
Impact by the NUMBERS
Translating Technology into a Positive Impact
15%
reduction in attribution discrepancy
1200
hospitals’ and labs’ operational efficiency optimized
The Challenge
The client wanted to improve the healthcare experience of their patients. Moreover, they tried to reduce the risk of patients suffering from chronic/fatal diseases and increase value-based care margins.
The Solution
PCE is an analytics and communication system built to identify cohorts in a larger population by applying advance dynamic criteria. Dashboards showing cohort statistics were designed:
- Patient 360° view: Detailed patient history to provide personalized healthcare.
- Chronic disease patient cohort view: Full report of patient groups with particular diseases including their visits, diagnoses, tests and results, and gaps in care.
- fDiabetes population monitoring: Monitoring of the financial impact of pre-diabetes patients, and the patients enrolled in a diabetes management program.
- Patient engagement: Appointment reminders and rescheduling of missed appointments.
The Results
- 15% reduction in attribution discrepancy
- 1200 hospitals’ and labs’ operational efficiency optimized
The Services
- Personalization
- Recommendation
- Optimization
- Visualization
- Patient Segmentation
Technologies Used

Informatica

Power BI

Azure DevOps

Azure Synapse

Azure Data Lake Storage Gen2

Databricks
