Advancing digital health in information systems research: Insights from a text mining analysis

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Abstract

The advancement and adoption of digital health technologies promise improved healthcare outcomes globally. However, numerous challenges hinder their widespread adoption. Existing IS research offers a plethora of works addressing these challenges, making it difficult to navigate the jungle of health IS research. Thus, we need a structured overview identifying the current knowledge state. Using a text mining approach, we analyze 484 papers from leading IS journals to synthesize health topics across digital health technologies. Our study uncovers key health topics and trends, traces their evolution over time, and identifies knowledge gaps within current IS literature. Our findings underscore the importance of emerging technologies and additional stakeholders in context-sensitive healthcare. We propose a research agenda to extend the scope of health-related IS research and suggest avenues for future exploration. We advocate for IS researchers to collaborate more closely with related fields to stay at the forefront of advancements.

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APA

Weissenfels, S., Nissen, A., & Smolnik, S. (2025). Advancing digital health in information systems research: Insights from a text mining analysis. Electronic Markets, 35(1). https://doi.org/10.1007/s12525-025-00768-w

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