scholarly journals ContSOnto: A Formal Ontology for Continuity of Care

2021 ◽  
Author(s):  
Subhashis Das ◽  
Pamela Hussey
Keyword(s):  
Health Care ◽  
Continuity Of Care ◽  
Formal Ontology ◽  
Health Care Information ◽  
Data Interoperability ◽  
Global Pandemic ◽  
Information Models ◽  
Web Standards ◽  
Health Care Information Systems ◽  
Remote Patient

The global pandemic over the past two years has reset societal agendas by identifying both strengths and weaknesses across all sectors. Focusing in particular on global health delivery, the ability of health care facilities to scale requirements and to meet service demands has detected the need for some national services and organisations to modernise their organisational processes and infrastructures. Core to requirements for modernisation is infrastructure to share information, specifically structural standardised approaches for both operational procedures and terminology services. Problems of data sharing (aka interoperability) is a main obstacle when patients are moving across healthcare facilities or travelling across border countries in cases where emergency treatment is needed. Experts in healthcare service delivery suggest that the best possible way to manage individual care is at home, using remote patient monitoring which ultimately reduces cost burden both for the citizen and service provider. Core to this practice will be advancing digitalisation of health care underpinned with safe integration and access to relevant and timely information. To tackle the data interoperability issue and provide a quality driven continuous flow of information from different health care information systems semantic terminology needs to be provided intact. In this paper we propose and present ContSonto a formal ontology for continuity of care based on ISO 13940:2015 ContSy and W3C Semantic Web Standards Language OWL (Web Ontology Language). ContSonto has several benefits including semantic interoperability, data harmonization and data linking. It can be use as a base model for data integration for different healthcare information models to generate knowledge graph to support shared care and decision making.

scholarly journals Verifying the Feasibility of Implementing Semantic Interoperability in Different Countries Based on the OpenEHR Approach: Comparative Study of Acute Coronary Syndrome Registries

10.2196/31288 ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. e31288
Author(s):  
Lingtong Min ◽  
Koray Atalag ◽  
Qi Tian ◽  
Yani Chen ◽  
Xudong Lu
Keyword(s):  
Health Care ◽  
Acute Coronary Syndrome ◽  
New Zealand ◽  
Design Patterns ◽  
Comparison Method ◽  
Semantic Interoperability ◽  
Health Care Information ◽  
Coronary Syndrome ◽  
Clinical Registries ◽  
Information Models

Background The semantic interoperability of health care information has been a critical challenge in medical informatics and has influenced the integration, sharing, analysis, and use of medical big data. International standard organizations have developed standards, approaches, and models to improve and implement semantic interoperability. The openEHR approach—one of the standout semantic interoperability approaches—has been implemented worldwide to improve semantic interoperability based on reused archetypes. Objective This study aimed to verify the feasibility of implementing semantic interoperability in different countries by comparing the openEHR-based information models of 2 acute coronary syndrome (ACS) registries from China and New Zealand. Methods A semantic archetype comparison method was proposed to determine the semantics reuse degree of reused archetypes in 2 ACS-related clinical registries from 2 countries. This method involved (1) determining the scope of reused archetypes; (2) identifying corresponding data items within corresponding archetypes; (3) comparing the semantics of corresponding data items; and (4) calculating the number of mappings in corresponding data items and analyzing results. Results Among the related archetypes in the two ACS-related, openEHR-based clinical registries from China and New Zealand, there were 8 pairs of reusable archetypes, which included 89 pairs of corresponding data items and 120 noncorresponding data items. Of the 89 corresponding data item pairs, 87 pairs (98%) were mappable and therefore supported semantic interoperability, and 71 pairs (80%) were labeled as “direct mapping” data items. Of the 120 noncorresponding data items, 114 (95%) data items were generated via archetype evolution, and 6 (5%) data items were generated via archetype localization. Conclusions The results of the semantic comparison between the two ACS-related clinical registries prove the feasibility of establishing the semantic interoperability of health care data from different countries based on the openEHR approach. Archetype reuse provides data on the degree to which semantic interoperability exists when using the openEHR approach. Although the openEHR community has effectively promoted archetype reuse and semantic interoperability by providing archetype modeling methods, tools, model repositories, and archetype design patterns, the uncontrolled evolution of archetypes and inconsistent localization have resulted in major challenges for achieving higher levels of semantic interoperability.

Health Care Information Systems: A Crisis Approach

2018 ◽  
pp. 233-244
Author(s):  
Daniela America da Silva ◽  
Gildarcio Sousa Goncalves ◽  
Samara Cardoso dos Santos ◽  
Victor Ulisses Pugliese ◽  
Julhio Navas ◽  
...  
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Health Care Information ◽  
Health Care Information Systems ◽  
Care Information

Establishing Synergy between Cloud Computing and Colloborative Technology in Medical Informatics

2015 ◽  
pp. 221-236
Author(s):  
N. Raghavendra Rao
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
Health Care Sector ◽  
Design Management ◽  
Health Care Information ◽  
Knowledge Based ◽  
Service Information ◽  
Health Care Information Systems ◽  
Care Information ◽  
Use Of Health Care

The Health care sector needs information driven service. Information is a major resource which is important to health of individual patient and the success of hospitals. The understanding between medical professionals and software professionals can be a main force behind the design, management and use of health care data and information. Health care information systems need to move from traditional integrated database to knowledge based database. Generally, data in health care sector is available as disperse elements; when it is compiled into a meaningful pattern, then it becomes information. And as information is converted into valid basis for action, then it becomes knowledge. This chapter explains making use of the concepts such as cloud computing, pervasive computing, virtual reality along with the other collaborative technology which will facilitate to create knowledge based health care system.

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