Health Information Exchange: Integrating the Healthcare Enterprise (IHE)

Witting, Karen

doi:10.1007/978-1-4471-2999-8_6

Cited by 8 publications

(3 citation statements)

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“…20 The option of obtaining these data profiles through IHE queries (Figure 3; QED) can be used to classify information into six categories: vital signs, problems/ allergies, diagnostic results, medications, immunizations, and professional services. 57 Utilizing HL7 V3 messaging to encode the content, QED may retrieve more than one data type in a single query and is intended for use between clinical systems (requesters) and repositories (responders).…”

Section: Intra-facility (Meso-tier) Interoperabilitymentioning

confidence: 99%

Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries

Perugu, MBA,

Wadhwa, BS,

Kim, ME

et al. 2023

THMT

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Objective This paper provides a review of the landscape of interoperability efforts in healthcare from 2010 to 2023, in the US and abroad. Interoperability, in the context of this paper, is “the ability to share information across time and space from multiple devices, sources, and organizations”, as defined by the IEEE (Institute of Electrical and Electronic Engineers). This review is followed by recommendations for future work toward improving the standardization of heterogeneous data in the healthcare setting. Methodology and Results A literature review was conducted on established interoperability standards and systems in healthcare, based on information obtained from journal publications, government, academy reports, published materials, and publicly available websites. The review emphasizes four interoperability parameters: device/equipment interoperability, compatibility issues, involved organizations, and migration and conversion issues. It evaluates adoption levels for each standard, evaluating factors supporting and/or limiting systemic adoption. Estimations on the number of users – both medical professionals and patients – for each system were made in instances where verifiable data were available. Examples of specific interoperability efforts and an evaluation of their feasibility were conducted at three levels of healthcare interoperability, as defined by the National Academy of Medicine: Inter-facility (macro-tier) interoperability, Intra-facility (meso-tier) interoperability, and Point-of-care (micro-tier) interoperability. Conclusions Despite many parallel ongoing efforts to improve the standardization of healthcare information, in the mobile devices, IoT, and EHR sectors, there is still more space for improvement. The recent development of the TEFCA framework has greatly reduced the friction of data exchange in many healthcare contexts. In addition, funding architectures for mediating data between separate healthcare organizations, or middleware architectures, may also be an effective strategy for consolidating healthcare data and improving information exchange.

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Section: Intra-facility (Meso-tier) Interoperabilitymentioning

confidence: 99%

Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries

Perugu, MBA,

Wadhwa, BS,

Kim, ME

et al. 2023

THMT

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“…Moreover, there are also other issues such as data ownership, integrity and the licensure, accreditation, and liability of the practitioners and institutions. To overcome such issues, the Integrating Healthcare Enterprise (IHE) defines integration profiles based on existing protocols [21]. Among those profiles, one stands out, the Cross-Enterprise Document Sharing (XDS) [22].…”

Section: Pacs Challenges and Trendsmentioning

confidence: 99%

Anatomy of an Extensible Open Source PACS

et al. 2015

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The conception and deployment of cost effective Picture Archiving and Communication Systems (PACS) is a concern for small to medium medical imaging facilities, research environments, and developing countries' healthcare institutions. Financial constraints and the specificity of these scenarios contribute to a low adoption rate of PACS in those environments. Furthermore, with the advent of ubiquitous computing and new initiatives to improve healthcare information technologies and data sharing, such as IHE and XDS-i, a PACS must adapt quickly to changes. This paper describes Dicoogle, a software framework that enables developers and researchers to quickly prototype and deploy new functionality taking advantage of the embedded Digital Imaging and Communications in Medicine (DICOM) services. This full-fledged implementation of a PACS archive is very amenable to extension due to its plugin-based architecture and out-of-the-box functionality, which enables the exploration of large DICOM datasets and associated metadata. These characteristics make the proposed solution very interesting for prototyping, experimentation, and bridging functionality with deployed applications. Besides being an advanced mechanism for data discovery and retrieval based on DICOM object indexing, it enables the detection of inconsistencies in an institution's data and processes. Several use cases have benefited from this approach such as radiation dosage monitoring, Content-Based Image Retrieval (CBIR), and the use of the framework as support for classes targeting software engineering for clinical contexts.

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“…Los estándares antes mencionados por si solos no garantizan la comunicación, la confidencialidad, la seguridad ni definen los procesos de integración entre sistemas. Con el objetivo de normar su aplicación surge la Iniciativa de Integración de Sistemas Sanitarios (Integrating the Healthcare Enterprise -IHE) [5], la cual establece dominios de integración que a su vez definen perfiles de integración que contienen elementos necesarios para lograr una correcta interoperabilidad entre los Sistemas de Información Clínicos.…”

Section: Introductionunclassified

Plataforma SOA basada en perfiles de integración sanitarios

Corales¹,

Romero²,

González³

et al. 2015

Proceedings of the 13th Latin American and Caribbean Conference for Engineering and Technology Engineering Education Facing The

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Clinical information systems framed in the field of health standards and best practices used integration as HL7 and IHE to share documents related to the EHR; as well as manage and consult information related to the identity of patients using the XDS, PIX and PDQ profiles respectively. The research focuses on developing a communication platform SOA including health integration profiles XDS, PIX and PDQ belonging to the area of IT Infrastructure, also a repository for clinical documents and records for the corresponding metadata. WSO2 suite tools were used to support the various services; NetBeans, Maven and Jmeter to implement and test them. For data persistence PostgreSQL is chosen. An interoperability platform that supports the proposal and interacting with a hospital information system was developed. Is checked correct operation of the component with international validator Gazelle and monitoring tools which showed a yield of 136.7 to 4000 requests per second connections are used. The average time is 1.71 seconds.

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Health Information Exchange: Integrating the Healthcare Enterprise (IHE)

Cited by 8 publications

References 0 publications

Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries

Pragmatic Approaches to Interoperability – Surmounting Barriers to Healthcare Data and Information Across Organizations and Political Boundaries

Anatomy of an Extensible Open Source PACS

Plataforma SOA basada en perfiles de integración sanitarios

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