Fast Health Interoperability Resources (FHIR)

Saripalle, Rishi Kanth

doi:10.4018/ijehmc.2019010105

Cited by 42 publications

(11 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This underlines FHIR's suitability for web based platforms, such as KETOS, and will allow models built to easily integrate with web and mobile application. Saripalle concludes that the FHIR standard can close the interoperability gap between the many different healthcare entities [23].…”

Section: Methodsmentioning

confidence: 99%

KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

et al. 2019

View full text Add to dashboard Cite

show abstract

Section: Methodsmentioning

confidence: 99%

KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

et al. 2019

View full text Add to dashboard Cite

show abstract

“…This adoption might be essential for the improvement of health care services with respect to health data sharing, integration, and availability. Furthermore, use of the FHIR standard in the health care sector may enhance the chance of adoption of smart technologies in the health care domain, such as smartphones, mobile health apps, tablets, smart watches, fitness trackers, and any other future innovations [90]. Furthermore, use of artificial intelligence technologies and data sciences will also be dominant in implementing FHIR-based applications.…”

Section: Principal Findingsmentioning

confidence: 99%

“…Similarly, another systematic literature review [90] only explained the general concept and current status of FHIR, whereas core issues such as challenges, goals, and application implementation were not discussed. Important articles that discuss the FHIR resources used in various application implementations were also not included in this review.…”

Section: Principal Findingsmentioning

confidence: 99%

The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

Ayaz¹,

Pasha²,

Alzahrani³

et al. 2021

JMIR Med Inform

127

View full text Add to dashboard Cite

Background Information technology has shifted paper-based documentation in the health care sector into a digital form, in which patient information is transferred electronically from one place to another. However, there remain challenges and issues to resolve in this domain owing to the lack of proper standards, the growth of new technologies (mobile devices, tablets, ubiquitous computing), and health care providers who are reluctant to share patient information. Therefore, a solid systematic literature review was performed to understand the use of this new technology in the health care sector. To the best of our knowledge, there is a lack of comprehensive systematic literature reviews that focus on Fast Health Interoperability Resources (FHIR)-based electronic health records (EHRs). In addition, FHIR is the latest standard, which is in an infancy stage of development. Therefore, this is a hot research topic with great potential for further research in this domain. Objective The main aim of this study was to explore and perform a systematic review of the literature related to FHIR, including the challenges, implementation, opportunities, and future FHIR applications. Methods In January 2020, we searched articles published from January 2012 to December 2019 via all major digital databases in the field of computer science and health care, including ACM, IEEE Explorer, Springer, Google Scholar, PubMed, and ScienceDirect. We identified 8181 scientific articles published in this field, 80 of which met our inclusion criteria for further consideration. Results The selected 80 scientific articles were reviewed systematically, and we identified open questions, challenges, implementation models, used resources, beneficiary applications, data migration approaches, and goals of FHIR. Conclusions The literature analysis performed in this systematic review highlights the important role of FHIR in the health care domain in the near future.

show abstract

“…With the steady increase of applications in the digitized healthcare system, the need for data integration is growing in order to ensure the exchange of healthcare data between providers on the one hand [1] and to ensure the continued use of legacy data when it comes to an application replacement on the other hand [2]. Data exchange on a national level remains a challenge, which is why the German Medical Informatics Initiative (MII) has set this as the main goal [3].…”

Section: Introductionmentioning

confidence: 99%

Hands on the Medical Informatics Initiative Core Data Set — Lessons Learned from Converting the MIMIC-IV

Ulrich

Behrend

Wiedekopf

et al. 2021

Studies in Health Technology and Informatics

View full text Add to dashboard Cite

With the steady increase in the connectivity of the healthcare system, new requirements and challenges are emerging. In addition to the seamless exchange of data between service providers on a national level, the local legacy data must also meet the new requirements. For this purpose, the applications used must be tested securely and sufficiently. However, the availability of suitable and realistic test data is not always given. Therefore, this study deals with the creation of test data based on real electronic health record data provided by the Medical Information Mart for Intensive Care (MIMIC-IV) database. In addition to converting the data to the current FHIR R4, conversion to the core data sets of the German Medical Informatics Initiative was also presented and made available. The test data was generated to simulate a legacy data transfer. Moreover, four different FHIR servers were tested for performance. This study is the first step toward comparable test scenarios around shared datasets and promotes comparability among providers on a national level.

show abstract

Fast Health Interoperability Resources (FHIR)

Cited by 42 publications

References 45 publications

KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities

Hands on the Medical Informatics Initiative Core Data Set — Lessons Learned from Converting the MIMIC-IV

Contact Info

Product

Resources

About