An Enterprise Architecture Blueprint for HL7-Based RIS–PACS Integration Using TOGAF ADM: A Mobile Diagnostic Access Framework

Authors

  • Wandi Purnama Department of Information Technology, Pradita University, Tangerang, Indonesia
  • Richardus Eko Indrajit Department of Information Technology, Pradita University, Tangerang, Indonesia
  • Januponsa Dio Firizqi Department of Information Technology, Pradita University, Tangerang, Indonesia

DOI:

10.33395/sinkron.v10i2.15825

Keywords:

Enterprise Architecture, TOGAF ADM, HL7 Interoperability, RIS-PACS Integration, Health Informatics

Abstract

The shift to digital radiology is frequently hindered by data fragmentation and restricted mobility for healthcare professionals. This research addresses these deficiencies by developing an Enterprise Architecture (EA) blueprint for hospital radiology departments using the TOGAF ADM framework. The design emphasizes HL7 standards for administrative data transfer and DICOM protocols for imaging, featuring a web-based Mobile Viewer using the WADO protocol for remote high-resolution access. Architectural validation via gap analysis demonstrates that the proposed integration can theoretically eliminate manual data entry between HIS and RIS-PACS through an HL7 broker mechanism, potentially shortening clinical report turnaround times. However, this study is limited to architectural validation and does not include live clinical deployment. The proposed architecture offers a scalable roadmap for "film-less" environments, though further longitudinal studies are required to assess long-term clinical user satisfaction.

 

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References

AboArab, M. A., Potsika, V. T., Theodorou, A., Vagena, S., Gravanis, M., Sigala, F., & Fotiadis, D. I. (2024). Advancing progressive web applications to leverage medical imaging for visualization of Digital Imaging and Communications in Medicine and multiplanar reconstruction: Software development and validation study. JMIR Medical Informatics, 12, e63834. https://doi.org/10.2196/63834

Aisyah, D. N., Setiawan, A. H., Lokopessy, A. F., Faradiba, N., Setiaji, S., Manikam, L., & Kozlakidis, Z. (2024). The information and communication technology maturity assessment at primary health care services across 9 provinces in Indonesia: Evaluation study. JMIR Medical Informatics, 12, e55959. https://doi.org/10.2196/55959

Alghamdi, H. (2024). Assessing the impact of enterprise architecture on digital transformation success: A global perspective. Sustainability, 16(20), 8865. https://doi.org/10.3390/su16208865

Behnam, F., Khajouei, R., & Ahmadian, L. (2024). The retention duration of digital images in picture archiving and communication systems. Heliyon, 10(6), e27847. https://doi.org/10.1016/j.heliyon.2024.e27847

Clunie, D. A., Roth, C. J., Petersilge, C. A., Cram, D., Towbin, A. J., Berkowitz, S. J., & Barnosky, V. (2024). HIMSS-SIIM enterprise imaging community white papers: Reflections and future directions. Journal of Imaging Informatics in Medicine, 37, 429–443. https://doi.org/10.1007/s10278-024-00992-4

Denner, S., Zimmerer, D., Bounias, D., Bujotzek, M., Xiao, S., Stock, R., Kausch, L., Schader, P., Penzkofer, T., Jäger, P. F., & Maier-Hein, K. (2025). Leveraging foundation models for content-based image retrieval in radiology. Computers in Biology and Medicine, 196(Part A), 110640. https://doi.org/10.1016/j.compbiomed.2025.110640

Fang, J., Zheng, G., Feng, J., Cai, L., Zhang, J., & Wang, Q. (2025). Operational optimization in radiology: An intelligent information management platform significantly enhances workflow efficiency and user satisfaction. Journal of Radiation Research and Applied Sciences, 18(3), 101792. https://doi.org/10.1016/j.jrras.2025.101792

Gazzarata, R., Almeida, J., Lindsköld, L., Cangioli, G., Gaeta, E., Fico, G., & Chronaki, C. E. (2024). HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review. International Journal of Medical Informatics, 189, 105507. https://doi.org/10.1016/j.ijmedinf.2024.105507

Guedes, J., Duarte, J., Manuel, M., Quintas, C., Cunha, J., Guimarães, T., & Santos, M. F. (2024). Interoperability Architecture proposal for Adaptive Business Intelligence Systems in Healthcare Environments. Procedia Computer Science, 238, 920-925. https://doi.org/10.1016/j.procs.2024.06.113

Harahap, N. C., Handayani, P. W., & Hidayanto, A. N. (2023). Integrated personal health record in Indonesia: Design science research study. JMIR Medical Informatics, 11, e44784. https://doi.org/10.2196/44784

Höfflin, J., Goschnick, P., Brecht, P., & Hahn, C. H. (2025). DPAF - Digital Platform Software Architecture Framework: Designing software architecture for digital platform business models linked to cyber-physical systems. Procedia CIRP, 136, 272-277. https://doi.org/10.1016/j.procir.2025.08.048

Idrissi-Yaghir, A., Arzideh, K., Schäfer, H., Eryilmaz, B., Bahn, M., Wen, Y., Borys, K., Hartmann, E., Schmidt, C., Pelka, O., Haubold, J., Friedrich, C. M., Nensa, F., & Hosch, R. (2025). Using a diverse test suite to assess large language models on Fast Health Care Interoperability Resources knowledge: Comparative analysis. Journal of Medical Internet Research, 27, e73540. https://doi.org/10.2196/73540

Kawa, J., Pyciński, B., Smoliński, M., Bożek, P., Kwasecki, M., Pietrzyk, B., & Szymański, D. (2022). Design and implementation of a cloud PACS architecture. Sensors, 22(21), 8569. https://doi.org/10.3390/s22218569

Kornyshova, E., & Deneckère, R. (2022). A proposal of a situational approach for enterprise architecture frameworks: Application to TOGAF. Procedia Computer Science, 207, 3499-3506. https://doi.org/10.1016/j.procs.2022.09.408

Lukáš, M., Ulman, M., Pavelka, M., Ambruz, P., & Vaněk, J. (2025). Support of project & program management of digital transformation initiatives by holistic enterprise architecture in sectors of national economy: A case of the Czech Republic. Procedia Computer Science, 256, 1542-1549. https://doi.org/10.1016/j.procs.2025.02.289

Mutasa, L., Ujakpa, M. M., Nyikana, W., Shaanika, I. N., & Iyamu, T. (2025). Application of enterprise architecture to guide the integration of health information systems in Namibia. Information Resources Management Journal (IRMJ), 38(1). https://doi.org/10.4018/IRMJ.367274

Oberle, M., Yesilyurt, O., Schlereth, A., Risling, M., & Schel, D. (2023). Enterprise IT architecture greenfield design combining IEC 62264 and TOGAF by example of battery manufacturing. Procedia Computer Science, 217, 136-146. https://doi.org/10.1016/j.procs.2022.12.209

Ohlsen, T., Ingenerf, J., Essenwanger, A., & Drenkhahn, C. (2024). PCEtoFHIR: Decomposition of postcoordinated SNOMED CT expressions for storage as HL7 FHIR resources. JMIR Medical Informatics, 12, e57853. https://doi.org/10.2196/57853

Panebianco, V., Briganti, A., Efstathiou, J. A., Galgano, S. J., Luk, L., Muglia, V. F., Redd, B., de Rooij, M., Takeuchi, M., Woo, S., Vargas, H. A., & Witjes, J. A. (2025). Multiparametric magnetic resonance imaging and Vesical Imaging-Reporting and Data System (VI-RADS) for bladder cancer diagnosis and staging: A guide for clinicians from the American College of Radiology VI-RADS Steering Committee. European Urology. https://doi.org/10.1016/j.eururo.2025.10.010

Pérez-Sanpablo, A. I., Quinzaños-Fresnedo, J., Gutiérrez-Martínez, J., Lozano-Rodríguez, I. G., & Roldan-Valadez, E. (2025). Transforming medical imaging: The role of artificial intelligence integration in PACS for enhanced diagnostic accuracy and workflow efficiency. Current Medical Imaging, 21. https://doi.org/10.2174/0115734056370620250403030638

Soares, A., Schilling, L. M., Richardson, J., Kommadi, B., Subbian, V., Dehnbostel, J., Shahin, K., Robinson, K. A., Afzal, M., Lehmann, H. P., Kunnamo, I., & Alper, B. S. (2024). Making science computable using evidence-based medicine on Fast Healthcare Interoperability Resources: Standards development project. Journal of Medical Internet Research, 26, e54265. https://doi.org/10.2196/54265

Steinhauser, S., & Welsch, S. (2025). Large language models in radiology workflows: An exploratory study of generative AI for non-visual tasks in the German healthcare system. Health Policy, 161, 105444. https://doi.org/10.1016/j.healthpol.2025.105444

Tabari, P., Costagliola, G., De Rosa, M., & Boeker, M. (2024). State-of-the-art Fast Healthcare Interoperability Resources (FHIR)-based data model and structure implementations: Systematic scoping review. JMIR Medical Informatics, 12, e58445. https://doi.org/10.2196/58445

Tadayon, H., Nafari, B., Khadem, G., Darrudi, R., & Sadeqi Jabali, M. (2023). Evaluation of Picture Archiving and Communication System (PACS): Radiologists’ perspective. Informatics in Medicine Unlocked, 39, 101266. https://doi.org/10.1016/j.imu.2023.101266

Tang, S. T., Tjia, V., Noga, T., Febri, J., Lien, C. Y., Chu, W. C., Chen, C. Y., & Hsiao, C. H. (2023). Creating a medical imaging workflow based on FHIR, DICOMweb, and SVG. Journal of Digital Imaging, 36, 794–803. https://doi.org/10.1007/s10278-021-00522-6

Tounaka, N., Yamamoto, S., & Shirnen, B. (2024). Unicage architecture development method. Procedia Computer Science, 239, 364-371. https://doi.org/10.1016/j.procs.2024.06.183

Vagena, Z., Wei, X., Kurtz, C., & Cloppet, F. (2025). Semantic aware representation learning for optimizing image retrieval systems in radiology. Pattern Recognition, 158, 111060. https://doi.org/10.1016/j.patcog.2024.111060

Xu, Q., Xu, X., Zhou, C., Liu, Z., Huang, F., Li, S., Zhu, L., Bai, Z., Xu, Y., & Hu, W. (2025). Towards normalized clinical information extraction in Chinese radiology report with large language models. Expert Systems with Applications, 271, 126585. https://doi.org/10.1016/j.eswa.2025.126585

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How to Cite

Purnama, W., Indrajit, R. E. . ., & Firizqi , J. D. . (2026). An Enterprise Architecture Blueprint for HL7-Based RIS–PACS Integration Using TOGAF ADM: A Mobile Diagnostic Access Framework. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 10(2), 905-916. https://doi.org/10.33395/sinkron.v10i2.15825