scholarly journals Leveraging the NLM map from SNOMED CT to ICD-10-CM to facilitate adoption of ICD-10-CM

2015 ◽  
Vol 22 (3) ◽  
pp. 659-670 ◽  
Author(s):  
F Phil Cartagena ◽  
Molly Schaeffer ◽  
Dorothy Rifai ◽  
Victoria Doroshenko ◽  
Howard S Goldberg
Keyword(s):  
Web Services ◽  
User Interfaces ◽  
Clinical Encounter ◽  
Problem List ◽  
Snomed Ct ◽  
Coverage Ratio ◽  
Analysis And Design ◽  
Mapping Rules ◽  
Icd 10 ◽  
High Level

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 algorithm. Results The Partners ICD-10-CM Search and Mapping Services (PI-10 Services) are SOAP web services written using Microsoft's.NET 4.0 Framework, Windows Communications Framework, and SQL Server 2012. The services cover 96% of the Partners problem list subset of SNOMED CT codes that map to ICD-10-CM codes and can return up to 76% of the 69 823 billable ICD-10-CM codes prior to creation of custom mapping rules. Discussion We consider ways to increase 1) the coverage ratio of the Partners problem list subset of SNOMED CT codes and 2) the upper bound of returnable ICD-10-CM codes by creating custom mapping rules. Future work will investigate the utility of the transitive closure of SNOMED CT codes and other methods to assist in custom rule creation and, ultimately, to provide more complete coverage of ICD-10-CM codes. Conclusions ICD-10-CM will be easier for clinicians to manage if applications display short lists of candidate codes from which clinicians can subsequently select a code for further refinement. The PI-10 Services support ICD-10 migration by implementing this paradigm and enabling users to consistently and accurately find the best ICD-10-CM code(s) without translation from ICD-9-CM.

scholarly journals Integration of Postcoordination Content into a Clinical Interface Terminology to Support Administrative Coding

2019 ◽  
Vol 10 (01) ◽  
pp. 051-059
Author(s):  
Eric Rose ◽  
Steven Rube ◽  
Andrew Kanter ◽  
Matthew Cardwell ◽  
Frank Naeymi-Rad
Keyword(s):  
Health Care ◽  
User Interfaces ◽  
Health Care Services ◽  
Clinical Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
The United States ◽  
Snomed Ct ◽  
Coding Systems ◽  
Icd 10

Background Clinical interface terminologies (CITs) consist of terms designed for clinical documentation and, through mappings to standardized vocabularies, to support secondary uses of patient data, including clinical decision support, quality measurement, and billing for health care services. The latter purpose requires maps to administrative coding systems, such as the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), for diagnoses in the United States. Objectives The transition from ICD-9-CM to ICD-10-CM posed a challenge to CIT users due to the substantially increased details in ICD-10-CM. To address this, we developed a content layer within a CIT that provides postcoordination prompts for the details required for accurate ICD-10-CM coding. Methods We developed content to support prompting for and capture of additional information specified by the user in a single, clinically relevant term that is added to the patient's record, and whose mapping to other coding systems (like Systematized Nomenclature of Medicine—Clinical Terms [SNOMED CT]) reflects the details added during postcoordination. We worked with clinical information system developers to incorporate this into user interfaces, and with end-users to refine the design. Results While the prompts were designed around the precoordinated elements implicit in ICD-10-CM, irregularities in ICD-10-CM required some additional design measures, such as providing postcoordination options that interpolate gaps in ICD-10-CM to avoid user confusion. The system we describe has been implemented by ∼30,000 health care provider organizations, with content that covers the vast majority of encounter diagnoses. User feedback has been largely positive, though concerns have been raised about expanding postcoordination content beyond that required for ICD-10-CM coding. Conclusion We have demonstrated the design and development of what, to our knowledge, is the first system that uses postcoordination to capture ICD-10-CM-relevant details in a CIT while also reflecting the details added by the user in maps to other vocabularies.

scholarly journals Two algorithms for the reorganisation of the problem list by organ system

2019 ◽  
Vol 26 (1) ◽  
pp. e100024
Author(s):  
Daniel B Hier ◽  
Joshua Pearson
Keyword(s):  
Signs And Symptoms ◽  
International Classification Of Diseases ◽  
Organ System ◽  
General Category ◽  
Problem List ◽  
Snomed Ct ◽  
Unique Problem ◽  
Organ Systems ◽  
Icd 10 ◽  
Problem Lists

ObjectiveLong problem lists can be challenging to use. Reorganisation of the problem list by organ system is a strategy for making long problem lists more manageable.MethodsIn a small-town primary care setting, we examined 4950 unique problem lists over 5 years (24 033 total problems and 2170 unique problems) from our electronic health record. All problems were mapped to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) and SNOMED CT codes. We developed two different algorithms for reorganising the problem list by organ system based on either the ICD-10-CM or the SNOMED CT code.ResultsThe mean problem list length was 4.9±4.6 problems. The two reorganisation algorithms allocated problems to one of 15 different categories (12 aligning with organ systems). 26.2% of problems were assigned to a more general category of ‘signs and symptoms’ that did not correspond to a single organ system. The two algorithms were concordant in allocation by organ system for 90% of the unique problems. Since ICD-10-CM is a monohierarchic classification system, problems coded by ICD-10-CM were assigned to a single category. Since SNOMED CT is a polyhierarchical ontology, 19.4% of problems coded by SNOMED CT were assigned to multiple categories.ConclusionReorganisation of the problem list by organ system is feasible using algorithms based on either ICD-10-CM or SNOMED CT codes, and the two algorithms are highly concordant.

A Two Phases Self-healing Framework for Service-oriented Systems

2021 ◽  
Vol 15 (2) ◽  
pp. 1-25
Author(s):  
Amal Alhosban ◽  
Zaki Malik ◽  
Khayyam Hashmi ◽  
Brahim Medjahed ◽  
Hassan Al-Ababneh
Keyword(s):  
Web Services ◽  
A Priori ◽  
Fault Management ◽  
Service Selection ◽  
Exception Handling ◽  
Self Healing ◽  
Service Oriented Architectures ◽  
Service Oriented ◽  
Improved Performance ◽  
High Level

Service-Oriented Architectures (SOA) enable the automatic creation of business applications from independently developed and deployed Web services. As Web services are inherently a priori unknown, how to deliver reliable Web services compositions is a significant and challenging problem. Services involved in an SOA often do not operate under a single processing environment and need to communicate using different protocols over a network. Under such conditions, designing a fault management system that is both efficient and extensible is a challenging task. In this article, we propose SFSS, a self-healing framework for SOA fault management. SFSS is predicting, identifying, and solving faults in SOAs. In SFSS, we identified a set of high-level exception handling strategies based on the QoS performances of different component services and the preferences articled by the service consumers. Multiple recovery plans are generated and evaluated according to the performance of the selected component services, and then we execute the best recovery plan. We assess the overall user dependence (i.e., the service is independent of other services) using the generated plan and the available invocation information of the component services. Due to the experiment results, the given technique enhances the service selection quality by choosing the services that have the highest score and betters the overall system performance. The experiment results indicate the applicability of SFSS and show improved performance in comparison to similar approaches.

scholarly journals Generating Collaborative Systems for Digital Libraries: a Model-Driven Approach

2010 ◽  
Vol 29 (4) ◽  
pp. 171 ◽  
Author(s):  
Alessio Malizia ◽  
Paolo Bottoni ◽  
S. Levialdi
Keyword(s):  
Digital Library ◽  
User Interfaces ◽  
Digital Libraries ◽  
Automatic Generation ◽  
Visual Language ◽  
Domain Experts ◽  
Model Driven ◽  
Neutral Models ◽  
Definition Of ◽  
High Level

The design and development of a digital library involves different stakeholders, such as: information architects, librarians, and domain experts, who need to agree on a common language to describe, discuss, and negotiate the services the library has to offer. To this end, high-level, language-neutral models have to be devised. Metamodeling techniques favor the definition of domainspecific visual languages through which stakeholders can share their views and directly manipulate representations of the domain entities. This paper describes CRADLE (Cooperative-Relational Approach to Digital Library Environments), a metamodel-based framework and visual language for the definition of notions and services related to the development of digital libraries. A collection of tools allows the automatic generation of several services, defined with the CRADLE visual language, and of the graphical user interfaces providing access to them for the final user. The effectiveness of the approach is illustrated by presenting digital libraries generated with CRADLE, while the CRADLE environment has been evaluated by using the cognitive dimensions framework.

scholarly journals Understanding of Emotional States in Persons with Pedophilia / Pedophilic Disorder

2018 ◽  
Vol 7 (3) ◽  
pp. 84-99
Author(s):  
L.Y. Demidova ◽  
N.V. Dvoryanchikov
Keyword(s):  
Emotional Regulation ◽  
Mental States ◽  
Control Group ◽  
Emotional States ◽  
Sexual Crimes ◽  
Sexual Drive ◽  
Emotional Perception ◽  
Wide Range ◽  
Icd 10 ◽  
High Level

This article highlights the problem of emotional perception in pedophilia (ICD-10) / pedophilia disorder (ICD-11). In present paper, emotional perception is considered as abilities of recognizing and identifying a wide range of mental states like emotions, affects, moods, feelings. The assumption about relations of alexithymia and disturbances in the recognition of emotions, perspective taking, empathy with pedophilia and regulatory mechanisms of activity verified empirically. Two groups of persons accused of sexual crimes are compared: 44 people with pedophilia, 32 people without the disorder; also 95 persons who haven't been accused were examined for the control group; as well intra-group comparison of pedophilic persons with egosyntonic and egodystonic attitude toward sexual drive was made. Contradictions of earlier studies are resolved in the result: it is shown that in pedophilia the ability of understanding emotional states remains normal at first sight (in comparison with the deficits found in the accused without pedophilia). However, the group with pedophilia is characterized by extremely high level of alexithymia and based on this the consistently conclusion is made about disturbances of emotional regulation in egosyntonic form of this disorder.

scholarly journals Simplified and Accurate Stiffness of a Prismatic Anisotropic Thin-Walled Box

2018 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Giacomo Canale ◽  
Felice Rubino ◽  
Paul M. Weaver ◽  
Roberto Citarella ◽  
Angelo Maligno
Keyword(s):  
Cross Sections ◽  
Torsional Stiffness ◽  
Element Analysis ◽  
Cross Sectional ◽  
Analysis And Design ◽  
Proposed Model ◽  
Vertical Walls ◽  
Thin Walled ◽  
High Level ◽  
Realistic Geometries

Background:Beam models have been proven effective in the preliminary analysis and design of aerospace structures. Accurate cross sectional stiffness constants are however needed, especially when dealing with bending, torsion and bend-twist coupling deformations. Several models have been proposed in the literature, even recently, but a lack of precision may be found when dealing with a high level of anisotropy and different lay-ups.Objective:A simplified analytical model is proposed to evaluate bending and torsional stiffness of a prismatic, anisotropic, thin-walled box. The proposed model is an extension of the model proposed by Lemanski and Weaver for the evaluation of the bend-twist coupling constant.Methods:Bending and torsional stiffness are derived analytically by using physical reasoning and by applying bending and torsional stiffness mathematic definition. Unitary deformations have been applied when evaluation forces and moments arising on the cross section.Results:Good accuracy has been obtained for structures with different geometries and lay-ups. The model has been validated with respect to finite element analysis. Numerical results are commented upon and compared with other models presented in literature.Conclusion:For cross sections with a high level of anisotropy, the accuracy of the proposed formulation is within 2% for bending stiffness and 6% for torsional stiffness. The percentage of error is further reduced for more realistic geometries and lay-ups.The proposed formulation gives accurate results for different dimensions and length rations of horizontal and vertical walls.

scholarly journals The German Corona Consensus Dataset (GECCO): A standardized dataset for COVID-19 research

2020 ◽  
Author(s):  
Julian Sass ◽  
Alexander Bartschke ◽  
Moritz Lehne ◽  
Andrea Essenwanger ◽  
Eugenia Rinaldi ◽  
...  
Keyword(s):  
Data Exchange ◽  
Professional Associations ◽  
Case Report Form ◽  
Snomed Ct ◽  
University Hospitals ◽  
Research Activity ◽  
Response Options ◽  
Core Dataset ◽  
Icd 10 ◽  
Data Elements

Background: The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing segmentation of information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce the "German Corona Consensus Dataset" (GECCO), a uniform dataset that uses international terminologies and health IT standards to improve interoperability of COVID-19 data. Methods: Based on previous work (e.g., the ISARIC-WHO COVID-19 case report form) and in coordination with experts from university hospitals, professional associations and research initiatives, data elements relevant for COVID-19 research were collected, prioritized and consolidated into a compact core dataset. The dataset was mapped to international terminologies, and the Fast Healthcare Interoperability Resources (FHIR) standard was used to define interoperable, machine-readable data formats. Results: A core dataset consisting of 81 data elements with 281 response options was defined, including information about, for example, demography, anamnesis, symptoms, therapy, medications or laboratory values of COVID-19 patients. Data elements and response options were mapped to SNOMED CT, LOINC, UCUM, ICD-10-GM and ATC, and FHIR profiles for interoperable data exchange were defined. Conclusion: GECCO provides a compact, interoperable dataset that can help to make COVID-19 research data more comparable across studies and institutions. The dataset will be further refined in the future by adding domain-specific extension modules for more specialized use cases.

scholarly journals An exploration of the properties of the CORE problem list subset and how it facilitates the implementation of SNOMED CT

2015 ◽  
Vol 22 (3) ◽  
pp. 649-658 ◽  
Author(s):  
Kin Wah Fung ◽  
Julia Xu
Keyword(s):  
Electronic Health Records ◽  
Growth Pattern ◽  
Problem List ◽  
Snomed Ct ◽  
Health Records ◽  
The Core ◽  
Core Subset ◽  
Electronic Health ◽  
Systematized Nomenclature Of Medicine ◽  
Core Problem

Abstract Objective Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is the emergent international health terminology standard for encoding clinical information in electronic health records. The CORE Problem List Subset was created to facilitate the terminology’s implementation. This study evaluates the CORE Subset’s coverage and examines its growth pattern as source datasets are being incorporated. Methods Coverage of frequently used terms and the corresponding usage of the covered terms were assessed by “leave-one-out” analysis of the eight datasets constituting the current CORE Subset. The growth pattern was studied using a retrospective experiment, growing the Subset one dataset at a time and examining the relationship between the size of the starting subset and the coverage of frequently used terms in the incoming dataset. Linear regression was used to model that relationship. Results On average, the CORE Subset covered 80.3% of the frequently used terms of the left-out dataset, and the covered terms accounted for 83.7% of term usage. There was a significant positive correlation between the CORE Subset’s size and the coverage of the frequently used terms in an incoming dataset. This implies that the CORE Subset will grow at a progressively slower pace as it gets bigger. Conclusion The CORE Problem List Subset is a useful resource for the implementation of Systematized Nomenclature of Medicine Clinical Terms in electronic health records. It offers good coverage of frequently used terms, which account for a high proportion of term usage. If future datasets are incorporated into the CORE Subset, it is likely that its size will remain small and manageable.

High-Level User Interfaces for the DOE ACTS Collection

2007 ◽  
pp. 251-259 ◽  
Author(s):  
L. Anthony Drummond ◽  
Vicente Galiano ◽  
Violeta Migallón ◽  
José Penadés
Keyword(s):  
User Interfaces ◽  
High Level

Supporting Accessible User Interfaces Using Web Services

2016 ◽  
pp. 866-884
Author(s):  
Georgios Bouloukakis ◽  
Ioannis Basdekis ◽  
Constantine Stephanidis
Keyword(s):  
Web Services ◽  
User Interfaces ◽  
Web Applications ◽  
Automatic Generation ◽  
Individual Characteristics ◽  
Web Content ◽  
Interface Elements ◽  
Accessibility Guidelines ◽  
Content Accessibility ◽  
The Web

Web services are an emerging technology that has attracted much attention from both the research and the industry sectors in recent years. The exploitation of Web services as components in Web applications facilitates development and supports application interoperability, regardless of the programming language and platform used. However, existing Web services development standards do not take into account the fact that the provided content and the interactive functionality should be accessible to, and easily operable by, people with disabilities. This chapter presents a platform named myWebAccess, which provides a mechanism for the semi-automated “repair” of Web services' interaction characteristics in order to support the automatic generation of interface elements that conform to the de facto standard of the Web Content Accessibility Guidelines 2.0. myWebAccess enhances interaction quality for specific target user groups, including people with visual and motor disabilities, and supports the use of Web services on diverse platforms (e.g., mobile phones equipped with a browser). The Web developers can build their own design templates and the users of myWebAccess can create a personalized environment containing their favourite services. Thus, they can interact with them through interfaces appropriate to their specific individual characteristics.

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