Major technology companies including Google, Microsoft and IBM have invested in AI in healthcare sector. Thousands of AI start-ups are active launching innovative services related to healthcare.
The main objective of this study is to enhance understanding of AI based service innovation. The study analyzes AI convergence services created by startups as multi-dimensional modes of service innovation. Accordingly, the main research questions are:
How AI innovates service model in healthcare sector?
This study will provide a framework for analyzing the role of AI in convergence service innovation and how it can lead to business model innovation.
This study monitored more than 100 AI startups in healthcare sector (sourced from CB Insights, Crunchbase and etc). With the literature review about AI applications, our research team categorized AI convergence healthcare service into four segments and thirteen sub-segments.
Conceptual framework for case study
This study will adopt the theoretic framework about convergence service innovation process argued by former research (Yoon, 2017). It assumed service innovation typologies are applicable to the analysis of convergence service. In this regard, the study proposed four dimensional service innovation model including convergence technology, service product innovation, service process innovation and business model innovation.
AI healthcare service segmentation
Patient Data Analytics
Re-Engineering in Human Genome
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