IF-Cloud: FHIR API for integrating digital healthcare projects
DOI:
https://doi.org/10.59681/2175-4411.v16.iEspecial.2024.1340Keywords:
Cloud Computing, Health Information Interoperability, Digital HealthAbstract
Objective: Develop IF-Cloud, an API for prototyping and integrating IoT devices and web applications for healthcare. Method: The case study is a healthcare ecosystem for biosignal monitoring that only performs Create/Read/Update/Delete (CRUD) operations. IF-Cloud receives new operations by uploading python scripts into a graphical user interface. IF-Cloud uses data of FHIR resources coming from some CRUD API and returns another FHIR resource with the data processed by the scripts. Results: a biosignal was registered in the CRUD API for the experiments. Data compression and heart rate calculation are operations included in the ecosystem using IF-Cloud. An application for visualizing biosignals benefits from the addition by displaying heart rate and biosignal simultaneously. Conclusion: IF-Cloud allows the inclusion of new functionalities in healthcare ecosystems by uploading script files.
References
Szabó Z, Bilicki V. Access control of EHR records in a heterogeneous cloud infrastructure. Acta Cybernetica. 2021 Dec 7;25(2):485-516.
Al-Fuqaha A, Guizani M, Mohammadi M, Aledhari M, Ayyash M. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE communications surveys & tutorials. 2015 Jun 15;17(4):2347-76.
Farahani B, Firouzi F, Chang V, Badaroglu M, Constant N, Mankodiya K. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future generation computer systems. 2018 Jan 1;78:659-76.
Benson T, Grieve G. Principles of health interoperability. Cham: Springer International. 2021:21-40.
FHIR Release 5 [Internet]. HL7.org. 2024. [Acessado em 15/04/2024]. Disponível em: https://www.hl7.org/fhir/
dos Santos LS, del Mestre Martins G, Itturriet FP, Machado JC, del Mestre Martins AL. Interoperabilidade e Segurança na Implementação de Aplicações Web de Saúde com SMART on FHIR. Journal of Health Informatics. 2023 Jul 20;15(Especial).
Abdelaziz AB, Rahimi MA, Alrabeiah MR, Ibrahim AB, Almaiman AS, Ragheb AM, Alshebeili SA. Photoplethysmography Data Reduction Using Truncated Singular Value Decomposition and Internet of Things Computing. Electronics. 2023 Jan 2;12(1):220.
Serhani MA, T. El Kassabi H, Ismail H, Nujum Navaz A. ECG monitoring systems: Review, architecture, processes, and key challenges. Sensors. 2020 Mar 24;20(6):1796.
Tejedor J, García CA, Márquez DG, Raya R, Otero A. Multiple physiological signals fusion techniques for improving heartbeat detection: A review. Sensors. 2019 Oct 29;19(21):4708.
Ayaz M, Pasha MF, Alzahrani MY, Budiarto R, Stiawan D. Correction: The Fast Health Interoperability Resources (FHIR) standard: systematic literature review of implementations, applications, challenges and opportunities. JMIR Med Inform. 2021 Aug 17;9(8):e32869.
AWS Free Tier [Internet]. Amazon Web Services. 2024. [Acessado em 15/04/2024]. Disponível em: https://aws.amazon.com/free/
Knuth DE. Dynamic huffman coding. Journal of algorithms. 1985 Jun 1;6(2):163-80.
Morás PL, del Mestre Martins AL, Itturriet FP. CardIoT - Eletrocardiógrafo Interoperável Baseado em Internet das Coisas. Anais do Computer on the Beach. 2023 May 3;14:416-23.
Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. circulation. 2000 Jun 13;101(23):e215-20.
HAPI FHIR - The Open Source FHIR API for Java. [Internet]. Smile CDR. 2024. [Acessado em 15/04/2024]. Disponível em: https://hapifhir.io/
Bota P, Silva R, Carreiras C, Fred A, da Silva HP. BioSPPy: A Python toolbox for physiological signal processing. SoftwareX. 2024 May 1;26:101712.
Moody GB. Lightwave: Waveform and annotation viewing and editing in a web browser. In Computing in Cardiology 2013 2013 Sep 22 (pp. 17-20). IEEE.
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