Abstract
The use of web-based information technology or online services can accelerate service delivery. Digitalisation of online health services is one of the growing issues, along with the increasing need for access to health services globally. However, there are things that must be considered in implementing an online health service system so the utilisation can be optimal. This study examines the factors that can support the optimisation of online service systems in health facilities so that innovation can continue to grow and provide benefits in the future. The authors conducted a literature review, with PRISMA guidelines according to the PEO (Population, Exposure, Outcome) method with a population focus on health facilities that use online health registration and service systems, both applications and web, and the success factors of using existing online systems when applied to users. A total of 607 articles were searched, and after selection, 22 articles fulfilled the inclusion criteria and research objectives. Analysis of each article illustrated that optimising online systems in healthcare should be fully integrated into clinical workflows and add value to patient care while offering easier processes and facilitating communication between healthcare services. User and provider engagement is also important in the development of online healthcare systems. It also needs to be supported by various parties, from the government to the healthcare provider level. Ultimately, optimising online systems in healthcare is very useful in effectively cutting down service delivery time to improve the quality of healthcare and health status in the future.
References
- Sun C, Chrysikou E, Savvopoulou E, Hernandez-Garcia E, Fatah gen. Schieck A. Healthcare Built Environment and Telemedicine Practice for Social and Environmental Sustainability. Sustain. 2023;15(3):1–16.
- Thekkur P, Fernando M, Nair D, Kumar AMV, Satyanarayana S, Chandraratne N, et al. Primary Health Care System Strengthening Project in Sri Lanka: Status and Challenges with Human Resources, Information Systems, Drugs and Laboratory Services. Healthc. 2022;10(11).
- Zahratonnisa, Wagino, Zaenuddin. Aplikasi Pendaftaran Pasien Secara Online dan Sistem Pelayanan Administrasi Kesehatan pada Puskesmas Tapin Utara. Repos Univ Islam Kalimantan. 2022;
- Garavand A, Ameri F, Salehi F, Talebi AH, Karbasi Z, Sabahi A. A Systematic Review of Health Management Mobile Applications in COVID-19 Pandemic: Features, Advantages, and Disadvantages. Biomed Res Int. 2024;2024(December 2019).
- Handayani PW, Dartanto T, Moeis FR, Pinem AA, Azzahro F, Hidayanto AN, et al. The Regional And Referral Compliance Of Online Healthcare Systems By Indonesia National Health Insurance Agency And Health-Seeking Behavior In Indonesia. Heliyon [Internet]. 2021;7(9):e08068. Available from: https://doi.org/10.1016/j.heliyon.2021.e08068
- Handayani PW, Meigasari DA, Pinem AA, Hidayanto AN, Ayuningtyas D. Critical success factors for mobile health implementation in Indonesia. Heliyon [Internet]. 2018;4(11):e00981. Available from: https://doi.org/10.1016/j.heliyon.2018.e00981
- Niu T, Lei B, Guo L, Fang S, Li Q, Gao B, et al. A Review of Optimization Studies for System Appointment Scheduling. Axioms. 2023;13(1):16.
- Yang PC, Chu FY, Liu HY, Shih MJ, Chen TJ, Chou LF, et al. Features of online hospital appointment systems in Taiwan: A nationwide survey. Int J Environ Res Public Health. 2019;16(2).
- Ruyobeza B, Grobbelaar SS, Botha A. Hurdles to developing and scaling remote patients’ health management tools and systems: a scoping review. Syst Rev [Internet]. 2022;11(1):1–24. Available from: https://doi.org/10.1186/s13643-022-02033-z
- Mirza M, Verma M, Aggarwal A, Satpathy S, Sahoo SS, Kakkar R. Indian Model of Integrated Healthcare (IMIH): a conceptual framework for a coordinated referral system in resource-constrained settings. BMC Health Serv Res [Internet]. 2024;24(1):42. Available from: https://doi.org/10.1186/s12913-023-10454-2
- Binkheder S, Aldekhyyel R, Almulhem J. Health informatics publication trends in Saudi Arabia: A bibliometric analysis over the last twenty-four years. J Med Libr Assoc. 2021;109(2):219–39.
- Chang F, Paramsothy T, Roche M, Gupta NS. Patient, staff, and clinician perspectives on implementing electronic communications in an interdisciplinary rural family health practice. Prim Heal Care Res Dev. 2017;18(2):149–60.
- Ward R. Impact Of An Open Access Appointment Scheduling System On No-Show Rates In An Urban Federally Qualified Health Center. Thesis. 2024 Mar;
- Edwards HB, Marques E, Hollingworth W, Horwood J, Farr M, Bernard E, et al. Use of a primary care online consultation system, by whom, when and why: Evaluation of a pilot observational study in 36 general practices in South West England. BMJ Open. 2017;7(11):1–10.
- Perialathan K, Johari MZ, Jaafar N, Yuke Lin K, Lee Lan L, Sodri NA, et al. Enhanced Primary Health Care Intervention: Perceived Sustainability and Challenges Among Implementers. J Prim Care Community Heal. 2021;12.
- Lin CF, Fu YC, Lin LS, Fu CS. Minimal Human Interaction in Hospitals: Effective Online Registration System Design. SAGE Open. 2022;12(3).
- Tanbeer SK, Sykes ER. MyHealthPortal – A web-based e-Healthcare web portal for out-of-hospital patient care. Digit Heal. 2021;7:1–23.
- Giordano V, Kojima KE, Valderrama-Molina CO, Azi ML, Bidolegui F, Pires RE. Adapting non-medical applications for medical use: Ethical limits, coverage, and validation. Injury. 2023;54:S74–80.
- Nazir M, Syed J, McDermott A. Digital transformation at Hall Green Health – A model for modern general practice. Futur Healthc J [Internet]. 2023;10(3):244–52. Available from:http://dx.doi.org/10.7861/fhj.2023-0091
- Serbanati LD. Health digital state and Smart EHR systems. Informatics Med Unlocked [Internet]. 2020;21:100494. Available from:https://doi.org/10.1016/j.imu.2020.100494
- Ahsan MM, Siddique Z. Industry 4.0 in Healthcare: A systematic review. Int J Inf Manag Data Insights [Internet]. 2022;2(1):100079. Available from: https://doi.org/10.1016/j.jjimei.2022.100079
- Cai Y, Song H, Wang S. Managing appointment-based services with electronic visits. Eur J Oper Res [Internet]. 2024;315(3):863–78. Available from: https://doi.org/10.1016/j.ejor.2024.01.012
- Meri A, Hasan MK, Danaee M, Jaber M, Jarrar M, Safei N, et al. Modelling the utilization of cloud health information systems in the Iraqi public healthcare sector. Telemat Informatics [Internet]. 2019;36(April 2018):132–46. Available from: https://doi.org/10.1016/j.tele.2018.12.001
- Agrawal D, Pang G, Kumara S. Preference based scheduling in a healthcare provider network. Eur J Oper Res [Internet]. 2023;307(3):1318–35. Available from: https://doi.org/10.1016/j.ejor.2022.09.027
- Meiyana NS, Susanto T, Rokhmah D, Yunanto RA, Rahmawati I, Hernawati S. Analysis of hospital management information system satisfaction using the end-user computing satisfaction method: A cross-sectional study. J Keperawatan Padjadjaran. 2023;11(1):4–11.
- Hulter P, Langendoen W, Pluut B, Schoonman GG, Luijten R, van Wetten F, et al. Patients’ choices regarding online access to laboratory, radiology and pathology test results on a hospital patient portal. PLoS One [Internet]. 2023;18(2 February):1–15. Available from: http://dx.doi.org/10.1371/journal.pone.0280768
Bahasa Abstract
Pemanfaatan teknologi informasi berbasis web atau layanan daring merupakan inovasi yang mampu mengakselerasi penyediaan layanan. Digitalisasi layanan kesehatan daring menjadi salah satu isu yang terus berkembang, seiring dengan meningkatnya kebutuhan akses layanan kesehatan secara global. Namun, ada beberapa hal yang harus diperhatikan dalam penerapan sistem layanan kesehatan daring agar pemanfaatannya dapat optimal. Penelitian ini mengkaji faktor-faktor yang dapat mendukung optimalisasi sistem layanan daring pada fasilitas kesehatan agar inovasi dapat terus berkembang dan memberikan manfaat di masa mendatang. Penulis melakukan studi pustaka secara sistematis, dengan pedoman PRISMA sesuai metode PEO (Population, Exposure, Outcome) dengan fokus populasi pada fasilitas kesehatan yang menggunakan sistem pendaftaran dan layanan kesehatan daring, baik aplikasi maupun web, serta melihat faktor keberhasilan penggunaan sistem daring yang ada saat diterapkan kepada pengguna. Dari penelusuran diperoleh total 607 artikel, dan setelah melalui seleksi dihasilkan 22 artikel yang memenuhi kriteria inklusi dan tujuan penelitian. Analisis setiap artikel menggambarkan pengoptimalan sistem daring dalam layanan kesehatan harus sepenuhnya terintegrasi ke dalam alur kerja klinis dan memberikan nilai tambah pada perawatan pasien sekaligus menawarkan proses yang lebih mudah dan memfasilitasi komunikasi antara layanan kesehatan. Keterlibatan pengguna dan penyedia juga penting dalam pengembangan sistem layanan kesehatan daring. Hal ini juga perlu didukung oleh berbagai pihak, mulai dari pemerintah hingga tingkat penyedia layanan kesehatan. Pada akhirnya, pengoptimalan sistem daring dalam layanan kesehatan sangat berguna dalam memangkas waktu pemberian layanan secara efektif untuk meningkatkan kualitas layanan kesehatan dan meningkatkan status kesehatan di masa mendatang.
Recommended Citation
Aprilano, Wendy Damar and Nadjib, Mardiati
(2024)
"Optimizing the Use of Online Systems in Health Care Facilities,"
Journal of Indonesian Health Policy and Administration: Vol. 9:
No.
3, Article 4.
DOI: 10.7454/ihpa.v9i3.1121
Available at:
https://scholarhub.ui.ac.id/ihpa/vol9/iss3/4