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In a recent interview, Steve DeWeese, our Vice President of Growth & Revenue at CareInsight, tackled some of the biggest challenges in personalized care. He highlighted how traditional risk models often rely on incomplete data, overlooking critical factors like genetic predispositions and social determinants of health. This can lead to gaps in care and missed opportunities for early intervention.   To address these challenges, Steve discussed how our health3d.ai platform integrates a broad range of data sources—genetic sequences, medical histories, and socioeconomic factors—to build a comprehensive view of each individual's health. Combined with our careassistant.ai platform, care managers gain access to personalized risk assessments, empowering them to create more effective, tailored care strategies.   What are your thoughts on the limitations of current care models? How do you handle incomplete data in your care management? https://lnkd.in/eNYUrF2E   #HealthcareInnovation #PersonalizedCare #DataDrivenHealth #CareManagement #HealthTech

Enhancing Care with Comprehensive Data: A New Era in Personalized Health Management - Care Insight

Enhancing Care with Comprehensive Data: A New Era in Personalized Health Management - Care Insight

https://careinsight.ai

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