Data Interoperability in the Healthcare Value Chain: A Systematic Literature Review (Preprint)

Abstract

BACKGROUND Data Interoperability in healthcare implies smooth information from multiple health- care systems, diverse providers, and multiple patient settings. Data interoperability has become increasingly important since technological advances propose a new landscape to achieve it. However, several barriers exist, such as inconsistent information across multiple sources or organizational resistance to sharing data under the value chain perspective. OBJECTIVE This study outlines a systematic literature review of the current research on data interoperability in the healthcare value chain. METHODS The study analyzed publication datasets from 2011 to 2022 from Scopus, Clarivates, IEEE Xplore, and PubMed/MEDLINE. The study methodology for querying, excluding, including, and selecting relevant research publications from scientific databases is detailed. The chosen research studies are classified and contrasted based on the scope and ontology. RESULTS Our study summarizes the state-of-the-art of healthcare value chain interoperability. The study included published articles from 2012 to 2022 after filtering from 5,834 studies gathered before the inclusion and exclusion criteria. The study found that 60% of the research studies were published from 2012 to 2022, which shows a considerable increment use of considering the interoperability topic in the last decade. CONCLUSIONS Our study is one of the initial efforts to develop a systematic review investigating data interoperability in the healthcare value chain holistically. It was shown that achieving interoperability is challenging because of the different data schemes, data legacy infrastructure, and need for data standardization, among other factors.