Analysis of Perianesthesia Patient Communication Needs as A Basis for Developing Sekala Chatbot Services
Keywords:
communication, patient, perianesthesia, sekala chatbotAbstract
Anesthesia is a crucial part of any surgical procedure, involving multiple communication processes between healthcare professionals and patients. Unfortunately, many patients report remaining confused even after surgery. Some patients felt the information they received was too brief, used difficult-to-understand medical terms, or was only provided once during the pre-operative period. This study aims to determine the communication needs of perianesthesia patients as a basis for developing the SEKALA chatbot service. The research design used was a correlational analytic study with a cross-sectional approach. The sample in this study was 217 respondents using a purposive sampling technique. Data collection used a standardized questionnaire with a Cronbach's Alpha value of 0.80. Bivariate analysis using the chi-square test was conducted to examine the relationship between communication needs and readiness to use the SEKALA chatbot. The level of pre-anesthesia patient communication needs was high. Most patients experienced moderate communication difficulties. The level of patient readiness to use the SEKALA chatbot was high. There was a significant relationship between the level of patient communication needs and readiness to use the SEKALA chatbot (p < 0.001). The SEKALA Chatbot digital service has the potential to be an innovative solution to support perianesthesia communication.
References
Almunawar, M. N., Anshari, M., & Hamdan, M. (2020). Improving patient engagement with health information systems using chatbots. Health Informatics Journal, 26(4), 2958–2971.
Chen, T.-L., Kuo, C.-H., Chen, C.-H., Chen, H.-S., & Liu, Y.-H. (2025). Development of an intelligent hospital information chatbot and evaluation of its system usability. Enterprise Information Systems, 19(3–4), 2464746.
Cheng, T., Li, Y., Gu, J., He, Y., He, G., Zhou, P., Li, S., Xu, H., Bao, Y., & Wang, X. (2024). The performance of ChatGPT in day surgery and pre-anesthesia risk assessment: a case-control study of 150 simulated patient presentations. Perioperative Medicine, 13(1), 111.
Fadhil, A., Gabrielli, S., & Schiavo, G. (2021). Digital health interventions for patient education and support: A review of chatbot applications. Journal of Medical Internet Research, 23(5), e23477.
Ghosh, A., Anand, A., Kumar, D., Roy, S., & Roy, A. D. (2026). Patient Engagement through Artificial Intelligence-Driven Solutions. In Artificial Intelligence in Smart Healthcare Systems (pp. 85–96). CRC Press.
Hidayat, R., Pratiwi, A., & Wulandari, E. (2022). Kendala komunikasi pasien dan tenaga medis dalam pelayanan praoperasi di rumah sakit umum daerah. Jurnal Keperawatan Indonesia, 25(3), 201–210.
Ho, C. M., Guan, S., Mok, P. K.-L., Lam, C. H. W., Ho, W. Y., Mak, C. H.-K., Qin, H., Wong, A. K. C., & Hui, V. (2025). Development and Validation of a Large Language Model–Powered Chatbot for Neurosurgery: Mixed Methods Study on Enhancing Perioperative Patient Education. Journal of Medical Internet Research, 27, e74299.
Juliansyah, R. (2024). Perancangan Dan Implementasi Chatbot Berbasis Telegram untuk Mengelola Rekam Medis Penderita Diabetes. Sekolah Tinggi Teknologi Terpadu Nurul Fikri.
Kurniawati, K. D., Kusumawati, A., & Prabamurti, P. N. (2020). Perilaku pencarian informasi kesehatan berdasarkan jenis kelamin di kalangan dewasa muda. Jurnal Kesehatan Masyarakat (e-JKM), 8(3), 412–420.
Liu, X., Zhang, R., & Wang, Z. (2021). Barriers to effective patient communication in preoperative care: A cross-sectional study. Patient Education and Counseling, 104(8), 2023–2030.
Louw, A., Diener, I., & Zimney, K. (2020). Preoperative education addressing postoperative pain: Review of the literature. Journal of Pain Research, 13, 813–827. https://doi.org/10.2147/JPR.S241841
Nugraheni, D., & Setyawan, A. (2022). Perbedaan perilaku pencarian informasi kesehatan antara laki-laki dan perempuan dewasa di Indonesia. Media Kesehatan Masyarakat Indonesia, 18(1), 54–62.
Novianti, A. E. (2024). Pengaruh Electronic Health Literacy Melalui Penggunaan Pengembangan E-Pasien Pada Klinik Penyakit dalam dan Bedah Untuk Mengurangi Waktu Tunggu di RSUD Provinsi Sulawesi Barat The Impact of Improving Electronic Health Literacy Specifically By Implementing E-Patient Programs in the Internal Medicine and Surgery Clinics to Diminish Waiting Times at West Sulawesi Provincial Hospital. Universitas Hasanuddin.
Noar, S. M., & Harrington, N. G. (2019). eHealth Applications: Promising Strategies for Behavior Change. New York: Routledge.
Putra, B. A., Arini, M., & Tamaranny, Y. K. T. (2025). Digital Innovations in Patient-Centered Care: The Emerging Role of Natural Language Processing. Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics, 7(4), 572–593.
Putri, R. M., Santoso, D., & Widodo, H. (2021). Hubungan literasi digital dan penerimaan teknologi terhadap penggunaan aplikasi kesehatan daring di masyarakat perkotaan. Jurnal Teknologi dan Kesehatan, 17(2), 102–110.
Rahmawati, D., Yusuf, A., & Rahayu, E. (2020). Hubungan usia dan pengalaman kesehatan dengan kesiapan menerima teknologi kesehatan digital. Jurnal Penelitian Kesehatan Suara Forikes, 11(2), 132–140.
Singh, R., Gondode, P., Duggal, S., Kumar,A., & Nayak, S. S. (2025). Comparison of artificial intelligence chatbots in delivering quality anaesthesia information for patients undergoing laparoscopic hernioplasty. British Journal of Anaesthesia, 134(4), 1261–1263.
Stancati, F. (2024). A Conversational Agent to Support Virtual Reality-based Training on the Life-saving Intraosseous Insertion Procedure. Politecnico di Torino.
Wang, Y., Chang, J., Fei, G., Zhou, Q., & Sun, D. (2025). Roy Adaptation Model-Based nursing care improves quality of life for elderly burn patients. American Journal of Translational Research, 17(6), 4679. https://doi.org/10.62347/UWNY6958
Yuliana, L., Fitria, D., & Utami, S. (2023). Penerimaan chatbot kesehatan pada pasien praoperasi berdasarkan tingkat literasi digital. Jurnal Keperawatan dan Informasi Kesehatan, 9(1), 77–86.
