Overview of ICD-11 architecture and structure.

BACKGROUND: The International Classification of Diseases (ICD) has progressed from a short list of causes of death to become the predominant classification of human diseases, syndromes, and conditions around the world. The World Health Organization has now explored how the ICD could be revised to leverage the advances in computer science, ontology, and knowledge representation that had accelerated in the twentieth and early twenty-first centuries. METHODS: Many teams of clinical specialists and domain leaders worked to fundamentally revise the science and knowledge base of ICD-11. Development of the ICD-11 architecturally was a fundamental revision. The architecture for ICD-11 proposed in 2007 included three layers: a semantic network of biomedical concepts (Foundation), a traditional tabulation of hierarchical codes that would derive from that network (Linearization), and a formal ontology that would anchor the meaning of terms in the semantic network. Additionally, each entry in the semantic network would have an associated information model of required and optional content (Content Model). RESULTS: This paper describes the innovative architecture developed for ICD-11. CONCLUSION: ICD11 is a revolutionary transformation of a century long medical classification that retains is historical rendering and interface while expanding the opportunity for multiple linearization and underpinning its content with a formally constructed semantic network. The new artifact can enable modern data science and analyses with content encoded with ICD11.

Linking Health Terminologies: A Unified Approach to the WHO Family of International Classifications.

This paper presents an effort by the World Health Organization (WHO) to integrate the reference classifications of the Family of International Classifications (ICD, ICF, and ICHI) into a unified digital framework. The integration was accomplished via an expanded Content Model and a single Foundation that hosts all entities from these classifications, allowing the traditional use cases of individual classifications to be retained while enhancing their combined use. The harmonized WHO-FIC Content Model and the unified Foundation has streamlined the content management, enhanced the web-based tool functionalities, and provided opportunities for linkage with external terminologies and ontologies. This integration promises reduced maintenance cost, seamless joint application, complete representation of health-related concepts while enabling better interoperability with other informatics infrastructures.

Attitudes and perceptions of medical and dental students on the implementation of non-surgical facial aesthetics in their curricula.

There is an accelerated demand for non-surgical facial aesthetics (NSFA) encompassing the use of botulinum toxin and dermal fillers. Healthcare professionals may either treat NSFA-related complications in the public sector or practise in the private sector. Currently, there is no standardised undergraduate teaching in the UK to educate healthcare professionals on NSFA. The aim of our study was to compare medical and dental undergraduate students' perceptions and awareness of NSFA, and to understand its role if implemented in each curriculum in the UK. An online questionnaire was devised and distributed via social media platforms to medical and dental students across the UK. Student responses were anonymised and collated as quantitative data, and subsequently analysed. Of the 146 respondents, 89% had no previous teaching on NSFA. Ninety-three per cent of medics and 75% of dentists agreed or strongly agreed that non-surgical aestheticians require dental or medical knowledge to deliver NSFA, and 66% of medics and 75% of dentists agreed or strongly agreed that NSFA should be incorporated into the undergraduate curriculum. Only 7% of medics and 8% of dentists were aware of the steps required to practise NSFA. Incoming doctors and dentists are showing interest in the field yet have no formal teaching in the area. Requiring healthcare professionals to have some baseline understanding of NSFA and its associated complications means that implementing formal education on the subject in the medical and dental curricula is an important consideration.

Preliminary Validation of a Rule-Based System for Mortality Coding Using ICD-11.

A crucial process for world-level mortality statistics is the capability to identify the underlying cause of death from death certificates. Currently such certificates are coded using ICD-10. The selection of the underlying cause is done by means of semi-automated rule-based systems. However, starting from 2022, countries should begin to adopt ICD-11, for which no system is already available. The present paper describes the architecture of a novel system for automated UC selection, with classification-independent rules, and its preliminary validation on two sets of death certificates coded with ICD-10 and ICD-11.

Integration of International Classification of Diseases Version 11 Application Program Interface (API) in the Rwandan Electronic Medical Records (openMRS): Findings from Two District Hospitals in Rwanda.

World Health Organisation (WHO) has updated the International Classification of Diseases to version 11 (ICD-11) which was recently adopted for use by countries in 2019. ICD-11 can be used in Electronic Medical Records (EMR) systems with support of extended technologies like Application Program Interface (API). Integration of ICD-11 in Rwandan EMR (OpenMRS) in two health facilities was conducted in July-October 2019. Findings indicated that adapting ICD11-API in EMR is feasible. More than 50% of diagnoses were recorded using ICD-11. Healthcare providers perceived ICD-11 API as easy to learn and useful for harmonization of diagnosis, data reporting and insurance reimbursement. Integration of ICD-11 API in EMR can be scaled up to all hospitals for use in Rwanda and other countries using similar system.

Piloting a Collaborative Web-Based System for Testing ICD-11.

BACKGROUND: The 11th revision of the International Classification of Diseases (ICD-11), for the first time in ICD history, deployed web-based collaboration of experts and ICT tools. To ensure that ICD-11 is working well, it needs to be systematically field tested in different settings, across the world. This will be done by means of a number of experiments. In order to support its implementation, a web-based system (ICDfit) has been designed and developed. The present paper illustrates the current prototype of the system and its technical testing. METHODS: the system has been designed according to WHO requirements, and implemented using PHP and MySQL. Then, a preliminary technical test has been designed and run in January 2016, involving 8 users. They had to carry out double coding, that is, coding case summaries with both ICD-10 and ICD-11, and answering quick questions on the coding difficulty. RESULTS: the 8 users coded 632 cases each, spending an average of 163 seconds per case. While we found an issue in the mechanism used to record coding times, no further issues were found. CONCLUSION: the proposed system seems to be technically adequate for supporting future ICD-11 testing.

Social network integration of the ICD11 revision platform.

Classification revision and update can be defined as a social experience, with the participating community of experts behaving like a social network. ICD11 is being revised using an innovative web based process, for which we envisioned also tools for social platforms integration. The present poster preliminarily describes the Facebook tools developed for soliciting expert and participation in the ICD11 revision process.

Representing the ClaML-based ICD10 in LexGrid terminology model.

As part of the International Classification of Disease (ICD) revision platform development tasks, the representation of the ICD10 in a formal terminology model is required. The ICD10 is originally rendered by the World Health Organization (WHO) in the Classification Markup Language (CLaML) format which is a European Standard for representing the content of medical classification systems. In this study, we explored representing the CLaML-based ICD10 in the LexGrid terminology model, a community based proposal for standard storage of controlled vocabularies and ontologies. The decision we made for mapping between two models and the merits for utilizing the LexGrid terminology model and service are discussed.