Analysis and Implementation of Microservice Architecture Related to Patient Drug Schedule Based on FHIR Standard

Authors

  • Ariq Musyaffa Ramadhani Telkom University
  • Andrian Rakhmatsyah Telkom University
  • Rahmat Yasirandi Telkom University

DOI:

https://doi.org/10.26555/jiteki.v7i2.21169

Keywords:

Centralized System, Platform, Medical Adherence, FHIR

Abstract

In several previous studies, smart devices have been developed to help improve a patient's medication adherence but have problems, namely data management that is not centralized and not integrated, so that mitigation is quite vulnerable. In this study, a platform was built that can manage data centrally and apply the FHIR (Fast Healthcare Interoperability Resources) health data standard. The main components used to implement the FHIR standard are resources and REST APIs. The resource is a data model that defines the structure and data elements that are exchanged. This data exchange is carried out on top of the REST API using the HTTP protocol. Platform testing uses positive/negative testing and stress testing methods to be able to see the performance of the platform. The test results show that the platform prototype can provide a response that is in accordance with the request given and has a very tolerant error value of 0% with a latency value of 3 to 22 seconds with a total of 100 to 130 users.

References

T. R. Zijp, P. G. M. Mol, D. J. Touw, and J. F. M. van Boven, “Smart Medication Adherence Monitoring in Clinical Drug Trials: A Prerequisite for Personalised Medicine?,†EClinicalMedicine, vol. 15, pp. 3–4, 2019. https://doi.org/10.1016/j.eclinm.2019.08.013

I. Ahmed et al., “Medication adherence apps: Review and content analysis,†JMIR mHealth uHealth, vol. 6, no. 3, 2018. https://doi.org/10.2196/mhealth.6432

F. Santoleri, R. Lasala, A. Logreco, E. Ranucci, and A. Costantini, “Using a treatment diary to improve the medication adherence in patients with chronic myeloid leukaemia,†J. Oncol. Pharm. Pract., vol. 25, no. 5, pp. 1035–1041, 2019. https://doi.org/10.1177/1078155218759184

J. Geissler et al., “Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries,†J. Cancer Res. Clin. Oncol., vol. 143, no. 7, pp. 1167–1176, 2017. https://doi.org/10.1007/s00432-017-2372-z

W. Shahin, G. A. Kennedy, and I. Stupans, “The impact of personal and cultural beliefs on medication adherence of patients with chronic illnesses: A systematic review,†Patient Prefer. Adherence, vol. 13, pp. 1019–1035, 2019. https://doi.org/10.2147/PPA.S212046

E. Wiecek, F. S. Tonin, A. Torres-Robles, S. I. Benrimoj, F. Fernandez-Llimos, and V. Garcia-Cardenas, “Temporal effectiveness of interventions to improve medication adherence: A network meta-analysis,†PLoS One, vol. 14, no. 3, pp. 7–9, 2019. https://doi.org/10.1371/journal.pone.0213432

N. K. Choudhry et al., “Effect of reminder devices on medication adherence: The REMIND randomized clinical trial,†JAMA Intern. Med., vol. 177, no. 5, pp. 624–631, 2017. https://doi.org/10.1001/jamainternmed.2016.9627

F. A. Ramadhan, A. Rakhmatsyah, and R. Yasirandi, “Schedule Control System for Wearable Medicine Box Using Bluetooth Low Energy,†2019 Int. Conf. Comput. Sci. Inf. Technol. ICoSNIKOM 2019, pp. 3–8, 2019. https://doi.org/10.1109/ICoSNIKOM48755.2019.9111618

D. Mohanapriya, V. Deepika, M. ShanmughaPriya, and C. Sivasankari Yogeswari, “A Real Time Support System to Impart Medicine using Smart Dispenser,†2020 Int. Conf. Syst. Comput. Autom. Networking, ICSCAN 2020, pp. 1–10, 2020. https://doi.org/10.1109/ICSCAN49426.2020.9262424

V. Doshi, N. Mehta, S. Dey, and R. Prasad, “An IoT based smart medicine box,†International Journal of Advance Research, Ideas and Innovations in Technology, vol. 5, no. 1, pp. 205–207, 2019. https://www.ijariit.com/manuscript/an-iot-based-smart-medicine-box/

C. Gulden et al., “Prototypical clinical trial registry based on fast healthcare interoperability resources (FHIR): Design and implementation study,†JMIR Med. Informatics, vol. 9, no. 1, pp. 1–13, 2021. https://doi.org/10.2196/20470

S. El-Sappagh, F. Ali, A. Hendawi, J. H. Jang, and K. S. Kwak, “A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard,†BMC Med. Inform. Decis. Mak., vol. 19, no. 1, pp. 1–36, 2019. https://doi.org/10.1186/s12911-019-0806-z

M. Lehne, S. Luijten, P. V. F. G. Imbusch, S. Thun, and others, “The Use of FHIR in Digital Health-A Review of the Scientific Literature.,†GMDS, no. September, pp. 52–58, 2019. https://doi.org/10.3233/shti190805

I. A. Sawaneh, A. Kamara, and J. H. Koroma, “A Computerized Patient’s Database Management System,†Int. J. Comput. Sci. Inf. Technol. Res., vol. 6, no. 2, pp. 6–10, 2018. http://dx.doi.org/10.13140/RG.2.2.12642.22728

T. Lv, P. Yan, and W. He, “Survey on JSON Data Modelling,†J. Phys. Conf. Ser., vol. 1069, no. 1, 2018. https://doi.org/10.1088/1742-6596/1069/1/012101

A. R. Breje, R. Gyorödi, C. Gyorödi, D. Zmaranda, and G. Pecherle, “Comparative study of data sending methods for XML and JSON models,†Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 12, pp. 198–204, 2018. https://doi.org/10.14569/IJACSA.2018.091229

M. Ayaz Sr, M. F. Pasha 2nd, M. Y. Alzahrani 3rd, R. Budiarto 4th, and D. Stiawan 5th, “Fast Health Interoperability Resources Standard: A Systematic Literature Review (Preprint),†JMIR Med. Informatics, vol. 9, pp. 1–21, 2020. https://doi.org/10.2196/21929

G. William, R. Anthony, and J. Purnama, “Development of NodeJS based Backend System with Multiple Storefronts for Batik Online Store,†ACM Int. Conf. Proceeding Ser., 2020. https://doi.org/10.1145/3429789.3429830

J. Kumar and V. Garg, “Security analysis of unstructured data in NOSQL MongoDB database,†2017 Int. Conf. Comput. Commun. Technol. Smart Nation, IC3TSN 2017, vol. 2017-Octob, pp. 300–305, 2018. https://doi.org/10.1109/IC3TSN.2017.8284495

F. S. Alshraiedeh and N. Katuk, “A URI parsing technique and algorithm for anti-pattern detection in RESTful Web services,†Int. J. Web Inf. Syst., vol. 17, no. 1, pp. 1–17, 2021. https://doi.org/10.1108/IJWIS-08-2020-0052

A. R. Wiratno and K. Hastuti, “Implementation of Firebase Realtime Database to Track BRT Trans Semarang,†Sci. J. Informatics, vol. 4, no. 2, pp. 95–103, 2017. https://doi.org/10.15294/sji.v4i2.10829

A. N. A. Yusuf, F. Y. Zulkifli, and I. W. Mustika, “Development of Monitoring and Health Service Information System to Support Smart Health on Android Platform,†4th Int. Conf. Nano Electron. Res. Educ. Towar. Adv. Imaging Sci. Creat. ICNERE 2018, pp. 3–8, 2019. https://doi.org/10.1109/ICNERE.2018.8642592

T. Hagos, “Android Studio,†in Learn Android Studio 3, Apress, Berkeley, CA, 2018, pp. 5–17. https://doi.org/10.1007/978-1-4842-3156-2_2

S. Bose, “a Comparative Study: Java Vs Kotlin Programming in Android Application Development,†Int. J. Adv. Res. Comput. Sci., vol. 9, no. 3, pp. 41–45, 2018. https://doi.org/10.26483/ijarcs.v9i3.5978

V. Oliveira, L. Teixeira, and F. Ebert, “On the Adoption of Kotlin on Android Development: A Triangulation Study,†SANER 2020 - Proc. 2020 IEEE 27th Int. Conf. Softw. Anal. Evol. Reengineering, pp. 206–216, 2020. https://doi.org/10.1109/SANER48275.2020.9054859

B. De, “API Testing Strategy,†in API Management, Apress, Berkeley, CA, 2017, pp. 153–164. https://doi.org/10.1007/978-1-4842-1305-6_9

J. Agnihotri and R. Phalnikar, “Development of performance testing suite using apache JMeter,†Adv. Intell. Syst. Comput., vol. 673, pp. 317–326, 2018. https://doi.org/10.1007/978-981-10-7245-1_32

R. Abbas, Z. Sultan, and S. Nazir B, “Comparative Analysis of Single-Core and,†Int. Conf. Commun. Technol., vol. 7, no. 6, pp. 117–130, 2017. https://doi.org/10.5121/ijcsit.2015.7610

P. Danielsson, T. Postema, and H. Munir, “Heroku-based innovative platform for web-based deployment in product development at axis,†IEEE Access, vol. 9, pp. 10805–10819, 2021. https://doi.org/10.1109/ACCESS.2021.3050255

A. Khasawneh, H. Rogers, J. Bertrand, K. C. Madathil, and A. Gramopadhye, “Human adaptation to latency in teleoperated multi-robot human-agent search and rescue teams,†Autom. Constr., vol. 99, no. January 2018, pp. 265–277, 2019. https://doi.org/10.1016/j.autcon.2018.12.012

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Published

2021-09-01

How to Cite

Ramadhani, A. M., Rakhmatsyah, A., & Yasirandi, R. (2021). Analysis and Implementation of Microservice Architecture Related to Patient Drug Schedule Based on FHIR Standard. Jurnal Ilmiah Teknik Elektro Komputer Dan Informatika, 7(2), 296–305. https://doi.org/10.26555/jiteki.v7i2.21169

Issue

Vol. 7 No. 2 (2021): August

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Articles

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