Skip to content
Research Article Open access CC BY 4.0

Factors Determining the Intention to Use Electronic Health Records: An Extension of the Technology Acceptance Model

Oladotun O. Okediran, Wajeed B. Wahab, Mayowa O. Oyediran

Journal of Scientific Research and Reports · pp. 119–133 · Published 23 Sep 2020

10.9734/jsrr/2020/v26i730290

Abstract

This paper details an empirical investigation of the factors that determine the intention of adopting and using electronic health records (EHR). The paper’s goal is a study aimed at examining the possibilities and intents towards EHR amongst healthcare professionals in Nigeria. In this study, an extended Technology Acceptance Model (TAM) that incorporates Subjective norm, Social influence, Result demonstrability, Computer self-efficacy and System quality to the original TAM constructs was proposed. The proposed model was empirically tested using data collected from a sample of 126 healthcare professionals across 14 healthcare delivery institutions in Oyo State, Southwestern, Nigeria by applying structural equation modeling (SEM). These data were collected by administering a questionnaire containing 30 items. The results of the evaluation showed that all constructs have significant effect on healthcare professionals’ behavioural intention to use EHR.

Electronic health records technology acceptance model subjective norm social influence result demonstrability computer self-efficacy system quality.

Cited by 3

Integrative adoption model for personal health records: A structural equation modeling approach

Department of Information Systems and Technology, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia, Riad Alharbey · International Journal of ADVANCED AND APPLIED SCIENCES · 2022

A review on intelligent information systems for handling electronic child patient health records

Shailesh Gahane, Prateek Verma · AIP Conference Proceedings · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

3

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.