Use of HL7 FHIR to structure data in epilepsy self-management applications

Houta, Salima; Ameler, Tim; Surges, Rainer

doi:10.1109/wimob.2019.8923179

Cited by 7 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We obtained 11 categories for FHIR implementation. From a platform point of view, we considered the implementation of mobile/tablet apps [ 3 , 9 , 28 , 35 , 39 , 51 , 57 , 60 , 65 , 70 , 72 , 77 , 82 ], standalone apps/servers [ 3 , 23 , 51 , 58 , 61 ], web services/API [ 3 , 11 , 14 , 26 , 34 , 36 , 40 , 48 , 53 , 56 , 71 , 78 ], and web-based tools/applications [ 18 , 26 , 37 , 40 , 42 , 46 , 55 , 69 , 78 ] categories. From a conceptual framework, we considered the categories of general FHIR implementation [ 48 , 59 ], using SMART on FHIR [ 3 , 14 , 22 , 31 ], HL7 API (HAPI)-FHIR server/library/applications [ 14 , 16 , 20 , 32 , 34 - 36 , 40 , 43 , 51 , 54 , 55 , 73 , 76 , 81 , 82 ], and FHIR general framework [ 14 , 40 ,…”

Section: Resultsmentioning

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

146

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

Section: Resultsmentioning

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

146

View full text Add to dashboard Cite

show abstract

“…In existing concepts, the purpose, focus and maturity level vary. The systems are used in rehabilitation [32,33], in disease management programs for chronic diseases [34][35][36], in physiotherapy [37], as well as in behavioural research [38][39][40]. The purpose of these systems range from support in the implementation of therapy [41] to the monitoring of medical studies [42,43] and the use as a communication medium between patient and HSP [44].…”

Section: Introductionmentioning

confidence: 99%

Requirements and Architecture of a Cloud Based Insomnia Therapy and Diagnosis Platform: A Smart Cities Approach

Reichenpfader

Hanke

2021

Smart Cities

View full text Add to dashboard Cite

Insomnia is the most common sleep disorder worldwide. Its effects generate economic costs in the millions but could be effectively reduced using digitally provisioned cognitive behavioural therapy. However, traditional acquisition and maintenance of the necessary technical infrastructure requires high financial and personnel expenses. Sleep analysis is still mostly done in artificial settings in clinical environments. Nevertheless, innovative IT infrastructure, such as mHealth and cloud service solutions for home monitoring, are available and allow context-aware service provision following the Smart Cities paradigm. This paper aims to conceptualise a digital, cloud-based platform with context-aware data storage that supports diagnosis and therapy of non-organic insomnia. In a first step, requirements needed for a remote diagnosis, therapy, and monitoring system are identified. Then, the software architecture is drafted based on the above mentioned requirements. Lastly, an implementation concept of the software architecture is proposed through selecting and combining eleven cloud computing services. This paper shows how treatment and diagnosis of a common medical issue could be supported effectively and cost-efficiently by utilising state-of-the-art technology. The paper demonstrates the relevance of context-aware data collection and disease understanding as well as the requirements regarding health service provision in a Smart Cities context. In contrast to existing systems, we provide a cloud-based and requirement-driven reference architecture. The applied methodology can be used for the development, design, and evaluation of other remote and context-aware diagnosis and therapy systems. Considerations of additional aspects regarding cost, methods for data analytics as well as general data security and safety are discussed.

show abstract

Study and Design Approach for Generic Medical Equipment Integration with Lis Host

Raich

2022

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

Use of HL7 FHIR to structure data in epilepsy self-management applications

Cited by 7 publications

References 18 publications

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

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

Requirements and Architecture of a Cloud Based Insomnia Therapy and Diagnosis Platform: A Smart Cities Approach

Study and Design Approach for Generic Medical Equipment Integration with Lis Host

Contact Info

Product

Resources

About