Automate Data Entry into HomeCare HomeBase
Project Insight
Automate Data Entry into EHR
Entering referral data into the EHR system, HomeCare HomeBase, is a time-sensitive task requiring high availability of staff. The process involves using additional third-party tools to streamline information based on referral type and documentation availability, often burdening clinical resources with data entry tasks.
Solution Implementation
Swift Data Retrieval: Quickly retrieve referral information and assess its completeness.
Discrete Data Entry: Enter data into relevant fields without being constrained by the unavailability of an API.
Accurate Data Mapping: Map data accurately to EHR conventions.
Document Management: Attach documents at relevant points and alert the operations team when action is required.
The challenge was to cohesively integrate this process into current operations and swiftly migrate labor-intensive work to the new automated system.
Results
The implementation of the automated system yielded remarkable improvements:
Speed and Efficiency: The system can extract and integrate data into the EHR in just 90 seconds, transforming the referral intake process.
Real-Time Oversight: Actions are streamed on a dashboard, providing real-time oversight for the operations team.
Action Triggers and Gap Assessment: The system triggers actions and assesses referral completion, constantly offering opportunities to reduce manual efforts and fill in gaps promptly.
This case study demonstrates our ability to enhance operational efficiency in healthcare organizations by leveraging advanced automation and AI technologies for critical tasks like EHR data entry.
Domain & Technology
- Microsoft Power Automate
- Azure SQL
- Azure BLOB Storage
- OpenAI’s GPT
- Langchain
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