Linking a Medical Vocabulary to a Clinical Data Model using Abstract Syntax Notation 1

1998 ◽  
Vol 37 (04/05) ◽  
pp. 440-452 ◽  
Author(s):  
R. A. Rocha ◽  
H. R. Solbrig ◽  
M. W. Barnes ◽  
S. P. Schrank ◽  
M. Smith ◽  
...  
Keyword(s):  
Clinical Data ◽  
Data Model ◽  
Clinical Information System ◽  
Clinical Information ◽  
Abstract Syntax ◽  
Data Types ◽  
Clinical Model ◽  
Semantic Relationships ◽  
Important Intermediate ◽  
Clinical Data Model

AbstractWe have created a clinical data model using Abstract Syntax Notation 1 (ASN.l). The clinical model is constructed from a small number of simple data types that are built into data structures of progressively greater complexity. Important intermediate types include Attributes, Observations, and Events. The highest level elements in the model are messages that are used for inter-process communication within a clinical information system. Vocabulary is incorporated into the model using BaseCoded, a primitive data type that allows vocabulary concepts and semantic relationships to be referenced using standard ASN.l notation. ASN.l subtyping language was useful in preventing unbounded proliferation of object classes in the model, and in general, ASN.l was found to be a flexible and robust notation for representing a model of clinical information.

scholarly journals A novel tool for standardizing clinical data in a realism-based common data model

2020 ◽  
Author(s):  
Hayden G. Freedman ◽  
Heather Williams ◽  
Mark A. Miller ◽  
David Birtwell ◽  
Danielle L. Mowery ◽  
...  
Keyword(s):  
Clinical Data ◽  
Data Model ◽  
Clinical Information ◽  
Clinical Situation ◽  
Common Data Model ◽  
Full Potential ◽  
Semantic Web Technologies ◽  
High Quality Research ◽  
Rdf Data ◽  
Clinical Data Model

AbstractStandardizing clinical information in a common data model is important for promoting interoperability and facilitating high quality research. Semantic Web technologies such as Resource Description Framework can be utilized to their full potential when a clinical data model accurately reflects the reality of the clinical situation it describes. To this end, the Open Biomedical Ontologies Foundry provides a set of ontologies that conform to the principles of realism and can be used to create a realism-based clinical data model. However, the challenge of programmatically defining such a model and loading data from disparate sources into the model has not been addressed by pre-existing software solutions. The PennTURBO Semantic Engine is a tool developed at the University of Pennsylvania that works in conjunction with data aggregation software to transform source-specific RDF data into a source-independent, realism-based data model. This system sources classes from an application ontology and specifically defines how instances of those classes may relate to each other. Additionally, the system defines and executes RDF data transformations by launching dynamically generated SPARQL update statements. The Semantic Engine was designed as a generalizable RDF data standardization tool, and is able to work with various data models and incoming data sources. Its human-readable configuration files can easily be shared between institutions, providing the basis for collaboration on a standard realism-based clinical data model.

scholarly journals A nursing clinical data model for neuromuscular processes: content analysis of the Portuguese nursing customization

2019 ◽  
Vol 24 (5) ◽  
pp. 1609-1616
Author(s):  
Hugo Neves ◽  
Paulo Parente
Keyword(s):  
Content Analysis ◽  
Clinical Data ◽  
Data Model ◽  
Nursing Practice ◽  
Clinical Findings ◽  
Negative Judgment ◽  
Definition Of ◽  
Nursing Clinical ◽  
Clinical Data Model

Abstract This study targets the development of a nursing clinical data model for neuromuscular processes. To achieve this purpose, content analysis based on Bardin’s perspective was performed on the Portuguese nursing local customizations regarding neuromuscular processes, with the International Classification for Nursing Practice concepts and the ISO 18104:2014 used as encoding rules. From analysis of the data, a total of 1766 diagnoses were related to neuromuscular processes. After application of exclusion criteria, a corpus with a total of 900 diagnoses was subjected to content analysis. After application of the encoding rules, a total of 81 context units were obtained, and through an inductive approach, were defined into three categories: clinical findings (e.g. aphasia); negative judgment diagnoses (e.g. impaired communication); transition properties (e.g. preparation and knowledge). These interpretations were validated by experts in the field. This study not only demonstrates the need to standardize data, but also the importance of neuromuscular processes in nursing practice. We hope this study will guide the definition of a nursing clinical data model that will help in increasing complexity in the level of care provided with high impact in the patient’s quality of life.

scholarly journals Nursing Process Addressing the Nursing Focus “Hallucination”: A Scoping Review

2019 ◽  
pp. 105477381987753
Author(s):  
Patrícia Daniela Barata Gonçalves ◽  
Francisco Miguel Correia Sampaio ◽  
Carlos Alberto da Cruz Sequeira ◽  
Maria Antónia Taveira da Cruz Paiva e Silva
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Clinical Data ◽  
Nursing Care ◽  
Data Model ◽  
Care Quality ◽  
Nursing Process ◽  
Scoping Reviews ◽  
Nursing Care Quality ◽  
Clinical Data Model

Although hallucinations are prevalent in psychiatric disorders, such as psychosis or dementia, no studies were to be found in literature about the nursing process addressing the focus “Hallucination”. This literature review, which is integrated with a scoping study framework, was performed to determine a clinical data model addressing the focus “Hallucination”. PRISMA checklist for scoping reviews was followed. From the total of 328 papers found, 32 were selected. The findings of this review were summarized according to the nursing process addressing the focus “Hallucination”. These findings led to determine a clinical data model addressing the focus “Hallucination”, comprising the elements of the nursing process. This clinical data model may contribute toward improving nursing decision-making and nursing care quality in relation to a client suffering from hallucination, as well as contribute toward producing more reliable nursing-sensitive indicators.

scholarly journals Structuring Clinical Data for Improving Departmental Functionality

ACI Open ◽  
2020 ◽  
Vol 04 (01) ◽  
pp. e44-e47
Author(s):  
Elliot M. Levine
Keyword(s):  
Information System ◽  
Performance Improvement ◽  
Clinical Data ◽  
Clinical Information System ◽  
Clinical Performance ◽  
Clinical Information ◽  
Structured Data ◽  
Obstetrics And Gynecology ◽  
Departmental Activity

AbstractA practical clinical information system used in a hospital's Department of Obstetrics and Gynecology is described, demonstrating its utility to automatically provide required regulatory reports and potential clinical performance improvement, in an easy-to-use way. Its use demonstrates how physician's workflow can be left unimpeded, while centralizing scribe activity to translate textually based documentation to structured data, to improve functionality within its departmental activity. The ability to easily view clinical trends from the collected data continues to demonstrate the value of structured data.

Development of a clinical data warehouse from an intensive care clinical information system

2012 ◽  
Vol 105 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Marleen de Mul ◽  
Peter Alons ◽  
Peter van der Velde ◽  
Ilse Konings ◽  
Jan Bakker ◽  
...  
Keyword(s):  
Information System ◽  
Intensive Care ◽  
Data Warehouse ◽  
Clinical Data ◽  
Clinical Information System ◽  
Clinical Information ◽  
Clinical Data Warehouse

An Automated Clinical Information System

1964 ◽  
Vol 3 (02) ◽  
pp. 45-50 ◽  
Author(s):  
D. Yoder ◽  
R. Swearingen ◽  
E. Schenthal ◽  
W. Sweeney ◽  
J. Nettleton
Keyword(s):  
Natural Language ◽  
Clinical Information System ◽  
Drug Evaluation ◽  
Scientific Information ◽  
Clinical Information ◽  
Clinical Situation ◽  
Field Variable ◽  
Record System ◽  
New Members ◽  
Clinical Terminology

An automated clinical record system must have the following characteristics: as far as the physician is concerned it must operate in natural language on standard sized paper; it must be able to accept information from the physician at a time when he is oriented to clinical terminology and a clinical mode of thinking; it must have an output which is clinically useful for the care and management of a patient; each item of information must be addressable so that it may act as an index for scientific information retrieval; it must be capable of accepting quantative and natural language information.Clinical information constitutes a mathematical set, only a few members of which are applicable to any particular clinical situation, and to which new members are constantly being added. The members of this set are seldom mutually exclusive. An acceptable system which is capable of processing this type of information has been designed utilizing the concepts of self-encoding forms and variable-field, variable-length records. Applications of these principles will expedite hospital automation, the establishment of drug evaluation information systems, and of regional and nationwide medical record systems.

A Computer-based Clinical Information System

1987 ◽  
Vol 26 (04) ◽  
pp. 189-194
Author(s):  
S. S. El-Gamal
Keyword(s):  
Information System ◽  
Hospital Information System ◽  
Clinical Information System ◽  
Research Work ◽  
Clinical Information ◽  
Hospital Staff ◽  
Vital Role ◽  
Daily Routine ◽  
Specialized Hospital ◽  
Computer Based

SummaryModern information technology offers new opportunities for the storage and manipulation of hospital information. A computer-based hospital information system, dedicated to urology and nephrology, was designed and developed in our center. It involves in principle the employment of a program that allows the analysis of non-restricted, non-codified texts for the retrieval and processing of clinical data and its operation by non-computer-specialized hospital staff.This Hospital Information System now plays a vital role in the efficient provision of a good quality service and is used in daily routine and research work in this hospital. This paper describes this specialized Hospital Information System.

Sistem Integrasi Aplikasi Desktop Klinik MCU TKI Pada Medical Center Purwokerto

2020 ◽  
Vol 2 (01) ◽  
pp. 1-8
Author(s):  
Lutfi Syafirullah ◽  
Hidayat Muhammad Nur ◽  
Vadlya Ma'arif
Keyword(s):  
Network Architecture ◽  
Clinical Information System ◽  
Medical Center ◽  
Current System ◽  
Clinical Information ◽  
Clinical Work ◽  
Database Systems ◽  
Prototype Model ◽  
Medical Checkup ◽  
Operational Activities

Information technology integration is expected to be able to accommodate the ease and improvement in supporting database platforms through intranet and internet infrastructure. Integration is intended to blend desktop and web database systems. Medical Checkup Purwokerto is a designated place to facilitate the checkup health of the official PJTKI Banyumas Disnaker BNP2TKI. The current system, which is a check-up application, is carried out by prospective Indonesian Workers or Medical checkup units, covering many processes including registration, health checks, types, results, payments and reports. There was a buildup of operational activities Clinical work on a daily basis, by the administrator of the medical record so that management aimed at developing a web-based clinical information system includes the scope of the processed database components, access authorization, and security. The method used is the software development life cycle (SDLC) with the Evolutionary Prototype Model. Results, patient data can be integrated as a whole process flow with a client-server network architecture

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