Implementasi of technology acceptance model (TAM) in electronic documentation of nursing care: phenomenology explorative

Authors

DOI:

https://doi.org/10.31101/jhes.3052
Abstract views 335 times

Keywords:

computer self-efficacy, nursing care documentation, technology acceptance model implementation

Abstract

Incomplete medical record documentation affects the quality of service in hospitals. The migration of SIMRS is intended to allow hospital services to be integrated. The use of electronic medical records as a nursing care documentation tool needs to be evaluated in terms of the acceptance of technology through three constructs: the effect of benefits, the effect of ease of use of the system, and self-confidence in computing ability. The study aims to explore the nurses’ experiences of the influence of the benefits of using technology, the ease of use of technology, and nurses' self-confidence when using technology. This study used qualitative methodology with an exploratory phenomenological approach. Data were collected through FGDs with 12 participants selected by purposive sampling technique and consultation with information technology and nursing management experts. Data analysis used the Collaizi Model. The results obtained from this study indicate that the electronic care documentation system must consider the security system of the medical record and that obstacles to operating the system must be anticipated. Guidelines should be made for the application of 3S nursing care in EMR. Adapting to technology influences self-confidence in computing ability, the belief that technology can complete tasks, the usefulness of technology, and the ease of use of electronic documentation technology. It can be concluded that the evaluation of technology acceptance as early as possible is very important to support the successful use of information systems and provide input for management and policymakers in understanding the process of adaptation to new technologies and the creation of practical guidelines for the successful implementation of information systems.

Author Biography

Erny Kristiana Santoso, Universitas Karya Husada

KOMITE KEPERAWATAN

References

Abdekhoda, M., Dehnad, A., & Zarei, J. (2019). Determinant factors in applying electronic medical records in healthcare. Eastern Mediterranean Health Journal, 25(1), 24–33. https://doi.org/10.26719/emhj.18.007

Afrizal, S. H., Hidayanto, A. N., Handayani, P. W., Budiharsana, M., & Eryando, T. (2019). Narrative Review for Exploring Barriers to Readiness of Electronic Health Record Implementation in Primary Health Care. Healthcare Informatics Research, 25(3), 141–152. https://doi.org/10.4258/hir.2019.25.3.141

Ahmed, M. H., Bogale, A. D., Tilahun, B., Kalayou, M. H., Klein, J., Mengiste, S. A., & Endehabtu, B. F. (2020). Intention to use electronic medical record and its predictors among health care providers at referral hospitals, north-West Ethiopia, 2019: Using the unified theory of acceptance and use technology 2(UTAUT2) model. BMC Medical Informatics and Decision Making, 20(1), 207. https://doi.org/10.1186/s12911-020-01222-x

Alanazi, H. O., Zaidan, A. A., Zaidan, B. B., Kiah, M. L. M., & Al-Bakri, S. H. (2015). Meeting the Security Requirements of Electronic Medical Records in the ERA of High-Speed Computing. Journal of Medical Systems, 39(1), 165. https://doi.org/10.1007/s10916-014-0165-3

Aldosari, B., Al-Mansour, S., Aldosari, H., & Alanazi, A. (2018). Assessment of factors influencing nurses' acceptance of electronic medical record in a Saudi Arabia hospital. Informatics in Medicine Unlocked, 10, 82–88. https://doi.org/10.1016/j.imu.2017.12.007

Almarzouqi, A., Aburayya, A., & Salloum, S. A. (2022). Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach. PLOS ONE, 17(8), e0272735. https://doi.org/10.1371/journal.pone.0272735

Arikan, F., Kara, H., Erdogan, E., & Ulker, F. (2021). Barriers to Adoption of Electronic Health Record Systems from the Perspective of Nurses: A Cross-sectional Study. Computers, Informatics, Nursing: CIN, 40(4), 236–243. https://doi.org/10.1097/CIN.0000000000000848

Atasoy, H., Greenwood, B. N., & McCullough, J. S. (2019). The Digitization of Patient Care: A Review of the Effects of Electronic Health Records on Health Care Quality and Utilization. Annual Review of Public Health, 40, 487–500. https://doi.org/10.1146/annurev-publhealth-040218-044206

Balestra, M. L. (2017). Electronic Health Records: Patient Care and Ethical and Legal Implications for Nurse Practitioners. The Journal for Nurse Practitioners, 13(2), 105–111. https://doi.org/10.1016/j.nurpra.2016.09.010

Budiarto, R. (2017). Analisis faktor adopsi aplikasi mobile berdasarkan pengalaman, usia dan jenis kelamin menggunakan UTAUT2. Register: Jurnal Ilmiah Teknologi Sistem Informasi, 3(2), 114-126.

Cho, Y., Kim, M., & Choi, M. (2021). Factors associated with nurses’ user resistance to change of electronic health record systems. BMC Medical Informatics and Decision Making, 21(1), 218. https://doi.org/10.1186/s12911-021-01581-z

Chow, M., Chan, L., Lo, B., Chu, W.-P., Chan, T., & Lai, Y.-M. (2013). Exploring the intention to use a clinical imaging portal for enhancing healthcare education. Nurse Education Today, 33(6), 655–662. https://doi.org/10.1016/j.nedt.2012.01.009

Dehling, T., & Sunyaev, A. (2014). Secure provision of patient-centered health information technology services in public networks—Leveraging security and privacy features provided by the German nationwide health information technology infrastructure. Electronic Markets, 24(2), 89–99. https://doi.org/10.1007/s12525-013-0150-6

Durodolu, O. O. (2016). Technology Acceptance Model as a predictor of using information system’ to acquire information literacy skills. Library Philosophy and Practice (e-Journal).

Dwisatyadini, M., Hariyati, R. T. S., & Afifah, E. (2018). The effects of the application of SIMPRO on the completeness and time efficiency of nursing documentation in the outpatient instalation at Dompet Dhuafa Hospital Parung. IOP Conference Series: Materials Science and Engineering, 332, 012034. https://doi.org/10.1088/1757-899X/332/1/012034

Firdaus, M. (2020). Improving Patient Safety and Hospital Service Quality Through Electronic Medical Record: A Systematic Review. Jurnal Administrasi Rumah Sakit Indonesia, 6(1), Article 1. https://doi.org/10.7454/arsi.v6i1.2880

Gesulga, J. M., Berjame, A., Moquiala, K. S., & Galido, A. (2017). Barriers to Electronic Health Record System Implementation and Information Systems Resources: A Structured Review. Procedia Computer Science, 124, 544–551. https://doi.org/10.1016/j.procs.2017.12.188

Gunawan, H. (2018). Analisis Pengaruh Gender Dalam Penerimaan Teknologi “Smart City†Dengan Model Technology Acceptance Model (TAM).

Jawhari, B., Keenan, L., Zakus, D., Ludwick, D., Isaac, A., Saleh, A., & Hayward, R. (2016). Barriers and facilitators to Electronic Medical Record (EMR) use in an urban slum. International Journal of Medical Informatics, 94, 246–254. https://doi.org/10.1016/j.ijmedinf.2016.07.015

Jedwab, R. M., Manias, E., Hutchinson, A. M., Dobroff, N., & Redley, B. (2022a). Nurses’ Experiences After Implementation of an Organization-Wide Electronic Medical Record: Qualitative Descriptive Study. JMIR Nursing, 5(1), e39596. https://doi.org/10.2196/39596

Jedwab, R. M., Manias, E., Hutchinson, A. M., Dobroff, N., & Redley, B. (2022b). Understanding nurses’ perceptions of barriers and enablers to use of a new electronic medical record system in Australia: A qualitative study. International Journal of Medical Informatics, 158, 104654. https://doi.org/10.1016/j.ijmedinf.2021.104654

Kalayou, M. H., Endehabtu, B. F., & Tilahun, B. (2020). The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings. Journal of Multidisciplinary Healthcare, 13, 1827–1837. https://doi.org/10.2147/JMDH.S284973

Keshta, I., & Odeh, A. (2021). Security and privacy of electronic health records: Concerns and challenges. Egyptian Informatics Journal, 22(2), 177–183. https://doi.org/10.1016/j.eij.2020.07.003

Kinanti, F. S. (2021). Evaluasi penggunaan sistem informasi manajemen keperawatan di rs jiwa grhasia daerah istimewa yogyakarta. Journal of Information Systems for Public Health, 5(3), Article 3. https://doi.org/10.22146/jisph.43831

Kruse, C. S., Smith, B., Vanderlinden, H., & Nealand, A. (2017). Security Techniques for the Electronic Health Records. Journal of Medical Systems, 41(8), 127. https://doi.org/10.1007/s10916-017-0778-4

Mahalli, A. El. (2015). Adoption and Barriers to Adoption of Electronic Health Records by Nurses in Three Governmental Hospitals in Eastern Province, Saudi Arabia. Perspectives in Health Information Management, 12(Fall), 1f.

Manca, D. P. (2015). Do electronic medical records improve quality of care? Canadian Family Physician, 61(10), 846–847.

Marthen, S., Fery Agusman Motuho Mendrofa, F., & Susi, N. (2022). Rancangan Desain Dokumentasi Asuhan Keperawatan SDKI, SLKI, SIKI Dalam Meningkatkan Kepuasan Pelayanan di Rumah Sakit. Universitas Karya Husada Semarang. http://eprints.unkaha.ac.id/467/

McCarthy, B., Fitzgerald, S., O’Shea, M., Condon, C., Hartnett-Collins, G., Clancy, M., Sheehy, A., Denieffe, S., Bergin, M., & Savage, E. (2019). Electronic nursing documentation interventions to promote or improve patient safety and quality care: A systematic review. Journal of Nursing Management, 27(3), 491–501. https://doi.org/10.1111/jonm.12727

Mohammadi Firouzeh, M., Jafarjalal, E., Emamzadeh Ghasemi, H. S., Bahrani, N., & Sardashti, S. (2017). Evaluation of vocal-electronic nursing documentation: A comparison study in Iran. Informatics for Health & Social Care, 42(3), 250–260. https://doi.org/10.1080/17538157.2016.1178119

Muinga, N., Magare, S., Monda, J., English, M., Fraser, H., Powell, J., & Paton, C. (2020). Digital health Systems in Kenyan Public Hospitals: A mixed-methods survey. BMC Medical Informatics and Decision Making, 20, 2. https://doi.org/10.1186/s12911-019-1005-7

Murphy, D. R., Satterly, T., Rogith, D., Sittig, D. F., & Singh, H. (2019). Barriers and facilitators impacting reliability of the electronic health record-facilitated total testing process. International Journal of Medical Informatics, 127, 102–108. https://doi.org/10.1016/j.ijmedinf.2019.04.004

Ologeanu-Taddei, R., Morquin, D., Domingo, H., & Bourret, R. (2015). Understanding the acceptance factors of an Hospital Information System: Evidence from a French University Hospital. AMIA Annual Symposium Proceedings, 2015, 1001–1007.

Pratami, S. W. (2018). Pengaruh Faktor Persepsi, Sosial-Demografi dan Keuangan terhadap Preferensi Masyarakat Dalam Penggunaan Alat Pembayaran Non Tunai (Studi Kasus pada Pengguna APMK dan Uang Elektronik di Kota Malang). Jurnal Ilmiah Mahasiswa FEB, 7(1).

Shosha, G. A. (2012). EMPLOYMENT OF COLAIZZI’S STRATEGY IN DESCRIPTIVE PHENOMENOLOGY: A REFLECTION OF A RESEARCHER. European Scientific Journal, 8. https://doi.org/10.19044/esj.2012.v8n27p

Supriyati, S., & Cholil, M. (2017). Aplikasi Technology Acceptance Model pada Sistem Informasi Manajemen Rumah Sakit. Jurnal Bisnis dan Manajemen (Journal of Business and Management), 17(1), 81–102. https://doi.org/10.20961/jbm.v17i1.12308

Surendran, P. (2012). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research.

Taherdoost, H. (2019). Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies. Global Journal of Engineering Sciences, 1. https://doi.org/10.33552/GJES.2019.01.000511

Tertulino, R., Antunes, N., & Morais, H. (2023). Privacy in electronic health records: A systematic mapping study. Journal of Public Health. https://doi.org/10.1007/s10389-022-01795-z

Tsai, C. H., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content. Life (Basel, Switzerland), 10(12), 327. https://doi.org/10.3390/life10120327

Tubaishat, A. (2018). Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model. Informatics for Health and Social Care, 43(4), 379–389. https://doi.org/10.1080/17538157.2017.1363761

Tubaishat, A. (2019). The effect of electronic health records on patient safety: A qualitative exploratory study. Informatics for Health & Social Care, 44(1), 79–91. https://doi.org/10.1080/17538157.2017.1398753

Wirihana, L., Welch, A., Williamson, M., Christensen, M., Bakon, S., & Craft, J. (2018). Using Colaizzi’s method of data analysis to explore the experiences of nurse academics teaching on satellite campuses. Nurse Researcher, 25(4), 30–34. https://doi.org/10.7748/nr.2018.e1516

Zaman, N., Goldberg, D. M., Kelly, S., Russell, R. S., & Drye, S. L. (2021). The Relationship between Nurses’ Training and Perceptions of Electronic Documentation Systems. Nursing Reports, 11(1), 12–27. https://doi.org/10.3390/nursrep11010002

Downloads

Additional Files

Published

2023-03-26

Issue

Vol. 7 No. 1 (2023): Maret

Section

Original Research Paper

License

Copyright (c) 2023 JHeS (Journal of Health Studies)

Creative Commons License

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

With the receipt of the article by the Journal of Health Studies Editorial Board and the decision to be published, then the copyright regarding the article will be diverted to Journal of Health Studies. Universitas 'Aisyiyah Yogyakarta as the publisher of Journal of Health Studies hold the copyright regarding all the published articles in this journal.

Journal of Health Studies is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

SHARE THIS