Evaluasi Pemanfaatan PACS dan RIS Rumah Sakit Provinsi Yogyakarta, Indonesia

https://doi.org/10.22146/jkesvo.92887

Ajeng Viska Icanervilia(1), Lina Choridah(2), Amri Wicaksono Pribadi(3), Afif Rahman(4), Abdi Marang Gusti(5), Azizah Huwaida(6), Dyan Pramandita Windu Kusumasari(7), Aurisa Winda Kusumawardani(8), Freshilla Sonia Frinces(9), Nurhuda Hendra Setyawan(10*)

(1) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada Department of Health Sciences, University of Groningen
(2) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(3) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(4) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(5) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(6) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(7) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(8) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(9) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(10) Departemen Radiologi, Fakultas Kedokteran Kesehatan Masyarakat dan Keperawatan, Universitas Gadjah Mada
(*) Corresponding Author

Abstract


Latar   Belakang:    Permintaan pemeriksaan radiologi di kalangan profesional kesehatan terus meningkat. Meskipun Picture Archiving and Communication System (PACS) dan Radiology Information System (RIS) telah diterapkan di RSUP Dr. Sardjito selama dua tahun, tetapi sistem tersebut masih kurang dimanfaatkan. Sistem tersebut sangat penting diterapkan untuk interpretasi yang akurat dan distribusi hasil pencitraan yang tepat waktu.

Tujuan: Penelitian ini bertujuan untuk mengevaluasi pemanfaatan PACS dan RIS oleh tenaga medis di RSUP Dr. Sardjito.

Metode: Penelitian ini merupakan penelitian kualitatif dengan metode wawancara mendalam. Responden dipilih berdasarkan metode purposive-maximum variety sampling. Metode wawancara menggunakan rekaman audio dan transkrip secara verbatim yang dianalisis secara tematik.

Hasil: Penelitian ini menghasilkan 3 tema, yaitu: a) Manfaat PACS  dan RIS; b) Feedback terhadap PACS   dan  RIS; c) Pelatihan meningkatkan pemahaman & pemanfaatan PACS   dan RIS. PACS dan RIS dapat mempersingkat waktu pelayanan kesehatan dan membantu staf medis bekerja secara efisien. Selain itu, sosialisasi dan pelatihan PACS dan RIS juga membawa dampak positif dalam implementasinya, meskipun beberapa responden masih mengandalkan hard film karena keterbatasan akses komputer.

Kesimpulan: Penerapan PACS dan RIS meningkatkan kualitas pelayanan rumah sakit. Optimalisasi pemanfaatan sistem PACS dan RIS memerlukan lebih banyak komputer di rumah sakit, pembaruan fitur di telepon seluler, dan pelatihan bagi pengguna


Keywords


radiology information system (RIS); picture archiving and communication system (PACS); telemedicine; teleradiology

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References

Abbas, R., & Singh, Y. (2019). Pacs implementation challenges in a public healthcare institution: A south african vendor perspective. Healthcare Informatics Research, 25(4), 324–331. https://doi.org/10.4258/hir.2019.25.4.324

Abbasi, R., Sadeqi Jabali, M., Khajouei, R., & Tadayon, H. (2020). Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS). BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-01203-0

Alhajeri, M., & Shah, S. G. S. (2019). Limitations in and Solutions for Improving the Functionality of Picture Archiving and Communication System: an Exploratory Study of PACS Professionals’ Perspectives. Journal of Digital Imaging, 32(1), 54–67. https://doi.org/10.1007/s10278-018-0127-2

Bergen, N., & Labonté, R. (2020). “Everything Is Perfect, and We Have No Problems”: Detecting and Limiting Social Desirability Bias in Qualitative Research. Qualitative Health Research, 30(5), 783–792. https://doi.org/10.1177/1049732319889354

Braun, V., Clarke, V., Hayfield, N., & Terry, G. (2019). Handbook of Research Methods in Health Social Sciences. https://doi.org/doi:10.1007/978-981-10-5251-4_103

Chen, Q. (2019). Toward realizing self-protecting healthcare information systems: Design and security challenges. Advances in Computers, 114, 113–149. https://doi.org/10.1016/BS.ADCOM.2019.02.003

Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0217-0

Eichelberg, M. , Kleber, K. , & Kämmerer, M. (2020). Cybersecurity challenges for PACS and medical imaging: Vol. 27(8). Academic Radiology.

Elahi, A., Dako, F., Zember, J., Ojetayo, B., Gerus, D. A., Schweitzer, A., Mollura, D. J., & Awan, O. (2020). Overcoming Challenges for Successful PACS Installation in Low-Resource Regions: Our Experience in Nigeria. Journal of Digital Imaging, 33(4), 996–1001. https://doi.org/10.1007/s10278-020-00352-y

Jawawi, D. N., Bajwa, I. S., & Kazmi, R. (2022). Engineering Software for Modern Challenges. Springer International Publishing.

Khaleel, H. H., Rahmat, R. O. K., & Zamrin, D. M. (2018). Components and implementation of a picture archiving and communication system in a prototype application. Reports in Medical Imaging, 11, 1–8. https://doi.org/10.2147/RMI.S179268

Khandpur, R. S. (2020). Compendium of Biomedical Instrumentation (Vol. 1). John Wiley & Sons.

Konstantinidis, K., & Apostolakis, I. (2020). Investigation of RIS/PACS Information Systems’ Incorporation in Greek Public Hospitals. Radiography Open, 6(1), 32–44. https://doi.org/10.7577/radopen.4007

Lovis, C. , & Cort Madsen, I. (2020). Digital Personalized Health and Medicine: Proceedings of MIE 2020. IOS Press.

Norris, E. C., Halaska, C., Sachs, P. B., Lin, C. T., Sanfilippo, K., & Honce, J. M. (2022). Understanding Patient Experiences, Opinions, and Actions Taken After Viewing Their Own Radiology Images Online: Web-Based Survey. JMIR Formative Research, 6(4). https://doi.org/10.2196/29496

Open Medscience. (2019). Security and Privacy Considerations in Picture Archiving and Communication Systems. https://openmedscience.com/picture-archiving-communication-systems/

Radsource. (2023). The Benefits of Best-in-Class PACS and RIS Providers in Medical Imaging. https://radsource.us/the-benefits-of-best-in-class-pacs-and-ris-providers-in-medical-imaging/

Roshan Sabeeha, Jacelyn Yun Qian Wong, Yi Zhen Loh, Christoper Lai, & Hajmath Begum Mohamed Sali. (2023). The Impacts of Integrating Picture Archiving and Communication System (PACS) in Medical Education on Trainees (pp. 65–80). Springer Link.

Sandhu, M. S., Garg, A., & Gupta, A. K. (2022). Advances in Imaging Technology (S. Sharma, A. Kumar, & S. Gamanagatti, Eds.). Jaypee Brothers Medical .

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. https://doi.org/10.1016/j.imu.2023.101266

Tanikawa, T., Yagahara, A., Fukuda, A., Suzuki, T., Ando, D., Harada, K., Karata, S., & Uesugi, M. (2022). Variation of the Implementation of PACS Functions and Image Data Management: Questionnaire Survey in Hokkaido Prefecture. Nihon Hoshasen Gijutsu Gakkai Zasshi, 78(3), 270–279.

Tshalibe, P., Adrigwe, J., Lucas, S., & Baragwanath, C. H. (2023). Clinicians perspective of picture archiving and communication systems at Charlotte Maxeke Johannesburg Academic Hospital. SA Journal of Radiologu, 27(1), 1–9. https://doi.org/10.4102/sajr

Wang, L., Li, L., Li, J., Li, J., Gupta, B. B., & Liu, X. (2019). Compressive sensing of medical images with confidentially homomorphic aggregations. IEEE Internet of Things Journal, 6(2), 1402–1409. https://doi.org/10.1109/JIOT.2018.2844727

Zhang Yu Dong, & Arun Kumar Sangaiah. (2021). Cognitive Systems and Signal Processing in Image Processing. Academic Press.



DOI: https://doi.org/10.22146/jkesvo.92887

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