Technology Acceptance in Healthcare: Embracing Electronic Health Records
In today’s fast-evolving healthcare sector, embracing technology acceptance, especially when it comes to Electronic Health Records (EHRs), is pivotal to improving patient outcomes, enhancing efficiency, and ensuring seamless care. The concept of technology acceptance—how users interact with and adopt new systems—is well explored through frameworks such as TAM (Technology Acceptance Model) and UTAUT (Unified Theory of Acceptance and Use of Technology), which remain foundational in healthcare studies MDPI.
Core Concept: Technology Acceptance in Healthcare
Technology acceptance in healthcare reflects providers' and patients’ willingness to adopt and effectively utilize technological tools like EHRs, telemedicine, or mobile health applications. While TAM emphasizes perceived usefulness and perceived ease of use, UTAUT builds further, incorporating social influence, trust, and behavioral intention. Research highlights that perceived usefulness strongly influences the intention to use technology, followed closely by perceived ease of use MDPI.
Secondary (LSI) Keyword: Electronic Health Records
Electronic Health Records serve as a practical and widely researched example that brings the abstract concept of technology acceptance into concrete focus. User satisfaction and system effectiveness ultimately depend on how readily healthcare professionals embrace EHRs in their daily workflows and comply with evolving regulatory and organizational demands.
Secondary Data & Contextual Detail
Empirical studies show that the intention to use is a dominant predictor of technology uptake—found across 125 separate investigations within healthcare settings MDPI. Models like TAM and UTAUT are frequently deployed to analyze acceptance trends, with TAM being the most commonly used framework (76 studies), followed by UTAUT (26 studies) MDPI. Additionally, factors such as trust, computer self-efficacy, anxiety, and innovativeness play non-negligible roles in shaping acceptance behavior MDPI.
When specifically considering EHR adoption, it’s evident that early positive perceptions (like ease of use and usefulness) significantly drive continued engagement and integration into clinical practice. Moreover, addressing obstacles like technological anxiety or lack of trust can further bolster acceptance, especially among users less familiar with digital systems.