Acceptance Behavior of Electronic Prescription System

Rapitos Sidiq


Electronic prescription is one of information systems to support medical services based on computer technology to support clinical decision (Clinical Decision Support, CDS). Studies proved that the use of this system can decrease medication error. One of the hospitals that have applied this system is Meuraxa Hospital. This study aimed to determine the acceptance behavior of electronic prescription information systems. The respondents of this study were 30 doctors at specialist clinic. Data was collected by distributing questionnaires on August 1st-23rd, 2016. Data was processed using SmartPLS 3.0. Results showed that there was a positive effect of effort expectancy factor on behavioral intention and facilitating factors on the use behavior towards receipt of electronic prescription. It is expected that the management of Meuraxa hospital develop an existing electronic prescription system by accommodating the needs of the system users.

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Aggelidis, Vassilios P, and Prodromos D Chatzoglou. 2008. Using a Modified Technology Acceptance Model in Hospitals. Int J Med Inform, 8: 11526.

Appari, A., E. K. Carian, M. E. Johnson, and D. L. Anthony. 2012. Medication Administration Quality and Health Information Technology: A National Study of US Hospitals. Journal of the American Medical Informatics Association 19: 36067.

Aqil, Anwer, Theo Lippeveld, and Dairiku Hozumi. 2009. PRISM Framework : A Paradigm Shift for Designing, Strengthening and Evaluating Routine Health Information Systems. Health Policy And Planning: 21728.

Asyary, Al, Hari Kusnanto, and Anis Fuad. 2013. Sistem Peresapan Elektronik Pada Keselamatan Pengobatan Pasien Computerized Physician Order Entry on Patient Medication Safety. Jurnal Kesehatan Masyarakat UI 8(3): 12532.

Benmessaoud, Christine, Hadi Kharrazi, and Karl F Macdorman. 2011. Facilitators and Barriers to Adopting Robotic-Assisted Surgery : Contextualizing the Unified Theory of Acceptance and Use of Technology. Plos One, 6(1).

Dhavle, AA, & Rupp, MT. 2015. Towards creating the perfect electronic prescription. Journal of American Medical Informatics Association, 22 : 12.

Eslami, S, de Keizer NF, and Abu-Hanna AA. 2007. The Impact of Computerized Physician Medication Order Entry in Hospitalized Patients-A Systematic Review. International Journal of Medical Informatic, 77: 36576.

Hahn, A, & Lovett, A. 2014. Electronic Prescribing: An Examination of Cost Effectiveness, Clinician Adoption and Limitations. Universal Journal of Clinical Medicine, 2(1): 1-24.

Holden Richard J. 2010. Physicians Beliefs About Using Emr And Cpoe: In Pursuit Of A Contextualized Understanding Of Health It Use Behavior. National Institute of Health 79(2): 116.

Hoonakker, P. L. T. et al. 2012. Changes in End-User Satisfaction with Computerized Provider Order Entry over Time among Nurses and Providers in Intensive Care Units. Journal of the American Medical Informatics Association, 20(2) : 25259.

Hoonakker, Peter L T, Pascale Carayon, and James M Walker. 2010. Measurement of CPOE End-User Satisfaction among ICU Physicians and Nurses. Applied Clinical Informatics, 1(3): 26885.

Indrajit, Richardus Eko. 2009. Manajemen Sistem Informasi. Pengantar Konsep Dasar Manajemen sistem informasi dan teknologi informasi.

Kruse, Clemens Scot, and Kristina Goetz. 2015. Summary and Frequency of Barriers to Adoption of CPOE in the U.S. Journal of Medical Systems 39(2).

Maharani, Chatila. 2009. Sistem Manajemen Mutu ISO 9000 Sebagai Alat Pengikatan Kualitas Organiasasi Pelayanan Kesehatan. Jurnal Kesehatan Masyarakat Universitas Negeri Semarang 8(2): 11320.

North, Frederick et al. 2014. Clinical Decision Support Improves Quality of Telephone Triage Documentation--an Analysis of Triage Documentation before and after Computerized Clinical Decision Support. BMC Medical Informatics and Decision Making, 14(1): 20.

Raimbault-Chupin, et al. 2013. Drug related problems and pharmacist interventions in a geriatric unit employing electronic prescribing. International Journal of Clinical Pharmacy, 35(5): 847-53.

Phichitchaisopa, N & Naenna, T. 2013. Factors Affecting the Adoption of Healthcare Information Technology. Experimental and Clinical Science Journal, 12: 413-436.

Poon, E. G. et al. 2004. Overcoming Barriers To Adopting And Implementing Computerized Physician Order Entry Systems In U.S. Hospitals. Health Affairs 23(4): 18490.

Schreiber, R, K Peters, and S H Shaha. 2014. Computerized Provider Order Entry Reduces Length of Stay in a Community Hospital. Applied clinical informatics, 5: 68598.

Tsai, Chung-Hung. 2014. Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems. International Journal of Environmental Research and Public Health, 11(5): 490525.

Vekantes, V, Morris, M, Davis G., Davis, G., Davis F. 2009. Tecnology Acceptance Model - Research : 17.