Client: National Healthcare Network

Challenge:
Hospitals lacked the ability to use patient data effectively for proactive care. Clinical decisions were reactive, with delays in detecting critical patient conditions, leading to poor outcomes and higher costs.

Solution:
Chrysalis introduced a healthcare analytics framework combining EHR (Electronic Health Records), IoT wearable data, and medical imaging analysis. Key solutions included:

• Predictive Health Analytics – AI models predicted patient readmission risks and chronic disease progression.
• Clinical Decision Support – AI algorithms recommended treatment paths based on historical outcomes and global medical databases.
• Operational Analytics – Big data optimized resource allocation (e.g., ICU beds, staff scheduling, and equipment usage).
• Patient Engagement Tools – Personalized alerts and wellness recommendations for patients via mobile apps.

Results:
✔ 25% reduction in hospital readmissions.
✔ 40% faster decision-making with AI-assisted clinical insights.
✔ Improved patient satisfaction through proactive care and engagement.