JMIR Publications

ABSTRACT

Background:

As digital technologies become increasingly important in health care, it is important to determine whether and why potential users intend to use such health information systems (HIS). Several theories exist, but they focus mainly on aspects of health care or information systems, in addition to general psychological theories.

Objective:

The intention to use new HIS is investigated that represents decisions concerning short- and long-term treatments to meet diseases.

Methods:

We develop an integrated theoretical model that allows us to analyze the duality approach of adaptive and non-adaptive appraisals and their influence on the intention to use HIS. We apply the integrated theoretical model to the short-term treatment using Artificial intelligence-based HIS for surgery and the long-term treatment of diabetes tracking.

Results:

The survey responses of 496 individuals hypothetically suffering from arthrosis and cataract for short-term decisions and 197 individuals actually suffering from diabetes for long-term decisions were examined separately using SmartPLS 4.0.8.9. We used various methods to statistically test our structural and measurement models. The results show that our integrated model can be successfully applied and provides important insights concerning which factors are relevant for using HIS for short- and long-term treatments.

Conclusions:

We contribute to health information systems literature by highlighting the importance of integrating disease- and technology-related factors within an integrated model. Physicians and HIS developers can use our insights to identify promising rationale for HIS adoption concerning short- and long-term treatments and adapt and develop HIS accordingly.