Designing A Prototype of Observation and Intervention Applications for Intensive Care Unit (ICU) Patients at Sultan Imanuddin Pangkalan Bun Hospital
DOI:
https://doi.org/10.30994/jnp.v8i2.476Keywords:
applications observation and intervention, ICU, patientAbstract
Background: The use of Information Technology (IT) for storing and retrieving patient data has advantages over paper, but faces challenges such as infrastructure problems, information technology, lack of needs assessment, cultural barriers, and high costs for software, hardware, and data exchange standards.
Purpose: Research was conducted to explore the design of a prototype observation and intervention application for Intensive Care Unit (ICU) patients at Sultan Imanuddin Pangkalan Bun Regional Hospital.
Methods: The design of this research is qualitative research with a phenomenological approach with the focus of the research directed at exploring the design of a prototype application for observation and intervention for Intensive Care Unit (ICU) patients at Sultan Imanuddin Hospital Pangkalan Bun. Apart from that, with a qualitative approach. The informants in this research were the owners or people in charge of the clinic, a total of 6 (six) people with triangulation of sources.
Results: The observation and intervention application in the ICU at Sultan Imanuddin Hospital aims to improve communication, reporting and quality of patient service, as well as increasing data accuracy. The main obstacles are network problems and adjusting application usage. Technical solutions, better network infrastructure, medical staff training and hospital support are needed. The main goal is reporting efficiency in emergency situations and rapid response to changes in the condition of ICU patients.
Conclusion: The Sultan Imanuddin Hospital ICU application aims to improve patient communication and reporting, but there are network problems and adjustments to the use of the application that need to be addressed.
Downloads
References
Adler-Milstein, J., et al. (2017). Electronic Health Record Adoption in US Hospitals: Progress Continues, But Challenges Persist. Health Affairs, 36(8), 1536-1544.
Al-Hajj, S., et al. (2019). Ethical, Legal, and Social Issues of Artificial Intelligence in Health. In Artificial Intelligence in Health (pp. 43-68). Springer.
Ammenwerth, E., et al. (2020). Patients as Source of Medical Records: Policies to Support Patients in Getting Hold of Their Own Health Data. Contribution of the IMIA Working Group on Technology Assessment & Quality Development. Yearbook of Medical Informatics, 29(1), 178-184.
Arabi, Y. M., Alshimemeri, A., Taher, S., Tamim, H. M., & Kahoul, S. H. (2019). The Impact of Implementing an Intensive Care Unit Information System on the Work Flow in a Medical Intensive Care Unit: A Prospective, Observational Study. Journal of Critical Care, 51, 12-17.
Bagayoko, C. O., et al. (2011). A Knowledge‐based Approach to the Dynamic Integration of Health Data. Journal of the American Medical Informatics Association, 18(6), 786-791.
Bai, G., Anderson, G. F., & Braddock, C. H. (2018). A More Transparent System for Hospitals to Report Adverse Events. JAMA, 319(16), 1633-1634.
Chiang, M. F., et al. (2016). Adoption and Perceptions of Electronic Health Record Systems by Ophthalmologists: An American Academy of Ophthalmology Survey. Ophthalmology, 123(1), 174-181.
Choi, J., Kim, Y., Park, J., Park, H., & Kim, D. (2020). Efficiency of an Electronic Medical Record-Integrated Alarm System for Early Detection of Clinically Deteriorating Patients. Journal of Critical Care, 57, 24-29.
Deldar, K., Bahaadinbeigy, K., & Tara, S. M. (2012). An Overview on the Implementation of Electronic Health Record. Procedia Computer Science, 17, 399-403.
Devarakonda, K. V., Zhang, M., Fuentes, S., & Kenneally, S. (2020). Continuous Monitoring of Physiologic Signals in the Intensive Care Unit Using a Novel Sensor Platform: A Prospective Feasibility Study. JMIR Medical Informatics, 8(2), e14429.
Foronda, C., et al. (2016). Use of Simulation in Teaching and Learning in Health Sciences: A Systematic Review. Journal of Nursing Education, 55(5), 270-277.
Gong, Y., et al. (2018). Data-Driven Ventilation Management in Intensive Care Unit. IEEE Transactions on Industrial Informatics, 14(5), 2003-2011.
Islam, S. R., et al. (2019). Understanding Factors Influencing the Adoption of mHealth by the Elderly: An Extension of the UTAUT Model. International Journal of Medical Informatics, 126, 118-127.
Khan, R. A., et al. (2017). Clinical Information Systems in Intensive Care Units: A Review. Computers in Biology and Medicine, 88, 52-70.
Kim, J., & Bates, D. W. (2017). Results of a Survey on Medical Record Review as a Tool in Medication Error Detection. Journal of General Internal Medicine, 32(11), 1266-1270.
Kruse, C. S., et al. (2016). Barriers to Electronic Health Record Adoption: A Systematic Literature Review. Journal of Medical Systems, 40(12), 252.
Kushniruk, A. W., & Patel, V. L. (2016). Cognitive and Usability Engineering Methods for the Evaluation of Clinical Information Systems. Journal of Biomedical Informatics, 39(2), 142-150.
Lee, J. Y., Lee, Y. H., Kim, H. W., & Jang, E. H. (2020). Family Satisfaction with Critical Care Nursing in an Intensive Care Unit. International Journal of Nursing Practice, 26(3), e12800.
Maguire, M. (2001). Methods to Support Human-Centered Design. International Journal of Human-Computer Interaction, 13(2), 91-102.
Raza, S., Standing, C., & Karim, A. (2018). An Empirical Study of User Satisfaction with Mobile Health Apps: The Impact of Usability and Usefulness. Technological Forecasting and Social Change, 134, 127-138.
Rothschild, J. M., Landrigan, C. P., Cronin, J. W., Kaushal, R., Lockley, S. W., Burdick, E., ... & Czeisler, C. A. (2005). The Critical Care Safety Study: The Incidence and Nature of Adverse Events and Serious Medical Errors in Intensive Care. Critical Care Medicine, 33(8), 1694-1700.
Schreiber, R., et al. (2019). Security and Privacy of Electronic Health Records: Concerns and Practices of Patients and Providers. Journal of Medical Internet Research, 21(10), e13.
Tawalbeh, L. I., & Ahmad, M. M. (2019). Nurses' Perceptions of Clinical Alarms in Intensive Care Units: A Cross-Sectional Survey. Journal of Critical Care, 51, 240-245.
Vincent, J. L., Marshall, J. C., & Namendys-Silva, S. A. (2018). Assessment of the Worldwide Burden of Critical Illness: The Intensive Care Over Nations (ICON) Audit. The Lancet Respiratory Medicine, 6(5), 361-363.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal Of Nursing Practice

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.