Abstract
Healthcare industries are facing an enormous flow of medical records due to the progression of information technology and the trend of digital transformation. Thus, medical information digitalization is a huge digital dataset that can be utilized to benefit healthcare systems and patients. While many studies focus on the application of the digitalized medical information in the healthcare field, only a few mentioned its resistance. The theoretical background depicts a comprehensive overview of medical information digitalization and the barriers in previous literature. This study emphasized the interaction of medical information digitalization barriers and applies the importance-resistance analysis model (IRA) to identify the resistant factors overcoming strategy. It also clarifies the pathway to eliminating the innovation resistance and reveals the interaction of medical information digitalization barriers. The acquisition, management, and application of medical information digitalization are the key foundation of medical technology innovation, digital transformation, and the application of artificial intelligence. This work can reduce the limitation of a narrow healthcare context. This study helps healthcare industries to clarify and solve barriers and realizes the innovation and application of medical information digitalization. In the long term, the results provide a basis for the future development direction of medical information digitalization and affect the medical industry.
Highlights
Introduction iationsDigitalization has become a more and more important aspect in all fields in our lives
Based on innovation resistance theory [68], this paper uses expertise, operation, resource, regulation, and market access barriers as the major dimensions to further investigate resistance factors encountered by medical institutions in developing medical information digitalization systems
A semistructured interview questionnaire was designed based on literature of innoTo further determine the best strategies to remove organizational barriers to medical vation resistance and medical information digitalization to understand resistance factors information digitalization system implementation, we propose an improvement model, faced by medical institutions when introducing medical information digitalization systems
Summary
Digitalization has become a more and more important aspect in all fields in our lives. The digitalization of medical information could benefit the healthcare system through various aspects. The importance and difficulty of the dimensions and resistance factors as well as their distribution were determined using IRA. The interaction relationship of each dimension can be demonstrated by NRM to confirm the strategy of medical information digitalization development. This research used five dimensions to conduct IRA. Digitalized analysis and process (DAP) is located in the quadrant that represents high importance and low difficulty. Medical institutions should improve or solve this dimension first. Regulation and constraints (RC) and infrastructure resources (IR) are located in the quadrant that represents high importance and high difficulty. Medical institutions should invest resources in these dimensions.
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