A Taxonomy for Business Models of Data-driven Healthcare Services

Abstract

The amount of health-related data is increasing. Recent advancements in Big Data analytics and related statistical and computational tools raised interest in data-driven healthcare services. Data-driven healthcare (DHC) service supports healthcare by providing data and analytics to create value for the customer. DHC has different business characteristics from conventional healthcare services in terms of scope, target, and player covered by the service. Despite the increasing importance of DHC, there is still limited research on DHC business models. As a result, it’s hard to know in detail how to use valuable health-related data. For companies, there is a need for definite comprehension of the properties of DHC services to develop an appropriate strategy and thus exploit new opportunities. Therefore, this study was conducted to find the main elements to be examined when designing and evaluating business models of DHC services. Therefore, the objective of this study is to produce a taxonomy to find key dimensions and their corresponding items of business models of the DHC service. This study employs an iterative taxonomy development method for taxonomy development to systematically derive a taxonomy that reflects both literature research and DHC service cases. This study derives nine dimensions and 42 corresponding items. For researchers, the proposed taxonomy derives dimensions that should be considered mainly in business model research of DHC. For practitioners, our taxonomy serves as a strategic management tool for designing and benchmarking existing DHC services business models.