Client:
Healthcare Technology Provider
Industry:
Healthcare
Context & Objectives
A leading healthcare provider seeking to streamline patient intake and reduce administrative workload.
Manual patient intake processes created inefficiencies and operational bottlenecks:
- Time-Consuming: Staff spent excessive hours collecting and entering patient data.
- Error-Prone: Manual entry led to record inaccuracies and compliance risks.
- High Costs: Significant investment in clerical support to manage intake.
- Patient Frustration: Long intake times and redundant data requests lowered satisfaction.
- Limited Scalability: Growing patient volumes strained existing workflows.
Approach & Solution
The VIG system will be developed iteratively, integrating AI, structured knowledge bases, and human expertise to maximize efficiency while ensuring quality and compliance. Key components include:
- Rx Analysis Automation: AI-powered extraction and validation of prescription details.
- Knowledge Base Development: Centralized repository linking drug and insurer-specific requirements.
- Conversational Assistance: AI chatbot for real-time Guide support.
- Feedback & Refinement: Continuous learning from human input to improve accuracy.
- Integration with LISA: Enhancements to the existing insurance interaction phone bot.
- Patient Insights Platform: Data-driven analytics for clinical and operational improvements.
Upon implementation, the VIG system is expected to:
- Automate complex workflows, reducing errors and processing time.
- Scale expert knowledge, enabling all Guides to benefit from real-time decision support.
- Provide data-driven insights to improve operational performance.
- Ensure a smooth transition from the LISA platform with long-term sustainability.
Results & Added Value
- Increased number of prescriptions processed per VIG per day.
- Support expansion without linear cost increases.
- Strengthened competitive advantage by leveraging AI-powered decision support to enhance patient care.
- Enabled data-driven collaborations with Pharma for research and development.
