Why are your Data Engineers not helping you succeed as a Healthcare company?

 Are you investing heavily in data engineering but still falling short of achieving meaningful results in your healthcare business? Discover why your data engineers are not helping you succeed as a healthcare company and what critical gaps may be undermining your efforts.

This insightful blog by AntStack dives into the growing disconnect between healthcare goals and traditional data engineering practices. While data engineers are skilled at building pipelines and managing infrastructure, they often lack the domain-specific context needed to drive clinical and operational impact. The result? Misaligned KPIs, under-leveraged datasets, and siloed solutions that don't translate into real business outcomes.

The article explores common reasons behind this gap, such as the absence of cross-functional collaboration, lack of healthcare data literacy, and rigid tech stacks. More importantly, it offers a roadmap to bridge this divide—by integrating domain expertise, embracing serverless data architectures, and fostering a culture of data ownership across clinical and operational teams.

Whether you're a CTO, CIO, or healthcare innovator, this blog is a must-read to realign your data strategy for true value creation.