scholarly journals Mapping of OpenEHR Archetypes to FHIR Resources in Use Case Oncology

2021 ◽  
Author(s):  
Abdul Mateen Rajput ◽  
Ina Brakollari
Keyword(s):  
Patient Care ◽  
Crucial Role ◽  
Data Exchange ◽  
Healthcare Systems ◽  
Semantic Interoperability ◽  
Use Case ◽  
Care Mapping

Unambiguous data exchange among healthcare systems is essential for error-free reporting and improved patient care. Mapping of different standards plays a crucial role in making different systems communicate with each other and have an efficient healthcare systems. This work focuses on exploring the possibilities of semantic interoperability between two widely used clinical modelling standards, OpenEHR and FHIR (Fast Healthcare Interoperability Resources). A manually curated map is being developed where the same semantically meaning OpenEHR Archetypes are mapped to the relevant FHIR Resources.

Clinical Cybersecurity Training Through Novel High Fidelity Simulations (Preprint)

2018 ◽  
Author(s):  
Christian Dameff ◽  
Jordan Selzer ◽  
Jonathan Fisher ◽  
James Killeen ◽  
Jeffrey Tully
Keyword(s):  
Patient Safety ◽  
Patient Care ◽  
Medical Devices ◽  
Healthcare Systems ◽  
High Fidelity ◽  
Protected Health Information ◽  
Patient Harm ◽  
Security Vulnerabilities ◽  
Clinical Simulations ◽  
Medical Infrastructure

BACKGROUND Cybersecurity risks in healthcare systems have traditionally been measured in data breaches of protected health information but compromised medical devices and critical medical infrastructure raises questions about the risks of disrupted patient care. The increasing prevalence of these connected medical devices and systems implies that these risks are growing. OBJECTIVE This paper details the development and execution of three novel high fidelity clinical simulations designed to teach clinicians to recognize, treat, and prevent patient harm from vulnerable medical devices. METHODS Clinical simulations were developed which incorporated patient care scenarios with hacked medical devices based on previously researched security vulnerabilities. RESULTS Clinician participants universally failed to recognize the etiology of their patient’s pathology as being the result of a compromised device. CONCLUSIONS Simulation can be a useful tool in educating clinicians in this new, critically important patient safety space.

Semantic Interoperability on the Internet of Things

2013 ◽  
Vol 4 (3) ◽  
pp. 47-69 ◽  
Author(s):  
Konstantinos Kotis ◽  
Artem Katasonov
Keyword(s):  
Internet Of Things ◽  
Semantic Interoperability ◽  
The Internet ◽  
Use Case ◽  
Proof Of Concept ◽  
Case Scenario ◽  
Key Technology ◽  
Smart Gateway ◽  
The Internet Of Things

Internet of Things should be able to integrate an extremely large amount of distributed and heterogeneous entities. To tackle heterogeneity, these entities will need to be consistently and formally represented and managed (registered, aligned, composed and queried) trough suitable abstraction technologies. Two distinct types of these entities are a) sensing/actuating devices that observe some features of interest or act on some other entities (call it ‘smart entities’), and b) applications that utilize the data sensed from or sent to the smart entities (call it ‘control entities’). The aim of this paper is to present the Semantic Smart Gateway Framework for supporting semantic interoperability between these types of heterogeneous IoT entities. More specifically, the paper describes an ontology as the key technology for the abstraction and semantic registration of these entities, towards supporting their automated deployment. The paper also described the alignment of IoT entities and of their exchanged messages. More important, the paper presents a use case scenario and a proof-of-concept implementation.

Regional and Community Health Information Exchange in the United States

2011 ◽  
pp. 198-218 ◽  
Author(s):  
Adi V. Gundlapalli ◽  
Jonathan H. Reid ◽  
Jan Root ◽  
Wu Xu
Keyword(s):  
United States ◽  
Patient Care ◽  
Community Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Business Case ◽  
The United States ◽  
Healthcare Systems ◽  
Secure Information

A fundamental premise of continuity in patient care and safety suggests timely sharing of health information among different providers at the point of care and after the visit. In most healthcare systems, this is achieved through exchange of written medical information, phone calls and conversations. In an ideal world, this exchange of health information between disparate providers, healthcare systems, laboratories, pharmacies and payers would be achieved electronically and seamlessly. The potential benefits of electronic health exchange are improved patient care, increased efficiency of the healthcare system and decreased costs. The reality is that health information is electronically exchanged only to a limited extent within local communities and regions, much less nationally and internationally. One main challenge has been the inability of health information exchange organizations to develop a solid business case. Other challenges have been socio-political in that data ownership and stewardship have not been clearly resolved. Technological improvements over the past 20 years have provided significant advances towards safe and secure information exchange. This chapter provides a general overview of community health information exchange in the United States of America, its history and details of challenges faced by stakeholders. The lessons learned from successes and failures, research and knowledge gaps and future prospects are also discussed. Current and future technologies to facilitate and invigorate health information exchange are highlighted. Two examples of successful regional health information exchanges in the US states of Utah and Indiana are highlighted.

scholarly journals Ontology Content Patterns as Bridge for the Semantic Representation of Clinical Information

2014 ◽  
Vol 05 (03) ◽  
pp. 660-669 ◽  
Author(s):  
S. Schulz ◽  
C. Martínez-Costa
Keyword(s):  
State Of The Art ◽  
Semantic Representation ◽  
Clinical Information ◽  
Semantic Interoperability ◽  
Use Case ◽  
Data Interoperability ◽  
Heterogeneous Models ◽  
And Performance ◽  
Final Degree ◽  
Open Issues

SummaryObjective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles.Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed.Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case.Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.Citation: Martínez-Costa C, Schulz S. Ontology content patterns as bridge for the semantic rRepresentation of clinical information Appl Clin Inf 2014; 5: 660–669http://dx.doi.org/10.4338/ACI-2014-04-RA-0031

scholarly journals Virtual volunteers: the importance of restructuring medical volunteering during the COVID-19 pandemic

2020 ◽  
Vol 46 (4) ◽  
pp. 537-540 ◽  
Author(s):  
Zachary Pickell ◽  
Kathleen Gu ◽  
Aaron M Williams
Keyword(s):  
Viral Infection ◽  
Patient Care ◽  
Healthcare System ◽  
Health Systems ◽  
Video Conferencing ◽  
Healthcare Systems ◽  
Patient Experiences ◽  
Online Video ◽  
Virtual Volunteering

Healthcare systems have postponed medical volunteering services in response to the COVID-19 pandemic. However, much of the aid provided by these volunteers is crucial to patient care and hospital functioning in the American healthcare system. The adoption of online video conferencing platforms in healthcare—telehealth—offers a novel solution for volunteering during this pandemic. Virtual volunteering can alleviate pressures on medical workers, enhance patient experiences, reduce the risk of viral infection and provide a sense of normalcy for patients and families. Although further study is required, this should be an avenue considered by health systems.

scholarly journals The NeXus data format

2015 ◽  
Vol 48 (1) ◽  
pp. 301-305 ◽  
Author(s):  
Mark Könnecke ◽  
Frederick A. Akeroyd ◽  
Herbert J. Bernstein ◽  
Aaron S. Brewster ◽  
Stuart I. Campbell ◽  
...  
Keyword(s):  
Experimental Data ◽  
Data Exchange ◽  
Scientific Data ◽  
Use Case ◽  
Data Format ◽  
X Ray ◽  
Specific Field ◽  
Domain Specific ◽  
International Group

NeXus is an effort by an international group of scientists to define a common data exchange and archival format for neutron, X-ray and muon experiments. NeXus is built on top of the scientific data format HDF5 and adds domain-specific rules for organizing data within HDF5 files, in addition to a dictionary of well defined domain-specific field names. The NeXus data format has two purposes. First, it defines a format that can serve as a container for all relevant data associated with a beamline. This is a very important use case. Second, it defines standards in the form of application definitions for the exchange of data between applications. NeXus provides structures for raw experimental data as well as for processed data.

Semantic Interoperability in Czech Healthcare Environment Supported by HL7 Version 3

2010 ◽  
Vol 49 (02) ◽  
pp. 186-195 ◽  
Author(s):  
P. Hanzlícek ◽  
P. Precková ◽  
A. Ríha ◽  
M. Dioszegi ◽  
L. Seidl ◽  
...  
Keyword(s):  
Data Exchange ◽  
Semantic Interoperability ◽  
International Standards ◽  
National Standards ◽  
Snomed Ct ◽  
Healthcare Environment ◽  
Coding Systems ◽  
Information Models ◽  
Icd 10 ◽  
Implementation Guidelines

Summary Objectives: The data interchange in the Czech healthcare environment is mostly based on national standards. This paper describes a utilization of international standards and nomenclatures for building a pilot semantic interoperability platform (SIP) that would serve to exchange information among electronic health record systems (EHR-Ss) in Czech healthcare. The work was performed by the national research project of the “Information Society” program. Methods: At the beginning of the project a set of requirements the SIP should meet was formulated. Several communication standards (open EHR, HL7 v3, DICOM) were analyzed and HL7 v3 was selected to exchange health records in our solution. Two systems were included in our pilot environment: WinMedicalc 2000 and ADAMEKj EHR. Results: HL7-based local information models were created to describe the information content of both systems. The concepts from our original information models were mapped to coding systems supported by HL7 (LOINC, SNOMED CT and ICD-10) and the data exchange via HL7 v3 messages was implemented and tested by querying patient administration data. As a gateway between local EHR systems and the HL7 message-based infrastructure, a configurable HL7 Broker was developed. Conclusions: A nationwide implementation of a full-scale SIP based on HL7 v3 would include adopting and translating appropriate international coding systems and nomenclatures, and developing implementation guidelines facilitating the migration from national standards to international ones. Our pilot study showed that our approach is feasible but it would demand a huge effort to fully integrate the Czech healthcare system into the European e-health context.

scholarly journals The SEEMP Approach to Semantic Interoperability for E-Employment

2009 ◽  
pp. 105-126
Author(s):  
E. Della Valle ◽  
D. Cerizza ◽  
I. Celino ◽  
M.G. Fugini ◽  
J. Estublier ◽  
...  
Keyword(s):  
Labour Market ◽  
Data Exchange ◽  
Semantic Interoperability ◽  
Public Employment ◽  
Job Seekers ◽  
Employment Services ◽  
European Project ◽  
Private And Public ◽  
Shared Commitment

SEEMP is a European Project that promotes increased partnership between labour market actors and the development of closer relations between private and public Employment Services, making optimal use of the various actors’ specific characteristics, thus providing job-seekers and employers with better services. The need for a flexible collaboration gives rise to the issue of interoperability in both data exchange and share of services. SEEMP proposes a solution that relies on the concepts of services and semantics in order to provide a meaningful service-based communication among labour market actors requiring a minimal shared commitment.

Regional and Community Health Information Exchange in the United States

2011 ◽  
pp. 1470-1490
Author(s):  
Adi V. Gundlapalli ◽  
Jonathan H. Reid ◽  
Jan Root ◽  
Wu Xu
Keyword(s):  
United States ◽  
Patient Care ◽  
Community Health ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Business Case ◽  
The United States ◽  
Healthcare Systems ◽  
Secure Information

A fundamental premise of continuity in patient care and safety suggests timely sharing of health information among different providers at the point of care and after the visit. In most healthcare systems, this is achieved through exchange of written medical information, phone calls and conversations. In an ideal world, this exchange of health information between disparate providers, healthcare systems, laboratories, pharmacies and payers would be achieved electronically and seamlessly. The potential benefits of electronic health exchange are improved patient care, increased efficiency of the healthcare system and decreased costs. The reality is that health information is electronically exchanged only to a limited extent within local communities and regions, much less nationally and internationally. One main challenge has been the inability of health information exchange organizations to develop a solid business case. Other challenges have been socio-political in that data ownership and stewardship have not been clearly resolved. Technological improvements over the past 20 years have provided significant advances towards safe and secure information exchange. This chapter provides a general overview of community health information exchange in the United States of America, its history and details of challenges faced by stakeholders. The lessons learned from successes and failures, research and knowledge gaps and future prospects are also discussed. Current and future technologies to facilitate and invigorate health information exchange are highlighted. Two examples of successful regional health information exchanges in the US states of Utah and Indiana are highlighted.

The Pipeline for Standardizing Russian Unstructured Allergy Anamnesis Using FHIR AllergyIntolerance Resource

2021 ◽  
Author(s):  
Iuliia D. Lenivtceva ◽  
Georgy Kopanitsa
Keyword(s):  
Medical Records ◽  
Data Exchange ◽  
Medical Knowledge ◽  
Data Preprocessing ◽  
Semantic Interoperability ◽  
International Standards ◽  
Free Text ◽  
Snomed Ct ◽  
Process Standardization ◽  
Specific Medication

Abstract Background The larger part of essential medical knowledge is stored as free text which is complicated to process. Standardization of medical narratives is an important task for data exchange, integration, and semantic interoperability. Objectives The article aims to develop the end-to-end pipeline for structuring Russian free-text allergy anamnesis using international standards. Methods The pipeline for free-text data standardization is based on FHIR (Fast Healthcare Interoperability Resources) and SNOMED CT (Systematized Nomenclature of Medicine Clinical Terms) to ensure semantic interoperability. The pipeline solves common tasks such as data preprocessing, classification, categorization, entities extraction, and semantic codes assignment. Machine learning methods, rule-based, and dictionary-based approaches were used to compose the pipeline. The pipeline was evaluated on 166 randomly chosen medical records. Results AllergyIntolerance resource was used to represent allergy anamnesis. The module for data preprocessing included the dictionary with over 90,000 words, including specific medication terms, and more than 20 regular expressions for errors correction, classification, and categorization modules resulted in four dictionaries with allergy terms (total 2,675 terms), which were mapped to SNOMED CT concepts. F-scores for different steps are: 0.945 for filtering, 0.90 to 0.96 for allergy categorization, 0.90 and 0.93 for allergens reactions extraction, respectively. The allergy terminology coverage is more than 95%. Conclusion The proposed pipeline is a step to ensure semantic interoperability of Russian free-text medical records and could be effective in standardization systems for further data exchange and integration.

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