hierarchical level of the index knowledge base. The modified ICD-10-TM ontology was implemented as a knowledge base in semi-automated ICD-10-TM coding software. A survey of users of the software revealed a high percentage of correct results obtained from ontology searches (> 95%) and user satisfaction on the usability of the ontology.Conclusion: The ICD-10-TM ontology is the first ICD-10 ontology with a comprehensive description of all concepts and relations in an ICD-10-TM tabular list and alphabetical index. A researcher developing an automated ICD coding system should be aware of The ICD index structure and the complexity of coding processes. These coding systems are not a word matching process. ICD-10 ontology should be used as a knowledge base in The ICD coding software. It can be used to facilitate successful implementation of ICD in developing countries, especially in those countries which do not have an adequate number of competent ICD coders.

Validation of ICD-10 codes shows intracranial venous thrombosis incidence to be higher than previously reported

2018 ◽  
Vol 49 (1) ◽  
pp. 58-61 ◽  
Author(s):  
Joel D Handley ◽  
Hedley CA Emsley
Keyword(s):  
Positive Predictive Value ◽  
Cerebral Infarction ◽  
Venous Thrombosis ◽  
Cerebral Venous Thrombosis ◽  
International Classification Of Diseases ◽  
Coding System ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
In Pregnancy

Background: Intracranial venous thrombosis (ICVT) accounts for around 0.5% of all stroke cases. There have been no previously published studies of the International Classification of Diseases, Tenth Edition (ICD-10) validation for the identification of ICVT admissions in adults. Objective: The aims of this study were to validate and quantify the performance of the ICD-10 coding system for identifying cases of ICVT in adults and to derive an estimate of incidence. Method: Administrative data were collected for all patients admitted to a regional neurosciences centre over a 5-year period. We searched for the following ICD-10 codes at any position: G08.X (intracranial and intraspinal phlebitis and thrombophlebitis), I67.6 (non-pyogenic thrombosis of intracranial venous system), I63.6 (cerebral infarction due to cerebral venous thrombosis, non-pyogenic), O22.5 (cerebral venous thrombosis in pregnancy) and O87.3 (cerebral venous thrombosis in the puerperium). Results: Sixty-five admissions were identified by at least one of the relevant ICD-10 codes. The overall positive predictive value (PPV) for confirmed ICVT from all of the admissions combined was 92.3% (60 out of 65) with the results for each code as follows: G08.X 91.5% (54 of 59), O22.5 100% (4 of 4), I67.6 100% (1 of 1), I63.6 100% (1 of 1) and O87.3 100% (1 of 1). There were 40 unique cases of ICVT over a 5-year period giving an annual incidence of ICVT of 5 per million. Conclusions: All codes gave a high PPV. Implications for practice: As demonstrated in previous studies, the incidence of ICVT may be higher than previously thought.

Administrative coding methods impact surgical site infection rates

2020 ◽  
Vol 41 (12) ◽  
pp. 1461-1463
Author(s):  
Mohammed A. Alsuhaibani ◽  
Mohammed A. Alzunitan ◽  
Kyle E. Jenn ◽  
Michael B. Edmond ◽  
Angelique M. Dains ◽  
...  
Keyword(s):  
Surgical Site Infection ◽  
International Classification Of Diseases ◽  
Site Infection ◽  
Coding System ◽  
Infection Rates ◽  
Coding Method ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
The Impact

AbstractWe performed a retrospective analysis of the impact of using the International Classification of Diseases, Tenth Revision procedure coding system (ICD-10) or current procedural terminology (CPT) codes to calculate surgical site infection (SSI) rates. Denominators and SSI rates vary depending on the coding method used. The coding method used may influence interhospital performance comparisons.

Comparing ICD-10 external cause codes for pedal cyclists with self-reported crash details

2017 ◽  
Vol 24 (2) ◽  
pp. 157-160 ◽  
Author(s):  
Ben Beck ◽  
Christina L Ekegren ◽  
Peter Cameron ◽  
Mark Stevenson ◽  
Rodney Judson ◽  
...  
Keyword(s):  
Administrative Data ◽  
International Classification Of Diseases ◽  
Coding System ◽  
Event Information ◽  
Injury Event ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Hospital Administrative ◽  
Crash Characteristics

Accurate coding of injury event information is critical in developing targeted injury prevention strategies. However, little is known about the validity of the most universally used coding system, the International Classification of Diseases (ICD-10), in characterising crash counterparts in pedal cycling events. This study aimed to determine the agreement between hospital-coded ICD-10-AM (Australian modification) external cause codes with self-reported crash characteristics in a sample of pedal cyclists admitted to hospital following bicycle crashes. Interview responses from 141 injured cyclists were mapped to a single ICD-10-AM external cause code for comparison with ICD-10-AM external cause codes from hospital administrative data. The percentage of agreement was 77.3% with a κ value of 0.68 (95% CI 0.61 to 0.77), indicating substantial agreement. Nevertheless, studies reliant on ICD-10 codes from administrative data should consider the 23% level of disagreement when characterising crash counterparts in cycling crashes.

scholarly journals Impulskontrollstörungen in der ICD-11

2021 ◽  
Author(s):  
Susanne Bründl ◽  
Johannes Fuss
Keyword(s):  
International Classification Of Diseases ◽  
Health Problems ◽  
International Classification ◽  
Classification Of Diseases ◽  
Pathologisches Glücksspiel ◽  
Icd 10

ZusammenfassungDieser Beitrag beschäftigt sich mit der Neuerung der Diagnoserichtlinien in der 11. Revision der International Classification of Diseases and Related Health Problems (ICD-11) im Kapitel der Impulskontrollstörungen. Die Diagnosen Pyromanie und Kleptomanie bleiben nahezu unverändert erhalten. Die Diagnose pathologisches Glücksspiel verliert ihren Status als Impulskontrollstörung und wird Teil des neuen Kapitels der Verhaltenssüchte. Neu im Kapitel der Impulskontrollstörungen ist die Wiederaufnahme der Diagnose intermittierende explosible Störung sowie die neue, kontrovers diskutierte Diagnose zwanghafte sexuelle Verhaltensstörung. Der Artikel stellt Änderungen der Diagnosen zwischen der ICD-11 und ihrer Vorgängerversion (ICD-10) gegenüber, greift aktuelle Diskussionen rund um das Kapitel der Impulskontrollstörungen auf und beschreibt klinische sowie forensisch relevante Implikationen der modifizierten und neu eingeführten Diagnosen.

scholarly journals A Comparison of Deep Learning Methods for ICD Coding of Clinical Records

2020 ◽  
Vol 10 (15) ◽  
pp. 5262 ◽  
Author(s):  
Elias Moons ◽  
Aditya Khanna ◽  
Abbas Akkasi ◽  
Marie-Francine Moens
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
International Classification Of Diseases ◽  
Advantages And Disadvantages ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Medical Documents ◽  
Clinical Records ◽  
Icd Coding

In this survey, we discuss the task of automatically classifying medical documents into the taxonomy of the International Classification of Diseases (ICD), by the use of deep neural networks. The literature in this domain covers different techniques. We will assess and compare the performance of those techniques in various settings and investigate which combination leverages the best results. Furthermore, we introduce an hierarchical component that exploits the knowledge of the ICD taxonomy. All methods and their combinations are evaluated on two publicly available datasets that represent ICD-9 and ICD-10 coding, respectively. The evaluation leads to a discussion of the advantages and disadvantages of the models.

scholarly journals Experiences with Coding using ICD-11: “The Codes Paint a Clearer Picture”

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Catherine Eastwood ◽  
Danielle Southern ◽  
Alicia Boxill ◽  
Malgorzata Maciszewski ◽  
Hude Quan ◽  
...  
Keyword(s):  
Classification System ◽  
International Classification Of Diseases ◽  
Large Field ◽  
Coding System ◽  
High Performing ◽  
Electronic Survey ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
User Friendly

IntroductionA high performing health data classification system requires clear, comprehensive code descriptions and user-friendly coding tools for effective coding. Coding specialists have essential specialized knowledge to contribute to the development and functionality of the 11th version of International Classification of Diseases (ICD-11) that will be released in June of 2018. Objectives and ApproachThe objective was to evaluate coding specialists’ experience of coding using ICD-11 for complete inpatient hospital charts. Mixed methods were employed for a survey and interviews. As part of a large field trial, 6 certified coding specialists underwent training to use the ICD-11 Beta Draft browser and ICD-11 Coding Tool. The coding team completed multiple coding exercises and coded over 60 charts each prior to evaluation of their experience. An electronic survey was used to evaluate ICD-11 knowledge, comprehension, and application of the coding training. Interviews explored the coders’ experience of learning and using the ICD-11 classification system. ResultsThe coding team (3 to 10 years of experience) received 14 hours classroom training and 5-10 hours per week of coding practice over 3 months. After training, perceived confidence in coding with ICD-11 was satisfactory; moderate (n=4), high (n=1), and low (n=1). Coding short scenarios was the most useful resource (n=6) and lack of guidelines was the most frustrating. Learning ICD-11 was deemed moderately (n=2) to somewhat (n=3) difficult but each coder described satisfaction in learning the new system. From the interviews, coders expressed liking the ability to more fully describe health conditions and hospital harms with code clusters. “The codes paint a clearer picture of what happened than with ICD-10”. With practice they achieved speed with the coding tools. Conclusion/ImplicationsCoding specialists learned and proficiently used the Beta Version of ICD-11 coding system with moderate perceived confidence. New ICD-11 codes and clustering functions allowed for more complete description of health scenarios and enhanced coder satisfaction.

Angststörungen – von der ICD-10 zur ICD-11

2020 ◽  
pp. 1-5
Author(s):  
Timo D. Vloet ◽  
Marcel Romanos
Keyword(s):  
Mental Disorders ◽  
International Classification Of Diseases ◽  
International Classification ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Dsm 5 ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung. Hintergrund: Nach 12 Jahren Entwicklung wird die 11. Version der International Classification of Diseases (ICD-11) von der Weltgesundheitsorganisation (WHO) im Januar 2022 in Kraft treten. Methodik: Im Rahmen eines selektiven Übersichtsartikels werden die Veränderungen im Hinblick auf die Klassifikation von Angststörungen von der ICD-10 zur ICD-11 zusammenfassend dargestellt. Ergebnis: Die diagnostischen Kriterien der generalisierten Angststörung, Agoraphobie und spezifischen Phobien werden angepasst. Die ICD-11 wird auf Basis einer Lebenszeitachse neu organisiert, sodass die kindesaltersspezifischen Kategorien der ICD-10 aufgelöst werden. Die Trennungsangststörung und der selektive Mutismus werden damit den „regulären“ Angststörungen zugeordnet und können zukünftig auch im Erwachsenenalter diagnostiziert werden. Neu ist ebenso, dass verschiedene Symptomdimensionen der Angst ohne kategoriale Diagnose verschlüsselt werden können. Diskussion: Die Veränderungen im Bereich der Angsterkrankungen umfassen verschiedene Aspekte und sind in der Gesamtschau nicht unerheblich. Positiv zu bewerten ist die Einführung einer Lebenszeitachse und Parallelisierung mit dem Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Schlussfolgerungen: Die entwicklungsbezogene Neuorganisation in der ICD-11 wird auch eine verstärkte längsschnittliche Betrachtung von Angststörungen in der Klinik sowie Forschung zur Folge haben. Damit rückt insbesondere die Präventionsforschung weiter in den Fokus.

Depression

2017 ◽  
Author(s):  
Philip Cowen
Keyword(s):  
International Classification Of Diseases ◽  
Behavioural Therapy ◽  
Historical Background ◽  
Cognitive Behavioural ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Diagnosis And Classification ◽  
Modern Experience ◽  
Symptoms And Signs

This chapter discusses the symptomatology, diagnosis, and classification of depression. It begins with a brief historical background on depression, tracing its origins to the classical term ‘melancholia’ that describes symptoms and signs now associated with modern concepts of the condition. It then considers the phenomenology of the modern experience of depression, its diagnosis in the operational scheme of ICD-10 (International Classification of Diseases, tenth edition), and current classificatory schemes. It looks at the symptoms needed to meet the criteria for ‘depressive episode’ in ICD-10, as well as clinical features of depression with ‘melancholic’ features or ‘somatic depression’ in ICD-10. It also presents an outline of the clinical assessment of an episode of depression before concluding with an overview of issues that need to be taken into account when addressing approaches to treatment, including cognitive behavioural therapy and the administration of antidepressants.

scholarly journals Neue Terminologie für Sprachentwicklungsstörungen?

2021 ◽  
Author(s):  
K. Neumann ◽  
B. Arnold ◽  
A. Baumann ◽  
C. Bohr ◽  
H. A. Euler ◽  
...  
Keyword(s):  
International Classification Of Diseases ◽  
International Classification ◽  
International Classification Of Disease ◽  
Diagnostik Und Therapie ◽  
Classification Of Diseases ◽  
Icd 10

Zusammenfassung Hintergrund Sprachtherapeutisch-linguistische Fachkreise empfehlen die Anpassung einer von einem internationalen Konsortium empfohlenen Änderung der Nomenklatur für Sprachstörungen im Kindesalter, insbesondere für Sprachentwicklungsstörungen (SES), auch für den deutschsprachigen Raum. Fragestellung Ist eine solche Änderung in der Terminologie aus ärztlicher und psychologischer Sicht sinnvoll? Material und Methode Kritische Abwägung der Argumente für und gegen eine Nomenklaturänderung aus medizinischer und psychologischer Sicht eines Fachgesellschaften- und Leitliniengremiums. Ergebnisse Die ICD-10-GM (Internationale statistische Klassifikation der Krankheiten und verwandter Gesundheitsprobleme, 10. Revision, German Modification) und eine S2k-Leitlinie unterteilen SES in umschriebene SES (USES) und SES assoziiert mit anderen Erkrankungen (Komorbiditäten). Die USES- wie auch die künftige SES-Definition der ICD-11 (International Classification of Diseases 11th Revision) fordern den Ausschluss von Sinnesbehinderungen, neurologischen Erkrankungen und einer bedeutsamen intellektuellen Einschränkung. Diese Definition erscheint weit genug, um leichtere nonverbale Einschränkungen einzuschließen, birgt nicht die Gefahr, Kindern Sprach- und weitere Therapien vorzuenthalten und erkennt das ICD(International Classification of Disease)-Kriterium, nach dem der Sprachentwicklungsstand eines Kindes bedeutsam unter der Altersnorm und unterhalb des seinem Intelligenzalter angemessenen Niveaus liegen soll, an. Die intendierte Ersetzung des Komorbiditäten-Begriffs durch verursachende Faktoren, Risikofaktoren und Begleiterscheinungen könnte die Unterlassung einer dezidierten medizinischen Differenzialdiagnostik bedeuten. Schlussfolgerungen Die vorgeschlagene Terminologie birgt die Gefahr, ätiologisch bedeutsame Klassifikationen und differenzialdiagnostische Grenzen zu verwischen und auf wertvolles ärztliches und psychologisches Fachwissen in Diagnostik und Therapie sprachlicher Störungen im Kindesalter zu verzichten.

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