Study
Innovation & MarketsHigh ImpactStrong effect

Performance Expectancy and Effort Expectancy Drive Physician Adoption of Electronic Medical Records

Physicians are more likely to adopt Electronic Medical Records (EMR) when they perceive the technology will enhance their job performance and is easy to use.

Communications of the Association for Information Systems · 2007

01

Key Findings

  • 01Performance expectancy (perceived usefulness) was a significant predictor of behavioral intention to use EMRs.
  • 02Effort expectancy (perceived ease of use) was also a significant predictor of behavioral intention to use EMRs.
  • 03Social influence and facilitating conditions showed less significant impact on behavioral intention in this context.
02

Application

Design takeaway

Focus design efforts on clearly communicating and delivering tangible performance improvements and ensuring a highly intuitive user experience to drive adoption of new technologies.

How to apply

When developing new professional tools, conduct user research to identify key performance benefits and design for maximum usability and minimal learning curve.

Project actions

  • 01When designing a new product, think about how it will help the user do their job better.
  • 02Make sure your design is easy for people to understand and use without much training.
03

Method & Evidence

AimTo identify the key factors influencing physician adoption of Electronic Medical Records (EMR) technology.
MethodQuantitative survey research applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model.
ProcedureA survey was administered to physicians to gather data on their perceptions of performance expectancy, effort expectancy, social influence, and facilitating conditions related to EMR adoption, as well as their behavioral intention to use EMRs.
ContextHealthcare industry, specifically physician adoption of EMR systems.

Variables

IV["Performance Expectancy","Effort Expectancy","Social Influence","Facilitating Conditions"]
DV["Behavioral Intention to Use EMRs"]
CV["Demographic characteristics of physicians","Type of healthcare setting"]
04

Strengths & Limitations

Strengths

  • +Application of a well-established theoretical model (UTAUT).
  • +Focus on a critical area of technological change in healthcare.

Limitations

The study was conducted in 2007, and technology and user expectations have evolved significantly since then.

Reliability & validity

The use of a validated model like UTAUT enhances the construct validity. Reliability would depend on the consistency of responses across participants and potential re-testing.

Think critically

How might other factors, such as organizational support or technical infrastructure, influence physician adoption beyond individual perceptions of performance and effort?

05

Design Principles

"Technology adoption is significantly influenced by perceived utility and ease of use."

Understanding the core drivers of technology adoption is crucial for successful implementation in professional settings. By focusing on perceived benefits and ease of use, design teams can better tailor solutions to meet user needs and overcome resistance.

06

What This Means for Your Design

Doctors are more likely to use new computer systems for patient records if they think it will make their job easier and better, and if the system is simple to operate.

How to use in your project

  • 1.Use the findings to justify design choices that enhance perceived usefulness and ease of use in your design project.
  • 2.Reference this study when discussing the importance of user-centric design principles in technology adoption.
07

Add to My Project

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Quick Cite

(2007). Information Systems and Healthcare XVI: Physician Adoption of Electronic Medical Records: Applying the UTAUT Model in a Healthcare Context. Communications of the Association for Information Systems. https://doi.org/10.17705/1cais.01905 Retrieved from https://designdex.org/study/5dec8b7b-fe0f-4032-9871-b15a8e42a69b/performance-expectancy-and-effort-expectancy-drive-physician-adoption-of-electronic-medical-records

Paragraph starter

This research highlights that for professional technologies like Electronic Medical Records, perceived usefulness (performance expectancy) and perceived ease of use (effort expectancy) are critical drivers of adoption. Therefore, any design aiming for successful implementation must prioritize demonstrating clear functional benefits and ensuring an intuitive, user-friendly interface to overcome potential resistance and encourage uptake.

09

Source

Communications of the Association for Information Systems

Information Systems and Healthcare XVI: Physician Adoption of Electronic Medical Records: Applying the UTAUT Model in a Healthcare Context

journal · 2007

View source

Questions about this research

What does the research say about performance expectancy and effort expectancy drive physician adoption of electronic medical records?
Focus design efforts on clearly communicating and delivering tangible performance improvements and ensuring a highly intuitive user experience to drive adoption of new technologies. Evidence: Communications of the Association for Information Systems (2007).
Why does "Performance Expectancy and Effort Expectancy Drive Physician Adoption of Electronic Medical Records" matter for design?
Understanding the core drivers of technology adoption is crucial for successful implementation in professional settings. By focusing on perceived benefits and ease of use, design teams can better tailor solutions to meet user needs and overcome resistance.
How can designers apply this research?
Focus design efforts on clearly communicating and delivering tangible performance improvements and ensuring a highly intuitive user experience to drive adoption of new technologies.
What were the main findings?
Performance expectancy (perceived usefulness) was a significant predictor of behavioral intention to use EMRs.. Effort expectancy (perceived ease of use) was also a significant predictor of behavioral intention to use EMRs.. Social influence and facilitating conditions showed less significant impact on behavioral intention in this context.
What research method was used?
Quantitative survey research applying the Unified Theory of Acceptance and Use of Technology (UTAUT) model..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2007 journal from Communications of the Association for Information Systems.
What should I do differently in my next project?
When developing new professional tools, conduct user research to identify key performance benefits and design for maximum usability and minimal learning curve.
What are the limitations?
The study's findings may be specific to the healthcare context and the particular EMR systems in use at the time of the research.
Is there evidence that physician adoption affects design outcomes?
Physicians' belief that EMRs will improve their work and the ease with which they can use the system are the primary motivators for adopting this technology. Understanding the core drivers of technology adoption is crucial for successful implementation in professional settings. By focusing on perceived benefits and eas Source: Communications of the Association for Information Systems (2007).
Where does this adoption electronic research apply?
Healthcare industry, specifically physician adoption of EMR systems. It sits within innovation & markets research on designdex.org.

Related research topics

physician adoption design research · evidence on physician adoption · does physician adoption improve design outcomes · adoption electronic studies for designers · physician adoption and adoption electronic findings · innovation & markets research evidence