Assessing task-technology fit in a PACS upgrade: do users' and developers' appraisals converge?

Area of Science:

• Medical Imaging Informatics
• Human-Computer Interaction
• Health Information Systems

Background:

• Picture Archiving and Communication Systems (PACS) are crucial in modern radiology.
• Upgrades aim to improve efficiency and user satisfaction, but perceived benefits can vary.
• Understanding the user-developer gap in technology perception is vital for successful implementation.

Purpose of the Study:

• To measure radiologists' perceived benefits of a PACS upgrade.
• To compare user perceptions with developers' predictions using the Task-Technology Fit (TTF) model.
• To investigate the relationship between TTF, utilization, and perceived net benefits.

Main Methods:

• A self-administered survey was used to collect data from radiologists at a university hospital.
• Key variables measured included impact, utilization, TTF, and perceived net benefits.
• Regression analysis and ANOVA were used to test hypotheses, with developer interviews for comparative predictions.

Main Results:

• Radiologists reported a moderate TTF, while developers predicted a high TTF.
• A moderate fit and underestimated impact led to low perceived net benefits.
• TTF predicted utilization and perceived net benefits, but utilization did not predict perceived net benefits.

Conclusions:

• TTF is a valid measure for assessing perceived benefits of PACS upgrades.
• User characteristics and perceptions must be considered for successful technology adoption.
• Alignment between user-perceived fit and developer-implemented functionality is essential for evolving PACS technology.