Overview
Our client is a leading provider of clinical practice optimization services, specializing in Drug Diversion Prevention. They contribute to community health by gathering data from multiple sources, with a strong focus on EPIC and Pyxis, to prevent drug misuse. However, the program’s intended goals and objectives were hindered by manual processes and a lack of data integration and validation capabilities
Challenge
- Data Reconciliation: The absence of an efficient method for reconciling data from multiple systems resulted in time-consuming and labour-intensive manual processes
- Data Processing and Insights: There was nostandardized process supported by technology for Data Integration and Validationto generate meaningful dashboard and reports for decision-making
Solution
We adopted a collaborative approach to create an Intelligent Analytical Platform that tackles the challenges of data integration, validation, and decision-making. The designed architecture gathers data from various sources and utilizes the Azure cloud to orchestrate data-driven performance insights, ensuring sustainable data management through automation, integration, and machine learning to achieve the program goal – “Drug Diversion Prevention”
Result
- A unified portal to provide granular insights on
- Drug utilization
- Waste discrepancy
- False documentation
- Predictive detection
- Drug misuse patterns
- Effort Saving: about 80% of analyst’s effort is being saved in manual data gathering and ad-hoc report preparation
- Secured interactionsand complied to HIPPA standards, real-time data for auditors
Conclusion
Intelligent Analytical Platformsuccessfully addressed process and program challenges,and provided insights that resulted in-
- Decreases the time and resources needed to gather and utilize data
- Enhances hospital reputation leading to higher revenue andcreated a competitive advantage
- Speeds up the successful adoption of value-based care
