Streamlining Your CDI Engine: Configurable Workflows for Data Democratization
28th November 2024 | 11am PST
Speakers
Building and maintaining a robust Clinical Data Integration (CDI) program can be a time-consuming task. However, the real value lies in unlocking the power of the data it generates.
This webinar dives into the power of pre-configured workflows for streamlining your CDI program and achieving true data democratization within your organization. Health Chain empowers you to transform your CDI program into a data-driven powerhouse through:
- Pre-Built Templates & Protocols: Leverage pre-built templates and protocols tailored to specific diagnoses and procedures. This eliminates development time and ensures consistency, allowing staff to focus on higher-level analysis.
- Automated Validation Rules: Implement automated clinical validation rules to ensure data accuracy and consistency. These automated checks catch errors early, freeing up valuable staff time for data exploration and trend identification.
Automate Away the Busywork: Utilize robust CDI software to automate tedious tasks like data extraction and querying. This frees up valuable staff time for analysis, intervention planning, and driving quality improvement initiatives.
- Identify trends and patterns in member populations.
- Develop targeted interventions to improve care delivery and outcomes.
- Support quality improvement initiatives with data-driven insights.
Takeaways:
- Discover how pre-configured solutions can significantly reduce the time and resources required to maintain your CDI program, freeing up staff for analysis and value creation.
- Learn strategies to empower staff at all levels with the data they need to make informed decisions, fostering a data-driven culture across your organization.
- Gain insights into how efficient CDI workflows with pre-built components can lead to improved data quality, informed decision-making at all levels, and a maximized return on your CDI investment.
- Get a free copy of Gartner’s report on “How Clinical Data Integration Improves U.S. Healthcare Payer Interoperability”
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