RANCANGAN SISTEM INFORMASI PENDAFTARAN PASIENSECARA DIGITAL DI PRAKTIK MANDIRI BIDAN (PMB)SETYA BUDI UTAMI, S. TR. KEB
DOI:
https://doi.org/10.62710/9tmz2g61Keywords:
Digitalisasi, pendaftaran pasien, praktik mandiri bidan, sistem informasi, usabilityAbstract
Di era digital, penerapan sistem informasi terkomputerisasi menjadi elemen krusial dalam peningkatan kualitas layanan kebidanan, dengan mendukung efisiensi administrasi serta meningkatkan akurasi dan efektivitas pelayanan kesehatan. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi pendaftaran pasien secara digital di Praktik Mandiri Bidan (PMB) guna meningkatkan efisiensi layanan dan manajemen data pasien. Metode yang digunakan adalah kuantitatif deskriptif dengan pendekatan pengembangan sistem berbasis model waterfall, yang mencakup analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Evaluasi sistem dilakukan menggunakan System Usability Scale (SUS) untuk mengukur tingkat kemudahan penggunaan dan efektivitas sistem. Hasil penelitian menunjukkan bahwa sistem pendaftaran digital yang dikembangkan memiliki usability yang sangat baik dengan rata-rata skor SUS sebesar 82,5. Pengguna merasa sistem ini mudah digunakan, memiliki antarmuka yang intuitif, dan meningkatkan efisiensi operasional. Selain itu, keamanan data pasien meningkat melalui fitur enkripsi dan autentikasi pengguna. Meskipun demikian, masih terdapat inkonsistensi dalam tampilan dan navigasi yang perlu diperbaiki untuk meningkatkan pengalaman pengguna. Secara keseluruhan, sistem ini memberikan manfaat signifikan bagi PMB, seperti percepatan proses pendaftaran, pengurangan antrean, serta peningkatan kepuasan pasien dan tenaga medis.
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References
Agunga, L. A., Agola, J., & Abuonji, P. (2021). Enhanced Information Systems Success Model for Patient Information Assurance. Journal of Computer Science Research, 3(4), 31–42. https://doi.org/10.30564/jcsr.v3i4.3734
Almalawi, A., Khan, A. I., Alsolami, F., Abushark, Y. B., & Alfakeeh, A. S. (2023). Managing Security of Healthcare Data for a Modern Healthcare System. Sensors, 23(7), 3612. https://doi.org/10.3390/s23073612
Araujo Inastrilla, C. R. (2022). Big Data in Health Information Systems. Seminars in Medical Writing and Education, 1, 6. https://doi.org/10.56294/mw20226
Azhar, Z. (2023). Making Applications for Midwives’ Independent Practice Using the Waterfall Method. Journal of Health Science and Medical Therapy, 1(01), 30–37. https://doi.org/10.59653/jhsmt.v1i01.144
Bardhan, I. R., & Thouin, M. F. (2013). Health Information Technology and its Impact on the Quality and Cost of Healthcare Delivery. Decision Support Systems, 55(2), 438–449. https://doi.org/10.1016/j.dss.2012.10.003
Barokah, L., Dewi Zolekhah, & Laili Rahmatul Ilmi. (2024). Migration of Midwifery Care Documentation to Medical Records. Lentera Perawat, 5(2), 267–271. https://doi.org/10.52235/lp.v5i2.320
Cachata, D., Costa, M., Magalhães, T., & Gaspar, F. (2024). The Integration of Information Technology in the Management and Organization of Nursing Care in a Hospital Environment: A Scoping Review. International Journal of Environmental Research and Public Health, 21(8), 968. https://doi.org/10.3390/ijerph21080968
Caxias de Souza, M., Santos, S. R. dos, Holmes, E. S., De Medeiros, A. L., Pereira, W. D. de F., Arruda, A. J. C. G. de, De Mendonça Faustino e Freitas, W., Pereira de Souza Avelino, J. P., & Pedrosa Leite, N. (2017). Information and Communication Technology for Obstetric Good Practices. International Archives of Medicine, 10. https://doi.org/10.3823/2351
Farrahi, R., Rangraz Jeddi, F., Nabovati, E., Sadeqi Jabali, M., & Khajouei, R. (2019). The Relationship between User Interface Problems of an Admission, Discharge and Transfer Module and Usability Features: a Usability Testing Method. BMC Medical Informatics and Decision Making, 19(1), 172. https://doi.org/10.1186/s12911-019-0893-x
Hong, K. S., & Lee, D. (2018). Impact of Operational Innovations on Customer Loyalty in the Healthcare Sector. Service Business, 12(3), 575–600. https://doi.org/10.1007/s11628-017-0355-4
Jabeen, S., Rahman, M., Siddique, A. B., Hasan, M., Matin, R., Rahman, Q. S., AKM, T. H., Alim, A., Nadia, N., Mahmud, M., Islam, J., Islam, M. S., Haider, M. S., Dewan, F., Begum, F., Barua, U., Anam, M. T., Islam, A., Razzak, K. S. Bin, … Rahman, A. E. (2024). Introducing a Digital Emergency Obstetric and Newborn Care Register for Indoor Obstetric Patient Management: An Implementation Research in Selected Public Health Care Facilities of Bangladesh. Journal of Global Health, 14, 04075. https://doi.org/10.7189/jogh.14.04075
Malani, S. N., Shrivastava, D., & Raka, M. S. (2023). A Comprehensive Review of the Role of Artificial Intelligence in Obstetrics and Gynecology. Cureus. https://doi.org/10.7759/cureus.34891
Nguyen, Q., Wybrow, M., Burstein, F., Taylor, D., & Enticott, J. (2022). Understanding the Impacts of Health Information Systems on Patient Flow Management: A Systematic Review Across Several decades of research. PLOS ONE, 17(9), e0274493. https://doi.org/10.1371/journal.pone.0274493
Roham, M., Gabrielyan, A. R., & Archer, N. P. (2012). Predicting the Impact of Hospital Health Information Technology Adoption on Patient Satisfaction. Artificial Intelligence in Medicine, 56(2), 123–135. https://doi.org/10.1016/j.artmed.2012.08.001