Service and model-driven dynamic integration of health data

Taweel, Adel; Speedie, Stuart M.; Tyson, Gareth; Tawil, Abdel Rahman H.; Peterson, Kevin; Delaney, Brendan

doi:10.1145/2064747.2064752

Cited by 14 publications

(4 citation statements)

References 8 publications

(9 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…First, some research focused on methods to rank health cards, a domain-specific type of entity cards, for consumer health search (CHS) queries as small evidence exists to verify the electiveness of ranking methods for health cards in CHS (Jimmy et al 2019). Others improve the delivery of the right information about the right www.ejkm.com 345 ISSN 1479-4411 patient at the point of care in order to attain a well-integrated and interoperable healthcare process, which is not easy to achieve due to the various differences in health data that cause enormous interoperability challenge (Taweel et al 2011). Artificial Intelligence has been a challenge as well as case-based health knowledge management systems (CBHKS) have been extensively adopted in hospitals, including data-driven intelligent platforms that integrate 'state of the art' decision processes to improve hospital management outcomes (Gu et al 2019).…”

Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

View full text Add to dashboard Cite

Health care institutions (HCI in further text) are in constant interplay with their context, generating ensuing opportunities and threats. Knowledge management has been paramount when it comes to integrating state-of-art technologies in order to improve system efficiency and decision processes in hospital management outputs. Thus, it is pivotal to explain the role of knowledge management in hospital management. Research of peer-reviewed articles published from 2009 to 2019, and obtained via the Scopus database, was carried out based on two key subjects, ‘knowledge management’ and ‘health care institutions’. The research was performed through a descriptive, quantitative and qualitative analysis of the most cited 47 scientific articles found in the SCOPUS database. We conclude that 'knowledge management' (KM in further text) has become an important research area in terms of HCI management. The article identifies the central themes in KM research in HCI. However, the area on KM literature is highly fragmented, requiring development. Based on an analysis of the collected literature, we identified the key research themes and resulting development patterns, namely, the integration and interoperability of knowledge from different sources into a single platform, occupational safety, the need to ascertain quality and pertinent information among general web information, culture and social behaviour and data security. We posit that KM effectively facilitates the utilization of healthcare information resources and management decision making in hospitals.

show abstract

Section: Figure 3: Evolution Of Citations Between 2009 and 2019mentioning

confidence: 99%

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Rosário¹,

Vilaça²,

Raimundo³

et al. 2021

EJKM

View full text Add to dashboard Cite

show abstract

“…An Electronic Health Record (EHR) encompasses a substantial portion of individuals' medical histories, providing comprehensive information and identifying relevant risk factors. Furthermore, it manages patient health information and facilitates the delivery of everyday treatment in hospitals and primary care clinics (Taweel et al, 2011). Moreover, it enables the use of patient data for many objectives, such as overseeing individual patients, conducting medical and health services research, and administering healthcare facilities (Yang et al, 2019).…”

Section: Aim Of Workmentioning

confidence: 99%

impact of interoperability on medical record sharing: review

Alshammari,

Alouthah,

Alrshidi

et al. 2020

ijhms

View full text Add to dashboard Cite

Background: The process of integrating and sharing information across health organizations and system providers is difficult because of the differences in their internal ecosystems and the use of proprietary electronic health record systems. Current studies highlight the advantages of a unified environment for inpatient treatment, with a specific emphasis on enhancing the quality, effectiveness, and long-term viability of healthcare procedures. Aim of Work: This research aims to investigate the benefits of semantic interoperability in electronic health records, enabling the smooth transfer of information across different healthcare entities and sectors within organizations. Methods: Seven databases were searched for papers published between October 2010 and September 2020 as part of an extensive, systematic literature evaluation. The research concentrated on identifying typical situations, methods, and instruments used to tackle interoperability obstacles in healthcare environments. A classification system was presented to describe the discoveries related to semantic interoperability in health records. Results: The research emphasized efficient technologies and methods for attaining semantic interoperability, which allows for the smooth exchange of data and encourages data sharing among healthcare professionals, such as physicians, nurses, labs, and other organizations in the healthcare field.

show abstract

“…Orgun [ 30 ] describes the implementation of an ontology and MAS-based system as a framework for the interactions among heterogeneous systems in a healthcare organization. Taweel [ 31 ] states that the implementation of semantic interoperability standards is not enough for complex data-intensive closed domains, such as the HIS. This author defends that an approach to dynamic semantic interoperability based on domain ontologies and extensible semantically-enriched problem models is a more effective solution, presenting a prototype.…”

Section: Related Workmentioning

confidence: 99%

The Next Generation of Interoperability Agents in Healthcare

Cardoso

Marins

Portela

et al. 2014

IJERPH

View full text Add to dashboard Cite

Interoperability in health information systems is increasingly a requirement rather than an option. Standards and technologies, such as multi-agent systems, have proven to be powerful tools in interoperability issues. In the last few years, the authors have worked on developing the Agency for Integration, Diffusion and Archive of Medical Information (AIDA), which is an intelligent, agent-based platform to ensure interoperability in healthcare units. It is increasingly important to ensure the high availability and reliability of systems. The functions provided by the systems that treat interoperability cannot fail. This paper shows the importance of monitoring and controlling intelligent agents as a tool to anticipate problems in health information systems. The interaction between humans and agents through an interface that allows the user to create new agents easily and to monitor their activities in real time is also an important feature, as health systems evolve by adopting more features and solving new problems. A module was installed in Centro Hospitalar do Porto, increasing the functionality and the overall usability of AIDA.

show abstract

Service and model-driven dynamic integration of health data

Cited by 14 publications

References 8 publications

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

Literature review on Health Knowledge Management in the last 10 years (2009-2019)

impact of interoperability on medical record sharing: review

The Next Generation of Interoperability Agents in Healthcare

Contact Info

Product

Resources

About